mirror of
https://github.com/deepseek-ai/DeepEP
synced 2025-06-14 10:18:47 +00:00
b8d90fb753
* Update README * Update `setup.py` * Fix headers * Add `DISABLE_NVSHMEM` for APIs * Fix launch * Fix TMA settings * Fix TMA usages * Fix dlink * Separate layout kernels * Update version * Add `is_sm90_compiled` * Fix tests * Add NVLink connection checks * Update README * Fix tests * Add some comments * Minor fix * Minor fix * Fix bugs
93 lines
2.9 KiB
Plaintext
93 lines
2.9 KiB
Plaintext
#pragma once
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#include "configs.cuh"
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#include "exception.cuh"
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#ifndef SETUP_LAUNCH_CONFIG
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#ifndef DISABLE_SM90_FEATURES
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#define SETUP_LAUNCH_CONFIG(num_sms, num_threads, stream) \
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cudaLaunchConfig_t cfg = {(num_sms), (num_threads), 0, stream, nullptr, 0}; \
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cudaLaunchAttribute attr[1]; \
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attr[0].id = cudaLaunchAttributeCooperative; \
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attr[0].val.cooperative = 1; \
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cfg.attrs = attr; \
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cfg.numAttrs = 1
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#else
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#define SETUP_LAUNCH_CONFIG(sms, threads, stream) \
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int __num_sms = (sms); \
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int __num_threads = (threads); \
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auto __stream = (stream)
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#endif
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#endif
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#ifndef LAUNCH_KERNEL
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#ifndef DISABLE_SM90_FEATURES
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#define LAUNCH_KERNEL(config, kernel, ...) CUDA_CHECK(cudaLaunchKernelEx(config, kernel, ##__VA_ARGS__))
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#else
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#define LAUNCH_KERNEL(config, kernel, ...) \
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do { \
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kernel<<<__num_sms, __num_threads, 0, __stream>>>(__VA_ARGS__); \
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cudaError_t e = cudaGetLastError(); \
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if (e != cudaSuccess) { \
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EPException cuda_exception("CUDA", __FILE__, __LINE__, cudaGetErrorString(e)); \
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fprintf(stderr, "%s\n", cuda_exception.what()); \
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throw cuda_exception; \
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} \
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} while (0)
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#endif
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#endif
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#ifndef SET_SHARED_MEMORY_FOR_TMA
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#ifndef DISABLE_SM90_FEATURES
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#define SET_SHARED_MEMORY_FOR_TMA(kernel) \
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EP_HOST_ASSERT(cudaFuncSetAttribute(kernel, cudaFuncAttributeMaxDynamicSharedMemorySize, smem_size) == cudaSuccess); \
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cfg.dynamicSmemBytes = smem_size;
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#else
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#define SET_SHARED_MEMORY_FOR_TMA(kernel) void()
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#endif
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#endif
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#define SWITCH_RANKS(case_macro) \
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switch (num_ranks) { \
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case 2: case_macro(2); \
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case 4: case_macro(4); \
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case 8: case_macro(8); \
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default: EP_HOST_ASSERT(false and "Unsupported ranks"); \
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} while (false)
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#define SWITCH_RDMA_RANKS(case_macro) \
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switch (num_ranks / NUM_MAX_NVL_PEERS) { \
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case 2: case_macro(2); \
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case 3: case_macro(3); \
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case 4: case_macro(4); \
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case 8: case_macro(8); \
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case 16: case_macro(16); \
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case 18: case_macro(18); \
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case 20: case_macro(20); \
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default: EP_HOST_ASSERT(false and "Unsupported RDMA ranks"); \
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} while (false)
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#define SWITCH_RANKS_WITH_DTYPE(dtype, case_macro) \
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switch (num_ranks) { \
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case 2: case_macro(dtype, 2); \
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case 4: case_macro(dtype, 4); \
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case 8: case_macro(dtype, 8); \
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default: EP_HOST_ASSERT(false && "Unsupported ranks"); \
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} while (false)
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#define SWITCH_TYPES(case_macro) \
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switch (type) { \
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case CUDA_R_16BF: case_macro(nv_bfloat16); \
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case CUDA_R_32F: case_macro(float); \
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default: EP_HOST_ASSERT(false && "Unsupported type"); \
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} while (false)
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#define SWITCH_HIDDEN(case_macro) \
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switch (hidden) { \
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case 2560: case_macro(2560); \
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case 4096: case_macro(4096); \
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case 5120: case_macro(5120); \
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case 7168: case_macro(7168); \
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default: EP_HOST_ASSERT(false && "Unsupported hidden"); \
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} while (false)
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