63 lines
1.7 KiB
63 lines
1.7 KiB
# 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 generate_spec(filename):
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with open(filename, '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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def read_spec(filename):
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with open(filename, 'r') as f:
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return set([line.strip() for line in f.readlines()])
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def get_spec_diff(dev_filename, pr_filename):
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ops_dev = read_spec(dev_filename)
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ops_pr = read_spec(pr_filename)
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added_ops = []
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removed_ops = []
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for op in ops_pr:
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if op not in ops_dev:
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added_ops.append(op)
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else:
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removed_ops.append(op)
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return added_ops
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if len(sys.argv) == 2:
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generate_spec(sys.argv[1])
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elif len(sys.argv) == 3:
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added_ops = get_spec_diff(sys.argv[1], sys.argv[2])
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if added_ops:
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print(added_ops)
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else:
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print(
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'Usage 1: python diff_use_default_grad_op_maker.py [filepath] to generate new spec file\n'
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'Usage 2: python diff_use_default_grad_op_maker.py [dev_filepath] [pr_filepath] to diff spec file'
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)
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sys.exit(1)
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