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CONTRIBUTING.md
execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799). 2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts. ```bash # Install Docker first, then this will build and run cpu tests tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/... ``` See
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tensorflow/c/eager/c_api_experimental.h
// EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during // the process lifetime although this should cause the worker to be // reinitialized (e.g. cleared caches) as well.
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tensorflow/c/eager/c_api_cluster_test.cc
server_def.set_task_index(1); std::unique_ptr<tensorflow::GrpcServer> worker_server; ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server) .ok()); ASSERT_TRUE(worker_server->Start().ok()); TF_Status* status = TF_NewStatus(); TFE_ContextOptions* opts = TFE_NewContextOptions();
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ci/devinfra/docker_windows/Dockerfile
# Workaround for networking (b/112379377) was closed as won't fix for MTU setting. # Remaining lines handle making the metadata server on the VM accessible inside docker. RUN Get-NetAdapter | Where-Object Name -like "*Ethernet*" | ForEach-Object { \ & netsh interface ipv4 set subinterface $_.InterfaceIndex mtu=1460 store=persistent }; \
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tensorflow/c/c_api_experimental.h
TF_CAPI_EXPORT extern void TFE_AbortCollectiveOps(TFE_Context* ctx, TF_Status* status); // Checks the health of collective ops peers. Explicit health check is needed in // multi worker collective ops to detect failures in the cluster. If a peer is // down, collective ops may hang. TF_CAPI_EXPORT extern void TFE_CollectiveOpsCheckPeerHealth( TFE_Context* ctx, const char* task, int64_t timeout_in_ms,
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README.md
See the [TensorFlow install guide](https://www.tensorflow.org/install) for the [pip package](https://www.tensorflow.org/install/pip), to [enable GPU support](https://www.tensorflow.org/install/gpu), use a [Docker container](https://www.tensorflow.org/install/docker), and [build from source](https://www.tensorflow.org/install/source). To install the current release, which includes support for
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