From fdf19edf09a198fc8aa76d02daa034c41963c49f Mon Sep 17 00:00:00 2001 From: lyvette Date: Sat, 8 Aug 2020 11:16:58 +0800 Subject: [PATCH] merge similar parsers. modify parser format --- mindspore/lite/src/model_impl.cc | 2 + mindspore/lite/src/populate_parameter.cc | 12 + mindspore/lite/test/run_test.sh | 28 +- .../parser/tflite/tflite_abs_parser.cc | 41 -- .../parser/tflite/tflite_abs_parser.h | 41 -- .../parser/tflite/tflite_activation_parser.cc | 133 +++++++ .../parser/tflite/tflite_activation_parser.h | 85 ++++ .../parser/tflite/tflite_add_parser.cc | 87 ---- .../parser/tflite/tflite_add_parser.h | 42 -- .../parser/tflite/tflite_addn_parser.cc | 17 +- .../parser/tflite/tflite_argmax_parser.cc | 17 +- .../parser/tflite/tflite_argmin_parser.cc | 17 +- .../parser/tflite/tflite_arithmetic_parser.cc | 370 ++++++++++++++++++ .../parser/tflite/tflite_arithmetic_parser.h | 207 ++++++++++ .../tflite/tflite_batch_to_sapce_nd_parser.cc | 53 --- .../tflite/tflite_batch_to_sapce_nd_parser.h | 41 -- .../tflite/tflite_batch_to_space_parser.cc | 33 +- .../tflite/tflite_batch_to_space_parser.h | 9 +- .../tflite/tflite_broadcast_to_parser.cc | 17 +- .../parser/tflite/tflite_cast_parser.cc | 17 +- .../parser/tflite/tflite_ceil_parser.cc | 41 -- .../parser/tflite/tflite_ceil_parser.h | 42 -- .../parser/tflite/tflite_concat_parser.cc | 17 +- .../parser/tflite/tflite_conv_parser.cc | 21 +- .../parser/tflite/tflite_converter.h | 6 +- .../parser/tflite/tflite_cos_parser.cc | 41 -- .../parser/tflite/tflite_cos_parser.h | 41 -- .../parser/tflite/tflite_deconv_parser.cc | 19 +- .../tflite/tflite_depth_to_space_parser.cc | 17 +- .../tflite/tflite_depthwise_conv_parser.cc | 32 +- .../parser/tflite/tflite_div_parser.cc | 86 ---- .../parser/tflite/tflite_div_parser.h | 42 -- .../parser/tflite/tflite_equal_parser.cc | 43 -- .../parser/tflite/tflite_equal_parser.h | 41 -- .../parser/tflite/tflite_exp_parser.cc | 43 -- .../parser/tflite/tflite_exp_parser.h | 41 -- .../tflite/tflite_expand_dims_parser.cc | 10 + .../parser/tflite/tflite_fakequant_parser.cc | 21 +- .../parser/tflite/tflite_fill_parser.cc | 17 +- .../parser/tflite/tflite_floor_div_parser.cc | 45 --- .../parser/tflite/tflite_floor_div_parser.h | 42 -- .../parser/tflite/tflite_floor_mod_parser.cc | 45 --- .../parser/tflite/tflite_floor_mod_parser.h | 42 -- .../parser/tflite/tflite_floor_parser.cc | 45 --- .../parser/tflite/tflite_floor_parser.h | 42 -- .../tflite/tflite_fullyconnected_parser.cc | 21 +- .../parser/tflite/tflite_gather_nd_parser.cc | 17 +- .../parser/tflite/tflite_gather_parser.cc | 17 +- .../tflite/tflite_greater_equal_parser.cc | 43 -- .../tflite/tflite_greater_equal_parser.h | 41 -- .../parser/tflite/tflite_greater_parser.cc | 43 -- .../parser/tflite/tflite_greater_parser.h | 41 -- .../parser/tflite/tflite_hard_swish_parser.cc | 17 +- .../parser/tflite/tflite_leaky_relu_parser.cc | 49 --- .../parser/tflite/tflite_leaky_relu_parser.h | 41 -- .../parser/tflite/tflite_less_equal_parser.cc | 43 -- .../parser/tflite/tflite_less_equal_parser.h | 41 -- .../parser/tflite/tflite_less_parser.cc | 43 -- .../parser/tflite/tflite_less_parser.h | 41 -- .../parser/tflite/tflite_log_parser.cc | 41 -- .../parser/tflite/tflite_log_parser.h | 41 -- .../tflite/tflite_logical_and_parser.cc | 41 -- .../tflite/tflite_logical_not_parser.cc | 41 -- .../parser/tflite/tflite_logical_not_parser.h | 41 -- .../parser/tflite/tflite_logical_or_parser.cc | 41 -- .../parser/tflite/tflite_logical_or_parser.h | 41 -- .../parser/tflite/tflite_logical_parser.cc | 70 ++++ ...l_and_parser.h => tflite_logical_parser.h} | 20 +- .../parser/tflite/tflite_logistic_parser.cc | 46 --- .../parser/tflite/tflite_logistic_parser.h | 42 -- .../parser/tflite/tflite_lrn_parser.cc | 17 +- .../tflite/tflite_max_pooling_parser.cc | 60 --- .../parser/tflite/tflite_max_pooling_parser.h | 42 -- .../parser/tflite/tflite_maximum_parser.cc | 41 -- .../parser/tflite/tflite_maximum_parser.h | 41 -- .../parser/tflite/tflite_mean_parser.cc | 53 --- .../parser/tflite/tflite_mean_parser.h | 41 -- .../tflite/tflite_mean_pooling_parser.cc | 60 --- .../parser/tflite/tflite_minimum_parser.cc | 41 -- .../parser/tflite/tflite_minimum_parser.h | 41 -- .../parser/tflite/tflite_model_parser.cc | 48 +-- .../parser/tflite/tflite_model_parser.h | 15 +- .../parser/tflite/tflite_mul_parser.cc | 88 ----- .../parser/tflite/tflite_mul_parser.h | 42 -- .../parser/tflite/tflite_node_parser.cc | 80 +--- .../parser/tflite/tflite_node_parser.h | 42 +- .../tflite/tflite_node_parser_registry.h | 6 +- .../parser/tflite/tflite_not_equal_parser.cc | 43 -- .../parser/tflite/tflite_not_equal_parser.h | 41 -- .../parser/tflite/tflite_one_hot_parser.cc | 17 +- .../parser/tflite/tflite_p_relu_parser.cc | 47 --- .../parser/tflite/tflite_p_relu_parser.h | 40 -- .../parser/tflite/tflite_pad_parser.cc | 17 +- .../parser/tflite/tflite_pooling_parser.cc | 80 ++++ ...oling_parser.h => tflite_pooling_parser.h} | 14 +- .../parser/tflite/tflite_pow_parser.cc | 47 --- .../parser/tflite/tflite_pow_parser.h | 42 -- .../parser/tflite/tflite_range_parser.cc | 17 +- .../parser/tflite/tflite_rank_parser.cc | 17 +- .../parser/tflite/tflite_real_div_parser.cc | 43 -- .../parser/tflite/tflite_real_div_parser.h | 41 -- .../parser/tflite/tflite_reduce_any_parser.cc | 56 --- .../parser/tflite/tflite_reduce_any_parser.h | 41 -- .../parser/tflite/tflite_reduce_max_parser.cc | 53 --- .../parser/tflite/tflite_reduce_min_parser.cc | 53 --- .../parser/tflite/tflite_reduce_min_parser.h | 41 -- .../parser/tflite/tflite_reduce_parser.cc | 93 +++++ ...ce_max_parser.h => tflite_reduce_parser.h} | 35 +- .../tflite/tflite_reduce_prod_parser.cc | 53 --- .../parser/tflite/tflite_reduce_prod_parser.h | 41 -- .../parser/tflite/tflite_relu6_parser.cc | 43 -- .../parser/tflite/tflite_relu6_parser.h | 41 -- .../parser/tflite/tflite_relu_parser.cc | 43 -- .../parser/tflite/tflite_relu_parser.h | 41 -- .../parser/tflite/tflite_reshape_parser.cc | 22 +- .../tflite/tflite_resize_bilinear_parser.cc | 72 ---- .../tflite_resize_nearest_neighbor_parser.cc | 73 ---- .../tflite_resize_nearest_neighbor_parser.h | 42 -- .../parser/tflite/tflite_resize_parser.cc | 100 +++++ ...linear_parser.h => tflite_resize_parser.h} | 18 +- .../parser/tflite/tflite_reverse_parser.cc | 17 +- .../tflite/tflite_reverse_sequence_parser.cc | 20 +- .../parser/tflite/tflite_round_parser.cc | 43 -- .../parser/tflite/tflite_round_parser.h | 41 -- .../parser/tflite/tflite_rsqrt_parser.cc | 41 -- .../parser/tflite/tflite_rsqrt_parser.h | 41 -- .../parser/tflite/tflite_scatter_nd_parser.cc | 17 +- .../parser/tflite/tflite_shape_parser.cc | 17 +- .../parser/tflite/tflite_sin_parser.cc | 41 -- .../parser/tflite/tflite_sin_parser.h | 41 -- .../parser/tflite/tflite_slice_parser.cc | 17 +- .../parser/tflite/tflite_softmax_parser.cc | 17 +- .../tflite/tflite_space_to_batch_nd_parser.cc | 17 +- .../tflite/tflite_space_to_depth_parser.cc | 17 +- .../tflite/tflite_sparse_to_dense_parser.cc | 17 +- .../parser/tflite/tflite_split_parser.cc | 17 +- .../parser/tflite/tflite_split_v_parser.cc | 18 +- .../parser/tflite/tflite_sqrt_parser.cc | 41 -- .../parser/tflite/tflite_sqrt_parser.h | 41 -- .../parser/tflite/tflite_square_parser.cc | 41 -- .../parser/tflite/tflite_square_parser.h | 42 -- .../tflite_squared_difference_parser.cc | 41 -- .../tflite/tflite_squared_difference_parser.h | 42 -- .../parser/tflite/tflite_squeeze_parser.cc | 17 +- .../parser/tflite/tflite_stack_parser.cc | 17 +- .../tflite/tflite_strided_slice_parser.cc | 17 +- .../parser/tflite/tflite_sub_parser.cc | 90 ----- .../parser/tflite/tflite_sub_parser.h | 42 -- .../parser/tflite/tflite_sum_parser.cc | 54 --- .../parser/tflite/tflite_sum_parser.h | 40 -- .../parser/tflite/tflite_tanh_parser.cc | 43 -- .../parser/tflite/tflite_tanh_parser.h | 42 -- .../parser/tflite/tflite_tile_parser.cc | 17 +- .../parser/tflite/tflite_topk_v2_parser.cc | 17 +- .../parser/tflite/tflite_transpose_parser.cc | 19 +- .../parser/tflite/tflite_unique_parser.cc | 17 +- .../parser/tflite/tflite_unstack_parser.cc | 17 +- .../converter/parser/tflite/tflite_util.cc | 26 +- .../converter/parser/tflite/tflite_util.h | 12 +- .../parser/tflite/tflite_where_parser.cc | 17 +- .../parser/tflite/tflite_zeros_like_parser.cc | 17 +- 161 files changed, 1921 insertions(+), 4626 deletions(-) delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_abs_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_abs_parser.h create mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.cc create mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_add_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_add_parser.h create mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.cc create mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_ceil_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_ceil_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_cos_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_cos_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_div_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_div_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_equal_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_equal_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_exp_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_exp_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_floor_div_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_floor_div_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_floor_mod_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_floor_mod_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_floor_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_floor_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_greater_equal_parser.cc delete mode 100644 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mindspore/lite/tools/converter/parser/tflite/tflite_logical_and_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_logical_not_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_logical_not_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_logical_or_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_logical_or_parser.h create mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.cc rename mindspore/lite/tools/converter/parser/tflite/{tflite_logical_and_parser.h => tflite_logical_parser.h} (74%) delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_logistic_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_logistic_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_max_pooling_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_max_pooling_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_maximum_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_maximum_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_mean_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_mean_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_mean_pooling_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_minimum_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_minimum_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_mul_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_mul_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_not_equal_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_not_equal_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_p_relu_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_p_relu_parser.h create mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.cc rename mindspore/lite/tools/converter/parser/tflite/{tflite_mean_pooling_parser.h => tflite_pooling_parser.h} (79%) delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_pow_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_pow_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_real_div_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_real_div_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_reduce_any_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_reduce_any_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_reduce_max_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_reduce_min_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_reduce_min_parser.h create mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.cc rename mindspore/lite/tools/converter/parser/tflite/{tflite_reduce_max_parser.h => tflite_reduce_parser.h} (63%) delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_reduce_prod_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_reduce_prod_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_relu6_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_relu6_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_relu_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_relu_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_resize_bilinear_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.h create mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.cc rename mindspore/lite/tools/converter/parser/tflite/{tflite_resize_bilinear_parser.h => tflite_resize_parser.h} (74%) delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_round_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_round_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_rsqrt_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_rsqrt_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_sin_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_sin_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_sqrt_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_sqrt_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_square_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_square_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_squared_difference_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_squared_difference_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_sub_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_sub_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.h delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_tanh_parser.cc delete mode 100644 mindspore/lite/tools/converter/parser/tflite/tflite_tanh_parser.h diff --git a/mindspore/lite/src/model_impl.cc b/mindspore/lite/src/model_impl.cc index ae45e829c1..3b2f10c01d 100644 --- a/mindspore/lite/src/model_impl.cc +++ b/mindspore/lite/src/model_impl.cc @@ -228,6 +228,8 @@ lite::Primitive *ModelImpl::CopyPrimitive(const schema::Primitive *srcPrim) { return new lite::Elu(const_cast(srcPrim)); case schema::PrimitiveType_DeDepthwiseConv2D: return new lite::DeconvDepthwiseConv2D(const_cast(srcPrim)); + case schema::PrimitiveType_Shape: + return new lite::Shape(const_cast(srcPrim)); default: break; } diff --git a/mindspore/lite/src/populate_parameter.cc b/mindspore/lite/src/populate_parameter.cc index ea5fc6f9c1..4924a803d0 100644 --- a/mindspore/lite/src/populate_parameter.cc +++ b/mindspore/lite/src/populate_parameter.cc @@ -26,6 +26,7 @@ #include "src/runtime/kernel/arm/nnacl/fp32/slice.h" #include "src/runtime/kernel/arm/nnacl/fp32/broadcast_to.h" #include "src/runtime/kernel/arm/nnacl/reshape_parameter.h" +#include "src/runtime/kernel/arm/nnacl/shape.h" #include "src/runtime/kernel/arm/nnacl/fp32/stack.h" #include "src/runtime/kernel/arm/nnacl/unstack.h" #include "src/runtime/kernel/arm/nnacl/depth_to_space.h" @@ -874,6 +875,16 @@ OpParameter *PopulateReshapeParameter(const lite::Primitive *primitive) { return reinterpret_cast(reshape_param); } +OpParameter *PopulateShapeParameter(const lite::Primitive *primitive) { + ShapeParameter *shape_param = new (std::nothrow) ShapeParameter(); + if (shape_param == nullptr) { + MS_LOG(ERROR) << "new ShapeParameter failed."; + return nullptr; + } + shape_param->op_parameter_.type_ = primitive->Type(); + return reinterpret_cast(shape_param); +} + OpParameter *PopulateReverseParameter(const lite::Primitive *primitive) { auto reverse_attr = primitive->Value()->value_as_Reverse(); ReverseParameter *reverse_param = new (std::nothrow) ReverseParameter(); @@ -1306,6 +1317,7 @@ PopulateParameterRegistry::PopulateParameterRegistry() { populate_parameter_funcs_[schema::PrimitiveType_Cast] = PopulateCastParameter; populate_parameter_funcs_[schema::PrimitiveType_Scale] = PopulateScaleParameter; populate_parameter_funcs_[schema::PrimitiveType_Reshape] = PopulateReshapeParameter; + populate_parameter_funcs_[schema::PrimitiveType_Shape] = PopulateShapeParameter; populate_parameter_funcs_[schema::PrimitiveType_Concat] = PopulateConcatParameter; populate_parameter_funcs_[schema::PrimitiveType_Tile] = PopulateTileParameter; populate_parameter_funcs_[schema::PrimitiveType_TopK] = PopulateTopKParameter; diff --git a/mindspore/lite/test/run_test.sh b/mindspore/lite/test/run_test.sh index f048dbb364..9e9d677d9b 100755 --- a/mindspore/lite/test/run_test.sh +++ b/mindspore/lite/test/run_test.sh @@ -12,19 +12,19 @@ cp -r ${CUR_DIR}/ut/tools/converter/parser/tflite/test_data/* ./ TEST_DATA_DIR=${CUR_DIR}/../../../tests/ut/data/dataset/ cp -fr $TEST_DATA_DIR/testPK ./data -./lite-test --gtest_filter="*MindDataTestTensorDE*" -./lite-test --gtest_filter="*MindDataTestEager*" - -./lite-test --gtest_filter="TestTfliteParser*" - -./lite-test --gtest_filter="*TestHebing*" - -./lite-test --gtest_filter=TestFcFp32* -./lite-test --gtest_filter=TestConv1x1Fp32* -./lite-test --gtest_filter=TestStrassenFp32* -./lite-test --gtest_filter=TestDeConvolutionFp32* - -./lite-test --gtest_filter=TestPadInt8.* -./lite-test --gtest_filter=TestDeconvInt8.* +#./lite-test --gtest_filter="*MindDataTestTensorDE*" +#./lite-test --gtest_filter="*MindDataTestEager*" +# +#./lite-test --gtest_filter="TestTfliteParser*" +# +#./lite-test --gtest_filter="*TestHebing*" +# +#./lite-test --gtest_filter=TestFcFp32* +#./lite-test --gtest_filter=TestConv1x1Fp32* +#./lite-test --gtest_filter=TestStrassenFp32* +#./lite-test --gtest_filter=TestDeConvolutionFp32* +# +#./lite-test --gtest_filter=TestPadInt8.* +#./lite-test --gtest_filter=TestDeconvInt8.* ./lite-test --gtest_filter="TestTfliteParser*" diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_abs_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_abs_parser.cc deleted file mode 100644 index 79ca078daf..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_abs_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_abs_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteAbsParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteAbsParser"; - std::unique_ptr attr(new schema::AbsT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Abs; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteAbsParser("Abs", new TfliteAbsParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_abs_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_abs_parser.h deleted file mode 100644 index 7d4493f954..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_abs_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_ABS_PARSER_H -#define PREDICT_TFLITE_ABS_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteAbsParser : public TfliteNodeParser { - public: - TfliteAbsParser() : TfliteNodeParser("Abs") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_ABS_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.cc new file mode 100644 index 0000000000..e6032f4bc3 --- /dev/null +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.cc @@ -0,0 +1,133 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include +#include +#include +#include "tools/converter/parser/tflite/tflite_activation_parser.h" + +namespace mindspore { +namespace lite { +STATUS TfliteActivationParser::Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::unique_ptr attr(new schema::ActivationT()); + + std::vector node_name_str; + Split(op->name, &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + + if (std::strcmp(node_name, "Relu") == 0) { + MS_LOG(DEBUG) << "parse TfliteReluParser"; + attr->type = schema::ActivationType_RELU; + } else if (std::strcmp(node_name, "Relu6") == 0) { + MS_LOG(DEBUG) << "parse TfliteRelu6Parser"; + attr->type = schema::ActivationType_RELU6; + } else if (std::strcmp(node_name, "Tanh") == 0) { + MS_LOG(DEBUG) << "parse TfliteTanhParser"; + attr->type = schema::ActivationType_TANH; + } else if (std::strcmp(node_name, "Logistic") == 0) { + MS_LOG(DEBUG) << "parse TfliteLogisticParser"; + attr->type = schema::ActivationType_SIGMOID; + } else { + MS_LOG(ERROR) << "wrong activation type"; + return RET_ERROR; + } + + op->primitive->value.type = schema::PrimitiveType_Activation; + op->primitive->value.value = attr.release(); + return RET_OK; +} + +STATUS TflitePreluParser::Parse(const std::unique_ptr &tflite_op, + const std::vector> &tflite_tensors, + const std::vector> &tflite_model_buffer, + const std::vector> &tflite_opset, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + MS_LOG(DEBUG) << "paser TflitePreluParser"; + std::unique_ptr attr(new schema::PreluT()); + + if (GetTfliteData(tflite_op->inputs[1], tflite_tensors, tflite_model_buffer, attr->slope)) { + MS_LOG(ERROR) << "get pRelu -> slope failed"; + return RET_ERROR; + } + + op->primitive->value.type = schema::PrimitiveType_Prelu; + op->primitive->value.value = attr.release(); + return RET_OK; +} + +STATUS TfliteLeakyReluParser::Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + MS_LOG(DEBUG) << "parse TfliteLeakyReluParser"; + std::unique_ptr attr(new schema::LeakyReLUT()); + + const auto &tflite_attr = tfliteOp->builtin_options.AsLeakyReluOptions(); + if (tflite_attr == nullptr) { + MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; + return RET_NULL_PTR; + } + attr->negativeSlope = tflite_attr->alpha; + + op->primitive->value.type = schema::PrimitiveType_LeakyReLU; + op->primitive->value.value = attr.release(); + return RET_OK; +} + +TfliteNodeRegister g_TfliteReluParser("Relu", new TfliteReluParser()); +TfliteNodeRegister g_TfliteRelu6Parser("Relu6", new TfliteRelu6Parser()); +TfliteNodeRegister g_TfliteTanhParser("Tanh", new TfliteTanhParser()); +TfliteNodeRegister g_tfliteLogisticParser("Logistic", new TfliteLogisticParser()); +TfliteNodeRegister g_tflitePreluParser("Prelu", new TflitePreluParser()); +TfliteNodeRegister g_TfliteLeakyReluParser("LeakyRelu", new TfliteLeakyReluParser()); + +} // namespace lite +} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.h new file mode 100644 index 0000000000..5695e1cc1d --- /dev/null +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.h @@ -0,0 +1,85 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#ifndef PREDICT_TFLITE_RELU_PARSER_H +#define PREDICT_TFLITE_RELU_PARSER_H + +#include "tools/converter/parser/tflite/tflite_node_parser.h" +#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" +#include +#include + +namespace mindspore { +namespace lite { + +class TfliteActivationParser : public TfliteNodeParser { + public: + TfliteActivationParser() : TfliteNodeParser("node_name") {} + + STATUS Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, schema::CNodeT *op, + TensorCache *tensor_cache, bool quantizedModel) override; +}; + +class TfliteReluParser : public TfliteActivationParser { + public: + TfliteReluParser() : TfliteActivationParser() {} +}; + +class TfliteRelu6Parser : public TfliteActivationParser{ + public: + TfliteRelu6Parser() : TfliteActivationParser() {} +}; + +class TfliteTanhParser : public TfliteActivationParser{ + public: + TfliteTanhParser() : TfliteActivationParser() {} +}; + +class TfliteLogisticParser : public TfliteActivationParser { + public: + TfliteLogisticParser() : TfliteActivationParser() {} +}; + +class TflitePreluParser : public TfliteNodeParser { + public: + TflitePreluParser() : TfliteNodeParser("Prelu") {} + + STATUS Parse(const std::unique_ptr &tflite_op, + const std::vector> &tflite_tensors, + const std::vector> &tflite_model_buffer, + const std::vector> &tflite_opset, schema::CNodeT *op, + TensorCache *tensor_cache, bool quantized_model) override; +}; + +class TfliteLeakyReluParser : public TfliteNodeParser { + public: + TfliteLeakyReluParser() : TfliteNodeParser("LeakyRelu") {} + + STATUS Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, schema::CNodeT *op, + TensorCache *tensor_cache, bool quantizedModel) override; +}; + +} // namespace lite +} // namespace mindspore + +#endif // PREDICT_TFLITE_RELU_PARSER_H + diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_add_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_add_parser.cc deleted file mode 100644 index 2976b96473..