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pytorch/defs.bzl
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| def get_blas_gomp_arch_deps(): | |
| return [ | |
| ("x86_64", [ | |
| "third-party//IntelComposerXE:{}".format(native.read_config("fbcode", "mkl_lp64", "mkl_lp64_omp")), | |
| ]), | |
| ("aarch64", [ | |
| "third-party//OpenBLAS:OpenBLAS", | |
| "third-party//openmp:omp", | |
| ]), | |
| ] | |
| default_compiler_flags = [ | |
| "-Wall", | |
| "-Wextra", | |
| "-Wno-unused-function", | |
| "-Wno-unused-parameter", | |
| "-Wno-error=strict-aliasing", | |
| "-Wno-shadow-compatible-local", | |
| "-Wno-maybe-uninitialized", # aten is built with gcc as part of HHVM | |
| "-Wno-unknown-pragmas", | |
| "-Wno-strict-overflow", | |
| # See https://fb.facebook.com/groups/fbcode/permalink/1813348245368673/ | |
| # These trigger on platform007 | |
| "-Wno-stringop-overflow", | |
| "-Wno-class-memaccess", | |
| "-DHAVE_MMAP", | |
| "-DUSE_GCC_ATOMICS=1", | |
| "-D_FILE_OFFSET_BITS=64", | |
| "-DHAVE_SHM_OPEN=1", | |
| "-DHAVE_SHM_UNLINK=1", | |
| "-DHAVE_MALLOC_USABLE_SIZE=1", | |
| "-DTH_HAVE_THREAD", | |
| "-DCPU_CAPABILITY_DEFAULT", | |
| "-DTH_INDEX_BASE=0", | |
| "-DMAGMA_V2", | |
| "-DNO_CUDNN_DESTROY_HANDLE", | |
| "-DUSE_FBGEMM", | |
| "-DUSE_QNNPACK", | |
| "-DUSE_PYTORCH_QNNPACK", | |
| # The dynamically loaded NVRTC trick doesn't work in fbcode, | |
| # and it's not necessary anyway, because we have a stub | |
| # nvrtc library which we load canonically anyway | |
| "-DUSE_DIRECT_NVRTC", | |
| "-DUSE_RUY_QMATMUL", | |
| ] + ([] if native.host_info().os.is_windows else [ | |
| # XNNPACK depends on an updated version of pthreadpool interface, whose implementation | |
| # includes <pthread.h> - a header not available on Windows. | |
| "-DUSE_XNNPACK", | |
| ]) + (["-O1"] if native.read_config("fbcode", "build_mode_test_label", "") == "dev-nosan" else []) | |
| compiler_specific_flags = { | |
| "clang": [ | |
| "-Wno-absolute-value", | |
| "-Wno-pass-failed", | |
| "-Wno-braced-scalar-init", | |
| ], | |
| "gcc": [ | |
| "-Wno-error=array-bounds", | |
| ], | |
| } | |
| def get_cpu_parallel_backend_flags(): | |
| parallel_backend = native.read_config("pytorch", "parallel_backend", "openmp") | |
| defs = [] | |
| if parallel_backend == "openmp": | |
| defs.append("-DAT_PARALLEL_OPENMP_FBCODE=1") | |
| elif parallel_backend == "tbb": | |
| defs.append("-DAT_PARALLEL_NATIVE_TBB_FBCODE=1") | |
| elif parallel_backend == "native": | |
| defs.append("-DAT_PARALLEL_NATIVE_FBCODE=1") | |
| else: | |
| fail("Unsupported parallel backend: " + parallel_backend) | |
| if native.read_config("pytorch", "exp_single_thread_pool", "0") == "1": | |
| defs.append("-DAT_EXPERIMENTAL_SINGLE_THREAD_POOL=1") | |
| mkl_ver = native.read_config("fbcode", "mkl_lp64", "mkl_lp64_omp") | |
| if mkl_ver == "mkl_lp64_seq": | |
| defs.append("-DATEN_MKL_SEQUENTIAL_FBCODE=1") | |
| return defs | |
| def is_cpu_static_dispatch_build(): | |
| mode = native.read_config("fbcode", "caffe2_static_dispatch_mode", "none") | |
| return mode == "cpu" |