//===----------------------------------------------------------------------===// // // 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) 2025 NVIDIA CORPORATION & AFFILIATES. // //===----------------------------------------------------------------------===// // MIT License // // Modifications Copyright (C) 2025 Advanced Micro Devices, Inc. All rights reserved. // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE // SOFTWARE. // NOTE(HIP/AMD): AMD does not have a PTX equivalent // UNSUPPORTED: hipcc, hiprtc // UNSUPPORTED: libcpp-has-no-threads // UNSUPPORTED: clang && !nvcc // #include #include __host__ __device__ void test_shfl_full_mask() { #if __cccl_ptx_isa >= 600 && __CUDA_ARCH__ constexpr unsigned FullMask = 0xFFFFFFFF; auto data = threadIdx.x; bool pred1, pred2, pred3, pred4; auto res1 = cuda::ptx::shfl_sync_idx(data, pred1, 2 /*idx*/, 0b11111 /*clamp*/, FullMask); assert(res1 == 2 && pred1); auto res2 = cuda::ptx::shfl_sync_up(data, pred2, 2 /*offset*/, 0 /*clamp*/, FullMask); if (threadIdx.x <= 1) { assert(res2 == threadIdx.x && !pred2); } else { assert(res2 == threadIdx.x - 2 && pred2); } auto res3 = cuda::ptx::shfl_sync_down(data, pred3, 2 /*offset*/, 0b11111 /*clamp*/, FullMask); if (threadIdx.x >= 30) { assert(res3 == threadIdx.x && !pred3); } else { assert(res3 == threadIdx.x + 2 && pred3); } auto res4 = cuda::ptx::shfl_sync_bfly(data, pred4, 2 /*offset*/, 0b11111 /*clamp*/, FullMask); assert(res4 == threadIdx.x ^ 2 && pred4); #endif // __cccl_ptx_isa >= 600 } __host__ __device__ void test_shfl_full_mask_no_pred() { #if __cccl_ptx_isa >= 600 && __CUDA_ARCH__ constexpr unsigned FullMask = 0xFFFFFFFF; auto data = threadIdx.x; auto res1 = cuda::ptx::shfl_sync_idx(data, 2 /*idx*/, 0b11111 /*clamp*/, FullMask); assert(res1 == 2); auto res2 = cuda::ptx::shfl_sync_up(data, 2 /*offset*/, 0 /*clamp*/, FullMask); if (threadIdx.x <= 1) { assert(res2 == threadIdx.x); } else { assert(res2 == threadIdx.x - 2); } auto res3 = cuda::ptx::shfl_sync_down(data, 2 /*offset*/, 0b11111 /*clamp*/, FullMask); if (threadIdx.x >= 30) { assert(res3 == threadIdx.x); } else { assert(res3 == threadIdx.x + 2); } auto res4 = cuda::ptx::shfl_sync_bfly(data, 2 /*offset*/, 0b11111 /*clamp*/, FullMask); assert(res4 == threadIdx.x ^ 2); #endif // __cccl_ptx_isa >= 600 } __host__ __device__ void test_shfl_partial_mask() { #if __cccl_ptx_isa >= 600 && __CUDA_ARCH__ constexpr unsigned PartialMask = 0b1111; auto data = threadIdx.x; bool pred1; if (threadIdx.x <= 3) { auto res1 = cuda::ptx::shfl_sync_idx(data, pred1, 2 /*idx*/, 0b11111 /*clamp*/, PartialMask); assert(res1 == 2 && pred1); } #endif // __cccl_ptx_isa >= 600 } __host__ __device__ void test_shfl_partial_warp() { #if __cccl_ptx_isa >= 600 && __CUDA_ARCH__ constexpr unsigned FullMask = 0xFFFFFFFF; unsigned max_lane_mask = 16; unsigned clamp = 0b11111; unsigned clamp_segmark = (max_lane_mask << 8) | clamp; auto data = threadIdx.x; bool pred1, pred2, pred3, pred4; auto res1 = cuda::ptx::shfl_sync_idx(data, pred1, 2 /*idx*/, clamp_segmark, FullMask); if (threadIdx.x < 16) { assert(res1 == 2 && pred1); } else { assert(res1 == 16 + 2 && pred1); } auto res2 = cuda::ptx::shfl_sync_up(data, pred2, 2 /*offset*/, (max_lane_mask << 8), FullMask); if (threadIdx.x <= 1 || threadIdx.x == 16 || threadIdx.x == 17) { assert(res2 == threadIdx.x && !pred2); } else { assert(res2 == threadIdx.x - 2 && pred2); } auto res3 = cuda::ptx::shfl_sync_down(data, pred3, 2 /*offset*/, clamp_segmark, FullMask); if (threadIdx.x == 14 || threadIdx.x == 15 || threadIdx.x >= 30) { assert(res3 == threadIdx.x && !pred3); } else { assert(res3 == threadIdx.x + 2 && pred3); } auto res4 = cuda::ptx::shfl_sync_bfly(data, pred4, 2 /*offset*/, clamp_segmark, FullMask); assert(res4 == threadIdx.x ^ 2 && pred4); #endif // __cccl_ptx_isa >= 600 } int main(int, char**) { NV_IF_TARGET(NV_IS_HOST, cuda_thread_count = 32;) test_shfl_full_mask(); test_shfl_partial_mask(); test_shfl_partial_warp(); return 0; }