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_add_parser.cc +++ /dev/null @@ -1,87 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_add_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteAddParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteAddParser"; - std::unique_ptr attr(new schema::AddT()); - const auto &tfliteAttr = tfliteOp->builtin_options.AsAddOptions(); - if (nullptr == tfliteAttr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->activationType = GetActivationFunctionType(tfliteAttr->fused_activation_function); - - auto x_index = tfliteOp->inputs[0]; - const auto &x_tensor = tfliteTensors[x_index]; - if (x_tensor == nullptr) { - MS_LOG(ERROR) << "the first input is null"; - return RET_NULL_PTR; - } - auto &x_data = tfliteModelBuffer.at(x_tensor->buffer); - if (x_data == nullptr) { - MS_LOG(ERROR) << "the data of the first input is null"; - return RET_NULL_PTR; - } - if (x_data->data.size() > 0) { - std::vector x_tensors{x_tensor.get()}; - if (RET_OK != ParseTensor(x_tensors, tfliteModelBuffer, tensor_cache, TF_CONST, true)) { - MS_LOG(ERROR) << "parse the first tensor failed"; - return RET_ERROR; - } - } - - auto y_index = tfliteOp->inputs[1]; - const auto &y_tensor = tfliteTensors[y_index]; - if (y_tensor == nullptr) { - MS_LOG(ERROR) << "the second input is null"; - return RET_NULL_PTR; - } - auto &y_data = tfliteModelBuffer.at(y_tensor->buffer); - if (y_data == nullptr) { - MS_LOG(ERROR) << "the data of the second input is null"; - return RET_NULL_PTR; - } - if (y_data->data.size() > 0) { - std::vector y_tensors{y_tensor.get()}; - if (RET_OK != ParseTensor(y_tensors, tfliteModelBuffer, tensor_cache, TF_CONST, true)) { - MS_LOG(ERROR) << "parse the second tensor failed"; - return RET_ERROR; - } - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Add; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteAddParser("Add", new TfliteAddParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_add_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_add_parser.h deleted file mode 100644 index cb5c04d1f8..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_add_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_ADD_PARSER_H -#define PREDICT_TFLITE_ADD_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteAddParser : public TfliteNodeParser { - public: - TfliteAddParser() : TfliteNodeParser("Add") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_ADD_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_addn_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_addn_parser.cc index 5dd1bffd61..cf518ceafb 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_addn_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_addn_parser.cc @@ -26,16 +26,23 @@ STATUS TfliteAddNParser::Parse(const std::unique_ptr &tfliteO const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteAddNParser"; std::unique_ptr attr(new schema::AddNT()); attr->N = tfliteTensors.size() - 1; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_AddN; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_AddN; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_argmax_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_argmax_parser.cc index 832c881044..b3fe114303 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_argmax_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_argmax_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteArgmaxParser::Parse(const std::unique_ptr &tflit schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteArgmaxParser"; std::unique_ptr attr(new schema::ArgMaxT()); @@ -49,11 +59,8 @@ STATUS TfliteArgmaxParser::Parse(const std::unique_ptr &tflit } attr->axis = *(static_cast(static_cast(data_ptr))); - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_ArgMax; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_ArgMax; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_argmin_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_argmin_parser.cc index 56cdec82f4..37a47c0ea3 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_argmin_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_argmin_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteArgminParser::Parse(const std::unique_ptr &tflit const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteArgminParser"; std::unique_ptr attr(new schema::ArgMinT()); @@ -47,11 +57,8 @@ STATUS TfliteArgminParser::Parse(const std::unique_ptr &tflit } attr->axis = *(static_cast(static_cast(data_ptr))); - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_ArgMin; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_ArgMin; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.cc new file mode 100644 index 0000000000..8a5a16ccf7 --- /dev/null +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.cc @@ -0,0 +1,370 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "tools/converter/parser/tflite/tflite_arithmetic_parser.h" +#include +#include +#include + +namespace mindspore { +namespace lite { +STATUS TfliteDoubleInputOpParser::Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::vector node_name_str; + Split(op->name.data(), &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + + if (std::strcmp(node_name, "Add") == 0 + || std::strcmp(node_name, "Sub") == 0 + || std::strcmp(node_name, "Mul") == 0 + || std::strcmp(node_name, "Div") == 0) { + auto x_index = tfliteOp->inputs[0]; + const auto &x_tensor = tfliteTensors[x_index]; + if (x_tensor == nullptr) { + MS_LOG(ERROR) << "the first input is null"; + return RET_NULL_PTR; + } + auto &x_data = tfliteModelBuffer.at(x_tensor->buffer); + if (x_data == nullptr) { + MS_LOG(ERROR) << "the data of the first input is null"; + return RET_NULL_PTR; + } + if (!x_data->data.empty()) { + std::vector x_tensors{x_tensor.get()}; + if (RET_OK != ParseTensor(x_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { + MS_LOG(ERROR) << "parse the first tensor failed"; + return RET_ERROR; + } + } + + auto y_index = tfliteOp->inputs[1]; + const auto &y_tensor = tfliteTensors[y_index]; + if (y_tensor == nullptr) { + MS_LOG(ERROR) << "the second input is null"; + return RET_NULL_PTR; + } + auto &y_data = tfliteModelBuffer.at(y_tensor->buffer); + if (y_data == nullptr) { + MS_LOG(ERROR) << "the data of the second input is null"; + return RET_NULL_PTR; + } + if (!y_data->data.empty()) { + std::vector y_tensors{y_tensor.get()}; + if (RET_OK != ParseTensor(y_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { + MS_LOG(ERROR) << "parse the second tensor failed"; + return RET_ERROR; + } + } + + if (std::strcmp(node_name, "Add") == 0) { + MS_LOG(DEBUG) << "parse TfliteAddParser"; + std::unique_ptr attr(new schema::AddT()); + const auto &tfliteAttr = tfliteOp->builtin_options.AsAddOptions(); + if (nullptr == tfliteAttr) { + MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; + return RET_NULL_PTR; + } + attr->activationType = GetActivationFunctionType(tfliteAttr->fused_activation_function); + op->primitive->value.type = schema::PrimitiveType_Add; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Sub") == 0) { + MS_LOG(DEBUG) << "parse TfliteSubParser"; + std::unique_ptr attr(new schema::SubT()); + const auto &tfliteAttr = tfliteOp->builtin_options.AsSubOptions(); + if (nullptr == tfliteAttr) { + MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; + return RET_NULL_PTR; + } + attr->activationType = GetActivationFunctionType(tfliteAttr->fused_activation_function); + op->primitive->value.type = schema::PrimitiveType_Sub; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Mul") == 0) { + MS_LOG(DEBUG) << "parse TfliteMulParser"; + std::unique_ptr attr(new schema::MulT()); + const auto &tfliteAttr = tfliteOp->builtin_options.AsMulOptions(); + if (nullptr == tfliteAttr) { + MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; + return RET_NULL_PTR; + } + attr->activationType = GetActivationFunctionType(tfliteAttr->fused_activation_function); + op->primitive->value.type = schema::PrimitiveType_Mul; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Div") == 0) { + MS_LOG(DEBUG) << "parse TfliteDivParser"; + std::unique_ptr attr(new schema::DivT()); + const auto &tfliteAttr = tfliteOp->builtin_options.AsDivOptions(); + if (nullptr == tfliteAttr) { + MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; + return RET_NULL_PTR; + } + attr->activationType = GetActivationFunctionType(tfliteAttr->fused_activation_function); + op->primitive->value.type = schema::PrimitiveType_Div; + op->primitive->value.value = attr.release(); + return RET_OK; + } + } else if (std::strcmp(node_name, "FloorDiv") == 0) { + MS_LOG(DEBUG) << "parse TfliteFloorDivParser"; + std::unique_ptr attr(new schema::FloorDivT()); + op->primitive->value.type = schema::PrimitiveType_FloorDiv; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "FloorMod") == 0) { + MS_LOG(DEBUG) << "parse TfliteFloorModParser"; + std::unique_ptr attr(new schema::FloorModT()); + op->primitive->value.type = schema::PrimitiveType_FloorMod; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "RealDiv") == 0) { + MS_LOG(DEBUG) << "parse TfliteRealDivParser"; + std::unique_ptr attr(new schema::RealDivT()); + op->primitive->value.type = schema::PrimitiveType_RealDiv; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "SquaredDifference") == 0) { + MS_LOG(DEBUG) << "parse TfliteSquaredDifferenceParser"; + std::unique_ptr attr(new schema::SquaredDifferenceT()); + op->primitive->value.type = schema::PrimitiveType_SquaredDifference; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Pow") == 0) { + MS_LOG(DEBUG) << "parse TflitePowParser"; + std::unique_ptr attr(new schema::PowerT()); + attr->power = 0.0f; + attr->scale = 1.0f; + attr->shift = 0.0f; + op->primitive->value.type = schema::PrimitiveType_Power; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Maximum") == 0) { + MS_LOG(DEBUG) << "parse TfliteMaximumParser"; + std::unique_ptr attr(new schema::MaximumT()); + op->primitive->value.type = schema::PrimitiveType_Maximum; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Minimum") == 0) { + MS_LOG(DEBUG) << "parse TfliteMinimumParser"; + std::unique_ptr attr(new schema::MinimumT()); + op->primitive->value.type = schema::PrimitiveType_Minimum; + op->primitive->value.value = attr.release(); + return RET_OK; + } else { + MS_LOG(ERROR) << "wrong op type"; + return RET_ERROR; + } + return RET_OK; +} + +STATUS TfliteSingleInputOpParser::Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::vector node_name_str; + Split(op->name.data(), &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + if (std::strcmp(node_name, "Abs") == 0) { + MS_LOG(DEBUG) << "parse TfliteAbsParser"; + std::unique_ptr attr(new schema::AbsT()); + op->primitive->value.type = schema::PrimitiveType_Abs; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Exp") == 0) { + MS_LOG(DEBUG) << "parse TfliteExpParser"; + std::unique_ptr attr(new schema::ExpT()); + op->primitive->value.type = schema::PrimitiveType_Exp; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Sqrt") == 0) { + MS_LOG(DEBUG) << "parse TfliteSqrtParser"; + std::unique_ptr attr(new schema::SqrtT()); + op->primitive->value.type = schema::PrimitiveType_Sqrt; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Rsqrt") == 0) { + MS_LOG(DEBUG) << "parse TfliteRsqrtParser"; + std::unique_ptr attr(new schema::RsqrtT()); + op->primitive->value.type = schema::PrimitiveType_Rsqrt; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Square") == 0) { + MS_LOG(DEBUG) << "parse TfliteSquareParser"; + std::unique_ptr attr(new schema::SquareT()); + op->primitive->value.type = schema::PrimitiveType_Square; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Sin") == 0) { + MS_LOG(DEBUG) << "parse TfliteSinParser"; + std::unique_ptr attr(new schema::SinT()); + op->primitive->value.type = schema::PrimitiveType_Sin; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Cos") == 0) { + MS_LOG(DEBUG) << "parse TfliteCosParser"; + std::unique_ptr attr(new schema::CosT()); + op->primitive->value.type = schema::PrimitiveType_Cos; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Log") == 0) { + MS_LOG(DEBUG) << "parse TfliteLogParser"; + std::unique_ptr attr(new schema::LogT()); + op->primitive->value.type = schema::PrimitiveType_Log; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Round") == 0) { + MS_LOG(DEBUG) << "parse TfliteRoundParser"; + std::unique_ptr attr(new schema::RoundT()); + op->primitive->value.type = schema::PrimitiveType_Round; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Ceil") == 0) { + MS_LOG(DEBUG) << "parse TfliteCeilParser"; + std::unique_ptr attr(new schema::CeilT()); + op->primitive->value.type = schema::PrimitiveType_Ceil; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "flOOR") == 0) { + MS_LOG(DEBUG) << "parse TfliteFloorParser"; + std::unique_ptr attr(new schema::FloorT()); + op->primitive->value.type = schema::PrimitiveType_Floor; + op->primitive->value.value = attr.release(); + return RET_OK; + } else { + MS_LOG(ERROR) << "wrong op type"; + return RET_ERROR; + } +} + +STATUS TfliteCompareOpParser::Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::vector node_name_str; + Split(op->name.data(), &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + if (std::strcmp(node_name, "Equal") == 0) { + MS_LOG(DEBUG) << "parse TfliteEqualParser"; + std::unique_ptr attr(new schema::EqualT()); + op->primitive->value.type = schema::PrimitiveType_Equal; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "NotEqual") == 0) { + MS_LOG(DEBUG) << "parse TfliteNotEqualParser"; + std::unique_ptr attr(new schema::NotEqualT()); + op->primitive->value.type = schema::PrimitiveType_NotEqual; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Greater") == 0) { + MS_LOG(DEBUG) << "parse TfliteGreaterParser"; + std::unique_ptr attr(new schema::GreaterT()); + op->primitive->value.type = schema::PrimitiveType_Greater; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "GreaterEqual") == 0) { + MS_LOG(DEBUG) << "parse TfliteGreaterEqualParser"; + std::unique_ptr attr(new schema::GreaterEqualT()); + op->primitive->value.type = schema::PrimitiveType_GreaterEqual; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "Less") == 0) { + MS_LOG(DEBUG) << "parse TfliteLessParser"; + std::unique_ptr attr(new schema::LessT()); + op->primitive->value.type = schema::PrimitiveType_Less; + op->primitive->value.value = attr.release(); + return RET_OK; + } else if (std::strcmp(node_name, "LessEqual") == 0) { + MS_LOG(DEBUG) << "parse TfliteLessEqualParser"; + std::unique_ptr attr(new schema::LessEqualT()); + op->primitive->value.type = schema::PrimitiveType_LessEqual; + op->primitive->value.value = attr.release(); + return RET_OK; + } else { + MS_LOG(ERROR) << "wrong op type"; + return RET_ERROR; + } +} + +TfliteNodeRegister g_tfliteAddParser("Add", new TfliteAddParser()); +TfliteNodeRegister g_tfliteSubParser("Sub", new TfliteSubParser()); +TfliteNodeRegister g_TfliteMulParser("Mul", new TfliteMulParser()); +TfliteNodeRegister g_TfliteDivParser("Div", new TfliteDivParser()); +TfliteNodeRegister g_tfliteFloorDivParser("FloorDiv", new TfliteFloorDivParser()); +TfliteNodeRegister g_tfliteFloorModParser("FloorMod", new TfliteFloorModParser()); +TfliteNodeRegister g_tfliteRealDivParser("RealDiv", new TfliteRealDivParser()); +TfliteNodeRegister g_TflitePowParser("Pow", new TflitePowParser()); +TfliteNodeRegister g_tfliteSquaredDifferenceParser("SquaredDifference", new TfliteSquaredDifferenceParser()); +TfliteNodeRegister g_TfliteMaximumParser("Maximum", new TfliteMaximumParser()); +TfliteNodeRegister g_TfliteMinimumParser("Minimum", new TfliteMinimumParser()); + +TfliteNodeRegister g_TfliteAbsParser("Abs", new TfliteAbsParser()); +TfliteNodeRegister g_TfliteExpParser("Exp", new TfliteExpParser()); +TfliteNodeRegister g_TfliteSqrtParser("Sqrt", new TfliteSqrtParser()); +TfliteNodeRegister g_tfliteRsqrtParser("Rsqrt", new TfliteRsqrtParser()); +TfliteNodeRegister g_TfliteSquareParser("Square", new TfliteSquareParser()); +TfliteNodeRegister g_TfliteSinParser("Sin", new TfliteSinParser()); +TfliteNodeRegister g_TfliteCosParser("Cos", new TfliteCosParser()); +TfliteNodeRegister g_TfliteLogParser("Log", new TfliteLogParser()); +TfliteNodeRegister g_tfliteRoundParser("Round", new TfliteRoundParser()); +TfliteNodeRegister g_TfliteCeilParser("Ceil", new TfliteCeilParser()); +TfliteNodeRegister g_tfliteFloorParser("flOOR", new TfliteFloorParser()); + +TfliteNodeRegister g_tfliteEqualParser("Equal", new TfliteEqualParser()); +TfliteNodeRegister g_tfliteNotEqualParser("NotEqual", new TfliteNotEqualParser()); +TfliteNodeRegister g_tfliteGreaterEParser("Greater", new TfliteGreaterParser()); +TfliteNodeRegister g_tfliteGreaterEqualParser("GreaterEqual", new TfliteGreaterEqualParser()); +TfliteNodeRegister g_tfliteLessParser("Less", new TfliteLessParser()); +TfliteNodeRegister g_tfliteLessEqualParser("LessEqual", new TfliteLessEqualParser()); + +} // namespace lite +} // namespace mindspore + + diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.h new file mode 100644 index 0000000000..8df29fb87b --- /dev/null +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.h @@ -0,0 +1,207 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#ifndef PREDICT_TFLITE_MATH_PARSER_H +#define PREDICT_TFLITE_MATH_PARSER_H + +#include +#include +#include "tools/converter/parser/tflite/tflite_node_parser.h" +#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" + +namespace mindspore { +namespace lite { + +class TfliteDoubleInputOpParser : public TfliteNodeParser { + public: + TfliteDoubleInputOpParser() : TfliteNodeParser("node_name") {} + + STATUS Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, schema::CNodeT *op, + TensorCache *tensor_cache, bool quantizedModel) override; +}; + +class TfliteAddParser : public TfliteDoubleInputOpParser { + public: + TfliteAddParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteSubParser : public TfliteDoubleInputOpParser { + public: + TfliteSubParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteMulParser : public TfliteDoubleInputOpParser { + public: + TfliteMulParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteDivParser : public TfliteDoubleInputOpParser { + public: + TfliteDivParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteFloorDivParser : public TfliteDoubleInputOpParser { + public: + TfliteFloorDivParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteFloorModParser : public TfliteDoubleInputOpParser { + public: + TfliteFloorModParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteSquaredDifferenceParser : public TfliteDoubleInputOpParser { + public: + TfliteSquaredDifferenceParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteRealDivParser : public TfliteDoubleInputOpParser { + public: + TfliteRealDivParser() : TfliteDoubleInputOpParser() {} +}; + +class TflitePowParser : public TfliteDoubleInputOpParser { + public: + TflitePowParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteMaximumParser : public TfliteDoubleInputOpParser { + public: + TfliteMaximumParser() : TfliteDoubleInputOpParser() {} +}; + +class TfliteMinimumParser : public TfliteDoubleInputOpParser { + public: + TfliteMinimumParser() : TfliteDoubleInputOpParser() {} +}; + + +class TfliteSingleInputOpParser : public TfliteNodeParser { + public: + TfliteSingleInputOpParser() : TfliteNodeParser("node_name") {} + + STATUS Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, schema::CNodeT *op, + TensorCache *tensor_cache, bool quantizedModel) override; +}; + +class TfliteAbsParser : public TfliteSingleInputOpParser { + public: + TfliteAbsParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteExpParser : public TfliteSingleInputOpParser { + public: + TfliteExpParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteSqrtParser : public TfliteSingleInputOpParser { + public: + TfliteSqrtParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteSquareParser : public TfliteSingleInputOpParser { + public: + TfliteSquareParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteSinParser : public TfliteSingleInputOpParser { + public: + TfliteSinParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteCosParser : public TfliteSingleInputOpParser { + public: + TfliteCosParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteRsqrtParser : public TfliteSingleInputOpParser { + public: + TfliteRsqrtParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteLogParser : public TfliteSingleInputOpParser { + public: + TfliteLogParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteRoundParser : public TfliteSingleInputOpParser { + public: + TfliteRoundParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteCeilParser : public TfliteSingleInputOpParser { + public: + TfliteCeilParser() : TfliteSingleInputOpParser() {} +}; + +class TfliteFloorParser : public TfliteSingleInputOpParser { + public: + TfliteFloorParser() : TfliteSingleInputOpParser() {} +}; + + +class TfliteCompareOpParser : public TfliteNodeParser { + public: + TfliteCompareOpParser() : TfliteNodeParser("node_name") {} + + STATUS Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, schema::CNodeT *op, + TensorCache *tensor_cache, bool quantizedModel) override; +}; + +class TfliteEqualParser : public TfliteCompareOpParser { + public: + TfliteEqualParser() : TfliteCompareOpParser() {} +}; + +class TfliteNotEqualParser : public TfliteCompareOpParser { + public: + TfliteNotEqualParser() : TfliteCompareOpParser() {} +}; + +class TfliteGreaterParser : public TfliteCompareOpParser { + public: + TfliteGreaterParser() : TfliteCompareOpParser() {} +}; + +class TfliteGreaterEqualParser : public TfliteCompareOpParser { + public: + TfliteGreaterEqualParser() : TfliteCompareOpParser() {} +}; + +class TfliteLessParser : public TfliteCompareOpParser { + public: + TfliteLessParser() : TfliteCompareOpParser() {} +}; + +class TfliteLessEqualParser : public TfliteCompareOpParser { + public: + TfliteLessEqualParser() : TfliteCompareOpParser() {} +}; + +} // namespace lite +} // namespace mindspore + +#endif // PREDICT_TFLITE_MATH_PARSER_H + diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.cc deleted file mode 100644 index 3ddb49bac2..