add View(reuse allocation) strategy on squeeze, unsqueeze, reshape, flatten op (#29913)
* add view strategy on squeeze,unsqueeze,reshape,flatten * add squeeze unittest * add unittests * use View strategy as name rather than Reuse Allacation * fix view api doc * fix format * use core.ops when input of reshape2 is Tensor * fix test_cross_entropy_loss error because of reshape2 * delete selected_rows * change op_function * little change * solve HandleViewBetweenInputAndOutputrevert-31562-mean
pangyoki
4 years ago
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GitHub
parent
4aba17b5db
commit
da16b33f2e
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# Copyright (c) 2020 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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import paddle
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# NOTE(pangyoki): Tensor View Strategy.
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# Refer to `op_function_generator.py`.
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# For view op, a new output varbase will be created, and this varbase will
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# reuse the input varbase's allocation.
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# View APIs include: `squeeze`, `unsqueeze`, `reshape`, `flatten`, `detach`
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class TestDygraphViewReuseAllocation(unittest.TestCase):
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def setUp(self):
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self.init_shape()
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def init_shape(self):
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self.input_shape = [2, 3, 1]
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self.output_shape = [2, 3]
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def view_api_processing(self, var):
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return paddle.squeeze(var)
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def test_view_api(self):
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var = paddle.rand(self.input_shape)
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view_var = self.view_api_processing(var)
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view_var[0] = 2.
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self.assertEqual(var.shape, self.input_shape)
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self.assertEqual(view_var.shape, self.output_shape)
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var_numpy = var.numpy().reshape(self.output_shape)
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view_var_numpy = view_var.numpy()
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self.assertTrue(np.array_equal(var_numpy, view_var_numpy))
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def test_forward_version(self):
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var = paddle.rand(self.input_shape)
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self.assertEqual(var.inplace_version, 0)
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view_var = self.view_api_processing(var)
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self.assertEqual(view_var.inplace_version, 0)
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var[0] = 2.
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self.assertEqual(var.inplace_version, 1)
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self.assertEqual(view_var.inplace_version, 1)
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view_var_2 = self.view_api_processing(var)
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self.assertEqual(view_var_2.inplace_version, 1)
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var[0] = 3.
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self.assertEqual(view_var.inplace_version, 2)
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self.assertEqual(view_var_2.inplace_version, 2)
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def test_backward_error(self):
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# It raises an error because the inplace operator will result
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# in incorrect gradient computation.
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with paddle.fluid.dygraph.guard():
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var_a = paddle.ones(shape=self.input_shape, dtype="float32")
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var_a.stop_gradient = False
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var_b = var_a**2
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# Here, the gradient computation will use the value of var_b
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var_c = var_b**2
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view_var_b = self.view_api_processing(var_b)
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view_var_b[0] = 2. # var_b is modified inplace
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loss = paddle.nn.functional.relu(var_c)
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with self.assertRaisesRegexp(
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RuntimeError,
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"received tensor_version:{} != wrapper_version_snapshot:{}".
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format(1, 0)):
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loss.backward()
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class TestUnsqueezeDygraphViewReuseAllocation(TestDygraphViewReuseAllocation):
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def init_shape(self):
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self.input_shape = [2, 3]
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self.output_shape = [2, 3, 1]
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def view_api_processing(self, var):
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return paddle.unsqueeze(var, -1)
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class TestReshapeDygraphViewReuseAllocation(TestDygraphViewReuseAllocation):
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def init_shape(self):
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self.input_shape = [3, 4]
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self.output_shape = [2, 2, 3]
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def view_api_processing(self, var):
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return paddle.reshape(var, [2, 2, 3])
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class TestFlattenDygraphViewReuseAllocation(TestDygraphViewReuseAllocation):
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def init_shape(self):
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self.input_shape = [3, 4]
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self.output_shape = [12]
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def view_api_processing(self, var):
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return paddle.flatten(var)
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if __name__ == "__main__":
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unittest.main()
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