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Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into fix_bug_for_lstmp

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test=develop
revert-15774-anakin_subgraph_engine
xuezhong 6 years ago
parent fb9a6a2bc6 f4a0e68481
commit 58101e6d4d
11 changed files with 135 additions and 111 deletions
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21
paddle/fluid/framework/CMakeLists.txt
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@ -158,18 +158,19 @@ cc_library(variable_helper SRCS variable_helper.cc DEPS lod_tensor)
cc_library(naive_executor SRCS naive_executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method graph_to_program_pass variable_helper)
if(WITH_DISTRIBUTE)
cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog
lod_rank_table feed_fetch_method sendrecvop_rpc ${GLOB_DISTRIBUTE_DEPS} graph_to_program_pass variable_helper)
if(WITH_NGRAPH)
set(NGRAPH_EXE_DEPS ngraph_engine)
else()
set(NGRAPH_EXE_DEPS)
endif()
set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
set_source_files_properties(executor.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
if(WITH_DISTRIBUTE)
cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog
lod_rank_table feed_fetch_method sendrecvop_rpc ${GLOB_DISTRIBUTE_DEPS} graph_to_program_pass variable_helper ${NGRAPH_EXE_DEPS})
set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
set_source_files_properties(executor.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
else()
if (WITH_NGRAPH)
cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method graph_to_program_pass variable_helper ngraph_engine)
else ()
cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method graph_to_program_pass variable_helper)
endif()
cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method graph_to_program_pass variable_helper ${NGRAPH_EXE_DEPS})
cc_test(test_naive_executor SRCS naive_executor_test.cc DEPS naive_executor elementwise_add_op)
endif()

4
paddle/fluid/inference/api/CMakeLists.txt
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@ -52,8 +52,8 @@ cc_test(test_analysis_predictor SRCS analysis_predictor_tester.cc DEPS analysis_
if (WITH_ANAKIN AND WITH_MKL) # only needed in CI
# compile the libinference_anakin_api.a and anakin.so.
cc_library(inference_anakin_api SRCS api.cc api_anakin_engine.cc DEPS anakin_shared anakin_saber mklml zero_copy_tensor_dummy)
cc_library(inference_anakin_api_shared SHARED SRCS api.cc api_anakin_engine.cc DEPS anakin_shared anakin_saber zero_copy_tensor_dummy)
cc_library(inference_anakin_api SRCS api.cc api_anakin_engine.cc DEPS anakin_shared anakin_saber mklml zero_copy_tensor_dummy device_context)
cc_library(inference_anakin_api_shared SHARED SRCS api.cc api_anakin_engine.cc DEPS anakin_shared anakin_saber zero_copy_tensor_dummy device_context)
function(anakin_target target_name)
target_compile_options(${target_name} BEFORE PUBLIC ${ANAKIN_COMPILE_EXTRA_FLAGS})
endfunction()

2
paddle/fluid/operators/ngraph/ngraph_engine_op.h
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@ -35,7 +35,7 @@ class NgraphEngineOp : public framework::OperatorWithKernel {
framework::OpKernelType GetExpectedKernelType(
const framework::ExecutionContext& ctx) const override {
framework::OpKernelType kt = framework::OpKernelType(
framework::proto::VarType::FP32, ctx.GetPlace());
framework::proto::VarType::FP32, platform::CPUPlace());
return kt;
}
};