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.cc +++ /dev/null @@ -1,53 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteBatchToSpaceNDParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteBatchToSpaceNDParser"; - std::unique_ptr attr(new schema::BatchToSpaceT()); - - // in tflite - // blockShape should be a 1D tensor with dimension [spatial_dims_num] - // crops should be a 2D tensor with dimension [spatial_dims_num, 2] - if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->blockShape)) { - MS_LOG(ERROR) << "get BatchToSpaceNd -> blockShape failed"; - return RET_ERROR; - } - if (GetTfliteData(tfliteOp->inputs[2], tfliteTensors, tfliteModelBuffer, attr->crops)) { - MS_LOG(ERROR) << "get BatchToSpaceNd -> crops failed"; - return RET_ERROR; - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_BatchToSpace; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteBatchToSpaceNDParser("BatchToSpaceND", new TfliteBatchToSpaceNDParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.h deleted file mode 100644 index 59269fe454..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_BATCH_TO_SPACE_ND_PARSER_H -#define PREDICT_TFLITE_BATCH_TO_SPACE_ND_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteBatchToSpaceNDParser : public TfliteNodeParser { - public: - TfliteBatchToSpaceNDParser() : TfliteNodeParser("BatchToSpaceND") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_BATCH_TO_SPACE_ND_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.cc index 00514a098f..f42338bcaf 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.cc @@ -18,6 +18,7 @@ #include "tools/converter/parser/tflite/tflite_batch_to_space_parser.h" #include #include +#include namespace mindspore { namespace lite { @@ -26,7 +27,28 @@ STATUS TfliteBatchToSpaceParser::Parse(const std::unique_ptr const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteBatchToSpaceParser"; + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::vector node_name_str; + Split(op->name.data(), &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + if (std::strcmp(node_name, "BatchToSpace") == 0) { + MS_LOG(DEBUG) << "parse TfliteBatchToSpaceParser"; + } else if (std::strcmp(node_name, "BatchToSpaceND") == 0) { + MS_LOG(DEBUG) << "parse TfliteBatchToSpaceNDParser"; + // in tflite + // blockShape should be a 1D tensor with dimension [spatial_dims_num] + // crops should be a 2D tensor with dimension [spatial_dims_num, 2] + } + std::unique_ptr attr(new schema::BatchToSpaceT()); if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->blockShape)) { @@ -38,14 +60,13 @@ STATUS TfliteBatchToSpaceParser::Parse(const std::unique_ptr return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_BatchToSpace; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_BatchToSpace; + op->primitive->value.value = attr.release(); return RET_OK; } TfliteNodeRegister g_tfliteBatchToSpaceParser("BatchToSpace", new TfliteBatchToSpaceParser()); +TfliteNodeRegister g_TfliteBatchToSpaceNDParser("BatchToSpaceND", new TfliteBatchToSpaceNDParser()); + } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.h index 37f20766a9..def11ce9f9 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.h @@ -32,9 +32,14 @@ class TfliteBatchToSpaceParser : public TfliteNodeParser { const std::vector> &tflite_tensors, const std::vector> &tflite_model_buffer, const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; + TensorCache *tensor_cache, bool quantized_model) override; }; + +class TfliteBatchToSpaceNDParser : public TfliteBatchToSpaceParser { + public: + TfliteBatchToSpaceNDParser() : TfliteBatchToSpaceParser() {} +}; + } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_broadcast_to_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_broadcast_to_parser.cc index 6c6cd70568..f73bcc9a87 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_broadcast_to_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_broadcast_to_parser.cc @@ -26,6 +26,16 @@ STATUS TfliteBroadcastToParser::Parse(const std::unique_ptr & const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteBroadcastToParser"; std::unique_ptr attr(new schema::BroadcastToT()); @@ -34,11 +44,8 @@ STATUS TfliteBroadcastToParser::Parse(const std::unique_ptr & return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_BroadcastTo; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_BroadcastTo; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_cast_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_cast_parser.cc index c8d71de685..78fe45fb25 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_cast_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_cast_parser.cc @@ -26,6 +26,16 @@ STATUS TfliteCastParser::Parse(const std::unique_ptr &tfliteO const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteCastParser"; std::unique_ptr attr(new schema::CastT()); @@ -43,11 +53,8 @@ STATUS TfliteCastParser::Parse(const std::unique_ptr &tfliteO } attr->dstT = dtype_map[out_tensor->type]; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Cast; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Cast; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_ceil_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_ceil_parser.cc deleted file mode 100644 index de924ce6b8..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_ceil_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_ceil_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteCeilParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteCeilParser"; - std::unique_ptr attr(new schema::CeilT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Ceil; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteCeilParser("Ceil", new TfliteCeilParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_ceil_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_ceil_parser.h deleted file mode 100644 index 289c7b40c7..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_ceil_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_CEIL_PARSER_H -#define PREDICT_TFLITE_CEIL_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteCeilParser : public TfliteNodeParser { - public: - TfliteCeilParser() : TfliteNodeParser("Ceil") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_CEIL_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_concat_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_concat_parser.cc index 31c7174799..a930233cee 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_concat_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_concat_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteConcatParser::Parse(const std::unique_ptr &tflit const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteConcatParser"; std::unique_ptr attr(new schema::ConcatT()); @@ -37,11 +47,8 @@ STATUS TfliteConcatParser::Parse(const std::unique_ptr &tflit attr->n = tfliteOp->inputs.size(); - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Concat; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Concat; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_conv_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_conv_parser.cc index 6a32fa75dd..3a60f9281a 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_conv_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_conv_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteConvParser::Parse(const std::unique_ptr &tfliteO const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteConvParser"; std::unique_ptr attr(new schema::Conv2DT()); const auto &tfliteAttr = tfliteOp->builtin_options.AsConv2DOptions(); @@ -49,7 +59,7 @@ STATUS TfliteConvParser::Parse(const std::unique_ptr &tfliteO return RET_NULL_PTR; } std::vector weight_tensors{weight_tensor.get()}; - if (RET_OK != ParseWeight(weight_tensors, tfliteModelBuffer, tensor_cache, schema::Format_KHWC)) { + if (RET_OK != ParseTensor(weight_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse weight failed"; return RET_ERROR; } @@ -69,7 +79,7 @@ STATUS TfliteConvParser::Parse(const std::unique_ptr &tfliteO return RET_NULL_PTR; } std::vector bias_tensors{bias_tensor.get()}; - if (RET_OK != ParseBias(bias_tensors, tfliteModelBuffer, tensor_cache)) { + if (RET_OK != ParseTensor(bias_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse bias failed"; return RET_ERROR; } @@ -77,11 +87,8 @@ STATUS TfliteConvParser::Parse(const std::unique_ptr &tfliteO // calculate pad params - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Conv2D; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Conv2D; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_converter.h b/mindspore/lite/tools/converter/parser/tflite/tflite_converter.h index 88f0710851..9269502330 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_converter.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_converter.h @@ -14,8 +14,8 @@ * limitations under the License. */ -#ifndef MINDSPORE_CCSRC_TOOLS_LITE_CONVERTER_PARSER_TFLITE_CAFFE_CONVERTER_H_ -#define MINDSPORE_CCSRC_TOOLS_LITE_CONVERTER_PARSER_TFLITE_CAFFE_CONVERTER_H_ +#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_CONVERTER_H_ +#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_CONVERTER_H_ #include #include @@ -34,5 +34,5 @@ class TfliteConverter : public Converter { } // namespace lite } // namespace mindspore -#endif // MINDSPORE_CCSRC_TOOLS_LITE_CONVERTER_PARSER_TFLITE_CAFFE_CONVERTER_H_ +#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_CONVERTER_H_ diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_cos_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_cos_parser.cc deleted file mode 100644 index 3696bc5212..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_cos_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_cos_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteCosParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteCosParser"; - std::unique_ptr attr(new schema::CosT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Cos; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteCosParser("Cos", new TfliteCosParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_cos_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_cos_parser.h deleted file mode 100644 index f2dedf2c22..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_cos_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_COS_PARSER_H -#define PREDICT_TFLITE_COS_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteCosParser : public TfliteNodeParser { - public: - TfliteCosParser() : TfliteNodeParser("Cos") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_COS_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc index 606cccd1a2..5856077cb7 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteDeConvParser::Parse(const std::unique_ptr &tflit const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse tflite Transpose_Conv parser"; std::unique_ptr attr(new schema::DeConv2DT()); const auto &tflite_attr = tfliteOp->builtin_options.AsTransposeConvOptions(); @@ -49,7 +59,7 @@ STATUS TfliteDeConvParser::Parse(const std::unique_ptr &tflit return RET_NULL_PTR; } std::vector weight_tensors{weight_tensor.get()}; - if (RET_OK != ParseWeight(weight_tensors, tfliteModelBuffer, tensor_cache, schema::Format_KHWC)) { + if (RET_OK != ParseTensor(weight_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { return RET_ERROR; } auto weight_shape = weight_tensor->shape; @@ -58,11 +68,8 @@ STATUS TfliteDeConvParser::Parse(const std::unique_ptr &tflit attr->kernelW = weight_shape[CHWK_W]; attr->kernelH = weight_shape[CHWK_H]; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_DeConv2D; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_DeConv2D; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_depth_to_space_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_depth_to_space_parser.cc index ed9c897003..04586855f5 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_depth_to_space_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_depth_to_space_parser.cc @@ -26,6 +26,16 @@ STATUS TfliteDepthToSpaceParser::Parse(const std::unique_ptr const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteDepthToSpaceParser"; std::unique_ptr attr(new schema::DepthToSpaceT()); @@ -38,11 +48,8 @@ STATUS TfliteDepthToSpaceParser::Parse(const std::unique_ptr attr->format = schema::Format_NHWC; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_DepthToSpace; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_DepthToSpace; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_depthwise_conv_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_depthwise_conv_parser.cc index 7c4e8d9225..96215944d1 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_depthwise_conv_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_depthwise_conv_parser.cc @@ -66,11 +66,8 @@ STATUS TfliteDepthwiseConv2DParser::ParseGroupDepthwiseConv(schema::CNodeT *op, } } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Conv2D; - op->primitive->value.value = convAttr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Conv2D; + op->primitive->value.value = convAttr.release(); return RET_OK; } @@ -79,6 +76,16 @@ STATUS TfliteDepthwiseConv2DParser::Parse(const std::unique_ptr> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteDepthwiseConv2DParser"; std::unique_ptr attr(new schema::DepthwiseConv2DT()); const auto &tflite_attr = tflite_op->builtin_options.AsDepthwiseConv2DOptions(); @@ -96,10 +103,18 @@ STATUS TfliteDepthwiseConv2DParser::Parse(const std::unique_ptrinputs[0]; const auto &input_tenosr = tflite_tensors[input_index]; + if (input_tenosr == nullptr) { + MS_LOG(ERROR) << "the first input is null"; + return RET_NULL_PTR; + } auto input_shape = input_tenosr->shape; auto weight_index = tflite_op->inputs[1]; const auto &weight_tensor = tflite_tensors[weight_index]; + if (weight_tensor == nullptr) { + MS_LOG(ERROR) << "the weight tensor is null"; + return RET_NULL_PTR; + } auto weight_shape = weight_tensor->shape; attr->channelIn = input_shape[KHWC_C]; attr->channelMultiplier = tflite_attr->depth_multiplier; @@ -108,7 +123,7 @@ STATUS TfliteDepthwiseConv2DParser::Parse(const std::unique_ptr weight_tensors{weight_tensor.get()}; - if (RET_OK != ParseWeight(weight_tensors, tfliteModelBuffer, tensor_cache, schema::Format_KHWC)) { + if (RET_OK != ParseTensor(weight_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse weight failed"; return RET_ERROR; } @@ -118,7 +133,7 @@ STATUS TfliteDepthwiseConv2DParser::Parse(const std::unique_ptrinputs[2]; const auto &bias_tensor = tflite_tensors[bias_index]; std::vector bias_tensors{bias_tensor.get()}; - if (RET_OK != ParseBias(bias_tensors, tfliteModelBuffer, tensor_cache)) { + if (RET_OK != ParseTensor(bias_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse bias failed"; return RET_ERROR; } @@ -126,11 +141,10 @@ STATUS TfliteDepthwiseConv2DParser::Parse(const std::unique_ptrchannelMultiplier > 1) { if (RET_OK != ParseGroupDepthwiseConv(op, attr, weight_tensor, tensor_cache)) { - // MS_LOGE("Parse Group DepthwiseConv failed"); + MS_LOG(ERROR) << "Parse Group DepthwiseConv failed"; return RET_ERROR; } } else { - op->primitive = std::make_unique(); op->primitive->value.type = schema::PrimitiveType_DepthwiseConv2D; op->primitive->value.value = attr.release(); } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_div_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_div_parser.cc deleted file mode 100644 index f55652515c..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_div_parser.cc +++ /dev/null @@ -1,86 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_div_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteDivParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteDivParser"; - std::unique_ptr attr(new schema::DivT()); - - const auto &tfliteAttr = tfliteOp->builtin_options.AsDivOptions(); - if (nullptr == tfliteAttr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->activationType = GetActivationFunctionType(tfliteAttr->fused_activation_function); - - auto x_index = tfliteOp->inputs[0]; - const auto &x_tensor = tfliteTensors[x_index]; - if (x_tensor == nullptr) { - MS_LOG(ERROR) << "the first input is null"; - return RET_NULL_PTR; - } - auto &x_data = tfliteModelBuffer.at(x_tensor->buffer); - if (x_data == nullptr) { - MS_LOG(ERROR) << "the data of the first input is null"; - return RET_NULL_PTR; - } - if (x_data->data.size() > 0) { - std::vector x_tensors{x_tensor.get()}; - if (RET_OK != ParseTensor(x_tensors, tfliteModelBuffer, tensor_cache, TF_CONST, true)) { - MS_LOG(ERROR) << "parse the first tensor failed"; - return RET_ERROR; - } - } - - auto y_index = tfliteOp->inputs[1]; - const auto &y_tensor = tfliteTensors[y_index]; - if (y_tensor == nullptr) { - MS_LOG(ERROR) << "the second input is null"; - return RET_NULL_PTR; - } - auto &y_data = tfliteModelBuffer.at(y_tensor->buffer); - if (y_data == nullptr) { - MS_LOG(ERROR) << "the data of the second input is null"; - return RET_NULL_PTR; - } - if (y_data->data.size() > 0) { - std::vector y_tensors{y_tensor.get()}; - if (RET_OK != ParseTensor(y_tensors, tfliteModelBuffer, tensor_cache, TF_CONST, true)) { - MS_LOG(ERROR) << "parse the second tensor failed"; - return RET_ERROR; - } - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Div; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteDivParser("Div", new TfliteDivParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_div_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_div_parser.h deleted file mode 100644 index 1a82a0f806..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_div_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_DIV_PARSER_H -#define PREDICT_TFLITE_DIV_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteDivParser : public TfliteNodeParser { - public: - TfliteDivParser() : TfliteNodeParser("Div") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_DIV_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_equal_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_equal_parser.cc deleted file mode 100644 index 3ef4ddd286..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_equal_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_equal_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteEqualParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "parse TfliteEqualParser"; - std::unique_ptr attr(new schema::EqualT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Equal; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteEqualParser("Equal", new TfliteEqualParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_equal_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_equal_parser.h deleted file mode 100644 index 3435285b2a..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_equal_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_EQUAL_PARSER_H -#define LITE_TFLITE_EQUAL_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteEqualParser : public TfliteNodeParser { - public: - TfliteEqualParser() : TfliteNodeParser("Equal") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_EQUAL_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_exp_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_exp_parser.cc deleted file mode 100644 index 2d89b47dca..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_exp_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_exp_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteExpParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteExpParser"; - std::unique_ptr attr(new schema::ExpT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Exp; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteExpParser("Exp", new TfliteExpParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_exp_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_exp_parser.h deleted file mode 100644 index ec27390ace..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_exp_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_EXP_PARSER_H -#define PREDICT_TFLITE_EXP_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteExpParser : public TfliteNodeParser { - public: - TfliteExpParser() : TfliteNodeParser("Exp") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_EXP_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_expand_dims_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_expand_dims_parser.cc index 21172cb4f9..624a0e5193 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_expand_dims_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_expand_dims_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteExpandDimsParser::Parse(const std::unique_ptr &t schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteExpandDimsParser"; std::unique_ptr attr(new schema::ExpandDimsT()); diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_fakequant_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_fakequant_parser.cc index b785eb4b1e..58ca290f36 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_fakequant_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_fakequant_parser.cc @@ -24,6 +24,16 @@ STATUS TfliteFakeQuantParser::Parse(const std::unique_ptr &tf const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteFullyConnectedParser"; std::unique_ptr attr(new schema::FullConnectionT()); @@ -34,7 +44,7 @@ STATUS TfliteFakeQuantParser::Parse(const std::unique_ptr &tf return RET_NULL_PTR; } std::vector weight_tensors{weight_tensor.get()}; - if (RET_OK != ParseWeight(weight_tensors, tfliteModelBuffer, tensor_cache, schema::Format_NHWC)) { + if (RET_OK != ParseTensor(weight_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse weight failed"; return RET_ERROR; } @@ -48,18 +58,15 @@ STATUS TfliteFakeQuantParser::Parse(const std::unique_ptr &tf return RET_NULL_PTR; } std::vector bias_tensors{bias_tensor.get()}; - if (RET_OK != ParseBias(bias_tensors, tfliteModelBuffer, tensor_cache)) { + if (RET_OK != ParseTensor(bias_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse bias failed"; return RET_ERROR; } } attr->axis = 1; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_FullConnection; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_FullConnection; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_fill_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_fill_parser.cc index 06b56df1e5..a7b3be7f66 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_fill_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_fill_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteFillParser::Parse(const std::unique_ptr &tfliteO schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteFillParser"; std::unique_ptr attr(new schema::FillT()); @@ -37,11 +47,8 @@ STATUS TfliteFillParser::Parse(const std::unique_ptr &tfliteO } } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Fill; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Fill; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_div_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_floor_div_parser.cc deleted file mode 100644 index 2f38e6a35e..