wehub-resource-sync
99 lines
3.5 KiB
C++
99 lines
3.5 KiB
C++
// 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 <string>
|
|
#include <vector>
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/core/dense_tensor.h"
|
|
#include "paddle/phi/core/enforce.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/kernels/funcs/blas/blas.h"
|
|
#include "paddle/phi/kernels/funcs/eigen/common.h"
|
|
|
|
namespace phi {
|
|
|
|
constexpr int64_t kNoPadding = -1;
|
|
|
|
template <typename T, typename Context>
|
|
void LookupTableKernel(const Context &dev_ctx,
|
|
const DenseTensor &w,
|
|
const DenseTensor &ids_in,
|
|
bool is_sparse,
|
|
bool is_distributed UNUSED,
|
|
int64_t padding_idx,
|
|
bool remote_prefetch UNUSED,
|
|
const std::string &entry_config UNUSED,
|
|
bool is_test,
|
|
const std::string &entry UNUSED,
|
|
const std::string &table_class UNUSED,
|
|
const std::vector<std::string> &table_names UNUSED,
|
|
int trainer_id UNUSED,
|
|
bool grad_inplace UNUSED,
|
|
const std::vector<std::string> &epmap UNUSED,
|
|
const std::vector<int64_t> &height_sections UNUSED,
|
|
DenseTensor *out) {
|
|
auto *ids_t = &ids_in; // int tensor
|
|
auto *output_t = out; // float tensor
|
|
|
|
int64_t *ids = const_cast<int64_t *>(ids_t->data<int64_t>());
|
|
int64_t ids_numel = ids_t->numel();
|
|
|
|
auto *table_t = &w;
|
|
int64_t row_number = table_t->dims()[0];
|
|
int64_t row_width = table_t->dims()[1];
|
|
|
|
auto *table = table_t->data<T>();
|
|
auto *output = dev_ctx.template Alloc<T>(output_t);
|
|
|
|
for (int64_t i = 0; i < ids_numel; ++i) {
|
|
if (padding_idx != kNoPadding && ids[i] == padding_idx) {
|
|
memset(output + i * row_width, 0, row_width * sizeof(T));
|
|
} else {
|
|
PADDLE_ENFORCE_LT(
|
|
ids[i],
|
|
row_number,
|
|
common::errors::InvalidArgument(
|
|
"Variable value (input) of OP(lookup_table) "
|
|
"expected >= 0 and < %ld, but got %ld. Please check input "
|
|
"value.",
|
|
row_number,
|
|
ids[i]));
|
|
PADDLE_ENFORCE_GE(
|
|
ids[i],
|
|
0,
|
|
common::errors::InvalidArgument(
|
|
"Variable value (input) of OP(lookup_table) "
|
|
"expected >= 0 and < %ld, but got %ld. Please check input "
|
|
"value.",
|
|
row_number,
|
|
ids[i]));
|
|
memcpy(output + i * row_width,
|
|
table + ids[i] * row_width,
|
|
row_width * sizeof(T));
|
|
}
|
|
}
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(lookup_table,
|
|
CPU,
|
|
ALL_LAYOUT,
|
|
phi::LookupTableKernel,
|
|
float,
|
|
double,
|
|
int8_t,
|
|
int16_t,
|
|
phi::bfloat16) {}
|