mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
65 lines
2.2 KiB
C++
65 lines
2.2 KiB
C++
/*
|
|
* Copyright (c) 2025, NVIDIA CORPORATION. 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 "tensorrt_llm/common/config.h"
|
|
#include "tensorrt_llm/kernels/moeAlignKernels.h"
|
|
#include "thUtils.h"
|
|
#include <torch/extension.h>
|
|
|
|
namespace tk = tensorrt_llm::kernels;
|
|
|
|
TRTLLM_NAMESPACE_BEGIN
|
|
|
|
namespace torch_ext
|
|
{
|
|
|
|
void moeAlignBlockSizeOp(torch::Tensor topk_ids, int64_t num_experts, int64_t block_size,
|
|
torch::Tensor sorted_token_ids, torch::Tensor expert_ids, torch::Tensor num_tokens_post_pad)
|
|
{
|
|
// Validate inputs
|
|
CHECK_TH_CUDA(topk_ids);
|
|
CHECK_CONTIGUOUS(topk_ids);
|
|
CHECK_INPUT(sorted_token_ids, torch::kInt32);
|
|
CHECK_INPUT(expert_ids, torch::kInt32);
|
|
CHECK_INPUT(num_tokens_post_pad, torch::kInt32);
|
|
|
|
TORCH_CHECK(topk_ids.scalar_type() == torch::kInt32 || topk_ids.scalar_type() == torch::kInt64,
|
|
"topk_ids must be int32 or int64");
|
|
|
|
auto stream = at::cuda::getCurrentCUDAStream();
|
|
|
|
tk::invokeMoeAlignBlockSize(topk_ids.data_ptr(), topk_ids.element_size(), sorted_token_ids.data_ptr<int32_t>(),
|
|
expert_ids.data_ptr<int32_t>(), num_tokens_post_pad.data_ptr<int32_t>(), static_cast<int32_t>(num_experts),
|
|
static_cast<int32_t>(block_size), static_cast<int32_t>(topk_ids.numel()),
|
|
static_cast<int32_t>(sorted_token_ids.size(0)), stream);
|
|
}
|
|
|
|
} // namespace torch_ext
|
|
|
|
TRTLLM_NAMESPACE_END
|
|
|
|
TORCH_LIBRARY_FRAGMENT(trtllm, m)
|
|
{
|
|
m.def(
|
|
"moe_align_block_size(Tensor topk_ids, int num_experts, int block_size, "
|
|
"Tensor(a!) sorted_token_ids, Tensor(a!) expert_ids, Tensor(a!) num_tokens_post_pad) -> ()");
|
|
}
|
|
|
|
TORCH_LIBRARY_IMPL(trtllm, CUDA, m)
|
|
{
|
|
m.impl("moe_align_block_size", &tensorrt_llm::torch_ext::moeAlignBlockSizeOp);
|
|
}
|