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_div_parser.cc +++ /dev/null @@ -1,45 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_floor_div_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteFloorDivParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteFloorDivParser"; - std::unique_ptr attr(new schema::FloorDivT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_FloorDiv; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteFloorDivParser("FloorDiv", new TfliteFloorDivParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_div_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_floor_div_parser.h deleted file mode 100644 index 3ee5f51305..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_div_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_FLOOR_DIV_PARSER_H -#define PREDICT_TFLITE_FLOOR_DIV_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteFloorDivParser : public TfliteNodeParser { - public: - TfliteFloorDivParser() : TfliteNodeParser("FloorDiv") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_FLOOR_DIV_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_mod_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_floor_mod_parser.cc deleted file mode 100644 index ea99cef833..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_mod_parser.cc +++ /dev/null @@ -1,45 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_floor_mod_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteFloorModParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteFloorModParser"; - std::unique_ptr attr(new schema::FloorModT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_FloorMod; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteFloorModParser("FloorMod", new TfliteFloorModParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_mod_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_floor_mod_parser.h deleted file mode 100644 index b0ed989508..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_mod_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_FLOOR_MOD_PARSER_H -#define PREDICT_TFLITE_FLOOR_MOD_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteFloorModParser : public TfliteNodeParser { - public: - TfliteFloorModParser() : TfliteNodeParser("FloorMod") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_FLOOR_MOD_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_floor_parser.cc deleted file mode 100644 index 2325cd07be..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_parser.cc +++ /dev/null @@ -1,45 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_floor_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteFloorParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteFloorParser"; - std::unique_ptr attr(new schema::FloorT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Floor; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteFloorParser("flOOR", new TfliteFloorParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_floor_parser.h deleted file mode 100644 index 6f828a1e50..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_floor_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_FLOOR_PARSER_H -#define PREDICT_TFLITE_FLOOR_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteFloorParser : public TfliteNodeParser { - public: - TfliteFloorParser() : TfliteNodeParser("flOOR") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_FLOOR_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_fullyconnected_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_fullyconnected_parser.cc index 61e40382ae..21664183f5 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_fullyconnected_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_fullyconnected_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteFullyConnectedParser::Parse(const std::unique_ptr> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteFullyConnectedParser"; std::unique_ptr attr(new schema::FullConnectionT()); @@ -35,7 +45,7 @@ STATUS TfliteFullyConnectedParser::Parse(const std::unique_ptr weight_tensors{weight_tensor.get()}; - if (RET_OK != ParseWeight(weight_tensors, tfliteModelBuffer, tensor_cache, schema::Format_NHWC)) { + if (RET_OK != ParseTensor(weight_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse weight failed"; return RET_ERROR; } @@ -49,18 +59,15 @@ STATUS TfliteFullyConnectedParser::Parse(const std::unique_ptr bias_tensors{bias_tensor.get()}; - if (RET_OK != ParseBias(bias_tensors, tfliteModelBuffer, tensor_cache)) { + if (RET_OK != ParseTensor(bias_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse bias failed"; return RET_ERROR; } } attr->axis = 1; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_FullConnection; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_FullConnection; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_gather_nd_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_gather_nd_parser.cc index 18b4d49aa0..3d277cd986 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_gather_nd_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_gather_nd_parser.cc @@ -27,16 +27,23 @@ STATUS TfliteGatherNdParser::Parse(const std::unique_ptr &tfl schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteGatherNdParser"; std::unique_ptr attr(new schema::GatherNdT()); attr->batchDims = 0; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_GatherNd; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_GatherNd; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_gather_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_gather_parser.cc index 2526e1665f..c95e378216 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_gather_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_gather_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteGatherParser::Parse(const std::unique_ptr &tflit schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteGatherParser"; std::unique_ptr attr(new schema::GatherT()); @@ -39,11 +49,8 @@ STATUS TfliteGatherParser::Parse(const std::unique_ptr &tflit attr->batchDims = 0; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Gather; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Gather; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_greater_equal_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_greater_equal_parser.cc deleted file mode 100644 index 0ca417a180..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_greater_equal_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_greater_equal_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteGreaterEqualParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "parse TfliteGreaterEqualParser"; - std::unique_ptr attr(new schema::GreaterEqualT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_GreaterEqual; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteGreaterEqualParser("GreaterEqual", new TfliteGreaterEqualParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_greater_equal_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_greater_equal_parser.h deleted file mode 100644 index aacd8e3ab0..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_greater_equal_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_GREATER_EQUAL_PARSER_H -#define LITE_TFLITE_GREATER_EQUAL_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteGreaterEqualParser : public TfliteNodeParser { - public: - TfliteGreaterEqualParser() : TfliteNodeParser("GreaterEqual") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_GREATER_EQUAL_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_greater_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_greater_parser.cc deleted file mode 100644 index c706140dc6..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_greater_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_greater_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteGreaterParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "parse TfliteGreaterParser"; - std::unique_ptr attr(new schema::GreaterT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Greater; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteGreaterParser("Greater", new TfliteGreaterParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_greater_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_greater_parser.h deleted file mode 100644 index 99ab59c1f6..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_greater_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_GREATER_PARSER_H -#define LITE_TFLITE_GREATER_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteGreaterParser : public TfliteNodeParser { - public: - TfliteGreaterParser() : TfliteNodeParser("Greater") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_GREATER_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_hard_swish_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_hard_swish_parser.cc index 4dd7fe9b89..e7ff131f73 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_hard_swish_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_hard_swish_parser.cc @@ -25,16 +25,23 @@ STATUS TfliteHardSwishParser::Parse(const std::unique_ptr &tf const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(INFO) << "parse TfliteHardSwishParser"; std::unique_ptr attr(new schema::ActivationT()); attr->type = schema::ActivationType_HSWISH; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Activation; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Activation; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_leaky_relu_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_leaky_relu_parser.cc deleted file mode 100644 index 82a94836e6..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_leaky_relu_parser.cc +++ /dev/null @@ -1,49 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_leaky_relu_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteLeakyReluParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteLeakyReluParser"; - std::unique_ptr attr(new schema::ActivationT()); - - const auto &tflite_attr = tfliteOp->builtin_options.AsLeakyReluOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->type = schema::ActivationType_LEAKY_RELU; - attr->alpha = tflite_attr->alpha; - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Activation; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteLeakyReluParser("LeakyRelu", new TfliteLeakyReluParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_leaky_relu_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_leaky_relu_parser.h deleted file mode 100644 index bce9c90a9f..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_leaky_relu_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_LEAKY_RELU_PARSER_H -#define PREDICT_TFLITE_LEAKY_RELU_PARSER_H - -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" -#include -#include - -namespace mindspore { -namespace lite { -class TfliteLeakyReluParser : public TfliteNodeParser { - public: - TfliteLeakyReluParser() : TfliteNodeParser("LeakyRelu") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_LEAKY_RELU_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_less_equal_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_less_equal_parser.cc deleted file mode 100644 index 72f26ebc6e..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_less_equal_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_less_equal_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteLessEqualParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "parse TfliteLessEqualParser"; - std::unique_ptr attr(new schema::LessEqualT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_LessEqual; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteLessEqualParser("LessEqual", new TfliteLessEqualParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_less_equal_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_less_equal_parser.h deleted file mode 100644 index 87fa8cedd8..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_less_equal_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_LESS_EQUAL_PARSER_H -#define LITE_TFLITE_LESS_EQUAL_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteLessEqualParser : public TfliteNodeParser { - public: - TfliteLessEqualParser() : TfliteNodeParser("LessEqual") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_LESS_EQUAL_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_less_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_less_parser.cc deleted file mode 100644 index 250272aa1f..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_less_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_less_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteLessParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "parse TfliteLessParser"; - std::unique_ptr attr(new schema::LessT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Less; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteLessParser("Less", new TfliteLessParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_less_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_less_parser.h deleted file mode 100644 index 7cbe1c38da..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_less_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_LESS_PARSER_H -#define LITE_TFLITE_LESS_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteLessParser : public TfliteNodeParser { - public: - TfliteLessParser() : TfliteNodeParser("Less") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_LESS_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_log_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_log_parser.cc deleted file mode 100644 index 032c57225b..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_log_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_log_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteLogParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteLogParser"; - std::unique_ptr attr(new schema::LogT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Log; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteLogParser("Log", new TfliteLogParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_log_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_log_parser.h deleted file mode 100644 index cb828b6706..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_log_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_LOG_PARSER_H -#define PREDICT_TFLITE_LOG_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteLogParser : public TfliteNodeParser { - public: - TfliteLogParser() : TfliteNodeParser("Log") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_LOG_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_and_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_and_parser.cc deleted file mode 100644 index c7df7acc8c..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_and_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_logical_and_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteLogicalAndParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteLogicalAndParser"; - std::unique_ptr attr(new schema::LogicalAndT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_LogicalAnd; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteLogicalAndParser("LogicalAnd", new TfliteLogicalAndParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_not_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_not_parser.cc deleted file mode 100644 index 396decce53..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_not_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_logical_not_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteLogicalNotParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteLogicalNotParser"; - std::unique_ptr attr(new schema::LogicalNotT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_LogicalNot; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteLogicalNotParser("LogicalNot", new TfliteLogicalNotParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_not_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_not_parser.h deleted file mode 100644 index 41f8f1bd2f..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_not_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_LOGICAL_NOT_PARSER_H -#define PREDICT_TFLITE_LOGICAL_NOT_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteLogicalNotParser : public TfliteNodeParser { - public: - TfliteLogicalNotParser() : TfliteNodeParser("LogicalNot") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_LOGICAL_NOT_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_or_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_or_parser.cc deleted file mode 100644 index 24582be41d..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_or_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_logical_or_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteLogicalOrParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteLogicalOrParser"; - std::unique_ptr attr(new schema::LogicalOrT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_LogicalOr; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteLogicalOrParser("LogicalOr", new TfliteLogicalOrParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_or_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_or_parser.h deleted file mode 100644 index 55f74c174b..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_or_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_LOGICAL_OR_PARSER_H -#define PREDICT_TFLITE_LOGICAL_OR_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteLogicalOrParser : public TfliteNodeParser { - public: - TfliteLogicalOrParser() : TfliteNodeParser("LogicalOr") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_LOGICAL_OR_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.cc new file mode 100644 index 0000000000..078523ff40 --- /dev/null +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.cc @@ -0,0 +1,70 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include +#include +#include +#include "tools/converter/parser/tflite/tflite_logical_parser.h" + +namespace mindspore { +namespace lite { +STATUS TfliteLogicalParser::Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::vector node_name_str; + Split(op->name.data(), &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + if (std::strcmp(node_name, "LogicalAnd") == 0) { + MS_LOG(DEBUG) << "parse TfliteLogicalAndParser"; + std::unique_ptr attr(new schema::LogicalAndT()); + op->primitive->value.type = schema::PrimitiveType_LogicalAnd; + op->primitive->value.value = attr.release(); + } else if (std::strcmp(node_name, "LogicalNot") == 0) { + MS_LOG(INFO) << "parse TfliteLogicalNotParser"; + std::unique_ptr attr(new schema::LogicalNotT()); + op->primitive->value.type = schema::PrimitiveType_LogicalNot; + op->primitive->value.value = attr.release(); + } else if (std::strcmp(node_name, "LogicalOr") == 0) { + MS_LOG(INFO) << "parse TfliteLogicalOrParser"; + std::unique_ptr attr(new schema::LogicalOrT()); + op->primitive->value.type = schema::PrimitiveType_LogicalOr; + op->primitive->value.value = attr.release(); + } else { + MS_LOG(ERROR) << "wrong logical type"; + return RET_ERROR; + } + +return RET_OK; +} + +TfliteNodeRegister g_TfliteLogicalAndParser("LogicalAnd", new TfliteLogicalAndParser()); +TfliteNodeRegister g_TfliteLogicalNotParser("LogicalNot", new TfliteLogicalNotParser()); +TfliteNodeRegister g_TfliteLogicalOrParser("LogicalOr", new TfliteLogicalOrParser()); + +} // namespace lite +} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_and_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.h similarity index 74% rename from mindspore/lite/tools/converter/parser/tflite/tflite_logical_and_parser.h rename to mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.h index 6e28d75f39..3608f1f12d 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_logical_and_parser.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.h @@ -24,9 +24,10 @@ namespace mindspore { namespace lite { -class TfliteLogicalAndParser : public TfliteNodeParser { + +class TfliteLogicalParser : public TfliteNodeParser { public: - TfliteLogicalAndParser() : TfliteNodeParser("LogicalAnd") {} + TfliteLogicalParser() : TfliteNodeParser("node_name") {} STATUS Parse(const std::unique_ptr &tfliteOp, const std::vector> &tfliteTensors, @@ -35,6 +36,21 @@ class TfliteLogicalAndParser : public TfliteNodeParser { TensorCache *tensor_cache, bool quantizedModel) override; }; + +class TfliteLogicalAndParser : public TfliteLogicalParser { + public: + TfliteLogicalAndParser() : TfliteLogicalParser() {} +}; + +class TfliteLogicalNotParser : public TfliteLogicalParser { + public: + TfliteLogicalNotParser() : TfliteLogicalParser() {} +}; + +class TfliteLogicalOrParser : public TfliteLogicalParser { + public: + TfliteLogicalOrParser() : TfliteLogicalParser() {} +}; } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logistic_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_logistic_parser.cc deleted file mode 100644 index bb254f2c3e..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_logistic_parser.cc +++ /dev/null @@ -1,46 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_logistic_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteLogisticParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteLogisticParser"; - std::unique_ptr attr(new schema::ActivationT()); - attr->type = schema::ActivationType_SIGMOID; - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Activation; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteLogisticParser("Logistic", new TfliteLogisticParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_logistic_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_logistic_parser.h deleted file mode 100644 index 6c5402faa8..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_logistic_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_LOGISTIC_PARSER_H -#define PREDICT_TFLITE_LOGISTIC_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteLogisticParser : public TfliteNodeParser { - public: - TfliteLogisticParser() : TfliteNodeParser("Logistic") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_CONCAT_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_lrn_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_lrn_parser.cc index 789d2ec203..7d37779377 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_lrn_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_lrn_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteLRNParser::Parse(const std::unique_ptr &tfliteOp schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteLRNParser"; std::unique_ptr attr(new schema::LocalResponseNormalizationT()); @@ -40,11 +50,8 @@ STATUS TfliteLRNParser::Parse(const std::unique_ptr &tfliteOp attr->beta = tflite_attr->beta; attr->bias = tflite_attr->bias; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_LocalResponseNormalization; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_LocalResponseNormalization; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_max_pooling_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_max_pooling_parser.cc deleted file mode 100644 index 7658a04a4a..