wehub-resource-sync
100 lines
2.8 KiB
Python
100 lines
2.8 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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import numpy as np
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import paddle
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from paddle.framework import core
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def func(x):
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x1 = paddle.mean(x)
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out = paddle.nn.functional.gelu(x1, False)
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return out
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class TestDy2staticPir(unittest.TestCase):
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def test_basic_network_backward(self):
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core._set_prim_all_enabled(True)
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# ==== dygraph computation ====
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static_func = paddle.jit.to_static(func, full_graph=True)
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x = paddle.randn((8, 16, 64))
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x.stop_gradient = False
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ref_out = func(x) * 2
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ref_out.backward()
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ref_grad = x.grad.numpy()
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x.clear_gradient()
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# ==== to static computation ====
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out = static_func(x)
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actual_out = out * 2
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actual_out.backward()
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actual_grad = x.grad
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core._set_prim_all_enabled(False)
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ops = [
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op.name()
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for op in static_func.program_cache.last()[-1][-1]
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.train_program.program.global_block()
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.ops
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]
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assert "pd_op.erf" in ops
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assert "pd_op.gelu" not in ops
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np.testing.assert_allclose(
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ref_out, actual_out.numpy(), atol=1e-6, rtol=1e-6
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)
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np.testing.assert_allclose(
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ref_grad, actual_grad.numpy(), atol=1e-6, rtol=1e-6
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)
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class TestDy2staticPirEval(unittest.TestCase):
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def test_basic_network_backward_(self):
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core._set_prim_all_enabled(True)
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# ==== dygraph computation ====
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static_func = paddle.jit.to_static(func, full_graph=True)
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static_func.eval()
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x = paddle.randn((8, 16, 64))
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x.stop_gradient = False
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ref_out = func(x) * 2
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# ==== to static computation ====
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out = static_func(x)
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actual_out = out * 2
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ops = [
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op.name()
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for op in static_func.program_cache.last()[-1][-1]
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.infer_program.program.global_block()
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.ops
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]
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core._set_prim_all_enabled(False)
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assert "pd_op.erf" in ops
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assert "pd_op.gelu" not in ops
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np.testing.assert_allclose(
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ref_out, actual_out.numpy(), atol=1e-6, rtol=1e-6
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)
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if __name__ == "__main__":
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unittest.main()
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