wehub-resource-sync
68 lines
2.3 KiB
Plaintext
68 lines
2.3 KiB
Plaintext
/* 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/phi/kernels/dequantize_abs_max_kernel.h"
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#include "paddle/common/hostdevice.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/backends/gpu/gpu_primitives.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/math.h"
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namespace phi {
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template <typename T>
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__global__ void KeDequantize(
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const T* in, const float* scale, float max_range, 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, typename Context>
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void DequantizeAbsMaxKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& scale,
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float max_range,
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DenseTensor* out) {
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const T* in_data = x.data<T>();
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const float* scale_factor = scale.data<float>();
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float* out_data = dev_ctx.template Alloc<float>(out);
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int64_t num = x.numel();
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// big tensor currently not supported
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PADDLE_ENFORCE_LE(num,
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(1LL << 31) - 1,
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::common::errors::PreconditionNotMet(
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"x's numel too large, allowed size is 2 ^ 31 - 1 "
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"elements, but got %lld",
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num));
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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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} // namespace phi
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PD_REGISTER_KERNEL(dequantize_abs_max,
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GPU,
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ALL_LAYOUT,
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phi::DequantizeAbsMaxKernel,
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int8_t,
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int16_t) {}
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