wehub-resource-sync
150 lines
3.6 KiB
Python
150 lines
3.6 KiB
Python
# Copyright (c) 2023 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 unittest
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from test_case_base import TestCaseBase
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import paddle
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from paddle.jit.sot import symbolic_translate
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from paddle.jit.sot.utils import strict_mode_guard
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def simple(x, y):
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x[0] = 3.0
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z = [y]
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y[1] = 5.0
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return x[0] + x[1] + z[0][1] + y[0] + y[1]
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def inplace_in_if(x, y, z):
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if z:
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x[0] = 3.0
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z = [y]
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y[1] = 5.0
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ret = x[0] + x[1] + z[0][1] + y[0] + y[1]
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return ret
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else:
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return None
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def inplace_in_if_fallback(x, y, z):
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if z > 0:
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x[0] = 3.0
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z = [y]
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y[1] = 5.0
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ret = x[0] + x[1] + z[0][1] + y[0] + y[1]
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return ret
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else:
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return None
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def inplace_in_loop(x, y):
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ret = 0
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for i in range(10):
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x[0] = 1
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z = [y]
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y[1] = 2 * i + 1
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ret += x[0] + x[1] + z[0][1] + y[0] + y[1]
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return ret
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def inplace_in_loop_fallback(x, y, it):
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ret = 0
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for i in it:
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x[0] = 1
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z = [y]
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y[1] = 2 * i + 1
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ret += x[0] + x[1] + z[0][1] + y[0] + y[1]
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return ret
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def inplace_case_0(x):
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x[:] = 1.0
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return x
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def inplace_case_1(x):
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x[0][0, 0::2] = 1.0
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return x
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def inplace_case_2(x):
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t = x[0]
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t[:, 0::2] = t[:, 0::2] * 0
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t[:, 1::2] = t[:, 1::2] + 2
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return x
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class TestInplaceApi(TestCaseBase):
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def test_case(self):
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self.assert_results(inplace_case_0, paddle.randn((1, 4)))
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self.assert_results(inplace_case_1, [paddle.randn((1, 4))])
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self.assert_results(inplace_case_2, [paddle.randn((1, 4))])
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def test_backward(self):
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@symbolic_translate
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def func(x):
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m = x * 2
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n = x * 3
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y = m
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y[:] = n
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return y
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x = paddle.ones((1, 4)) * 4
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x.stop_gradient = False
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y = func(x)
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y.sum().backward()
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assert (x.grad.numpy() == 3).all()
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def test_simple(self):
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self.assert_results(
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simple, paddle.to_tensor([1.0, 2.0]), paddle.to_tensor([3.0, 4.0])
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)
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def test_if(self):
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self.assert_results(
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inplace_in_if,
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paddle.to_tensor([1.0, 2.0]),
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paddle.to_tensor([3.0, 4.0]),
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True,
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)
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self.assert_results(
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inplace_in_if_fallback,
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paddle.to_tensor([1.0, 2.0]),
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paddle.to_tensor([3.0, 4.0]),
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paddle.to_tensor(1),
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)
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@strict_mode_guard(False)
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def test_loop(self):
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self.assert_results(
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inplace_in_loop,
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paddle.to_tensor([1.0, 2.0]),
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paddle.to_tensor([3.0, 4.0]),
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)
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a = range(10)
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sym_output = symbolic_translate(inplace_in_loop_fallback)(
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paddle.to_tensor([1.0, 2.0]), paddle.to_tensor([3.0, 4.0]), iter(a)
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)
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paddle_output = inplace_in_loop_fallback(
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paddle.to_tensor([1.0, 2.0]), paddle.to_tensor([3.0, 4.0]), iter(a)
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)
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self.assert_nest_match(sym_output, paddle_output)
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if __name__ == "__main__":
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unittest.main()
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