wehub-resource-sync
155 lines
4.2 KiB
Python
155 lines
4.2 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.jit.sot.psdb import check_no_breakgraph
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@check_no_breakgraph
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def tensor_method_call_1(x: paddle.Tensor):
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y = x + 1
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return y.mean()
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@check_no_breakgraph
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def tensor_method_call_2(a: paddle.Tensor, b: paddle.Tensor):
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c = a.add(b)
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d = c.multiply(a)
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e = d.subtract(b)
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f = e.divide(a)
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g = f.pow(2) + f.abs().sqrt()
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h = (g.abs() + 1).log() - (g / g.max()).exp()
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i = h.sin() + h.cos()
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return i
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def tensor_method_passed_by_user(a: paddle.Tensor, func: paddle.Tensor):
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return func(a)
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@check_no_breakgraph
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def tensor_method_property_without_breakgraph(
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a: paddle.Tensor, b: paddle.Tensor
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):
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return (
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a.name,
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a.persistable,
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a.dtype,
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a.is_tensor(),
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a @ b.T.astype(a.dtype)
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+ len(a.shape)
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+ b.size
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+ a.ndim
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+ a.dim()
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+ a.rank(),
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a.element_size(),
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)
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def tensor_method_property_with_breakgraph(a: paddle.Tensor, b: paddle.Tensor):
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return (
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a.type,
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a.numpy(),
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a.tolist(),
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str(a.place),
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a.clear_gradient(),
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a.is_dense(),
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)
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@check_no_breakgraph
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def tensor_method_property_mT(a: paddle.Tensor):
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return a.mT
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@check_no_breakgraph
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def middle_tensor_name(a: paddle.Tensor, b: paddle.Tensor):
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c = a + b
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return c.name
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@check_no_breakgraph
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def tensor_numel(x: paddle.Tensor):
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return x.numel(), int(x.size)
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@check_no_breakgraph
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def tensor_dim(x: paddle.Tensor):
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return x.dim(), x.ndimension(), x.ndim, x.rank()
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@check_no_breakgraph
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def tensor_len(x: paddle.Tensor):
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return len(x)
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class TestTensorMethod(TestCaseBase):
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def test_tensor_method_1(self):
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x = paddle.rand([10])
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y = paddle.rand([2, 4, 6])
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self.assert_results(tensor_method_call_1, x)
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self.assert_results(tensor_method_call_1, y)
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def test_tensor_method_2(self):
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x = paddle.rand([42])
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y = paddle.rand([42])
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self.assert_results(tensor_method_call_2, x, y)
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def test_tensor_method_passed_by_user(self):
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x = paddle.rand([42])
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y = paddle.rand([42])
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self.assert_results(tensor_method_passed_by_user, x, y.add)
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def test_tensor_method_property(self):
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x = paddle.rand([42, 24], dtype='float64')
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y = paddle.rand([42, 24], dtype='float32')
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self.assert_results(tensor_method_property_without_breakgraph, x, y)
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self.assert_results(tensor_method_property_with_breakgraph, x, y)
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@unittest.skip("TODO: dynamic tensor name is different")
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def test_middle_tensor_name(self):
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x = paddle.rand([42, 24])
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y = paddle.rand([42, 24])
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self.assert_results(middle_tensor_name, x, y)
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def test_tensor_method_property_mT(self):
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x = paddle.rand([42, 24, 2, 2, 3, 2], dtype='float64')
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y = paddle.rand([42, 24, 2, 3, 3, 2], dtype='float32')
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self.assert_results(tensor_method_property_mT, x)
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self.assert_results(tensor_method_property_mT, y)
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def test_tensor_numel(self):
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x = paddle.rand([2, 3], dtype='float32')
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self.assert_results(tensor_numel, x)
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x = paddle.rand([3, 3], dtype='float32')
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self.assert_results(tensor_numel, x) # test dynamic shape
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def test_tensor_dim(self):
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x = paddle.rand([2, 3], dtype='float32')
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self.assert_results(tensor_dim, x)
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def test_tensor_len(self):
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x = paddle.rand([2, 3], dtype='float32')
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self.assert_results(tensor_len, x)
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x = paddle.rand([3, 3], dtype='float32')
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self.assert_results(tensor_len, x) # test dynamic shape
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if __name__ == "__main__":
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unittest.main()
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