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ci/official/utilities/code_check_changed_files.bats
# limitations under the License. # ============================================================================== setup_file() { bazel version # Start the bazel server # Fixes "fatal: detected dubious ownership in repository" for Docker. git config --system --add safe.directory '*' git config --system protocol.file.allow always
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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:c_api_experimental", "//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib", ],
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CONTRIBUTING.md
and [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile) for the required packages. Alternatively, use the said [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build) (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
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tensorflow/c/BUILD
"//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_custom_op_library( name = "test_op1.so", srcs = ["test_op1.cc"], ) tf_kernel_library( name = "test_op_kernel", srcs = ["test_op.cc"], deps = [ "//tensorflow/core:framework", "//tensorflow/core:lib", ], alwayslink = 1, ) tf_cuda_cc_test(
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ci/official/README.md
### Brief System Overview The top-level scripts and utility scripts should be fairly well-documented. Here is a brief explanation of how they tie together: 1. `envs/*` are lists of variables made with bash syntax. A user must set a `TFCI` env param pointing to a list of `env` files. 2. `utilities/setup.sh`, initialized by all top-level scripts, reads and sets values from those `TFCI` paths.
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SECURITY.md
read/write/executions. ### Running a TensorFlow server TensorFlow is a platform for distributed computing, and as such there is a TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for internal communication only. It is not built for use in untrusted environments or networks. For performance reasons, the default TensorFlow server does not include any
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# limitations under the License. # ============================================================================== setup_file() { cd /tf/tensorflow bazel version # Start the bazel server } # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then
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tensorflow/c/eager/BUILD
"//tensorflow/core/distributed_runtime/rpc:grpc_server_lib", "@com_google_absl//absl/strings", ], ) tf_cuda_cc_test( name = "c_api_remote_test", size = "medium", srcs = [ "c_api_remote_test.cc", ], # TODO(b/136478427): Figure out how to correctly shut the server down args = ["--heap_check="], tags = [ "no_windows",
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tensorflow/BUILD
# visibility = ["//visibility:public"], # ) # copybara:uncomment_end # 'enable_registration_v2' opts-in to a different implementation of op and # kernel registration - REGISTER_OP, REGISTER_KERNEL_BUILDER, etc. # # This setting is currently experimental. The 'v2' implementation does _not_ # correspond to a particular, finalized design; rather, it relates to # developing one. #
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RELEASE.md
based server to register tf.function methods and a GRPC client to invoke remote registered methods. RPC APIs are intended for multi-client setups i.e. server and clients are started in separate binaries independently. * Example usage to create server: ```python server = tf.distribute.experimental.rpc.Server.create("grpc", "127.0.0.1:1234")
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