amilanov-amd
cac67a0f32
* Reworked Unit_hipLaunchCooperativeKernel_Basic and Unit_hipLaunchCooperativeKernelMultiDevice_Basic * Introduce reduction_factor for coop groups tests. Fix Unit_Coalesced_Group_Tiled_Partition_Sync_Positive_Basic * Fix always false requirement by adding a cast * Change data type to unsigned long long to align with cuda * Change literal type to double to ensure proper type casting * Remove formatting comments
68 rader
2.6 KiB
C++
68 rader
2.6 KiB
C++
/*
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Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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#pragma once
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#include <hip_test_common.hh>
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#include <hip/hip_cooperative_groups.h>
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#include <cmd_options.hh>
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namespace {
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constexpr int kMaxGPUs = 8;
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} // namespace
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constexpr int MaxGPUs = 8;
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inline bool operator==(const dim3& l, const dim3& r) {
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return l.x == r.x && l.y == r.y && l.z == r.z;
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}
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inline bool operator!=(const dim3& l, const dim3& r) { return !(l == r); }
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__device__ inline unsigned int thread_rank_in_grid() {
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const auto block_size = blockDim.x * blockDim.y * blockDim.z;
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const auto block_rank_in_grid = (blockIdx.z * gridDim.y + blockIdx.y) * gridDim.x + blockIdx.x;
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const auto thread_rank_in_block =
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(threadIdx.z * blockDim.y + threadIdx.y) * blockDim.x + threadIdx.x;
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return block_rank_in_grid * block_size + thread_rank_in_block;
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}
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template <class T> bool CheckDimensions(unsigned int device, T kernel, dim3 blocks, dim3 threads) {
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hipDeviceProp_t props;
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int max_blocks_per_sm = 0;
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int num_sm = 0;
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HIP_CHECK(hipSetDevice(device));
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HIP_CHECK(hipOccupancyMaxActiveBlocksPerMultiprocessor(&max_blocks_per_sm, kernel,
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threads.x * threads.y * threads.z, 0));
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HIP_CHECK(hipGetDeviceProperties(&props, device));
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num_sm = props.multiProcessorCount;
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if ((blocks.x * blocks.y * blocks.z) > max_blocks_per_sm * num_sm ||
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blocks.x <= 0 || blocks.y <= 0 || blocks.z <= 0 ||
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threads.x <= 0 || threads.y <= 0 || threads.z <= 0) {
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return false;
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}
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return true;
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}
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inline double GetTestReductionFactor() { return cmd_options.cg_reduction_factor * 0.01; }
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