wehub-resource-sync
67 lines
2.2 KiB
Plaintext
67 lines
2.2 KiB
Plaintext
// 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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#include "paddle/phi/kernels/dequantize_log_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(const T* in,
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const float* dict,
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int num,
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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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if (in[idx] < 0) {
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out[idx] = -dict[in[idx] + 128];
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} else {
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out[idx] = dict[in[idx]];
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}
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}
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}
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template <typename T, typename Context>
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void DequantizeLogKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& dict,
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DenseTensor* out) {
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const T* in_data = x.data<T>();
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const float* dict_data = dict.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>
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<<<grid, block, 0, dev_ctx.stream()>>>(in_data, dict_data, num, out_data);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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dequantize_log, GPU, ALL_LAYOUT, phi::DequantizeLogKernel, int8_t) {}
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