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.bazelrc
build:mkl --define=build_with_openmp=true build:mkl -c opt # config to build OneDNN backend with a user specified threadpool. build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl_threadpool --define=build_with_mkl_opensource=true build:mkl_threadpool -c opt # Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
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tensorflow/c/c_api_experimental.cc
// TODO(b/113217601): This is needed for EagerContext::runner_ to use a // threadpool, so that we avoid the possibility of running the runner_ in the // threadpool of GPU event mgr, as that can trigger more callbacks to be // scheduled on that same threadpool, causing a deadlock in cases where the // caller of event_mgr->ThenExecute() blocks on the completion of the callback
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
RELEASE.md
* CTC loss and decoders in `contrib/ctc` * Basic support for `half` data type * Better support for loading user ops (see examples in `contrib/`) * Allow use of (non-blocking) Eigen threadpool with `TENSORFLOW_USE_EIGEN_THREADPOOL` define * Add an extension mechanism for adding network file system support * TensorBoard displays metadata stats (running time, memory usage and device used) and tensor shapes
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tensorflow/BUILD
"@zlib//:__subpackages__", "@dlpack//:__subpackages__", "@arm_neon_2_x86_sse//:__subpackages__", "@cpuinfo//:__subpackages__", "@ruy//:__subpackages__", "@XNNPACK//:__subpackages__", "@pthreadpool//:__subpackages__", "@FXdiv//:__subpackages__", "@FP16//:__subpackages__", "@clog//:__subpackages__", "@flatbuffers//:__subpackages__", "@nccl_archive//:__subpackages__",
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