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tensorflow/c/BUILD
"//tensorflow/core:test_main", "//tensorflow/core/kernels:ops_testutil", "@com_google_absl//absl/container:inlined_vector", "@com_google_absl//absl/strings:str_format", "@eigen_archive//:eigen3", ], ) tf_cc_test( name = "ops_test", size = "medium", srcs = ["ops_test.cc"], linkopts = select({ "//conditions:default": [], }),
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tensorflow/BUILD
) config_setting( name = "using_rocm_hipcc", define_values = {"using_rocm_hipcc": "true"}, ) config_setting( name = "override_eigen_strong_inline", define_values = {"override_eigen_strong_inline": "true"}, visibility = ["//visibility:public"], ) # This flag specifies whether TensorFlow 2.0 API should be built instead
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RELEASE.md
* This does not change the minimum required version for building TensorFlow from source on Windows, but builds enabling `EIGEN_STRONG_INLINE` can take over 48 hours to compile without this flag. Refer to `configure.py` for more information about `EIGEN_STRONG_INLINE` and `/d2ReducedOptimizeHugeFunctions`. * If either of the required DLLs, `msvcp140.dll` (old) or `msvcp140_1.dll`
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.bazelrc
build:mkl_aarch64 --define=build_with_openmp=true build:mkl_aarch64 --define=build_with_acl=true build:mkl_aarch64 -c opt # Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL). # with Eigen threadpool support build:mkl_aarch64_threadpool --define=build_with_mkl_aarch64=true build:mkl_aarch64_threadpool -c opt # CUDA: This config refers to building CUDA op kernels with nvcc.
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