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Support zero-copy for low-latency combine

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This commit is contained in:
Chenggang Zhao
2025-03-18 15:41:50 +08:00
parent 82dcf48fd3
commit dcaf73e5ff
7 changed files with 80 additions and 28 deletions
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23
csrc/deep_ep.cpp
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@@ -1100,7 +1100,8 @@ std::tuple<torch::Tensor, std::optional<EventHandle>, std::optional<std::functio
Buffer::low_latency_combine(const torch::Tensor& x, const torch::Tensor& topk_idx, const torch::Tensor& topk_weights,
const torch::Tensor& src_info, const torch::Tensor& layout_range,
int num_max_dispatch_tokens_per_rank, int num_experts,
bool async, bool return_recv_hook, std::optional<torch::Tensor> out) {
bool zero_copy, bool async, bool return_recv_hook,
const std::optional<torch::Tensor>& out) {
EP_HOST_ASSERT(low_latency_mode);
// Tensor checks
@@ -1159,7 +1160,8 @@ Buffer::low_latency_combine(const torch::Tensor& x, const torch::Tensor& topk_id
next_clean_meta.first, next_clean_meta.second,
num_combined_tokens, hidden, num_max_dispatch_tokens_per_rank,
num_topk, num_experts, rank, num_ranks,
workspace, launch_stream, phases);
workspace, launch_stream,
phases, zero_copy);
};
launcher(return_recv_hook ? LOW_LATENCY_SEND_PHASE : (LOW_LATENCY_SEND_PHASE | LOW_LATENCY_RECV_PHASE));
@@ -1182,6 +1184,20 @@ Buffer::low_latency_combine(const torch::Tensor& x, const torch::Tensor& topk_id
return {combined_x, event, recv_hook};
}
torch::Tensor
Buffer::get_next_low_latency_combine_buffer(int num_max_dispatch_tokens_per_rank, int hidden, int num_experts) {
LowLatencyLayout layout(rdma_buffer_ptr, num_max_dispatch_tokens_per_rank, hidden, num_ranks, num_experts);
auto buffer = layout.buffers[low_latency_buffer_idx];
auto dtype = torch::kBFloat16;
auto num_msg_elems = static_cast<int>(buffer.num_bytes_per_combine_msg / elementSize(torch::kBFloat16));
EP_HOST_ASSERT(buffer.num_bytes_per_combine_msg % elementSize(torch::kBFloat16) == 0);
return torch::from_blob(buffer.combine_rdma_send_buffer_data_start,
{num_experts / num_ranks, num_ranks * num_max_dispatch_tokens_per_rank, hidden},
{num_ranks * num_max_dispatch_tokens_per_rank * num_msg_elems, num_msg_elems, 1},
torch::TensorOptions().dtype(dtype).device(torch::kCUDA));
}
} // namespace deep_ep
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
@@ -1218,5 +1234,6 @@ PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
.def("internode_combine", &deep_ep::Buffer::internode_combine)
.def("clean_low_latency_buffer", &deep_ep::Buffer::clean_low_latency_buffer)
.def("low_latency_dispatch", &deep_ep::Buffer::low_latency_dispatch)
.def("low_latency_combine", &deep_ep::Buffer::low_latency_combine);
.def("low_latency_combine", &deep_ep::Buffer::low_latency_combine)
.def("get_next_low_latency_combine_buffer", &deep_ep::Buffer::get_next_low_latency_combine_buffer);
}