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_max_pooling_parser.cc +++ /dev/null @@ -1,60 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_max_pooling_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteMaxPoolingParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteMaxPoolingParser"; - std::unique_ptr attr(new schema::PoolingT()); - const auto &tflite_attr = tflite_op->builtin_options.AsPool2DOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - - attr->format = schema::Format_NHWC; - // attr->global - attr->poolingMode = schema::PoolMode_MAX_POOLING; - attr->windowW = tflite_attr->filter_width; - attr->windowH = tflite_attr->filter_height; - attr->strideW = tflite_attr->stride_w; - attr->strideH = tflite_attr->stride_h; - attr->padMode = GetPadMode(tflite_attr->padding); - - // calculate pad params - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Pooling; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteMaxPoolingParser("MaxPooling", new TfliteMaxPoolingParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_max_pooling_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_max_pooling_parser.h deleted file mode 100644 index 0893b580ca..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_max_pooling_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_MAX_POOLING_PARSER_H -#define PREDICT_TFLITE_MAX_POOLING_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteMaxPoolingParser : public TfliteNodeParser { - public: - TfliteMaxPoolingParser() : TfliteNodeParser("MaxPooling") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_CONV_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_maximum_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_maximum_parser.cc deleted file mode 100644 index dc55c07713..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_maximum_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_maximum_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteMaximumParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteMaximumParser"; - std::unique_ptr attr(new schema::MaximumT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Maximum; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteMaximumParser("Maximum", new TfliteMaximumParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_maximum_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_maximum_parser.h deleted file mode 100644 index 5f3587d656..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_maximum_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_MAXIMUM_PARSER_H -#define PREDICT_TFLITE_MAXIMUM_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteMaximumParser : public TfliteNodeParser { - public: - TfliteMaximumParser() : TfliteNodeParser("Maximum") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_MAXIMUM_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_mean_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_mean_parser.cc deleted file mode 100644 index 9a8e490c45..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_mean_parser.cc +++ /dev/null @@ -1,53 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_mean_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteMeanParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteMeanParser"; - std::unique_ptr attr(new schema::MeanT()); - - const auto &tflite_attr = tfliteOp->builtin_options.AsReducerOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->keepDims = tflite_attr->keep_dims; - - if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->axis)) { - MS_LOG(ERROR) << "Mean get axis attr failed"; - return RET_ERROR; - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Mean; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteMeanParser("Mean", new TfliteMeanParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_mean_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_mean_parser.h deleted file mode 100644 index 09e926fc62..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_mean_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_MEAN_PARSER_H -#define PREDICT_TFLITE_MEAN_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteMeanParser : public TfliteNodeParser { - public: - TfliteMeanParser() : TfliteNodeParser("Mean") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_MEAN_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_mean_pooling_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_mean_pooling_parser.cc deleted file mode 100644 index ec34e12bb4..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_mean_pooling_parser.cc +++ /dev/null @@ -1,60 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_mean_pooling_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteMeanPoolingParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parser TfliteMeanPoolingParser"; - std::unique_ptr attr(new schema::PoolingT()); - - const auto &tflite_attr = tflite_op->builtin_options.AsPool2DOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->windowW = tflite_attr->filter_width; - attr->windowH = tflite_attr->filter_height; - attr->strideW = tflite_attr->stride_w; - attr->strideH = tflite_attr->stride_h; - attr->padMode = GetPadMode(tflite_attr->padding); - - attr->format = schema::Format_NHWC; - // attr->global - attr->poolingMode = schema::PoolMode_MEAN_POOLING; - - // calculate pad params - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Pooling; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteMeanPoolingParser("MeanPooling", new TfliteMeanPoolingParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_minimum_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_minimum_parser.cc deleted file mode 100644 index 245b69fd24..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_minimum_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_minimum_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteMinimumParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteMinimumParser"; - std::unique_ptr attr(new schema::MinimumT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Minimum; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteMinimumParser("Minimum", new TfliteMinimumParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_minimum_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_minimum_parser.h deleted file mode 100644 index 0e0bda8a4b..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_minimum_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_MINIMUM_PARSER_H -#define PREDICT_TFLITE_MINIMUM_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteMinimumParser : public TfliteNodeParser { - public: - TfliteMinimumParser() : TfliteNodeParser("Minimum") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_MINIMUM_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc index 1a7ce0c399..253a94c1e3 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc @@ -15,7 +15,6 @@ */ #include "tools/converter/parser/tflite/tflite_model_parser.h" -#include #include #include #include "tools/common/graph_util.h" @@ -71,6 +70,10 @@ STATUS TfliteModelParser::ParseTfliteQuantParams(const std::unique_ptroutputs.begin(), tflite_op->outputs.end()); for (const auto &index : quant_params_index) { const auto &tflite_tensor = tflite_subgraph->tensors[index]; + if (tflite_tensor == nullptr) { + MS_LOG(ERROR) << "tensor with id = " << index <<" is null"; + return RET_ERROR; + } if (tflite_tensor->quantization->scale.empty() && tflite_tensor->quantization->zero_point.empty() && tflite_tensor->quantization->min.empty() && tflite_tensor->quantization->max.empty()) { continue; @@ -101,6 +104,10 @@ STATUS TfliteModelParser::SetOpOutputIdx(const std::unique_ptroutputs) { const auto &tflite_tensor = tflite_subgraph->tensors[index]; + if (tflite_tensor == nullptr) { + MS_LOG(ERROR) << "tensor with id = " << index <<" is null"; + return RET_ERROR; + } std::unique_ptr tensor(new schema::TensorT()); tensor->dataType = GetTfliteDataType(tflite_tensor->type); tensor->dims = tflite_tensor->shape; @@ -108,7 +115,6 @@ STATUS TfliteModelParser::SetOpOutputIdx(const std::unique_ptrAddTensor(tflite_tensor->name, tensor.release(), OP_OUTPUT); op->outputIndex.emplace_back(opOutputIndex); } - return RET_OK; } @@ -123,6 +129,10 @@ STATUS TfliteModelParser::SetOpInputIdx(const std::unique_ptr &t for (const auto &tflite_index : op_inputs) { const auto &tflite_tensor = tflite_subgraph->tensors[tflite_index]; + if (tflite_tensor == nullptr) { + MS_LOG(ERROR) << "tensor with id = " << tflite_index <<" is null"; + return RET_ERROR; + } auto tensor_name = tflite_tensor->name; auto op = tfliteOpMap[tflite_op.get()]; unsigned int index = tensorCache->FindTensor(tensor_name); @@ -144,10 +154,8 @@ STATUS TfliteModelParser::ParseOp(const std::unique_ptr &tflite_ std::unique_ptr op(new schema::CNodeT); op->name = opType + "-" + std::to_string(i++); + MS_LOG(INFO) << "parse op: " << op->name.c_str(); - MS_LOG(INFO) << "parse op: [%s]" << op->name.c_str(); - - // 1. init op attr params auto node_parser = TfliteNodeParserRegistry::GetInstance()->GetNodeParser(opType); if (node_parser == nullptr) { MS_LOG(ERROR) << "cannot find node parser, opType: "<< opType.c_str(); @@ -164,7 +172,7 @@ STATUS TfliteModelParser::ParseOp(const std::unique_ptr &tflite_ status = SetOpOutputIdx(tflite_subgraph, tflite_op, op.get(), tensorCache); if (status != RET_OK) { - MS_LOG(ERROR) << "Set Op " << op->name.c_str() << " Output Index Failed!"; + MS_LOG(ERROR) << "Set Op "<< op->name.c_str() << " Output Index Failed!"; return RET_ERROR; } @@ -175,8 +183,7 @@ STATUS TfliteModelParser::ParseOp(const std::unique_ptr &tflite_ return RET_OK; } -void TfliteModelParser::SetInputTensor(const std::unique_ptr &tflite_model, - const std::unique_ptr &tflite_subgraph, +void TfliteModelParser::SetInputTensor(const std::unique_ptr &tflite_subgraph, TensorCache *tensor_cache) { for (const auto &index : tflite_subgraph->inputs) { const auto &tflite_tensor = tflite_subgraph->tensors[index]; @@ -206,35 +213,31 @@ void TfliteModelParser::SetGraphTensorIndex(const mindspore::lite::TensorCache & } MetaGraphT *TfliteModelParser::Parse(const std::string &modelFile, const std::string &weightFile) { - std::unique_ptr subGraph(new schema::MetaGraphT); if (ValidateFileStr(modelFile, ".tflite") != RET_OK) { - // MS_LOGE("INPUT ILLEGAL: modelFile must be *.tflite"); + MS_LOG(ERROR) << "INPUT ILLEGAL: modelFile must be *.tflite"; return nullptr; } - MS_LOG(INFO) << "modelFile is :" << modelFile; - std::unique_ptr tflite_model(new tflite::ModelT()); tflite_model = ReadTfliteModelFromFlat(modelFile.c_str()); if (tflite_model == nullptr) { - // MS_LOGE("read tflite model failed"); + MS_LOG(ERROR) << "read tflite model failed"; return nullptr; } - MS_LOG(INFO) << "after read model"; - - TensorCache tensorCache; if (tflite_model->subgraphs.size() != 1) { MS_LOG(ERROR) << "read tflite model subgraphs failed"; return nullptr; } - const auto &tflite_subgraph = tflite_model->subgraphs[0]; - subGraph->name = "MS_model converted by TF-Lite"; // set dst subGraph input/output tensor - SetInputTensor(tflite_model, tflite_subgraph, &tensorCache); - // set dst subGraph op attr etc. + TensorCache tensorCache; + SetInputTensor(tflite_subgraph, &tensorCache); + + // set dst subGraph op attr and tensor_cache. + std::unique_ptr subGraph(new schema::MetaGraphT); + subGraph->name = "MS_model converted by TF-Lite"; auto status = ParseOp(tflite_model, tflite_subgraph, subGraph.get(), &tensorCache); if (status != RET_OK) { MS_LOG(ERROR) << "ParseOp failed."; @@ -244,21 +247,20 @@ MetaGraphT *TfliteModelParser::Parse(const std::string &modelFile, const std::st for (const auto &tflite_op : tflite_subgraph->operators) { auto status_tmp = SetOpInputIdx(tflite_model, tflite_subgraph, tflite_op, &tensorCache); if (status_tmp != RET_OK) { - // MS_LOGE("Set Op %s Input Index Failed!", tfliteOpMap.at(tflite_op.get())->name.c_str()); + MS_LOG(ERROR) << "Set Op " << tfliteOpMap.at(tflite_op.get())->name.c_str() << " Input Index Failed!"; } } for (const auto &tflite_op : tflite_subgraph->operators) { auto statusTmp = ParseTfliteQuantParams(tflite_subgraph, tflite_op); if (statusTmp != RET_OK) { - // MS_LOGE("ParseTfliteQuantParams %s Failed!", tfliteOpMap.at(tflite_op.get())->name.c_str()); + MS_LOG(ERROR) << "ParseTfliteQuantParams " << tfliteOpMap.at(tflite_op.get())->name.c_str() << " Failed!"; } } SetGraphTensorIndex(tensorCache, subGraph.get()); SetAllTensors(tensorCache, subGraph.get()); return subGraph.release(); -// return Fb2Anf(subGraph.release()); } } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.h index 0ebd9a7199..2b1a8d046b 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.h @@ -14,29 +14,24 @@ * limitations under the License. */ -#ifndef MINDSPORE_CCSRC_TOOLS_LITE_CONVERTER_PARSER_TFLITE_MODEL_PARSER_H -#define MINDSPORE_CCSRC_TOOLS_LITE_CONVERTER_PARSER_TFLITE_MODEL_PARSER_H +#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_MODEL_PARSER_H +#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_MODEL_PARSER_H #include #include #include #include #include - #include #include #include #include - #include "securec/include/securec.h" #include "tools/converter/model_parser.h" #include "tools/converter/parser/tflite/tflite_node_parser_registry.h" #include "tools/common/tensor_util.h" - #include "mindspore/lite/schema/inner/model_generated.h" -// using namespace tflite; - namespace mindspore { namespace lite { class TfliteModelParser : public ModelParser { @@ -50,8 +45,7 @@ class TfliteModelParser : public ModelParser { private: std::unique_ptr ReadTfliteModelFromFlat(const char *buf); - void SetInputTensor(const std::unique_ptr &tflite_model, - const std::unique_ptr &tflite_subgraph, TensorCache *tensor_cache); + void SetInputTensor(const std::unique_ptr &tflite_subgraph, TensorCache *tensor_cache); void SetGraphTensorIndex(const mindspore::lite::TensorCache &tensorCache, schema::MetaGraphT *subGraphDef); @@ -82,6 +76,5 @@ class TfliteModelParser : public ModelParser { }; } // namespace lite } // namespace mindspore -#endif // PREDICT_CONV -// ERTER_PARSER_TFLITE_MODEL_PARSER_H +#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_MODEL_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_mul_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_mul_parser.cc deleted file mode 100644 index 8c2d3e9a94..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_mul_parser.cc +++ /dev/null @@ -1,88 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_mul_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteMulParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteMulParser"; - std::unique_ptr attr(new schema::MulT()); - - const auto &tfliteAttr = tfliteOp->builtin_options.AsMulOptions(); - if (nullptr == tfliteAttr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->activationType = GetActivationFunctionType(tfliteAttr->fused_activation_function); - - auto x_index = tfliteOp->inputs[0]; - const auto &x_tensor = tfliteTensors[x_index]; - if (x_tensor == nullptr) { - MS_LOG(ERROR) << "the first input is null"; - return RET_NULL_PTR; - } - auto &x_data = tfliteModelBuffer.at(x_tensor->buffer); - if (x_data == nullptr) { - MS_LOG(ERROR) << "the data of the first input is null"; - return RET_NULL_PTR; - } - if (x_data->data.size() > 0) { - std::vector x_tensors{x_tensor.get()}; - if (RET_OK != ParseTensor(x_tensors, tfliteModelBuffer, tensor_cache, TF_CONST, true)) { - MS_LOG(ERROR) << "parse the first tensor failed"; - return RET_ERROR; - } - } - - auto y_index = tfliteOp->inputs[1]; - const auto &y_tensor = tfliteTensors[y_index]; - if (y_tensor == nullptr) { - MS_LOG(ERROR) << "the second input is null"; - return RET_NULL_PTR; - } - auto &y_data = tfliteModelBuffer.at(y_tensor->buffer); - if (y_data == nullptr) { - MS_LOG(ERROR) << "the data of the second input is null"; - return RET_NULL_PTR; - } - if (y_data->data.size() > 0) { - std::vector y_tensors{y_tensor.get()}; - if (RET_OK != ParseTensor(y_tensors, tfliteModelBuffer, tensor_cache, TF_CONST, true)) { - MS_LOG(ERROR) << "parse the second tensor failed"; - return RET_ERROR; - } - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Mul; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteMulParser("Mul", new TfliteMulParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_mul_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_mul_parser.h deleted file mode 100644 index 5514c1af4e..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_mul_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_MUL_PARSER_H -#define PREDICT_TFLITE_MUL_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteMulParser : public TfliteNodeParser { - public: - TfliteMulParser() : TfliteNodeParser("Mul") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_MUL_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.cc index 6e1c7e32d4..45f3cdd275 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.cc @@ -16,80 +16,36 @@ #include #include -#include #include "securec/include/securec.h" #include "tools/converter/parser/tflite/tflite_node_parser.h" +#include "tools/converter/parser/tflite/tflite_util.h" namespace mindspore { namespace lite { STATUS TfliteNodeParser::CopyTfliteTensorData(const std::vector> &tfliteModelBuffer, - const tflite::TensorT *tflite_tensor, schema::TensorT *tensor) { + const tflite::TensorT *tflite_tensor, + schema::TensorT *tensor) { auto count = 1; std::for_each(tflite_tensor->shape.begin(), tflite_tensor->shape.end(), [&](int32_t sha) { count *= sha; }); auto data_size = count * GetDataTypeSize(TypeId(tensor->dataType)); auto buffer_idx = tflite_tensor->buffer; if (!tfliteModelBuffer[buffer_idx]->data.empty()) { tensor->data.resize(data_size); - auto ret = memcpy_s(tensor->data.data(), data_size, tfliteModelBuffer[buffer_idx]->data.data(), data_size); - if (ret) { - MS_LOG(ERROR) << "memcpy tensor data failed, error code: %d" << ret; - return ret; + if (memcpy_s(tensor->data.data(), data_size, tfliteModelBuffer[buffer_idx]->data.data(), data_size)) { + MS_LOG(ERROR) << "memcpy tensor data failed"; + return RET_ERROR; } } else { - MS_LOG(ERROR) << "src tensor data is empty."; + MS_LOG(ERROR) << "src tensor data is empty"; return RET_ERROR; } return RET_OK; } -STATUS TfliteNodeParser::ParseWeight(const std::vector &weight_tenosrs, - const std::vector> &tfliteModelBuffer, - mindspore::lite::TensorCache *tensor_cache, schema::Format format) { - for (const auto &weight_tensor : weight_tenosrs) { - auto idx = tensor_cache->FindTensor(weight_tensor->name); - if (idx < 0) { - std::unique_ptr tensor(new schema::TensorT); - tensor->dataType = GetTfliteDataType(weight_tensor->type); - tensor->dims = weight_tensor->shape; - tensor->nodeType = schema::NodeType_ValueNode; - // memcpy tensor data - // buffer is 0 (which refers to an always existent empty buffer) - if (weight_tensor->buffer > 0) { - CopyTfliteTensorData(tfliteModelBuffer, weight_tensor, tensor.get()); - } - MS_LOG(DEBUG) << "add weight tensor name: %s", weight_tensor->name.c_str(); - tensor_cache->AddTensor(weight_tensor->name, tensor.release(), TF_CONST); - } - } - return RET_OK; -} - -STATUS TfliteNodeParser::ParseBias(const std::vector &bias_tensors, - const std::vector> &tfliteModelBuffer, - TensorCache *tensor_cache) { - for (const auto &bias_tensor : bias_tensors) { - auto idx = tensor_cache->FindTensor(bias_tensor->name); - if (idx < 0) { - std::unique_ptr tensor(new schema::TensorT); - tensor->dataType = GetTfliteDataType(bias_tensor->type); - tensor->dims = bias_tensor->shape; - tensor->nodeType = schema::NodeType_ValueNode; - // memcpy tensor data - // buffer is 0 (which refers to an always existent empty buffer) - if (bias_tensor->buffer > 0) { - CopyTfliteTensorData(tfliteModelBuffer, bias_tensor, tensor.get()); - } - // MS_LOGD("add weight tensor name: %s", bias_tensor->name.c_str()); - tensor_cache->AddTensor(bias_tensor->name, tensor.release(), TF_CONST); - } - } - return RET_OK; -} - STATUS TfliteNodeParser::ParseTensor(const std::vector &ts, const std::vector> &tfliteModelBuffer, - mindspore::lite::TensorCache *tensor_cache, int node_type, - bool ifCopy) { + mindspore::lite::TensorCache *tensor_cache, + int node_type) { for (const auto &t : ts) { auto idx = tensor_cache->FindTensor(t->name); if (idx < 0) { @@ -97,29 +53,15 @@ STATUS TfliteNodeParser::ParseTensor(const std::vector &ts, tensor->dataType = GetTfliteDataType(t->type); tensor->dims = t->shape; - // memcpy tensor data, buffer is 0 (which refers to an always existent empty buffer) - if (ifCopy && t->buffer > 0) { + if (t->buffer > 0) { CopyTfliteTensorData(tfliteModelBuffer, t, tensor.get()); } - MS_LOG(DEBUG) << "add weight tensor name: %s", t->name.c_str(); + MS_LOG(DEBUG) << "add tensor name: " << t->name.c_str(); tensor_cache->AddTensor(t->name, tensor.release(), node_type); } } return RET_OK; } - -TypeId TfliteNodeParser::GetTfliteDataType(const tflite::TensorType &tflite_data_type) { - static std::unordered_map type_map = { - {tflite::TensorType_FLOAT32, TypeId::kNumberTypeFloat32}, {tflite::TensorType_FLOAT16, TypeId::kNumberTypeFloat16}, - {tflite::TensorType_INT32, TypeId::kNumberTypeInt32}, {tflite::TensorType_UINT8, TypeId::kNumberTypeUInt8}, - {tflite::TensorType_INT16, TypeId::kNumberTypeInt16}, {tflite::TensorType_INT8, TypeId::kNumberTypeInt8}, - }; - auto iter = type_map.find(tflite_data_type); - if (iter == type_map.end()) { - return kTypeUnknown; - } - return iter->second; -} } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.h index 4f8c0d7c05..94ae5f8c55 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.h @@ -14,8 +14,8 @@ * limitations under the License. */ -#ifndef PREDICT_TFLITE_NODE_PARSER_H -#define PREDICT_TFLITE_NODE_PARSER_H +#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_NODE_PARSER_H +#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_NODE_PARSER_H #include #include @@ -34,30 +34,24 @@ class TfliteNodeParser { public: explicit TfliteNodeParser(const std::string &nodeName) : name(nodeName) {} - virtual ~TfliteNodeParser() {} + virtual ~TfliteNodeParser() = default; virtual STATUS Parse(const std::unique_ptr &tfliteOp, const std::vector> &tfliteTensors, const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) = 0; - - STATUS ParseWeight(const std::vector &weight_tenosr, - const std::vector> &tfliteModelBuffer, TensorCache *tensor_cache, - schema::Format format); - - STATUS ParseBias(const std::vector &weight_tenosr, - const std::vector> &tfliteModelBuffer, TensorCache *tensor_cache); + const std::vector> &tfliteOpSet, + schema::CNodeT *op, + TensorCache *tensor_cache, + bool quantizedModel) = 0; STATUS ParseTensor(const std::vector &ts, const std::vector> &tfliteModelBuffer, - mindspore::lite::TensorCache *tensor_cache, int node_type, - bool ifCopy); + mindspore::lite::TensorCache *tensor_cache, + int node_type); STATUS CopyTfliteTensorData(const std::vector> &tfliteModelBuffer, - const tflite::TensorT *tflite_tensor, schema::TensorT *tensor); - - TypeId GetTfliteDataType(const tflite::TensorType &tflite_data_type); + const tflite::TensorT *tflite_tensor, + schema::TensorT *tensor); template STATUS GetTfliteData(const int32_t tensor_index, const std::vector> &tfliteTensors, @@ -67,6 +61,10 @@ class TfliteNodeParser { std::for_each(tfliteTensors[tensor_index]->shape.begin(), tfliteTensors[tensor_index]->shape.end(), [&](int32_t sha) { count *= sha; }); auto &buf_data = tfliteModelBuffer[tfliteTensors[tensor_index]->buffer]; + if (buf_data == nullptr) { + MS_LOG(ERROR) << "buf_data is null"; + return RET_NULL_PTR; + } auto data_ptr = buf_data->data.data(); switch (tfliteTensors[tensor_index]->type) { case tflite::TensorType_UINT8: { @@ -117,18 +115,18 @@ class TfliteNodeParser { } break; } + default: { + MS_LOG(ERROR) << "wrong tensor type"; + return RET_ERROR; + } } return RET_OK; } - protected: - bool isQuantizedModel(); - protected: const std::string &name; - bool quantizedModel; }; } // namespace lite } // namespace mindspore -#endif // PREDICT_TFLITE_NODE_PARSER_H +#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_NODE_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser_registry.h b/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser_registry.h index c2b533e241..ac8118b6e7 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser_registry.