sgl-kernel transfer custom allreduce from trt kernel to vllm kernel (#5079)
This commit is contained in:
@@ -21,6 +21,7 @@ limitations under the License.
|
||||
#include <torch/library.h>
|
||||
#include <torch/torch.h>
|
||||
|
||||
#include <tuple>
|
||||
#include <vector>
|
||||
|
||||
#define _CONCAT(A, B) A##B
|
||||
@@ -63,18 +64,14 @@ void register_graph_buffers(
|
||||
torch::Tensor allocate_meta_buffer(int64_t size);
|
||||
torch::Tensor get_meta_buffer_ipc_handle(torch::Tensor& inp);
|
||||
#else
|
||||
// TRTLLM custom allreduce
|
||||
fptr_t init_custom_ar(
|
||||
int64_t rank_id,
|
||||
int64_t world_size,
|
||||
torch::Tensor& rank_data,
|
||||
const std::vector<fptr_t>& buffers,
|
||||
const std::vector<fptr_t>& tmp_result_buffers,
|
||||
const std::vector<fptr_t>& barrier_in,
|
||||
const std::vector<fptr_t>& barrier_out);
|
||||
// custom allreduce
|
||||
fptr_t
|
||||
init_custom_ar(const std::vector<fptr_t>& fake_ipc_ptrs, torch::Tensor& rank_data, int64_t rank, bool full_nvlink);
|
||||
void dispose(fptr_t _fa);
|
||||
void all_reduce(fptr_t _fa, torch::Tensor& inp, torch::Tensor& out);
|
||||
int64_t meta_size();
|
||||
void all_reduce(fptr_t _fa, torch::Tensor& inp, torch::Tensor& out, fptr_t _reg_buffer, int64_t reg_buffer_sz_bytes);
|
||||
std::tuple<std::vector<int64_t>, std::vector<int64_t>> get_graph_buffer_ipc_meta(fptr_t _fa);
|
||||
void register_buffer(fptr_t _fa, const std::vector<fptr_t>& fake_ipc_ptrs);
|
||||
void register_graph_buffers(
|
||||
fptr_t _fa, const std::vector<std::vector<int64_t>>& handles, const std::vector<std::vector<int64_t>>& offsets);
|
||||
#endif
|
||||
|
||||
Reference in New Issue
Block a user