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tensorflow/BUILD
cc_library( name = "grpc", visibility = ["//visibility:public"], deps = select({ "//conditions:default": ["@com_github_grpc_grpc//:grpc"], }), ) cc_library( name = "grpc++", visibility = ["//visibility:public"], deps = select({ "//conditions:default": ["@com_github_grpc_grpc//:grpc++"], }), ) # copybara:comment_end
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tensorflow/c/eager/BUILD
"c_api_experimental.h", "c_api_internal.h", "c_api_unified_experimental.h", ], hdrs = ["c_api.h"], copts = tf_copts(), visibility = ["//visibility:public"], deps = select({ "//tensorflow:android": [ "//tensorflow/core:portable_tensorflow_lib_lite", ], "//conditions:default": [ ":immediate_execution_context",
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RELEASE.md
## Bug Fixes and Other Changes * TF Core: * Random number generation (RNG) system * Add argument `alg` to `tf.random.stateless_*` functions to explicitly select the RNG algorithm. * Add `tf.nn.experimental.stateless_dropout`, a stateless version of `tf.nn.dropout`. * `tf.random.Generator` now can be created inside the scope of
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.bazelrc
# Enable TensorRT optimizations https://developer.nvidia.com/tensorrt build:cuda_clang --config=tensorrt build:cuda_clang --action_env=TF_CUDA_CLANG="1" build:cuda_clang --@local_config_cuda//:cuda_compiler=clang # Select supported compute capabilities (supported graphics cards). # This is the same as the official TensorFlow builds. # See https://developer.nvidia.com/cuda-gpus#compute # `compute_XY` enables PTX embedding in addition to SASS. PTX
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