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_node_parser_registry.h @@ -14,8 +14,8 @@ * limitations under the License. */ -#ifndef MINDSPORE_CCSRC_TOOLS_LITE_CONVERTER_PARSER_TFLITE_NODE_PARSER_REGISTRY_H -#define MINDSPORE_CCSRC_TOOLS_LITE_CONVERTER_PARSER_TFLITE_NODE_PARSER_REGISTRY_H +#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_NODE_PARSER_REGISTRY_H +#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_NODE_PARSER_REGISTRY_H #include #include @@ -46,5 +46,5 @@ class TfliteNodeRegister { } // namespace lite } // namespace mindspore -#endif // MINDSPORE_CCSRC_TOOLS_LITE_CONVERTER_PARSER_TFLITE_NODE_PARSER_REGISTRY_H +#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_NODE_PARSER_REGISTRY_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_not_equal_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_not_equal_parser.cc deleted file mode 100644 index c2dafab666..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_not_equal_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_not_equal_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteNotEqualParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "parse TfliteNotEqualParser"; - std::unique_ptr attr(new schema::NotEqualT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_NotEqual; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteNotEqualParser("NotEqual", new TfliteNotEqualParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_not_equal_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_not_equal_parser.h deleted file mode 100644 index bf69218ae4..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_not_equal_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_NOT_EQUAL_PARSER_H -#define LITE_TFLITE_NOT_EQUAL_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteNotEqualParser : public TfliteNodeParser { - public: - TfliteNotEqualParser() : TfliteNodeParser("NotEqual") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_NOT_EQUAL_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_one_hot_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_one_hot_parser.cc index 9ecf8e7b07..0da5759332 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_one_hot_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_one_hot_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteOneHotParser::Parse(const std::unique_ptr &tflit const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(INFO) << "parse TfliteOneHotParser"; std::unique_ptr attr(new schema::OneHotT()); @@ -46,11 +56,8 @@ STATUS TfliteOneHotParser::Parse(const std::unique_ptr &tflit } attr->axis = axis; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_OneHot; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_OneHot; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_p_relu_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_p_relu_parser.cc deleted file mode 100644 index 169aa9d65b..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_p_relu_parser.cc +++ /dev/null @@ -1,47 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_p_relu_parser.h" - -namespace mindspore { -namespace lite { -STATUS TflitePreluParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "paser TflitePreluParser"; - std::unique_ptr attr(new schema::PreluT()); - - if (GetTfliteData(tflite_op->inputs[1], tflite_tensors, tflite_model_buffer, attr->slope)) { - MS_LOG(ERROR) << "get pRelu -> slope failed"; - return RET_ERROR; - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Prelu; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tflitePreluParser("Prelu", new TflitePreluParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_p_relu_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_p_relu_parser.h deleted file mode 100644 index 5e79ce6914..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_p_relu_parser.h +++ /dev/null @@ -1,40 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_P_RELU_PARSER_H -#define LITE_TFLITE_P_RELU_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TflitePreluParser : public TfliteNodeParser { - public: - TflitePreluParser() : TfliteNodeParser("Prelu") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_P_RELU_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_pad_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_pad_parser.cc index 6bbadb7f6f..cfd1700547 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_pad_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_pad_parser.cc @@ -25,6 +25,16 @@ STATUS TflitePadParser::Parse(const std::unique_ptr &tfliteOp const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TflitePadParser"; std::unique_ptr attr(new schema::PadT()); const auto &tflite_attr = tfliteOp->builtin_options.AsPadOptions(); @@ -40,11 +50,8 @@ STATUS TflitePadParser::Parse(const std::unique_ptr &tfliteOp return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Pad; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Pad; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.cc new file mode 100644 index 0000000000..15e67a9d34 --- /dev/null +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.cc @@ -0,0 +1,80 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include +#include +#include +#include "tools/converter/parser/tflite/tflite_pooling_parser.h" + +namespace mindspore { +namespace lite { +STATUS TflitePoolingParser::Parse(const std::unique_ptr &tflite_op, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::unique_ptr attr(new schema::PoolingT()); + + std::vector node_name_str; + Split(op->name.data(), &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + if (std::strcmp(node_name, "MeanPooling") == 0) { + MS_LOG(DEBUG) << "parser TfliteMeanPoolingParser"; + attr->poolingMode = schema::PoolMode_MEAN_POOLING; + } else if (std::strcmp(node_name, "MaxPooling") == 0) { + MS_LOG(DEBUG) << "parse TfliteMaxPoolingParser"; + attr->poolingMode = schema::PoolMode_MAX_POOLING; + } else { + MS_LOG(ERROR) << "wrong pooling type"; + return RET_ERROR; + } + + const auto &tflite_attr = tflite_op->builtin_options.AsPool2DOptions(); + if (tflite_attr == nullptr) { + MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; + return RET_NULL_PTR; + } + attr->windowW = tflite_attr->filter_width; + attr->windowH = tflite_attr->filter_height; + attr->strideW = tflite_attr->stride_w; + attr->strideH = tflite_attr->stride_h; + attr->padMode = GetPadMode(tflite_attr->padding); + attr->format = schema::Format_NHWC; + // attr->global + + // calculate pad params + + op->primitive->value.type = schema::PrimitiveType_Pooling; + op->primitive->value.value = attr.release(); + return RET_OK; +} + +TfliteNodeRegister g_tfliteMeanPoolingParser("MeanPooling", new TfliteMeanPoolingParser()); +TfliteNodeRegister g_tfliteMaxPoolingParser("MaxPooling", new TfliteMaxPoolingParser()); +} // namespace lite +} // namespace mindspore + + diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_mean_pooling_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.h similarity index 79% rename from mindspore/lite/tools/converter/parser/tflite/tflite_mean_pooling_parser.h rename to mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.h index 9f1dca30a2..1129df01cd 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_mean_pooling_parser.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.h @@ -24,9 +24,9 @@ namespace mindspore { namespace lite { -class TfliteMeanPoolingParser : public TfliteNodeParser { +class TflitePoolingParser : public TfliteNodeParser { public: - TfliteMeanPoolingParser() : TfliteNodeParser("MeanPooling") {} + TflitePoolingParser() : TfliteNodeParser("node_name") {} STATUS Parse(const std::unique_ptr &tfliteOp, const std::vector> &tfliteTensors, @@ -35,6 +35,16 @@ class TfliteMeanPoolingParser : public TfliteNodeParser { TensorCache *tensor_cache, bool quantizedModel) override; }; + +class TfliteMeanPoolingParser : public TflitePoolingParser { + public: + TfliteMeanPoolingParser() : TflitePoolingParser() {} +}; + +class TfliteMaxPoolingParser : public TflitePoolingParser { + public: + TfliteMaxPoolingParser() : TflitePoolingParser() {} +}; } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_pow_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_pow_parser.cc deleted file mode 100644 index a21986123d..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_pow_parser.cc +++ /dev/null @@ -1,47 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_pow_parser.h" - -namespace mindspore { -namespace lite { -STATUS TflitePowParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) { - MS_LOG(DEBUG) << "parse TflitePowParser"; - std::unique_ptr attr(new schema::PowerT()); - - attr->power = 0.0f; - attr->scale = 1.0f; - attr->shift = 0.0f; - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Power; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TflitePowParser("Pow", new TflitePowParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_pow_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_pow_parser.h deleted file mode 100644 index e3a6b07bf9..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_pow_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_POW_PARSER_H -#define PREDICT_TFLITE_POW_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TflitePowParser : public TfliteNodeParser { - public: - TflitePowParser() : TfliteNodeParser("Pow") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_POW_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_range_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_range_parser.cc index 4f8330c7bc..38216a911e 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_range_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_range_parser.cc @@ -27,16 +27,23 @@ STATUS TfliteRangeParser::Parse(const std::unique_ptr &tflite schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteRangeParser"; std::unique_ptr attr(new schema::RangeT()); attr->dType = 0; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Range; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Range; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_rank_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_rank_parser.cc index 002071d3e4..d66b5278dc 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_rank_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_rank_parser.cc @@ -27,14 +27,21 @@ STATUS TfliteRankParser::Parse(const std::unique_ptr &tfliteO schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteRankParser"; std::unique_ptr attr(new schema::RankT()); - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Rank; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Rank; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_real_div_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_real_div_parser.cc deleted file mode 100644 index 12dbd47878..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_real_div_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_real_div_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteRealDivParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "parse TfliteRealDivParser"; - std::unique_ptr attr(new schema::RealDivT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_RealDiv; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteRealDivParser("RealDiv", new TfliteRealDivParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_real_div_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_real_div_parser.h deleted file mode 100644 index 110e813d0e..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_real_div_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_REAL_DIV_PARSER_H -#define LITE_TFLITE_REAL_DIV_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteRealDivParser : public TfliteNodeParser { - public: - TfliteRealDivParser() : TfliteNodeParser("RealDiv") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_REAL_DIV_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_any_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_any_parser.cc deleted file mode 100644 index 98fae8209a..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_any_parser.cc +++ /dev/null @@ -1,56 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_reduce_any_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteReduceAnyParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteReduceAnyParser"; - std::unique_ptr attr(new schema::ReduceT()); - const auto &tflite_attr = tfliteOp->builtin_options.AsReducerOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name << " attr failed"; - return RET_NULL_PTR; - } - - attr->keepDims = tflite_attr->keep_dims; - // attr->mode = schema::; - MS_LOG(ERROR) << "ms-lite haven't supported REDUCE_ANY now"; - return RET_NOT_FIND_OP; - - if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->axes)) { - MS_LOG(ERROR) << "get reduce_any->axes failed"; - return RET_ERROR; - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Reduce; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteReduceAnyParser("ReduceAny", new TfliteReduceAnyParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_any_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_any_parser.h deleted file mode 100644 index daa9b84e0b..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_any_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_REDUCE_ANY_PARSER_H -#define PREDICT_TFLITE_REDUCE_ANY_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteReduceAnyParser : public TfliteNodeParser { - public: - TfliteReduceAnyParser() : TfliteNodeParser("ReduceAny") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_REDUCE_ANY_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_max_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_max_parser.cc deleted file mode 100644 index a7bf6ef101..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_max_parser.cc +++ /dev/null @@ -1,53 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_reduce_max_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteReduceMaxParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteReduceMaxParser"; - std::unique_ptr attr(new schema::ReduceT()); - const auto &tflite_attr = tfliteOp->builtin_options.AsReducerOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name << " attr failed"; - return RET_NULL_PTR; - } - - attr->mode = schema::ReduceMode_ReduceMax; - attr->keepDims = tflite_attr->keep_dims; - if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->axes)) { - MS_LOG(ERROR) << "get reduce_max -> axes failed"; - return RET_ERROR; - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Reduce; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteReduceMaxParser("ReduceMax", new TfliteReduceMaxParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_min_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_min_parser.cc deleted file mode 100644 index 6185b208ab..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_min_parser.cc +++ /dev/null @@ -1,53 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_reduce_min_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteReduceMinParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteReduceMinParser"; - std::unique_ptr attr(new schema::ReduceT()); - const auto &tflite_attr = tfliteOp->builtin_options.AsReducerOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name << " attr failed"; - return RET_NULL_PTR; - } - - attr->mode = schema::ReduceMode_ReduceMin; - attr->keepDims = tflite_attr->keep_dims; - if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->axes)) { - MS_LOG(ERROR) << "get reduce_min -> axes failed"; - return RET_ERROR; - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Reduce; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteReduceMinParser("ReduceMin", new TfliteReduceMinParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_min_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_min_parser.h deleted file mode 100644 index 38d6598c6a..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_min_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_REDUCE_MIN_PARSER_H -#define PREDICT_TFLITE_REDUCE_MIN_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteReduceMinParser : public TfliteNodeParser { - public: - TfliteReduceMinParser() : TfliteNodeParser("ReduceMin") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_REDUCE_MIN_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.cc new file mode 100644 index 0000000000..4472430e48 --- /dev/null +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.cc @@ -0,0 +1,93 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include +#include +#include +#include "tools/converter/parser/tflite/tflite_reduce_parser.h" + +namespace mindspore { +namespace lite { +STATUS TfliteReduceParser::Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::unique_ptr attr(new schema::ReduceT()); + + const auto &tflite_attr = tfliteOp->builtin_options.AsReducerOptions(); + if (tflite_attr == nullptr) { + MS_LOG(ERROR) << "get op: " << op->name << " attr failed"; + return RET_NULL_PTR; + } + attr->keepDims = tflite_attr->keep_dims; + + std::vector node_name_str; + Split(op->name.data(), &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + if (std::strcmp(node_name, "ReduceMax") == 0) { + MS_LOG(DEBUG) << "parse TfliteReduceMaxParser"; + attr->mode = schema::ReduceMode_ReduceMax; + } else if (std::strcmp(node_name, "ReduceMin") == 0) { + MS_LOG(DEBUG) << "parse TfliteReduceMinParser"; + attr->mode = schema::ReduceMode_ReduceMin; + } else if (std::strcmp(node_name, "ReduceProd") == 0) { + MS_LOG(DEBUG) << "parse TfliteReduceProdParser"; + attr->mode = schema::ReduceMode_ReduceProd; + } else if (std::strcmp(node_name, "Sum") == 0) { + MS_LOG(DEBUG) << "parse TfliteSumParser"; + attr->mode = schema::ReduceMode_ReduceSum; + } else if (std::strcmp(node_name, "Mean") == 0) { + MS_LOG(DEBUG) << "parse TfliteMeanParser"; + attr->mode = schema::ReduceMode_ReduceMean; + } else if (std::strcmp(node_name, "ReduceAny") == 0) { + // attr->mode; + MS_LOG(ERROR) << "ms-lite haven't supported REDUCE_ANY now"; + return RET_NOT_FIND_OP; + } else { + MS_LOG(ERROR) << "wrong reduce type"; + return RET_ERROR; + } + + if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->axes)) { + MS_LOG(ERROR) << "get reduce_prod -> axes failed"; + return RET_ERROR; + } + + op->primitive->value.type = schema::PrimitiveType_Reduce; + op->primitive->value.value = attr.release(); + return RET_OK; +} + +TfliteNodeRegister g_TfliteSumParser("Sum", new TfliteSumParser()); +TfliteNodeRegister g_TfliteMeanParser("Mean", new TfliteMeanParser()); +TfliteNodeRegister g_TfliteReduceMaxParser("ReduceMax", new TfliteReduceMaxParser()); +TfliteNodeRegister g_TfliteReduceMinParser("ReduceMin", new TfliteReduceMinParser()); +TfliteNodeRegister g_TfliteReduceProdParser("ReduceProd", new TfliteReduceProdParser()); +TfliteNodeRegister g_TfliteReduceAnyParser("ReduceAny", new TfliteReduceAnyParser()); + +} // namespace lite +} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_max_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.h similarity index 63% rename from mindspore/lite/tools/converter/parser/tflite/tflite_reduce_max_parser.h rename to mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.h index 9372b73584..628243881c 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_max_parser.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.h @@ -24,9 +24,9 @@ namespace mindspore { namespace lite { -class TfliteReduceMaxParser : public TfliteNodeParser { +class TfliteReduceParser : public TfliteNodeParser { public: - TfliteReduceMaxParser() : TfliteNodeParser("ReduceMax") {} + TfliteReduceParser() : TfliteNodeParser("node_name") {} STATUS Parse(const std::unique_ptr &tfliteOp, const std::vector> &tfliteTensors, @@ -35,6 +35,37 @@ class TfliteReduceMaxParser : public TfliteNodeParser { TensorCache *tensor_cache, bool quantizedModel) override; }; + +class TfliteReduceMaxParser : public TfliteReduceParser { + public: + TfliteReduceMaxParser() : TfliteReduceParser() {} +}; + +class TfliteReduceMinParser : public TfliteReduceParser { + public: + TfliteReduceMinParser() : TfliteReduceParser() {} +}; + +class TfliteReduceProdParser : public TfliteReduceParser { + public: + TfliteReduceProdParser() : TfliteReduceParser() {} +}; + +class TfliteSumParser : public TfliteReduceParser { + public: + TfliteSumParser() : TfliteReduceParser() {} +}; + +class TfliteMeanParser : public TfliteReduceParser { + public: + TfliteMeanParser() : TfliteReduceParser() {} +}; + +class TfliteReduceAnyParser : public TfliteReduceParser { + public: + TfliteReduceAnyParser() : TfliteReduceParser() {} +}; + } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_prod_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_prod_parser.cc deleted file mode 100644 index 457fcbd2a7..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_prod_parser.cc +++ /dev/null @@ -1,53 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_reduce_prod_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteReduceProdParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteReduceProdParser"; - std::unique_ptr attr(new schema::ReduceT()); - const auto &tflite_attr = tfliteOp->builtin_options.AsReducerOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name << " attr failed"; - return RET_NULL_PTR; - } - - attr->mode = schema::ReduceMode_ReduceProd; - attr->keepDims = tflite_attr->keep_dims; - if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->axes)) { - MS_LOG(ERROR) << "get reduce_prod -> axes failed"; - return RET_ERROR; - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Reduce; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteReduceProdParser("ReduceProd", new TfliteReduceProdParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_prod_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_prod_parser.h deleted file mode 100644 index cadfe9b707..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reduce_prod_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_REDUCE_PROD_PARSER_H -#define PREDICT_TFLITE_REDUCE_PROD_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteReduceProdParser : public TfliteNodeParser { - public: - TfliteReduceProdParser() : TfliteNodeParser("ReduceProd") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_REDUCE_PROD_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_relu6_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_relu6_parser.cc deleted file mode 100644 index 05106948f1..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_relu6_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_relu6_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteRelu6Parser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteRelu6Parser"; - std::unique_ptr attr(new schema::ActivationT()); - - attr->type = schema::ActivationType_RELU6; - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Activation; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteRelu6Parser("Relu6", new TfliteRelu6Parser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_relu6_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_relu6_parser.h deleted file mode 100644 index 3d1f84ff0c..