31
python/paddle/fluid/tests/unittests/ngraph/test_accuracy_ngraph_op.py
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@ -16,14 +16,37 @@ from __future__ import print_function
import unittest
import numpy as np
import paddle.fluid.core as core
from paddle.fluid.tests.unittests.op_test import OpTest
from paddle.fluid.tests.unittests.test_accuracy_op import TestAccuracyOp
class TestNGRAPHAccuracyOp(TestAccuracyOp):
class TestNGRAPHAccuracyOp(OpTest):
def setUp(self):
super(TestNGRAPHAccuracyOp, self).setUp()
self.op_type = "accuracy"
self.dtype = np.float32
self.init_dtype()
n = 128
infer = np.random.random((n, 1)).astype(self.dtype)
indices = np.random.randint(0, 2, (n, 1))
label = np.random.randint(0, 2, (n, 1))
self.inputs = {'Out': infer, 'Indices': indices, "Label": label}
num_correct = 0
for rowid in range(n):
for ele in indices[rowid]:
if ele == label[rowid]:
num_correct += 1
break
self.outputs = {
'Accuracy': np.array([num_correct / float(n)]).astype(self.dtype),
'Correct': np.array([num_correct]).astype("int64"),
'Total': np.array([n]).astype("int64")
}
self._cpu_only = True
def init_dtype(self):
pass
def test_check_output(self):
self.check_output()
if __name__ == '__main__':

26
python/paddle/fluid/tests/unittests/ngraph/test_conv2d_ngraph_op.py
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@ -15,35 +15,59 @@
from __future__ import print_function
import unittest
from paddle.fluid.tests.unittests.test_conv2d_op import *
from paddle.fluid.tests.unittests.test_conv2d_op import TestConv2dOp, TestWithPad, TestWithStride, TestWithGroup, TestWith1x1, TestWithInput1x1Filter1x1
class TestNGRAPH(TestConv2dOp):
def setUp(self):
super(TestNGRAPH, self).setUp()
self._cpu_only = True
def init_kernel_type(self):
super(TestNGRAPH, self).init_kernel_type()
class TestNGRAPHWithPad(TestWithPad):
def setUp(self):
super(TestNGRAPHWithPad, self).setUp()
self._cpu_only = True
def init_kernel_type(self):
super(TestNGRAPHWithPad, self).init_kernel_type()
class TestNGRAPHWithStride(TestWithStride):
def setUp(self):
super(TestNGRAPHWithStride, self).setUp()
self._cpu_only = True
def init_kernel_type(self):
super(TestNGRAPHWithStride, self).init_kernel_type()
class TestNGRAPHWithGroup(TestWithGroup):
def setUp(self):
super(TestNGRAPHWithGroup, self).setUp()
self._cpu_only = True
def init_kernel_type(self):
super(TestNGRAPHWithGroup, self).init_kernel_type()
class TestNGRAPHWith1x1(TestWith1x1):
def setUp(self):
super(TestNGRAPHWith1x1, self).setUp()
self._cpu_only = True
def init_kernel_type(self):
super(TestNGRAPHWith1x1, self).init_kernel_type()
class TestNGRAPHWithInput1x1Filter1x1(TestWithInput1x1Filter1x1):
def setUp(self):
super(TestNGRAPHWithInput1x1Filter1x1, self).setUp()
self._cpu_only = True
def init_kernel_type(self):
super(TestNGRAPHWithInput1x1Filter1x1, self).init_kernel_type()

