// -*- C++ -*- //===----------------------------------------------------------------------===// // // Part of libcu++, the C++ Standard Library for your entire system, // under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. // //===----------------------------------------------------------------------===// #ifndef _CUDA_PTX_TENSORMAP_CP_FENCEPROXY_H_ #define _CUDA_PTX_TENSORMAP_CP_FENCEPROXY_H_ #include #if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC) # pragma GCC system_header #elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG) # pragma clang system_header #elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC) # pragma system_header #endif // no system header #include #include #include #include // __CUDA_MINIMUM_ARCH__ and friends _LIBCUDACXX_BEGIN_NAMESPACE_CUDA_PTX // 9.7.12.15.18. Parallel Synchronization and Communication Instructions: tensormap.cp_fenceproxy // https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-tensormap-cp-fenceproxy /* // tensormap.cp_fenceproxy.global.shared::cta.tensormap::generic.sem.scope.sync.aligned [dst], [src], size; // PTX ISA 83, SM_90 // .sem = { .release } // .scope = { .cta, .cluster, .gpu, .sys } template __device__ static inline void tensormap_cp_fenceproxy( cuda::ptx::sem_release_t, cuda::ptx::scope_t scope, void* dst, const void* src, cuda::ptx::n32_t size); */ #if __cccl_ptx_isa >= 830 extern "C" _CCCL_DEVICE void __cuda_ptx_tensormap_cp_fenceproxy_is_not_supported_before_SM_90__(); template _CCCL_DEVICE static inline void tensormap_cp_fenceproxy(sem_release_t, scope_t<_Scope> __scope, void* __dst, const void* __src, n32_t<_N32> __size) { // __sem == sem_release (due to parameter type constraint) static_assert(__scope == scope_cta || __scope == scope_cluster || __scope == scope_gpu || __scope == scope_sys, ""); NV_IF_ELSE_TARGET( NV_PROVIDES_SM_90, ( _CCCL_IF_CONSTEXPR (__scope == scope_cta) { asm volatile( "tensormap.cp_fenceproxy.global.shared::cta.tensormap::generic.release.cta.sync.aligned [%0], [%1], %2;" : : "l"(__as_ptr_gmem(__dst)), "r"(__as_ptr_smem(__src)), "n"(__size) : "memory"); } _CCCL_ELSE_IF_CONSTEXPR (__scope == scope_cluster) { asm volatile( "tensormap.cp_fenceproxy.global.shared::cta.tensormap::generic.release.cluster.sync.aligned [%0], [%1], %2;" : : "l"(__as_ptr_gmem(__dst)), "r"(__as_ptr_smem(__src)), "n"(__size) : "memory"); } _CCCL_ELSE_IF_CONSTEXPR (__scope == scope_gpu) { asm volatile( "tensormap.cp_fenceproxy.global.shared::cta.tensormap::generic.release.gpu.sync.aligned [%0], [%1], %2;" : : "l"(__as_ptr_gmem(__dst)), "r"(__as_ptr_smem(__src)), "n"(__size) : "memory"); } _CCCL_ELSE_IF_CONSTEXPR (__scope == scope_sys) { asm volatile( "tensormap.cp_fenceproxy.global.shared::cta.tensormap::generic.release.sys.sync.aligned [%0], [%1], %2;" : : "l"(__as_ptr_gmem(__dst)), "r"(__as_ptr_smem(__src)), "n"(__size) : "memory"); }), ( // Unsupported architectures will have a linker error with a semi-decent error message __cuda_ptx_tensormap_cp_fenceproxy_is_not_supported_before_SM_90__();)); } #endif // __cccl_ptx_isa >= 830 _LIBCUDACXX_END_NAMESPACE_CUDA_PTX #endif // _CUDA_PTX_TENSORMAP_CP_FENCEPROXY_H_