/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core
NameSizeModeActions
allocator.h1360644editdlrm
blob.h41680644editdlrm
blob_serialization.h107910644editdlrm
blob_serializer_base.h39050644editdlrm
blob_stats.h11270644editdlrm
common.h43290644editdlrm
common_cudnn.h98930644editdlrm
common_gpu.h214140644editdlrm
common_omp.h1560644editdlrm
context.h61740644editdlrm
context_base.h43820644editdlrm
context_gpu.h110140644editdlrm
cudnn_wrappers.h69560644editdlrm
db.h93520644editdlrm
distributions_stubs.h21610644editdlrm
event.h124200644editdlrm
event_cpu.h11920644editdlrm
export_c10_op_to_caffe2.h94870644editdlrm
export_caffe2_op_to_c10.h111010644editdlrm
flags.h740644editdlrm
graph.h52580644editdlrm
init.h64960644editdlrm
logging.h750644editdlrm
macros.h34260644editdlrm
memonger.h8170644editdlrm
module.h24730644editdlrm
net.h46340644editdlrm
net_async_base.h73970644editdlrm
net_async_scheduling.h9930644editdlrm
net_async_task.h8330644editdlrm
net_async_task_future.h19250644editdlrm
net_async_task_graph.h22530644editdlrm
net_async_tracing.h50930644editdlrm
net_dag_utils.h21460644editdlrm
net_parallel.h21440644editdlrm
net_simple.h26060644editdlrm
net_simple_refcount.h20970644editdlrm
numa.h720644editdlrm
observer.h38090644editdlrm
operator.h588720644editdlrm
operator_gradient.h102220644editdlrm
operator_schema.h184770644editdlrm
plan_executor.h2190644editdlrm
prof_dag_counters.h27510644editdlrm
qtensor.h66150644editdlrm
qtensor_serialization.h26240644editdlrm
scope_guard.h46750644editdlrm
static_tracepoint.h3980644editdlrm
static_tracepoint_elfx86.h55550644editdlrm
stats.h103650644editdlrm
storage.h7330644editdlrm
tensor.h186680644editdlrm
tensor_impl.h3510644editdlrm
tensor_int8.h4500644editdlrm
test_utils.h62850644editdlrm
timer.h12180644editdlrm
transform.h57410644editdlrm
types.h22480644editdlrm
workspace.h113050644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core/macros.h (3426B)
// Automatically generated header file for caffe2 macros. These // macros are used to build the Caffe2 binary, and if you are // building a dependent library, they will need to be set as well // for your program to link correctly. #pragma once // Caffe2 version. The plan is to increment the minor version every other week // as a track point for bugs, until we find a proper versioning cycle. #define CAFFE2_VERSION_MAJOR 1 #define CAFFE2_VERSION_MINOR 10 #define CAFFE2_VERSION_PATCH 2 static_assert( CAFFE2_VERSION_MINOR < 100, "Programming error: you set a minor version that is too big."); static_assert( CAFFE2_VERSION_PATCH < 100, "Programming error: you set a patch version that is too big."); #define CAFFE2_VERSION \ (CAFFE2_VERSION_MAJOR * 10000 + CAFFE2_VERSION_MINOR * 100 + \ CAFFE2_VERSION_PATCH) #define CAFFE2_BUILD_SHARED_LIBS /* #undef CAFFE2_FORCE_FALLBACK_CUDA_MPI */ /* #undef CAFFE2_HAS_MKL_DNN */ /* #undef CAFFE2_HAS_MKL_SGEMM_PACK */ #define CAFFE2_PERF_WITH_AVX #define CAFFE2_PERF_WITH_AVX2 #define CAFFE2_PERF_WITH_AVX512 /* #undef CAFFE2_THREADPOOL_MAIN_IMBALANCE */ /* #undef CAFFE2_THREADPOOL_STATS */ #define CAFFE2_USE_EXCEPTION_PTR /* #undef CAFFE2_USE_ACCELERATE */ #define CAFFE2_USE_CUDNN /* #undef CAFFE2_USE_EIGEN_FOR_BLAS */ /* #undef CAFFE2_USE_FBCODE */ /* #undef CAFFE2_USE_GOOGLE_GLOG */ /* #undef CAFFE2_USE_LITE_PROTO */ #define CAFFE2_USE_MKL #define CAFFE2_USE_MKLDNN /* #undef CAFFE2_USE_NVTX */ /* #undef CAFFE2_USE_TRT */ #ifndef EIGEN_MPL2_ONLY #define EIGEN_MPL2_ONLY #endif // Useful build settings that are recorded in the compiled binary #define CAFFE2_BUILD_STRINGS { \ {"TORCH_VERSION", "1.10.2"}, \ {"CXX_COMPILER", "/opt/rh/devtoolset-7/root/usr/bin/c++"}, \ {"CXX_FLAGS", " -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow"}, \ {"BUILD_TYPE", "Release"}, \ {"BLAS_INFO", "mkl"}, \ {"LAPACK_INFO", "mkl"}, \ {"USE_CUDA", "ON"}, \ {"CUDA_VERSION", "10.2"}, \ {"USE_CUDNN", "ON"}, \ {"CUDNN_VERSION", "7.6.5"}, \ {"USE_NCCL", "ON"}, \ {"USE_MPI", "OFF"}, \ {"USE_GFLAGS", "OFF"}, \ {"USE_GLOG", "OFF"}, \ {"USE_GLOO", ""}, \ {"USE_NNPACK", "ON"}, \ {"USE_OPENMP", "ON"}, \ {"FORCE_FALLBACK_CUDA_MPI", ""}, \ {"HAS_MKL_DNN", ""}, \ {"HAS_MKL_SGEMM_PACK", ""}, \ {"PERF_WITH_AVX", "1"}, \ {"PERF_WITH_AVX2", "1"}, \ {"PERF_WITH_AVX512", "1"}, \ {"USE_EXCEPTION_PTR", "1"}, \ {"USE_ACCELERATE", ""}, \ {"USE_EIGEN_FOR_BLAS", ""}, \ {"USE_LITE_PROTO", ""}, \ {"USE_MKL", "ON"}, \ {"USE_MKLDNN", "ON"}, \ {"USE_NVTX", ""}, \ {"USE_TRT", ""}, \ }