# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import unittest import paddle from paddle.static import MetaTensor def infer_meta_fn(x_meta: MetaTensor, y_meta: MetaTensor): z_meta = MetaTensor() z_meta.set_shape([x_meta.shape[0], y_meta.shape[-1]]) if x_meta.dtype == paddle.bfloat16 or x_meta.dtype == paddle.float16: z_meta.set_dtype("float32") else: z_meta.set_dtype(x_meta.dtype) return z_meta class TestMetaTensor(unittest.TestCase): def test_basic_get_set(self): meta_tensor = MetaTensor() meta_tensor.set_shape([4, 8192, 768]) self.assertEqual(meta_tensor.shape, [4, 8192, 768]) meta_tensor.set_dtype('bfloat16') self.assertEqual(meta_tensor.dtype, paddle.bfloat16) meta_tensor.set_dtype(paddle.uint8) self.assertEqual(meta_tensor.dtype, paddle.uint8) def test_eq(self): x_meta = MetaTensor() y_meta = MetaTensor() self.assertEqual(x_meta, y_meta) x_meta.set_shape([4, 8192]) y_meta.set_shape([4, 8192]) self.assertEqual(x_meta, y_meta) x_meta.set_shape([4]) self.assertNotEqual(x_meta, y_meta) def test_infer_meta(self): x_meta = MetaTensor() x_meta.set_shape([4, 8192]) x_meta.set_dtype('bfloat16') y_meta = MetaTensor() y_meta.set_shape([4, 8192, 768]) z_meta = infer_meta_fn(x_meta, y_meta) self.assertEqual(z_meta.shape, [4, 768]) self.assertEqual(z_meta.dtype, paddle.float32) if __name__ == "__main__": unittest.main()