wehub-resource-sync
91 lines
2.9 KiB
C++
91 lines
2.9 KiB
C++
// Copyright (c) 2023 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 "paddle/phi/kernels/c_embedding_kernel.h"
|
|
|
|
#include "glog/logging.h"
|
|
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename TIds, typename TData>
|
|
void GetIdsEmbedding(const TIds* ids,
|
|
size_t ids_len,
|
|
int64_t start_idx,
|
|
const TData* table,
|
|
int64_t height,
|
|
int64_t width,
|
|
TData* out) {
|
|
for (size_t i = 0; i < ids_len; i++) {
|
|
TIds id = ids[i];
|
|
int64_t local = id - start_idx;
|
|
|
|
if (local >= 0 && local < height) {
|
|
memcpy(out + i * width, table + local * width, width * sizeof(TData));
|
|
} else {
|
|
memset(out + i * width, 0, width * sizeof(TData));
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename T, typename Context>
|
|
void CEmbeddingKernel(const Context& dev_ctx,
|
|
const DenseTensor& w,
|
|
const DenseTensor& ids,
|
|
int64_t start_index,
|
|
int64_t vocab_size,
|
|
DenseTensor* out) {
|
|
VLOG(10) << "table_dims:" << w.dims();
|
|
const T* table_data = w.data<T>();
|
|
T* output_data = dev_ctx.template Alloc<T>(out);
|
|
|
|
const int64_t height = w.dims()[0];
|
|
const int64_t width = w.dims()[1];
|
|
|
|
const auto& index_type = ids.dtype();
|
|
if (index_type == DataType::INT32) {
|
|
GetIdsEmbedding(ids.data<int32_t>(),
|
|
ids.numel(),
|
|
start_index,
|
|
table_data,
|
|
height,
|
|
width,
|
|
output_data);
|
|
} else if (index_type == DataType::INT64) {
|
|
GetIdsEmbedding(ids.data<int64_t>(),
|
|
ids.numel(),
|
|
start_index,
|
|
table_data,
|
|
height,
|
|
width,
|
|
output_data);
|
|
} else {
|
|
PADDLE_THROW(common::errors::Unavailable(
|
|
"CPU c_embedding ids only support int32 or int64."));
|
|
}
|
|
}
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(c_embedding,
|
|
CPU,
|
|
ALL_LAYOUT,
|
|
phi::CEmbeddingKernel,
|
|
float,
|
|
double,
|
|
phi::float16,
|
|
phi::complex64,
|
|
phi::complex128) {}
|