wehub-resource-sync
91 lines
2.2 KiB
Python
91 lines
2.2 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 import nn
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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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class A:
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def __init__(self, vals):
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vals.append(1)
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def foo(x, y):
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out = nn.Softmax()(paddle.to_tensor([x, y], dtype="float32"))
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return out
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def foo2(x, y):
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t = nn.Softmax()
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out1 = t(paddle.to_tensor([x, y], dtype="float32"))
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out2 = t(paddle.to_tensor([x, y], dtype="float32"))
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return out1 + out2
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def error_foo(x):
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t = nn.Linear(10, 10)
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return t(x)
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class NopLayer(paddle.nn.Layer):
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def __init__(self):
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super().__init__()
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self.weight = None
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def created_layer_reconstruct():
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x = paddle.to_tensor([1, 2], dtype="float32")
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weight = NopLayer().weight
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if weight is not None:
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x += 1
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return x
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def bar(x):
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a = A(x)
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t = paddle.to_tensor(x)
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return t.mean()
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class TestInit(TestCaseBase):
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def test_init_paddle_layer(self):
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self.assert_results(foo, 1, 2)
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self.assert_results(foo2, 1, 2)
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def test_init_python_object(self):
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sot_output = symbolic_translate(bar)([1.0, 2.0])
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dyn_output = bar([1.0, 2.0])
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self.assert_nest_match(sot_output, dyn_output)
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def test_error(self):
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def run():
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inputs = paddle.randn((10, 10))
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symbolic_translate(error_foo)(inputs)
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self.assertRaises(paddle.jit.sot.utils.exceptions.InnerError, run)
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@strict_mode_guard(False)
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def test_created_layer_reconstruct(self):
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self.assert_results(created_layer_reconstruct)
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if __name__ == "__main__":
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unittest.main()
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