wehub-resource-sync
140 lines
3.6 KiB
Python
140 lines
3.6 KiB
Python
# Copyright (c) 2024 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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from dygraph_to_static_utils import (
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Dy2StTestBase,
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)
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import paddle
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def create_simple_closure():
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y = 1
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def simple_closure(x):
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return x + y
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return simple_closure
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class BaseLayer(paddle.nn.Layer):
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def add_one(self, x):
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y = x + 1
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return y
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class SuperCallWithoutArgumentInForward(BaseLayer):
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def __init__(self):
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super().__init__()
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def forward(self, x):
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# Actually, the super will use the free var `__class__` to
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# call the `add_one` method.
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return super().add_one(x)
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class SuperCallWithoutArgumentInControlFlow(BaseLayer):
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def __init__(self):
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super().__init__()
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def forward(self, x):
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if x > 0:
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return super().add_one(x)
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else:
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return x
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class UserDefinedSuperCallWithoutArgument(BaseLayer):
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def __init__(self):
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super().__init__()
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def forward(self, x):
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def super():
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class A:
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def add_one(self, x):
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return x + 1
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return A()
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return super().add_one(x)
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class SuperCallWithArgument(BaseLayer):
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def __init__(self):
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super().__init__()
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def forward(self, x):
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y = super(__class__, self).add_one(x) # noqa: UP008
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z = super(SuperCallWithArgument, self).add_one(y) # noqa: UP008
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return z
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def recursive_call(x):
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if x == 1:
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return 1
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return x * recursive_call(x - 1)
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class CheckDy2StWithDygraphMixin:
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def check_fn(self, fn, *inputs):
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dyres = fn(*inputs)
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stres = paddle.jit.to_static(fn)(*inputs)
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if isinstance(dyres, paddle.Tensor):
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assert isinstance(stres, paddle.Tensor)
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np.testing.assert_allclose(dyres.numpy(), stres.numpy())
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else:
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self.assertEqual(dyres, stres)
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class TestClosure(Dy2StTestBase, CheckDy2StWithDygraphMixin):
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def test_simple_closure(self):
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simple_closure = create_simple_closure()
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x = paddle.to_tensor(1.0)
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self.check_fn(simple_closure, x)
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class TestSuperCall(Dy2StTestBase, CheckDy2StWithDygraphMixin):
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def test_super_call_without_argument_in_forward(self):
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model = SuperCallWithoutArgumentInForward()
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x = paddle.to_tensor(1.0)
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self.check_fn(model, x)
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def test_super_call_without_argument_in_control_flow(self):
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model = SuperCallWithoutArgumentInControlFlow()
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x = paddle.to_tensor(1.0)
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self.check_fn(model, x)
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def test_user_defined_super_call_without_argument(self):
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model = UserDefinedSuperCallWithoutArgument()
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x = paddle.to_tensor(1.0)
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self.check_fn(model, x)
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def test_super_call_with_argument(self):
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model = SuperCallWithArgument()
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x = paddle.to_tensor(1.0)
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self.check_fn(model, x)
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class TestRecursiveCall(Dy2StTestBase, CheckDy2StWithDygraphMixin):
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def test_recursive_call(self):
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x = 5
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self.check_fn(recursive_call, x)
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if __name__ == '__main__':
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unittest.main()
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