67
python/paddle/fluid/tests/unittests/ngraph/test_elementwise_add_ngraph_op.py
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@ -14,73 +14,16 @@
from __future__ import print_function
import unittest
from paddle.fluid.tests.unittests.test_elementwise_add_op import *
from paddle.fluid.tests.unittests.test_elementwise_add_op import TestElementwiseAddOp
class TestNGRAPHElementwiseAddOp(TestElementwiseAddOp):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp, self).init_input_output()
class TestNGRAPHElementwiseAddOp_scalar(TestElementwiseAddOp_scalar):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_scalar, self).init_input_output()
class TestNGRAPHElementwiseAddOp_scalar2(TestElementwiseAddOp_scalar2):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_scalar2, self).init_input_output()
class TestNGRAPHElementwiseAddOp_Vector(TestElementwiseAddOp_Vector):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_Vector, self).init_input_output()
class TesNGRAPHtElementwiseAddOp_broadcast_0(TestElementwiseAddOp_broadcast_0):
def init_input_output(self):
super(TesNGRAPHtElementwiseAddOp_broadcast_0, self).init_input_output()
class TestNGRAPHElementwiseAddOp_broadcast_1(TestElementwiseAddOp_broadcast_1):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_broadcast_1, self).init_input_output()
def setUp(self):
super(TestNGRAPHElementwiseAddOp, self).setUp()
self._cpu_only = True
class TestNGRAPHElementwiseAddOp_broadcast_2(TestElementwiseAddOp_broadcast_2):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_broadcast_2, self).init_input_output()
class TestNGRAPHElementwiseAddOp_broadcast_3(TestElementwiseAddOp_broadcast_3):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_broadcast_3, self).init_input_output()
class TestNGRAPHElementwiseAddOp_broadcast_4(TestElementwiseAddOp_broadcast_4):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_broadcast_4, self).init_input_output()
class TestNGRAPHElementwiseAddOp_rowwise_add_0(
TestElementwiseAddOp_rowwise_add_0):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_rowwise_add_0,
self).init_input_output()
class TestNGRAPHElementwiseAddOp_rowwise_add_1(
TestElementwiseAddOp_rowwise_add_1):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_rowwise_add_1,
self).init_input_output()
class TestNGRAPHElementwiseAddOp_channelwise_add(
TestElementwiseAddOp_channelwise_add):
def init_input_output(self):
super(TestNGRAPHElementwiseAddOp_channelwise_add,
self).init_input_output()
super(TestNGRAPHElementwiseAddOp, self).init_input_output()
if __name__ == '__main__':

8
python/paddle/fluid/tests/unittests/ngraph/test_mean_ngraph_op.py
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@ -14,17 +14,13 @@
from __future__ import print_function
import unittest
from paddle.fluid.tests.unittests.test_mean_op import TestMeanOp, TestFP16MeanOp
from paddle.fluid.tests.unittests.test_mean_op import TestMeanOp
class TestNGRAPHMeanOp(TestMeanOp):
def setUp(self):
super(TestNGRAPHMeanOp, self).setUp()
class TestNGRAPHFP16MeanOp(TestFP16MeanOp):
def setUp(self):
super(TestNGRAPHFP16MeanOp, self).setUp()
self._cpu_only = True
if __name__ == "__main__":

39
python/paddle/fluid/tests/unittests/ngraph/test_mul_ngraph_op.py
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@ -15,27 +15,38 @@
from __future__ import print_function
import unittest
from paddle.fluid.tests.unittests.test_mul_op import TestMulOp, TestMulOp2, TestFP16MulOp1, TestFP16MulOp2
import numpy as np
from paddle.fluid.tests.unittests.op_test import OpTest
class TestNGRAPHMulOp(OpTest):
def setUp(self):
self.op_type = "mul"
self.dtype = np.float32
self.init_dtype_type()
self.inputs = {
'X': np.random.random((2, 4)).astype(self.dtype),
'Y': np.random.random((4, 4)).astype(self.dtype)
}
self.outputs = {'Out': np.dot(self.inputs['X'], self.inputs['Y'])}
self._cpu_only = True
class TestNGRAPHMulOp(TestMulOp):
def init_dtype_type(self):
pass
def test_check_output(self):
self.check_output()
class TestNGRAPHMulOp2(TestMulOp2):
def init_dtype_type(self):
pass
def test_check_grad_normal(self):
self.check_grad(['X', 'Y'], 'Out', max_relative_error=0.5)
def test_check_grad_ingore_x(self):
self.check_grad(
['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X"))
class TestNGRAPHFP16MulOp1(TestFP16MulOp1):
def init_dtype_type(self):
pass
class TestNGRAPHFP16MulOp2(TestFP16MulOp2):
def init_dtype_type(self):
pass
def test_check_grad_ingore_y(self):
self.check_grad(
['X'], 'Out', max_relative_error=0.5, no_grad_set=set('Y'))
if __name__ == "__main__":

