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Update deep_ep.cpp

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fzyzcjy 2025-05-08 16:01:47 +08:00 committed by GitHub
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commit adc6e24cb0
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csrc/deep_ep.cpp
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@ -614,6 +614,9 @@ Buffer::internode_dispatch(const torch::Tensor& x, const std::optional<torch::Te
const std::optional<torch::Tensor>& cached_rdma_channel_prefix_matrix, const std::optional<torch::Tensor>& cached_recv_rdma_rank_prefix_sum, const std::optional<torch::Tensor>& cached_rdma_channel_prefix_matrix, const std::optional<torch::Tensor>& cached_recv_rdma_rank_prefix_sum,
const std::optional<torch::Tensor>& cached_gbl_channel_prefix_matrix, const std::optional<torch::Tensor>& cached_recv_gbl_rank_prefix_sum, const std::optional<torch::Tensor>& cached_gbl_channel_prefix_matrix, const std::optional<torch::Tensor>& cached_recv_gbl_rank_prefix_sum,
int expert_alignment, const Config& config, std::optional<EventHandle>& previous_event, bool async, bool allocate_on_comm_stream) { int expert_alignment, const Config& config, std::optional<EventHandle>& previous_event, bool async, bool allocate_on_comm_stream) {
// In dispatch, CPU will busy-wait until GPU receive tensor size metadata from other ranks, which can be quite long.
// If users of DeepEP need to execute other Python code on other threads, such as KV transfer, their code will get stuck due to GIL
// unless we release GIL here.
pybind11::gil_scoped_release release; pybind11::gil_scoped_release release;
const int num_channels = config.num_sms / 2; const int num_channels = config.num_sms / 2;