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paddlepaddle--paddle/paddle/phi/kernels/cpu/dequantize_abs_max_kernel.cc
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2024 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.
#include "paddle/phi/kernels/dequantize_abs_max_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
namespace phi {
template <typename T, typename Context>
void DequantizeAbsMaxKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& scale,
float max_range,
DenseTensor* out) {
const float* scale_factor = scale.data<float>();
const T* input_data = x.data<T>();
float* output_data = dev_ctx.template Alloc<float>(out);
int ind = static_cast<int>(x.numel());
for (size_t i = 0; i < (unsigned)ind; i++) {
output_data[i] = scale_factor[0] * input_data[i] / max_range;
}
}
} // namespace phi
PD_REGISTER_KERNEL(dequantize_abs_max,
CPU,
ALL_LAYOUT,
phi::DequantizeAbsMaxKernel,
int8_t,
int16_t) {}