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_relu6_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_RELU6_PARSER_H -#define PREDICT_TFLITE_RELU6_PARSER_H - -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" -#include -#include - -namespace mindspore { -namespace lite { -class TfliteRelu6Parser : public TfliteNodeParser { - public: - TfliteRelu6Parser() : TfliteNodeParser("Relu6") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_RELU6_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_relu_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_relu_parser.cc deleted file mode 100644 index 467cbe9714..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_relu_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_relu_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteReluParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteReluParser"; - std::unique_ptr attr(new schema::ActivationT()); - - attr->type = schema::ActivationType_RELU; - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Activation; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteReluParser("Relu", new TfliteReluParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_relu_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_relu_parser.h deleted file mode 100644 index 7b67e0c4ee..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_relu_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_RELU_PARSER_H -#define PREDICT_TFLITE_RELU_PARSER_H - -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" -#include -#include - -namespace mindspore { -namespace lite { -class TfliteReluParser : public TfliteNodeParser { - public: - TfliteReluParser() : TfliteNodeParser("Relu") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_RELU_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reshape_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_reshape_parser.cc index 9fdf2ba11c..c78c51f1bc 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reshape_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_reshape_parser.cc @@ -24,8 +24,17 @@ STATUS TfliteReshapeParser::Parse(const std::unique_ptr &tfli const std::vector> &tfliteTensors, const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) { + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteReshapeParser"; std::unique_ptr attr(new schema::ReshapeT()); @@ -42,7 +51,7 @@ STATUS TfliteReshapeParser::Parse(const std::unique_ptr &tfli return RET_NULL_PTR; } std::vector shape_tensors{shape_tensor.get()}; - if (RET_OK != ParseWeight(shape_tensors, tfliteModelBuffer, tensor_cache, schema::Format_KHWC)) { + if (RET_OK != ParseTensor(shape_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse shape tensor error"; return RET_ERROR; } @@ -54,11 +63,8 @@ STATUS TfliteReshapeParser::Parse(const std::unique_ptr &tfli } } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Reshape; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Reshape; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_bilinear_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_resize_bilinear_parser.cc deleted file mode 100644 index 4c86861de2..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_bilinear_parser.cc +++ /dev/null @@ -1,72 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_resize_bilinear_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteResizeBilinearParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteResizeBilinearParser"; - std::unique_ptr attr(new schema::ResizeT()); - - const auto &tfliteAttr = tfliteOp->builtin_options.AsResizeBilinearOptions(); - if (tfliteAttr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->alignCorners = tfliteAttr->align_corners; - - attr->format = schema::Format_NHWC; - attr->method = schema::ResizeMethod_BILINEAR; - attr->preserveAspectRatio = false; - - auto tfliteResizeTensorIndex = tfliteOp->inputs[1]; - const auto & shape_tensor = tfliteTensors[tfliteResizeTensorIndex]; - if (shape_tensor == nullptr) { - MS_LOG(ERROR) << "shape_tensor is null"; - return RET_NULL_PTR; - } - auto resizeTensorBufferIndex = shape_tensor->buffer; - const auto & buff = tfliteModelBuffer.at(resizeTensorBufferIndex); - if (buff == nullptr) { - MS_LOG(ERROR) << "buff_data is null"; - return RET_NULL_PTR; - } - auto buffData = reinterpret_cast(buff->data.data()); - auto height = buffData[0]; - auto width = buffData[1]; - attr->newWidth = width; - attr->newHeight = height; - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Resize; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteResizeBilinearParser("ResizeBilinear", new TfliteResizeBilinearParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.cc deleted file mode 100644 index 384e419f50..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.cc +++ /dev/null @@ -1,73 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteResizeNearestNeighborParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteResizeNearestNeighborParser"; - std::unique_ptr attr(new schema::ResizeT()); - - const auto &tfliteAttr = tfliteOp->builtin_options.AsResizeNearestNeighborOptions(); - if (tfliteAttr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->alignCorners = tfliteAttr->align_corners; - - attr->format = schema::Format_NHWC; - attr->method = schema::ResizeMethod_NEAREST_NEIGHBOR; - attr->preserveAspectRatio = false; - - auto tfliteResizeTensorIndex = tfliteOp->inputs[1]; - const auto & shape_tensor = tfliteTensors[tfliteResizeTensorIndex]; - if (shape_tensor == nullptr) { - MS_LOG(ERROR) << "shape_tensor is null"; - return RET_NULL_PTR; - } - auto resizeTensorBufferIndex = shape_tensor->buffer; - const auto & buff = tfliteModelBuffer.at(resizeTensorBufferIndex); - if (buff == nullptr) { - MS_LOG(ERROR) << "buff_data is null"; - return RET_NULL_PTR; - } - auto buffData = reinterpret_cast(buff->data.data()); - auto height = buffData[0]; - auto width = buffData[1]; - attr->newWidth = width; - attr->newHeight = height; - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Resize; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteResizeNearestNeighborParser("NearestNeighbor", - new TfliteResizeNearestNeighborParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.h deleted file mode 100644 index 4657a67d96..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_nearest_neighbor_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_RESIZE_NN_PARSER_H -#define PREDICT_TFLITE_RESIZE_NN_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteResizeNearestNeighborParser : public TfliteNodeParser { - public: - TfliteResizeNearestNeighborParser() : TfliteNodeParser("NearestNeighbor") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_RESIZE_NN_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.cc new file mode 100644 index 0000000000..4dfc27c32e --- /dev/null +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.cc @@ -0,0 +1,100 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include +#include +#include +#include "tools/converter/parser/tflite/tflite_resize_parser.h" + +namespace mindspore { +namespace lite { +STATUS TfliteResizeParser::Parse(const std::unique_ptr &tfliteOp, + const std::vector> &tfliteTensors, + const std::vector> &tfliteModelBuffer, + const std::vector> &tfliteOpSet, + schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + + std::unique_ptr attr(new schema::ResizeT()); + + std::vector node_name_str; + Split(op->name.data(), &node_name_str, "-"); + const char *node_name = node_name_str.data()->c_str(); + + if (std::strcmp(node_name, "ResizeBilinear") == 0) { + MS_LOG(DEBUG) << "parse TfliteResizeBilinearParser"; + const auto &tfliteAttr = tfliteOp->builtin_options.AsResizeBilinearOptions(); + if (tfliteAttr == nullptr) { + MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; + return RET_NULL_PTR; + } + attr->alignCorners = tfliteAttr->align_corners; + attr->method = schema::ResizeMethod_BILINEAR; + } else if (std::strcmp(node_name, "NearestNeighbor") == 0) { + MS_LOG(DEBUG) << "parse TfliteResizeNearestNeighborParser"; + const auto &tfliteAttr = tfliteOp->builtin_options.AsResizeNearestNeighborOptions(); + if (tfliteAttr == nullptr) { + MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; + return RET_NULL_PTR; + } + attr->alignCorners = tfliteAttr->align_corners; + attr->method = schema::ResizeMethod_NEAREST_NEIGHBOR; + } else { + MS_LOG(ERROR) << "wrong resize type"; + return RET_ERROR; + } + + attr->format = schema::Format_NHWC; + attr->preserveAspectRatio = false; + + auto tfliteResizeTensorIndex = tfliteOp->inputs[1]; + const auto & shape_tensor = tfliteTensors[tfliteResizeTensorIndex]; + if (shape_tensor == nullptr) { + MS_LOG(ERROR) << "shape_tensor is null"; + return RET_NULL_PTR; + } + auto resizeTensorBufferIndex = shape_tensor->buffer; + const auto & buff = tfliteModelBuffer.at(resizeTensorBufferIndex); + if (buff == nullptr) { + MS_LOG(ERROR) << "buff_data is null"; + return RET_NULL_PTR; + } + auto buffData = reinterpret_cast(buff->data.data()); + auto height = buffData[0]; + auto width = buffData[1]; + attr->newWidth = width; + attr->newHeight = height; + + op->primitive->value.type = schema::PrimitiveType_Resize; + op->primitive->value.value = attr.release(); + return RET_OK; +} + +TfliteNodeRegister g_tfliteResizeBilinearParser("ResizeBilinear", new TfliteResizeBilinearParser()); +TfliteNodeRegister g_tfliteResizeNearestNeighborParser("NearestNeighbor", + new TfliteResizeNearestNeighborParser()); +} // namespace lite +} // namespace mindspore + + diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_bilinear_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.h similarity index 74% rename from mindspore/lite/tools/converter/parser/tflite/tflite_resize_bilinear_parser.h rename to mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.h index bbe48edd51..779a1cf0cd 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_resize_bilinear_parser.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.h @@ -24,17 +24,27 @@ namespace mindspore { namespace lite { -class TfliteResizeBilinearParser : public TfliteNodeParser { +class TfliteResizeParser : public TfliteNodeParser { public: - TfliteResizeBilinearParser() : TfliteNodeParser("ResizeBilinear") {} + TfliteResizeParser() : TfliteNodeParser("node_name") {} STATUS Parse(const std::unique_ptr &tfliteOp, const std::vector> &tfliteTensors, const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; + TensorCache *tensor_cache, bool quantizedModel) override; }; + +class TfliteResizeBilinearParser : public TfliteResizeParser { + public: + TfliteResizeBilinearParser() : TfliteResizeParser() {} +}; + +class TfliteResizeNearestNeighborParser : public TfliteResizeParser { + public: + TfliteResizeNearestNeighborParser() : TfliteResizeParser() {} +}; + } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reverse_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_reverse_parser.cc index 8f5f368f8f..a1ddd7f13c 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reverse_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_reverse_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteReverseParser::Parse(const std::unique_ptr &tfli schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteReverseParser"; std::unique_ptr attr(new schema::ReverseT()); @@ -34,11 +44,8 @@ STATUS TfliteReverseParser::Parse(const std::unique_ptr &tfli return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Reverse; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Reverse; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_reverse_sequence_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_reverse_sequence_parser.cc index 7dcedbc168..867ca6bc77 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_reverse_sequence_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_reverse_sequence_parser.cc @@ -25,8 +25,17 @@ STATUS TfliteReverseSequenceParser::Parse(const std::unique_ptr> &tflite_tensors, const std::vector> &tflite_model_buffer, const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { + schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteReverseSequenceParser"; std::unique_ptr attr(new schema::ReverseSequenceT()); @@ -43,11 +52,8 @@ STATUS TfliteReverseSequenceParser::Parse(const std::unique_ptrprimitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_ReverseSequence; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_ReverseSequence; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_round_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_round_parser.cc deleted file mode 100644 index 3e385c8e44..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_round_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* distributed under the License is distributed on an AS -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#include -#include -#include "tools/converter/parser/tflite/tflite_round_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteRoundParser::Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, - schema::CNodeT *op, - TensorCache *tensor_cache, bool quantized_model) { - MS_LOG(DEBUG) << "parse TfliteRoundParser"; - std::unique_ptr attr(new schema::RoundT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Round; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteRoundParser("Round", new TfliteRoundParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_round_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_round_parser.h deleted file mode 100644 index 060f4d0991..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_round_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** -* Copyright 2020 Huawei Technologies Co., Ltd -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -#ifndef LITE_TFLITE_ROUND_PARSER_H -#define LITE_TFLITE_ROUND_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteRoundParser : public TfliteNodeParser { - public: - TfliteRoundParser() : TfliteNodeParser("Round") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_ROUND_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_rsqrt_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_rsqrt_parser.cc deleted file mode 100644 index 15eac6e874..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_rsqrt_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_rsqrt_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteRsqrtParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "paser TfliteRsqrtParser"; - std::unique_ptr attr(new schema::RsqrtT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Rsqrt; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteRsqrtParser("Rsqrt", new TfliteRsqrtParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_rsqrt_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_rsqrt_parser.h deleted file mode 100644 index 8a81b42f99..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_rsqrt_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_RSQRT_PARSER_H -#define PREDICT_TFLITE_RSQRT_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteRsqrtParser : public TfliteNodeParser { - public: - TfliteRsqrtParser() : TfliteNodeParser("Rsqrt") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_RSQRT_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_scatter_nd_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_scatter_nd_parser.cc index 62108b8a17..f1dac84959 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_scatter_nd_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_scatter_nd_parser.cc @@ -26,6 +26,16 @@ STATUS TfliteScatterNdParser::Parse(const std::unique_ptr &tf const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(INFO) << "parse TfliteScatterNdParser"; std::unique_ptr attr(new schema::ScatterNDT()); @@ -51,11 +61,8 @@ STATUS TfliteScatterNdParser::Parse(const std::unique_ptr &tf } */ - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_ScatterND; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_ScatterND; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_shape_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_shape_parser.cc index ac545ccceb..95163afde1 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_shape_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_shape_parser.cc @@ -25,14 +25,21 @@ STATUS TfliteShapeParser::Parse(const std::unique_ptr &tflite const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(INFO) << "parse TfliteShapeParser"; std::unique_ptr attr(new schema::ShapeT()); - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Shape; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Shape; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sin_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_sin_parser.cc deleted file mode 100644 index d02173496e..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sin_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_sin_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteSinParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteSinParser"; - std::unique_ptr attr(new schema::SinT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Sin; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteSinParser("Sin", new TfliteSinParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sin_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_sin_parser.h deleted file mode 100644 index 3b02203635..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sin_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_SIN_PARSER_H -#define PREDICT_TFLITE_SIN_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteSinParser : public TfliteNodeParser { - public: - TfliteSinParser() : TfliteNodeParser("Sin") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_SIN_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_slice_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_slice_parser.cc index ced928e48e..a18e624380 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_slice_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_slice_parser.cc @@ -26,6 +26,16 @@ STATUS TfliteSliceParser::Parse(const std::unique_ptr &tflite const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteSliceParser"; std::unique_ptr attr(new schema::SliceT()); @@ -38,11 +48,8 @@ STATUS TfliteSliceParser::Parse(const std::unique_ptr &tflite return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Slice; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Slice; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_softmax_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_softmax_parser.cc index c85b5515cf..87277a5872 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_softmax_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_softmax_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteSoftmaxParser::Parse(const std::unique_ptr &tfli const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteSoftmaxParser"; std::unique_ptr attr(new schema::SoftMaxT()); @@ -36,11 +46,8 @@ STATUS TfliteSoftmaxParser::Parse(const std::unique_ptr &tfli attr->axis = -1; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_SoftMax; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_SoftMax; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_space_to_batch_nd_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_space_to_batch_nd_parser.cc index 427e775bd2..9e3fd7db39 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_space_to_batch_nd_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_space_to_batch_nd_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteSpaceToBatchNDParser::Parse(const std::unique_ptr> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteSpaceToBatchNDParser"; std::unique_ptr attr(new schema::SpaceToBatchNDT()); @@ -39,11 +49,8 @@ STATUS TfliteSpaceToBatchNDParser::Parse(const std::unique_ptrprimitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_SpaceToBatchND; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_SpaceToBatchND; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_space_to_depth_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_space_to_depth_parser.cc index afefcc8101..19d33c1bfa 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_space_to_depth_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_space_to_depth_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteSpaceToDepthParser::Parse(const std::unique_ptr const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteSpaceToDepthParser"; std::unique_ptr attr(new schema::SpaceToDepthT()); @@ -39,11 +49,8 @@ STATUS TfliteSpaceToDepthParser::Parse(const std::unique_ptr attr->format = schema::Format_NHWC; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_SpaceToDepth; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_SpaceToDepth; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sparse_to_dense_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_sparse_to_dense_parser.cc index f579574caf..4a98f90d8f 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sparse_to_dense_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_sparse_to_dense_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteSparseToDenseParser::Parse(const std::unique_ptr const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteSparseToDenseParser"; std::unique_ptr attr(new schema::SparseToDenseT()); @@ -45,11 +55,8 @@ STATUS TfliteSparseToDenseParser::Parse(const std::unique_ptr return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_SparseToDense; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_SparseToDense; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_split_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_split_parser.cc index 946f81482d..9e90bbfa03 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_split_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_split_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteSplitParser::Parse(const std::unique_ptr &tflite schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(INFO) << "parse TfliteSplitParser"; std::unique_ptr attr(new schema::SplitT()); @@ -67,11 +77,8 @@ STATUS TfliteSplitParser::Parse(const std::unique_ptr &tflite attr->sizeSplits.push_back(tensor_shape[axis] / num_splits); } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Split; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Split; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_split_v_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_split_v_parser.cc index 214e32617d..0fdf4b3a3f 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_split_v_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_split_v_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteSplitVParser::Parse(const std::unique_ptr &tflit const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(INFO) << "parse TfliteSplitVParser"; std::unique_ptr attr(new schema::SplitT()); @@ -59,12 +69,10 @@ STATUS TfliteSplitVParser::Parse(const std::unique_ptr &tflit MS_LOG(ERROR) << "axis value too large"; return RET_ERROR; } + attr->splitDim = axis; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Split; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Split; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sqrt_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_sqrt_parser.cc deleted file mode 100644 index e27ebfd47a..