67 lines
2.3 KiB
C++
67 lines
2.3 KiB
C++
// 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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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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namespace paddle {
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namespace framework {
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namespace ir {
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void Assign(const DenseTensor& in, DenseTensor* out);
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void Transpose2D(DenseTensor* in, DenseTensor* out = nullptr);
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void CastTo(DenseTensor* in, DenseTensor* out, DataType dtype);
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void CastToFp32(DenseTensor* in, DenseTensor* out = nullptr);
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void CastToFp16(DenseTensor* in, DenseTensor* out = nullptr);
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void CastToInt32(DenseTensor* in, DenseTensor* out = nullptr);
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template <typename T>
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void ConvertWithoutQuant(DenseTensor* weight,
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DenseTensor* weight_max,
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DenseTensor* scale_max,
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bool transpose,
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const std::vector<float>& weight_scales);
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template <typename Tcpu,
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typename Txpu,
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typename std::enable_if<std::is_same<Tcpu, float>::value, Tcpu>::type*
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ptr = nullptr>
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void ConvertWithQuant(DenseTensor* weight,
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DenseTensor* weight_max,
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DenseTensor* scale_max,
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bool transpose,
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bool per_channel_quant = false);
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template <typename Tcpu,
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typename Txpu,
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typename std::enable_if<!std::is_same<Tcpu, float>::value,
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Tcpu>::type* ptr = nullptr>
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void ConvertWithQuant(DenseTensor* weight,
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DenseTensor* weight_max,
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DenseTensor* scale_max,
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bool transpose,
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const std::vector<float>& weight_scales,
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bool per_channel_quant = false);
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bool IsPerTensorQuant(const std::vector<float>& weight_max);
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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