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45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
"""
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# 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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!! This file will be deleted after the platform is fully functional
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"""
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import numpy as np
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import paddle
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def convert_to_npu_dequant_scale(deq_scale):
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"""
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Convert dequantization scale for NPU.
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Args:
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deq_scale (paddle.Tensor): The original dequantization scale tensor.
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Returns:
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paddle.Tensor: Converted dequantization scale tensor for NPU.
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If NPU is not available, the original tensor is returned.
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This function is designed to prepare the dequantization scale tensor for NPU.
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It first checks if NPU is available. If not, it simply returns the original tensor.
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If NPU is available, it converts the tensor into a specific format required by NPU
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by stacking the original scale values with zeros, reshaping, and converting the data
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type to int64 before returning it as a paddle tensor.
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"""
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if not paddle.is_compiled_with_custom_device("npu"):
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return deq_scale
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arr = deq_scale.numpy()
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new_deq_scale = np.stack([arr.reshape(-1, 1), np.zeros_like(arr).reshape(-1, 1)], axis=-1).reshape(-1)
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return paddle.to_tensor(np.frombuffer(new_deq_scale.tobytes(), dtype=np.int64))
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