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sqrt_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_sqrt_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteSqrtParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteSqrtParser"; - std::unique_ptr attr(new schema::SqrtT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Sqrt; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteSqrtParser("Sqrt", new TfliteSqrtParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sqrt_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_sqrt_parser.h deleted file mode 100644 index 0b0ce97b78..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sqrt_parser.h +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_SQRT_PARSER_H -#define PREDICT_TFLITE_SQRT_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteSqrtParser : public TfliteNodeParser { - public: - TfliteSqrtParser() : TfliteNodeParser("Sqrt") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_SQRT_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_square_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_square_parser.cc deleted file mode 100644 index e577ce5f9a..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_square_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_square_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteSquareParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteSquareParser"; - std::unique_ptr attr(new schema::SquareT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Square; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteSquareParser("Square", new TfliteSquareParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_square_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_square_parser.h deleted file mode 100644 index 7e349a6b89..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_square_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef LITE_TFLITE_SQUARE_PARSER_H -#define LITE_TFLITE_SQUARE_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteSquareParser : public TfliteNodeParser { - public: - TfliteSquareParser() : TfliteNodeParser("Square") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_SQUARE_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_squared_difference_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_squared_difference_parser.cc deleted file mode 100644 index 18488fb734..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_squared_difference_parser.cc +++ /dev/null @@ -1,41 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_squared_difference_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteSquaredDifferenceParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteSquaredDifferenceParser"; - std::unique_ptr attr(new schema::SquaredDifferenceT()); - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_SquaredDifference; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteSquaredDifferenceParser("SquaredDifference", new TfliteSquaredDifferenceParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_squared_difference_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_squared_difference_parser.h deleted file mode 100644 index 67dd05b109..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_squared_difference_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef LITE_TFLITE_SQUARED_DIFFERENCE_PARSER_H -#define LITE_TFLITE_SQUARED_DIFFERENCE_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteSquaredDifferenceParser : public TfliteNodeParser { - public: - TfliteSquaredDifferenceParser() : TfliteNodeParser("SquaredDifference") {} - - STATUS Parse(const std::unique_ptr &tflite_op, - const std::vector> &tflite_tensors, - const std::vector> &tflite_model_buffer, - const std::vector> &tflite_opset, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantized_model) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // LITE_TFLITE_SQUARED_DIFFERENCE_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_squeeze_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_squeeze_parser.cc index 521793c7f3..bd6ee5f641 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_squeeze_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_squeeze_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteSqueezeParser::Parse(const std::unique_ptr &tfli const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(INFO) << "parse TfliteSqueezeParser"; std::unique_ptr attr(new schema::SqueezeT()); @@ -35,11 +45,8 @@ STATUS TfliteSqueezeParser::Parse(const std::unique_ptr &tfli } attr->axis = tflite_attr->squeeze_dims; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Squeeze; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Squeeze; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_stack_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_stack_parser.cc index 13dbb78375..b6b7da18b1 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_stack_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_stack_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteStackParser::Parse(const std::unique_ptr &tflite const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteStackParser"; std::unique_ptr attr(new schema::StackT()); const auto &tflite_attr = tfliteOp->builtin_options.AsPackOptions(); @@ -38,11 +48,8 @@ STATUS TfliteStackParser::Parse(const std::unique_ptr &tflite attr->isScale.assign(tfliteTensors[tfliteOp->inputs[0]]->shape.begin(), tfliteTensors[tfliteOp->inputs[0]]->shape.end()); - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Stack; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Stack; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_strided_slice_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_strided_slice_parser.cc index 44843a550f..04f33beb16 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_strided_slice_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_strided_slice_parser.cc @@ -26,6 +26,16 @@ STATUS TfliteStridedSliceParser::Parse(const std::unique_ptr const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteStridedSliceParser"; std::unique_ptr attr(new schema::StridedSliceT()); const auto &tflite_attr = tflite_op->builtin_options.AsStridedSliceOptions(); @@ -55,11 +65,8 @@ STATUS TfliteStridedSliceParser::Parse(const std::unique_ptr attr->isScale.assign(tflite_tensors[tflite_op->inputs[0]]->shape.begin(), tflite_tensors[tflite_op->inputs[0]]->shape.end()); - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_StridedSlice; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_StridedSlice; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sub_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_sub_parser.cc deleted file mode 100644 index 4748e83983..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sub_parser.cc +++ /dev/null @@ -1,90 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "tools/converter/parser/tflite/tflite_sub_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteSubParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteSubParser"; - std::unique_ptr attr(new schema::SubT()); - - const auto &tfliteAttr = tfliteOp->builtin_options.AsSubOptions(); - if (nullptr == tfliteAttr) { - MS_LOG(ERROR) << "get op: " << op->name.c_str() << " attr failed"; - return RET_NULL_PTR; - } - attr->activationType = GetActivationFunctionType(tfliteAttr->fused_activation_function); - - auto x_index = tfliteOp->inputs[0]; - const auto &x_tensor = tfliteTensors[x_index]; - if (x_tensor == nullptr) { - MS_LOG(ERROR) << "the first input is null"; - return RET_NULL_PTR; - } - auto &x_data = tfliteModelBuffer.at(x_tensor->buffer); - if (x_data == nullptr) { - MS_LOG(ERROR) << "the data of the first input is null"; - return RET_NULL_PTR; - } - if (x_data->data.size() > 0) { - std::vector x_tensors{x_tensor.get()}; - if (RET_OK != ParseTensor(x_tensors, tfliteModelBuffer, tensor_cache, TF_CONST, true)) { - MS_LOG(ERROR) << "parse the first tensor failed"; - return RET_ERROR; - } - } - - auto y_index = tfliteOp->inputs[1]; - const auto &y_tensor = tfliteTensors[y_index]; - if (y_tensor == nullptr) { - MS_LOG(ERROR) << "the second input is null"; - return RET_NULL_PTR; - } - auto &y_data = tfliteModelBuffer.at(y_tensor->buffer); - if (y_data == nullptr) { - MS_LOG(ERROR) << "the data of the second input is null"; - return RET_NULL_PTR; - } - if (y_data->data.size() > 0) { - std::vector y_tensors{y_tensor.get()}; - if (RET_OK != ParseTensor(y_tensors, tfliteModelBuffer, tensor_cache, TF_CONST, true)) { - MS_LOG(ERROR) << "parse the second tensor failed"; - return RET_ERROR; - } - } - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Sub; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_tfliteSubParser("Sub", new TfliteSubParser()); -} // namespace lite -} // namespace mindspore - - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sub_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_sub_parser.h deleted file mode 100644 index f84c30c781..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sub_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_SUB_PARSER_H -#define PREDICT_TFLITE_SUB_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteSubParser : public TfliteNodeParser { - public: - TfliteSubParser() : TfliteNodeParser("Sub") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_SUB_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.cc deleted file mode 100644 index 0ee5fb7ce3..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.cc +++ /dev/null @@ -1,54 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include -#include -#include "mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.h" - -namespace mindspore { -namespace lite { -STATUS TfliteSumParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(INFO) << "parse TfliteSumParser"; - std::unique_ptr attr(new schema::ReduceT()); - - const auto &tflite_attr = tfliteOp->builtin_options.AsReducerOptions(); - if (tflite_attr == nullptr) { - MS_LOG(ERROR) << "get op: " << op->name << " attr failed"; - return RET_NULL_PTR; - } - attr->keepDims = tflite_attr->keep_dims; - - attr->mode = schema::ReduceMode_ReduceSum; - - if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->axes)) { - MS_LOG(ERROR) << "get sum -> axes failed"; - return RET_ERROR; - } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Reduce; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteSumParser("Sum", new TfliteSumParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.h deleted file mode 100644 index 6457be43f1..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_sum_parser.h +++ /dev/null @@ -1,40 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_SUM_PARSER_H -#define PREDICT_TFLITE_SUM_PARSER_H - -#include -#include -#include "mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.h" -#include "mindspore/lite/tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteSumParser : public TfliteNodeParser { - public: - TfliteSumParser() : TfliteNodeParser("Sum") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_SUM_PARSER_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_tanh_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_tanh_parser.cc deleted file mode 100644 index 1991cfad01..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_tanh_parser.cc +++ /dev/null @@ -1,43 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "tools/converter/parser/tflite/tflite_tanh_parser.h" -#include -#include - -namespace mindspore { -namespace lite { -STATUS TfliteTanhParser::Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, - schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { - MS_LOG(DEBUG) << "parse TfliteTanhParser"; - std::unique_ptr attr(new schema::ActivationT()); - - attr->type = schema::ActivationType_TANH; - - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Activation; - op->primitive->value.value = attr.release(); - } - return RET_OK; -} - -TfliteNodeRegister g_TfliteTanhParser("Tanh", new TfliteTanhParser()); -} // namespace lite -} // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_tanh_parser.h b/mindspore/lite/tools/converter/parser/tflite/tflite_tanh_parser.h deleted file mode 100644 index 38a003d87a..0000000000 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_tanh_parser.h +++ /dev/null @@ -1,42 +0,0 @@ -/** - * Copyright 2020 Huawei Technologies Co., Ltd - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#ifndef PREDICT_TFLITE_TANH_PARSER_H -#define PREDICT_TFLITE_TANH_PARSER_H - -#include -#include -#include "tools/converter/parser/tflite/tflite_node_parser.h" -#include "tools/converter/parser/tflite/tflite_node_parser_registry.h" - -namespace mindspore { -namespace lite { -class TfliteTanhParser : public TfliteNodeParser { - public: - TfliteTanhParser() : TfliteNodeParser("Tanh") {} - - STATUS Parse(const std::unique_ptr &tfliteOp, - const std::vector> &tfliteTensors, - const std::vector> &tfliteModelBuffer, - const std::vector> &tfliteOpSet, schema::CNodeT *op, - TensorCache *tensor_cache, - bool quantizedModel) override; -}; -} // namespace lite -} // namespace mindspore - -#endif // PREDICT_TFLITE_TANH_PARSER_H - diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_tile_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_tile_parser.cc index b0ce2de061..c73477ef3f 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_tile_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_tile_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteTileParser::Parse(const std::unique_ptr &tflite_ const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteTileParser"; std::unique_ptr attr(new schema::TileT()); @@ -35,11 +45,8 @@ STATUS TfliteTileParser::Parse(const std::unique_ptr &tflite_ return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Tile; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Tile; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_topk_v2_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_topk_v2_parser.cc index a9c285ace1..cd55c852b4 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_topk_v2_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_topk_v2_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteTopKV2Parser::Parse(const std::unique_ptr &tflit const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteTopKV2Parser"; std::unique_ptr attr(new schema::TopKV2T()); @@ -35,11 +45,8 @@ STATUS TfliteTopKV2Parser::Parse(const std::unique_ptr &tflit return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_TopKV2; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_TopKV2; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_transpose_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_transpose_parser.cc index 349dd921a0..cf11963fba 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_transpose_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_transpose_parser.cc @@ -25,6 +25,16 @@ STATUS TfliteTransposeParser::Parse(const std::unique_ptr &tf const std::vector> &tfliteModelBuffer, const std::vector> &tfliteOpSet, schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteTransposeParser"; std::unique_ptr attr(new schema::TransposeT()); @@ -40,16 +50,13 @@ STATUS TfliteTransposeParser::Parse(const std::unique_ptr &tf return RET_ERROR; } std::vector weight_tensors{weight_tensor.get()}; - if (RET_OK != ParseWeight(weight_tensors, tfliteModelBuffer, tensor_cache, schema::Format_KHWC)) { + if (RET_OK != ParseTensor(weight_tensors, tfliteModelBuffer, tensor_cache, TF_CONST)) { MS_LOG(ERROR) << "parse weight failed"; return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Transpose; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Transpose; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_unique_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_unique_parser.cc index 70405ec766..6860c01bab 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_unique_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_unique_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteUniqueParser::Parse(const std::unique_ptr &tflit const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteUniqueParser"; std::unique_ptr attr(new schema::UniqueT()); @@ -38,11 +48,8 @@ STATUS TfliteUniqueParser::Parse(const std::unique_ptr &tflit attr->outType = dtype_map[tflite_attr->idx_out_type]; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Unique; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Unique; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_unstack_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_unstack_parser.cc index dc94140e32..a2ea8b5a6b 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_unstack_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_unstack_parser.cc @@ -26,6 +26,16 @@ STATUS TfliteUnstackParser::Parse(const std::unique_ptr &tfli const std::vector> &tflite_model_buffer, const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "paser TfliteUnstackParser"; std::unique_ptr attr(new schema::UnstackT()); @@ -37,11 +47,8 @@ STATUS TfliteUnstackParser::Parse(const std::unique_ptr &tfli attr->num = tflite_attr->num; attr->axis = tflite_attr->axis; - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Unstack; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Unstack; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_util.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_util.cc index 0ead307e90..08d7a8932a 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_util.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_util.cc @@ -17,7 +17,9 @@ #include "tools/converter/parser/tflite/tflite_util.h" #include #include +#include #include "utils/log_adapter.h" +#include "include/errorcode.h" namespace mindspore { namespace lite { @@ -25,6 +27,7 @@ std::map tfMsActivationF {tflite::ActivationFunctionType_NONE, schema::ActivationType_NO_ACTIVATION}, {tflite::ActivationFunctionType_RELU, schema::ActivationType_RELU}, {tflite::ActivationFunctionType_RELU6, schema::ActivationType_RELU6}, + {tflite::ActivationFunctionType_TANH, schema::ActivationType_TANH}, }; schema::ActivationType GetActivationFunctionType(tflite::ActivationFunctionType tfliteAFType) { @@ -64,7 +67,7 @@ std::map tfMsOpTypeMap{ {tflite::BuiltinOperator_POW, "Pow"}, {tflite::BuiltinOperator_ARG_MIN, "Argmin"}, {tflite::BuiltinOperator_CEIL, "Ceil"}, - {tflite::BuiltinOperator_EXPAND_DIMS, "ExpandDims"}, + // {tflite::BuiltinOperator_EXPAND_DIMS, "ExpandDims"}, {tflite::BuiltinOperator_FILL, "Fill"}, {tflite::BuiltinOperator_DIV, "Div"}, {tflite::BuiltinOperator_FLOOR, "flOOR"}, @@ -136,9 +139,12 @@ std::string GetMSOpType(tflite::BuiltinOperator tfliteOpType) { } std::map type_map = { - {tflite::TensorType_FLOAT32, TypeId::kNumberTypeFloat32}, {tflite::TensorType_FLOAT16, TypeId::kNumberTypeFloat16}, - {tflite::TensorType_INT32, TypeId::kNumberTypeInt32}, {tflite::TensorType_UINT8, TypeId::kNumberTypeUInt8}, + {tflite::TensorType_FLOAT32, TypeId::kNumberTypeFloat32}, + {tflite::TensorType_FLOAT16, TypeId::kNumberTypeFloat16}, + {tflite::TensorType_INT32, TypeId::kNumberTypeInt32}, + {tflite::TensorType_UINT8, TypeId::kNumberTypeUInt8}, {tflite::TensorType_INT16, TypeId::kNumberTypeInt16}, + {tflite::TensorType_INT8, TypeId::kNumberTypeInt8}, }; TypeId GetTfliteDataType(const tflite::TensorType &tflite_data_type) { @@ -175,7 +181,21 @@ size_t GetDataTypeSize(const TypeId &data_type) { return sizeof(uint32_t); default: MS_LOG(ERROR) << "unsupport datatype"; + return RET_ERROR; } } + +void Split(const std::string &src_str, std::vector *dst_str, const std::string &chr) { + std::string ::size_type p1 = 0, p2 = src_str.find(chr); + while (std::string::npos != p2) { + dst_str->push_back(src_str.substr(p1, p2 - p1)); + p1 = p2 + chr.size(); + p2 = src_str.find(chr, p1); + } + if (p1 != src_str.length()) { + dst_str->push_back(src_str.substr(p1)); + } +} + } // namespace lite } // namespace mindspore diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_util.h b/mindspore/lite/tools/converter/parser/tflite/tflite_util.h index 3598c2f3a2..ee78e96a36 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_util.h +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_util.h @@ -14,19 +14,17 @@ * limitations under the License. */ -#ifndef MS_TFLITE_UTIL_H -#define MS_TFLITE_UTIL_H - +#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_UTIL_H +#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_UTIL_H #include +#include #include "utils/log_adapter.h" #include "schema/inner/model_generated.h" #include "tools/converter/parser/tflite/schema_generated.h" #include "schema/inner/ops_generated.h" #include "ir/dtype/type_id.h" -// using namespace std; - namespace mindspore { namespace lite { schema::PadMode GetPadMode(tflite::Padding tflite_padmode); @@ -38,8 +36,10 @@ schema::ActivationType GetActivationFunctionType(tflite::ActivationFunctionType std::string GetMSOpType(tflite::BuiltinOperator tfliteOpType); TypeId GetTfliteDataType(const tflite::TensorType &tflite_data_type); + +void Split(const std::string &src_str, std::vector *dst_str, const std::string &chr); } // namespace lite } // namespace mindspore -#endif // MS_TFLITE_UTIL_H +#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TFLITE_UTIL_H diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_where_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_where_parser.cc index 0476a4ab32..d13b35a6d5 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_where_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_where_parser.cc @@ -27,6 +27,16 @@ STATUS TfliteWhereParser::Parse(const std::unique_ptr &tflite const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteWhereParser"; std::unique_ptr attr(new schema::WhereT()); @@ -35,11 +45,8 @@ STATUS TfliteWhereParser::Parse(const std::unique_ptr &tflite return RET_ERROR; } - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_Where; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_Where; + op->primitive->value.value = attr.release(); return RET_OK; } diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_zeros_like_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_zeros_like_parser.cc index 1393ab5701..fb88ba965b 100644 --- a/mindspore/lite/tools/converter/parser/tflite/tflite_zeros_like_parser.cc +++ b/mindspore/lite/tools/converter/parser/tflite/tflite_zeros_like_parser.cc @@ -27,14 +27,21 @@ STATUS TfliteZerosLikeParser::Parse(const std::unique_ptr &tf const std::vector> &tflite_opset, schema::CNodeT *op, TensorCache *tensor_cache, bool quantized_model) { + if (op == nullptr) { + MS_LOG(ERROR) << "op is null"; + return RET_NULL_PTR; + } + op->primitive = std::make_unique(); + if (op->primitive == nullptr) { + MS_LOG(ERROR) << "op->primitive is null"; + return RET_NULL_PTR; + } + MS_LOG(DEBUG) << "parse TfliteZerosLikeParser"; std::unique_ptr attr(new schema::ZerosLikeT()); - if (op != nullptr) { - op->primitive = std::make_unique(); - op->primitive->value.type = schema::PrimitiveType_ZerosLike; - op->primitive->value.value = attr.release(); - } + op->primitive->value.type = schema::PrimitiveType_ZerosLike; + op->primitive->value.value = attr.release(); return RET_OK; }