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87 lines
2.5 KiB
87 lines
2.5 KiB
# Copyright (c) 2018 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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from __future__ import print_function
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import unittest
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import numpy as np
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from op_test import OpTest
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class TestReshapeOp(OpTest):
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def setUp(self):
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self.init_data()
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self.op_type = "reshape2"
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self.inputs = {"X": np.random.random(self.ori_shape).astype("float32")}
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self.attrs = {"shape": self.new_shape}
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self.outputs = {
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"Out": self.inputs["X"].reshape(self.infered_shape),
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'XShape': np.random.random(self.ori_shape).astype("float32")
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}
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def init_data(self):
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self.ori_shape = (2, 25)
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self.new_shape = (5, 10)
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self.infered_shape = (5, 10)
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def test_check_output(self):
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self.check_output(no_check_set=['XShape'])
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def test_check_grad(self):
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self.check_grad(["X"], "Out")
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class TestReshapeOpDimInfer1(TestReshapeOp):
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def init_data(self):
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self.ori_shape = (5, 10)
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self.new_shape = (5, -1, 5)
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self.infered_shape = (5, -1, 5)
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class TestReshapeOpDimInfer2(TestReshapeOp):
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def init_data(self):
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self.ori_shape = (2, 2, 6)
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self.new_shape = (2, 0, 3, -1)
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self.infered_shape = (2, 2, 3, -1)
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class TestReshapeOpWithInputShape(OpTest):
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def setUp(self):
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ori_shape = (6, 5)
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new_shape = (0, -1, 5)
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actual_shape = (2, 3, 5)
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self.op_type = "reshape2"
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self.inputs = {
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"X": np.random.random(ori_shape).astype("float32"),
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"Shape": np.array(
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actual_shape, dtype="int32")
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}
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self.attrs = {"shape": new_shape}
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self.outputs = {
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"Out": self.inputs["X"].reshape(actual_shape),
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'XShape': np.random.random(ori_shape).astype("float32")
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}
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def test_check_output(self):
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self.check_output(no_check_set=['XShape'])
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def test_check_grad(self):
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self.check_grad(["X"], "Out")
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if __name__ == "__main__":
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unittest.main()
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