002f9879b2
Replaces cherry-picked upstream_ref with complete source trees. xllm/ — Iluvatar official C++ inference engine (15MB, 1470 files) Complete: kernels → layers → models → runtime → scheduler → api Excluded: .git, binary images, third_party submodule checkouts ds_vllm/ — Iluvatar official vllm fork (8MB, 703 files) Included: csrc/ (ALL CUDA kernels), fused_moe/, qwen3_5 model, _custom_ops Excluded: tests, benchmarks, docs, examples (not needed for reference) Critical call chains now fully traceable: MoE: moe_topk_softmax_kernels.cuh → ixformer.h → fused_moe.cpp → layer GDN: qwen3_gated_delta_net_base.cpp → qwen3_5_gated_delta_net.cpp Attention: ixformer.h → xllm_paged_attention → attention.cpp
41 lines
1.4 KiB
C++
41 lines
1.4 KiB
C++
#pragma once
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#include <stdio.h>
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#if defined(__HIPCC__)
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#define HOST_DEVICE_INLINE __host__ __device__
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#define DEVICE_INLINE __device__
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#define HOST_INLINE __host__
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#elif defined(__CUDACC__) || defined(_NVHPC_CUDA)
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#define HOST_DEVICE_INLINE __host__ __device__ __forceinline__
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#define DEVICE_INLINE __device__ __forceinline__
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#define HOST_INLINE __host__ __forceinline__
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#else
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#define HOST_DEVICE_INLINE inline
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#define DEVICE_INLINE inline
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#define HOST_INLINE inline
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#endif
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#define CUDA_CHECK(cmd) \
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do { \
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cudaError_t e = cmd; \
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if (e != cudaSuccess) { \
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printf("Failed: Cuda error %s:%d '%s'\n", __FILE__, __LINE__, \
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cudaGetErrorString(e)); \
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exit(EXIT_FAILURE); \
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} \
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} while (0)
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int64_t get_device_attribute(int64_t attribute, int64_t device_id);
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int64_t get_max_shared_memory_per_block_device_attribute(int64_t device_id);
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namespace cuda_utils {
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template <typename T>
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HOST_DEVICE_INLINE constexpr std::enable_if_t<std::is_integral_v<T>, T>
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ceil_div(T a, T b) {
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return (a + b - 1) / b;
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}
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}; // namespace cuda_utils
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