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56 lines
1.9 KiB
56 lines
1.9 KiB
5 years ago
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/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/fluid/operators/dequantize_abs_max_op.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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__global__ void KeDequantize(const T* in, const float* scale, float max_range,
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int num, float* out) {
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const int idx = threadIdx.x + blockIdx.x * blockDim.x;
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if (idx < num) {
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out[idx] = in[idx] * scale[0] / max_range;
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}
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}
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template <typename T>
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struct DequantizeFunctor<platform::CUDADeviceContext, T> {
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void operator()(const platform::CUDADeviceContext& dev_ctx,
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const framework::Tensor* in, const framework::Tensor* scale,
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float max_range, framework::Tensor* out) {
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const T* in_data = in->data<T>();
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const float* scale_factor = scale->data<float>();
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float* out_data = out->mutable_data<float>(dev_ctx.GetPlace());
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int num = in->numel();
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int block = 512;
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int grid = (num + block - 1) / block;
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KeDequantize<T><<<grid, block, 0, dev_ctx.stream()>>>(
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in_data, scale_factor, max_range, num, out_data);
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}
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};
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template struct DequantizeFunctor<platform::CUDADeviceContext, int8_t>;
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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using CUDA = paddle::platform::CUDADeviceContext;
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REGISTER_OP_CUDA_KERNEL(dequantize_abs_max,
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ops::DequantizeMaxAbsKernel<CUDA, int8_t>);
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