wehub-resource-sync
100 lines
3.3 KiB
C++
100 lines
3.3 KiB
C++
// 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 <string>
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#include <vector>
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/blas/blas.h"
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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#include "paddle/phi/kernels/funcs/selected_rows_functor.h"
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namespace phi {
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template <typename T>
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void dequant(const unsigned char *in,
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T *out,
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float min,
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float max,
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int emb_size,
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int pow_2_bits) {
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float scale = (max - min) / pow_2_bits;
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for (int i = 0; i < emb_size; ++i) {
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T x = scale * static_cast<int>(in[i]) + min;
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out[i] = x;
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}
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}
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constexpr int64_t kNoPadding = -1;
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template <typename T, typename Context>
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void LookupTableDequantKernel(const Context &dev_ctx,
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const DenseTensor &w,
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const DenseTensor &ids_in,
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int64_t padding_idx,
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DenseTensor *out) {
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auto *ids_t = &ids_in; // int tensor
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auto *output_t = out; // float tensor
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auto *ids = ids_t->data<int64_t>();
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int64_t ids_numel = ids_t->numel();
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auto *table_t = &w;
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int64_t row_number = table_t->dims()[0];
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int64_t quant_number = table_t->dims()[1];
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int64_t row_width = (quant_number - 2) * 4;
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auto *table = table_t->data<float>();
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auto *output = dev_ctx.template Alloc<T>(output_t);
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int pow_2_bits = static_cast<int>(pow(2, 8));
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for (int64_t i = 0; i < ids_numel; ++i) {
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if (padding_idx != kNoPadding && ids[i] == padding_idx) {
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memset(output + i * row_width, 0, row_width * sizeof(T));
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} else {
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PADDLE_ENFORCE_LT(
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ids[i],
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row_number,
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common::errors::InvalidArgument(
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"Variable value (input) of OP(lookup_table_dequant) "
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"expected >= 0 and < %ld, but got %ld. Please check input "
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"value.",
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row_number,
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ids[i]));
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PADDLE_ENFORCE_GE(
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ids[i],
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0,
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common::errors::InvalidArgument(
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"Variable value (input) of OP(lookup_table_dequant) "
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"expected >= 0 and < %ld, but got %ld. Please check input "
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"value.",
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row_number,
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ids[i]));
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float min = *(table + ids[i] * quant_number);
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float max = *(table + ids[i] * quant_number + 1);
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int offset = ids[i] * quant_number + 2;
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const unsigned char *tensor_buf =
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reinterpret_cast<const unsigned char *>(table + offset);
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dequant(
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tensor_buf, output + i * row_width, min, max, row_width, pow_2_bits);
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}
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(lookup_table_dequant,
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CPU,
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ALL_LAYOUT,
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phi::LookupTableDequantKernel,
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float) {}
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