mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-04 16:22:57 +08:00
89 lines
3.0 KiB
Plaintext
89 lines
3.0 KiB
Plaintext
// 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 "helper.h"
|
|
|
|
template <int THREADBLOCK_SIZE>
|
|
__global__ void update_inputs_beam_kernel(
|
|
int *seq_lens_this_time,
|
|
int *seq_lens_encoder,
|
|
int64_t *input_ids,
|
|
float *logits,
|
|
const int bsz,
|
|
const int seq_len,
|
|
const int hidden_size,
|
|
const int beam_width) {
|
|
int thread_idx = threadIdx.x;
|
|
int block_idx = blockIdx.x;
|
|
|
|
if (thread_idx < bsz) {
|
|
int bsz_index = thread_idx / beam_width * beam_width;
|
|
if (seq_lens_encoder[bsz_index] > 0) {
|
|
if (block_idx == 0) {
|
|
seq_lens_this_time[thread_idx] = seq_lens_this_time[bsz_index];
|
|
seq_lens_encoder[thread_idx] = seq_lens_encoder[bsz_index];
|
|
}
|
|
if (block_idx < seq_len) {
|
|
input_ids[thread_idx * seq_len + block_idx] = input_ids[bsz_index * seq_len + block_idx];
|
|
}
|
|
|
|
logits[thread_idx * hidden_size + block_idx] = logits[bsz_index * hidden_size + block_idx];
|
|
|
|
}
|
|
|
|
}
|
|
__syncthreads();
|
|
}
|
|
|
|
void UpdateInputesBeam(
|
|
const paddle::Tensor& beam_width,
|
|
const paddle::Tensor& seq_lens_this_time,
|
|
const paddle::Tensor& seq_lens_encoder,
|
|
const paddle::Tensor& input_ids,
|
|
const paddle::Tensor& logits) {
|
|
int beam_width_scalar = beam_width.data<int>()[0];
|
|
|
|
if (beam_width_scalar > 1) {
|
|
const int bsz = seq_lens_this_time.shape()[0];
|
|
const int seq_len = input_ids.shape()[1];
|
|
const int hidden_size = logits.shape()[1];
|
|
|
|
update_inputs_beam_kernel<1024><<<hidden_size, 1024, 0, input_ids.stream()>>>(
|
|
const_cast<int*>(seq_lens_this_time.data<int>()),
|
|
const_cast<int*>(seq_lens_encoder.data<int>()),
|
|
const_cast<int64_t*>(input_ids.data<int64_t>()),
|
|
const_cast<float*>(logits.data<float>()),
|
|
bsz,
|
|
seq_len,
|
|
hidden_size,
|
|
beam_width_scalar
|
|
);
|
|
}
|
|
}
|
|
|
|
PD_BUILD_STATIC_OP(update_inputs_beam)
|
|
.Inputs({"beam_width",
|
|
"seq_lens_this_time",
|
|
"seq_lens_encoder",
|
|
"input_ids",
|
|
"logits"})
|
|
.Outputs({"seq_lens_this_time_out",
|
|
"seq_lens_encoder_out",
|
|
"input_ids_out",
|
|
"logits_out"})
|
|
.SetInplaceMap({{"seq_lens_this_time", "seq_lens_this_time_out"},
|
|
{"seq_lens_encoder", "seq_lens_encoder_out"},
|
|
{"input_ids", "input_ids_out"},
|
|
{"logits", "logits_out"}})
|
|
.SetKernelFn(PD_KERNEL(UpdateInputesBeam)); |