26
python/paddle/fluid/tests/unittests/ngraph/test_pool2d_ngraph_op.py
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@ -14,35 +14,59 @@
from __future__ import print_function
from paddle.fluid.tests.unittests.test_pool2d_op import *
from paddle.fluid.tests.unittests.test_pool2d_op import TestPool2D_Op, TestCase1, TestCase2, TestCase3, TestCase4, TestCase5
class TestNGRAPHPool2D_Op(TestPool2D_Op):
def setUp(self):
super(TestNGRAPHPool2D_Op, self).setUp()
self._cpu_only = True
def init_test_case(self):
super(TestNGRAPHPool2D_Op, self).init_test_case()
class TestNGRAPHCase1(TestCase1):
def setUp(self):
super(TestNGRAPHCase1, self).setUp()
self._cpu_only = True
def init_test_case(self):
super(TestNGRAPHCase1, self).init_test_case()
class TestNGRAPHCase2(TestCase2):
def setUp(self):
super(TestNGRAPHCase2, self).setUp()
self._cpu_only = True
def init_test_case(self):
super(TestNGRAPHCase2, self).init_test_case()
class TestNGRAPHCase3(TestCase3):
def setUp(self):
super(TestNGRAPHCase3, self).setUp()
self._cpu_only = True
def init_pool_type(self):
super(TestNGRAPHCase3, self).init_pool_type()
class TestNGRAPHCase4(TestCase4):
def setUp(self):
super(TestNGRAPHCase4, self).setUp()
self._cpu_only = True
def init_pool_type(self):
super(TestNGRAPHCase4, self).init_pool_type()
class TestNGRAPHCase5(TestCase5):
def setUp(self):
super(TestNGRAPHCase5, self).setUp()
self._cpu_only = True
def init_pool_type(self):
super(TestNGRAPHCase5, self).init_pool_type()

18
python/paddle/fluid/tests/unittests/ngraph/test_scale_ngraph_op.py
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@ -13,25 +13,23 @@
# limitations under the License.
from __future__ import print_function
import unittest
from paddle.fluid.tests.unittests.test_scale_op import TestScaleOp, TestScaleOpSelectedRows, TestScaleFp16Op, TestScaleFp16OpSelectedRows
from paddle.fluid.tests.unittests.test_scale_op import TestScaleOp, TestScaleOpSelectedRows
class TestNGRAPHScaleOp(TestScaleOp):
def init_dtype_type(self):
pass
def setUp(self):
super(TestNGRAPHScaleOp, self).setUp()
self._cpu_only = True
class TestNGRAPHScaleOpSelectedRows(TestScaleOpSelectedRows):
def init_dtype_type(self):
pass
class TestNGRAPHScaleFp16Op(TestScaleFp16Op):
def init_dtype_type(self):
pass
class TestNGRAPHScaleOpSelectedRows(TestScaleOpSelectedRows):
def setUp(self):
super(TestNGRAPHScaleOpSelectedRows, self).setUp()
self._cpu_only = True
class TestNGRAPHScaleFp16OpSelectedRows(TestScaleFp16OpSelectedRows):
def init_dtype_type(self):
pass

4
python/paddle/fluid/tests/unittests/ngraph/test_top_k_ngraph_op.py
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@ -20,21 +20,25 @@ from paddle.fluid.tests.unittests.test_top_k_op import TestTopkOp, TestTopkOp3d,
class TestNGRAPHTopkOp(TestTopkOp):
def setUp(self):
super(TestNGRAPHTopkOp, self).setUp()
self._cpu_only = True
class TestNGRAPHTopkOp2(TestTopkOp2):
def setUp(self):
super(TestNGRAPHTopkOp2, self).setUp()
self._cpu_only = True
class TestNGRAPHTopkOp3(TestTopkOp3):
def setUp(self):
super(TestNGRAPHTopkOp3, self).setUp()
self._cpu_only = True
class TestNGRAPHTopkOp4(TestTopkOp4):
def setUp(self):
super(TestNGRAPHTopkOp4, self).setUp()
self._cpu_only = True
if __name__ == "__main__":

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