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[CMake] Delete Caffe2 inspect_gpu binary (#146105)

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As it's unbuildable right now, as headers it depends on are gone

Fixes https://github.com/pytorch/pytorch/issues/146042

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146105
Approved by: https://github.com/atalman, https://github.com/seemethere
This commit is contained in:
Nikita Shulga
2025-01-31 06:42:51 +00:00
committed by PyTorch MergeBot
parent e84bf88dde
commit c55af2b567
2 changed files with 0 additions and 69 deletions
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11
binaries/CMakeLists.txt
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@ -24,17 +24,6 @@ if(BUILD_TEST)
target_link_libraries(core_overhead_benchmark benchmark) target_link_libraries(core_overhead_benchmark benchmark)
endif() endif()
if(USE_CUDA)
caffe2_binary_target("inspect_gpu.cc")
target_link_libraries(inspect_gpu ${CUDA_LIBRARIES})
endif()
if(USE_ROCM)
caffe2_hip_binary_target("hip/inspect_gpu.cc")
endif()
caffe2_binary_target("dump_operator_names.cc") caffe2_binary_target("dump_operator_names.cc")
caffe2_binary_target("optimize_for_mobile.cc") caffe2_binary_target("optimize_for_mobile.cc")

58
binaries/inspect_gpu.cc
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@ -1,58 +0,0 @@
/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <cuda_runtime.h>
#include <sstream>
#include <vector>
#include "c10/util/Flags.h"
#include "caffe2/core/common_gpu.h"
#include "caffe2/core/init.h"
#include "caffe2/core/logging.h"
using std::vector;
C10_DECLARE_int(caffe2_log_level);
int main(int argc, char** argv) {
caffe2::GlobalInit(&argc, &argv);
c10::SetUsageMessage(
"Inspects the GPUs on the current machine and prints out their details "
"provided by cuda.");
int gpu_count;
CUDA_ENFORCE(cudaGetDeviceCount(&gpu_count));
for (int i = 0; i < gpu_count; ++i) {
LOG(INFO) << "Querying device ID = " << i;
caffe2::DeviceQuery(i);
}
vector<vector<bool> > access_pattern;
CAFFE_ENFORCE(caffe2::GetCudaPeerAccessPattern(&access_pattern));
std::stringstream sstream;
// Find topology
for (int i = 0; i < gpu_count; ++i) {
for (int j = 0; j < gpu_count; ++j) {
sstream << (access_pattern[i][j] ? "+" : "-") << " ";
}
sstream << std::endl;
}
LOG(INFO) << "Access pattern: " << std::endl << sstream.str();
return 0;
}