sneaxiy
6 years ago
parent
ed61d67c73
commit
2c836ff914
@ -0,0 +1,110 @@
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abs
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acos
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asin
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atan
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attention_lstm
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bilinear_interp
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bilinear_tensor_product
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bpr_loss
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brelu
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conv_shift
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cos
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cos_sim
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dequantize
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elementwise_div
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elementwise_max
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elementwise_min
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elu
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fc
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flatten
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fsp
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fused_embedding_fc_lstm
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fused_embedding_seq_pool
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fusion_gru
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fusion_lstm
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fusion_repeated_fc_relu
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fusion_seqconv_eltadd_relu
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fusion_seqexpand_concat_fc
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fusion_seqpool_concat
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fusion_squared_mat_sub
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gelu
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gru
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hard_shrink
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hierarchical_sigmoid
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hinge_loss
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huber_loss
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im2sequence
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l1_norm
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label_smooth
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leaky_relu
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linear_chain_crf
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log
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log_loss
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logsigmoid
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lookup_table
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lrn
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lstm
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lstm_unit
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lstmp
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margin_rank_loss
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max_pool2d_with_index
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max_pool3d_with_index
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maxout
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modified_huber_loss
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multiplex
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nce
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nearest_interp
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norm
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pool2d
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pool3d
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pow
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prelu
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psroi_pool
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quantize
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rank_loss
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reduce_max
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reduce_mean
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reduce_min
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reduce_prod
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reduce_sum
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requantize
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reshape
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rnn_memory_helper
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roi_align
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roi_perspective_transform
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roi_pool
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round
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row_conv
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scatter
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sequence_concat
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sequence_conv
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sequence_expand
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sequence_expand_as
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sequence_pad
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sequence_scatter
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sequence_slice
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sequence_softmax
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sequence_unpad
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shuffle_channel
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sigmoid_cross_entropy_with_logits
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sin
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softplus
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softshrink
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softsign
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space_to_depth
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spp
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square
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squared_l2_distance
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squared_l2_norm
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squeeze
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stanh
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swish
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tanh_shrink
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teacher_student_sigmoid_loss
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tensor_array_to_tensor
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thresholded_relu
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transpose
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tree_conv
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unpool
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unsqueeze
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warpctc
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@ -0,0 +1,66 @@
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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os.environ['CUDA_VISIBLE_DEVICES'] = ''
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import paddle.fluid as fluid
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import sys
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def get_op_diff(filename):
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ops_created_by_py_func = set(
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fluid.core._get_use_default_grad_op_desc_maker_ops())
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with open(filename, 'r') as f:
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ops_read_from_file = set([line.strip() for line in f.readlines()])
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diff_ops = []
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for op in ops_read_from_file:
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if op not in ops_created_by_py_func:
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diff_ops.append(op)
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else:
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ops_created_by_py_func.remove(op)
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err_msg = []
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diff_ops = list(diff_ops)
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if len(diff_ops) > 0:
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err_msg.append('Added grad op with DefaultGradOpDescMaker: ' + str(
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diff_ops))
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ops_created_by_py_func = list(ops_created_by_py_func)
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if len(ops_created_by_py_func) > 0:
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err_msg.append('Remove grad op with DefaultGradOpDescMaker: ' + str(
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ops_created_by_py_func))
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return err_msg
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if len(sys.argv) != 2:
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print('Usage: python diff_use_default_grad_op_maker.py [filepath]')
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sys.exit(1)
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file_path = str(sys.argv[1])
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err_msg = get_op_diff(file_path)
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if len(err_msg) > 0:
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_, filename = os.path.split(file_path)
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print('File `{}` is wrong compared to your PR revision!'.format(filename))
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print(
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'Please use `python generate_op_use_grad_op_desc_maker_spec.py [filepath]` to generate new `{}` file'.
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format(filename))
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print('Error message is: ' + '; '.join(err_msg))
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sys.exit(1)
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@ -0,0 +1,29 @@
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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os.environ['CUDA_VISIBLE_DEVICES'] = ''
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import paddle.fluid as fluid
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import sys
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if len(sys.argv) != 2:
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print('Usage: python generate_op_use_grad_op_desc_maker_spec.py [filepath]')
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sys.exit(1)
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with open(sys.argv[1], 'w') as f:
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ops = fluid.core._get_use_default_grad_op_desc_maker_ops()
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for op in ops:
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f.write(op + '\n')
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