wehub-resource-sync
39 lines
1.2 KiB
Python
39 lines
1.2 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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import paddle
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np.random.seed(2023)
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def test_update_inputs():
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seq_lens_encoder = paddle.to_tensor(
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[[0], [0], [0], [0]], dtype="int32", place=paddle.XPUPlace(0), stop_gradient=True
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)
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seq_lens_decoder = paddle.to_tensor(
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[[27], [29], [31], [31]], dtype="int32", place=paddle.XPUPlace(0), stop_gradient=True
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)
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batch_size = paddle.to_tensor(
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[0, 8191, 16382, 24573], dtype="int32", place=paddle.XPUPlace(0), stop_gradient=True
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)
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a, b = paddle.incubate.nn.functional.blha_get_max_len(seq_lens_encoder, seq_lens_decoder, batch_size)
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print(a)
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print(b)
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test_update_inputs() |