wehub-resource-sync
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
# Copyright (c) 2025 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 paddle
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from paddle.static import MetaTensor
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def infer_meta_fn(x_meta: MetaTensor, y_meta: MetaTensor):
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z_meta = MetaTensor()
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z_meta.set_shape([x_meta.shape[0], y_meta.shape[-1]])
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if x_meta.dtype == paddle.bfloat16 or x_meta.dtype == paddle.float16:
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z_meta.set_dtype("float32")
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else:
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z_meta.set_dtype(x_meta.dtype)
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return z_meta
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class TestMetaTensor(unittest.TestCase):
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def test_basic_get_set(self):
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meta_tensor = MetaTensor()
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meta_tensor.set_shape([4, 8192, 768])
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self.assertEqual(meta_tensor.shape, [4, 8192, 768])
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meta_tensor.set_dtype('bfloat16')
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self.assertEqual(meta_tensor.dtype, paddle.bfloat16)
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meta_tensor.set_dtype(paddle.uint8)
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self.assertEqual(meta_tensor.dtype, paddle.uint8)
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def test_eq(self):
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x_meta = MetaTensor()
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y_meta = MetaTensor()
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self.assertEqual(x_meta, y_meta)
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x_meta.set_shape([4, 8192])
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y_meta.set_shape([4, 8192])
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self.assertEqual(x_meta, y_meta)
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x_meta.set_shape([4])
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self.assertNotEqual(x_meta, y_meta)
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def test_infer_meta(self):
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x_meta = MetaTensor()
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x_meta.set_shape([4, 8192])
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x_meta.set_dtype('bfloat16')
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y_meta = MetaTensor()
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y_meta.set_shape([4, 8192, 768])
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z_meta = infer_meta_fn(x_meta, y_meta)
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self.assertEqual(z_meta.shape, [4, 768])
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self.assertEqual(z_meta.dtype, paddle.float32)
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if __name__ == "__main__":
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unittest.main()
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