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remove speculate_get_padding_offset op (#6308)

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周周周
2026-02-03 15:18:12 +08:00
committed by GitHub
parent 39dc4b0c2e
commit 8277b95fa6
7 changed files with 44 additions and 324 deletions
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custom_ops/gpu_ops/speculate_decoding/speculate_get_padding_offset.cu
-149
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@@ -1,149 +0,0 @@
// 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 "paddle/extension.h"
#ifndef PD_BUILD_STATIC_OP
#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
#endif
__global__ void SpeculateRemovePadding(int64_t* output_data,
const int64_t* input_data,
const int64_t* draft_tokens,
const int* seq_lens,
const int* seq_lens_encoder,
const int* cum_offsets,
const int sequence_length,
const int max_draft_tokens) {
const int bi = blockIdx.x;
const int tid = threadIdx.x;
for (int i = tid; i < seq_lens[bi]; i += blockDim.x) {
const int tgt_seq_id = bi * sequence_length - cum_offsets[bi] + i;
if (seq_lens_encoder[bi] > 0) {
const int src_seq_id = bi * sequence_length + i;
output_data[tgt_seq_id] = input_data[src_seq_id];
} else {
const int src_seq_id = bi * max_draft_tokens + i;
output_data[tgt_seq_id] = draft_tokens[src_seq_id];
}
}
}
__global__ void SpeculateGetPaddingOffsetKernel(int* batch_id_per_token,
int* cum_offsets_out,
int* cu_seqlens_q,
int* cu_seqlens_k,
const int* cum_offsets,
const int* seq_lens,
const int max_seq_len) {
// get padding offset of each batch
const int bi = blockIdx.x;
const int ti = threadIdx.x;
int cum_offset = bi == 0 ? 0 : cum_offsets[bi - 1];
for (int i = ti; i < seq_lens[bi]; i += blockDim.x) {
batch_id_per_token[bi * max_seq_len - cum_offset + i] = bi;
}
if (ti == 0) {
cum_offsets_out[bi] = cum_offset;
int cum_seq_len = (bi + 1) * max_seq_len - cum_offsets[bi];
cu_seqlens_q[bi + 1] = cum_seq_len;
cu_seqlens_k[bi + 1] = cum_seq_len;
}
}
std::vector<paddle::Tensor> SpeculateGetPaddingOffset(
const paddle::Tensor& input_ids,
const paddle::Tensor& draft_tokens,
const paddle::Tensor& cum_offsets,
const paddle::Tensor& seq_len,
const paddle::Tensor& seq_lens_encoder,
const int64_t cpu_token_num) {
auto cu_stream = input_ids.stream();
std::vector<int64_t> input_ids_shape = input_ids.shape();
const int bsz = seq_len.shape()[0];
const int seq_length = input_ids_shape[1];
const int max_draft_tokens = draft_tokens.shape()[1];
auto cum_offsets_out = cum_offsets.copy_to(cum_offsets.place(), false);
const int token_num_data = cpu_token_num;
auto x_remove_padding = paddle::full(
{token_num_data}, 0, paddle::DataType::INT64, input_ids.place());
auto batch_id_per_token = paddle::full(
{token_num_data}, 0, paddle::DataType::INT32, input_ids.place());
auto cu_seqlens_q =
paddle::full({bsz + 1}, 0, paddle::DataType::INT32, input_ids.place());
auto cu_seqlens_k =
paddle::full({bsz + 1}, 0, paddle::DataType::INT32, input_ids.place());
int blockSize = min((token_num_data + 32 - 1) / 32 * 32, 128);
SpeculateGetPaddingOffsetKernel<<<bsz, 128, 0, cu_stream>>>(
batch_id_per_token.data<int>(),
cum_offsets_out.data<int>(),
cu_seqlens_q.data<int>(),
cu_seqlens_k.data<int>(),
cum_offsets.data<int>(),
seq_len.data<int>(),
seq_length);
SpeculateRemovePadding<<<bsz, blockSize, 0, cu_stream>>>(
x_remove_padding.data<int64_t>(),
input_ids.data<int64_t>(),
draft_tokens.data<int64_t>(),
seq_len.data<int>(),
seq_lens_encoder.data<int>(),
cum_offsets_out.data<int>(),
seq_length,
max_draft_tokens);
return {x_remove_padding,
batch_id_per_token,
cu_seqlens_q,
cu_seqlens_k}; // , enc_token_num, dec_token_num};
}
std::vector<std::vector<int64_t>> SpeculateGetPaddingOffsetInferShape(
const std::vector<int64_t>& input_ids_shape,
const std::vector<int64_t>& draft_tokens_shape,
const std::vector<int64_t>& cum_offsets_shape,
const std::vector<int64_t>& token_num_shape,
const std::vector<int64_t>& seq_len_shape,
const std::vector<int64_t>& seq_lens_encoder_shape) {
int64_t bsz = seq_len_shape[0];
int64_t seq_len = input_ids_shape[1];
return {{-1}, {-1}, {bsz + 1}, {bsz + 1}};
}
std::vector<paddle::DataType> SpeculateGetPaddingOffsetInferDtype(
const paddle::DataType& input_ids_dtype,
const paddle::DataType& draft_tokens_dtype,
const paddle::DataType& cum_offsets_dtype,
const paddle::DataType& token_num_dtype,
const paddle::DataType& seq_len_dtype,
const paddle::DataType& seq_lens_encoder_dtype) {
return {input_ids_dtype, seq_len_dtype, seq_len_dtype, seq_len_dtype};
}
PD_BUILD_STATIC_OP(speculate_get_padding_offset)
.Inputs({
"input_ids",
"draft_tokens",
"cum_offsets",
"seq_len",
"seq_lens_encoder",
})
.Outputs({"x_remove_padding",
"batch_id_per_token",
"cu_seqlens_q",
"cu_seqlens_k"})
.Attrs({"cpu_token_num: int64_t"})
.SetKernelFn(PD_KERNEL(SpeculateGetPaddingOffset))
.SetInferShapeFn(PD_INFER_SHAPE(SpeculateGetPaddingOffsetInferShape))
.SetInferDtypeFn(PD_INFER_DTYPE(SpeculateGetPaddingOffsetInferDtype));