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tensorflow/c/eager/c_api_test.cc
// Remote device on `worker1`. const char remote_device[] = "/job:localhost/replica:0/task:1/device:CPU:0"; // `ctx_0`, `ctx_1`, `ctx_2` contains `remote_device`. { const std::vector<std::string>& device_names = ListDeviceNames(ctx_0); ASSERT_TRUE(std::find(device_names.begin(), device_names.end(), remote_device) != device_names.end()); } {
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false # Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # different compilation methods. E.g. for a PR to test a new CUDA version, set
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tensorflow/c/eager/c_api_experimental_test.cc
// Remote device on `worker2`. const char remote_device[] = "/job:localhost/replica:0/task:2/device:CPU:0"; // `ctx_0`, `ctx_1` contains `remote_device`. { const std::vector<std::string>& device_names = ListDeviceNames(ctx_0); ASSERT_TRUE(std::find(device_names.begin(), device_names.end(), remote_device) != device_names.end()); } {
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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_cc_test( name = "parallel_device_remote_test", srcs = ["parallel_device_remote_test.cc"], # TODO(b/136478427): Enable global heap checking when servers shut down # cleanly. args = ["--heap_check="], deps = [ ":parallel_device",
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tensorflow/c/eager/immediate_execution_tensor_handle.h
virtual const char* DeviceType(Status* status) const = 0; // Returns the device ID which created the handle. virtual int DeviceId(Status* status) const = 0; // Returns a tensor for the handle. If tensor is remote, it will be copied. virtual AbstractTensorInterface* Resolve(Status* status) = 0; std::string DebugString() const override; // Returns a Boolean hint indicating whether callers should prefer
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
A. Unique TensorFlower <******@****.***> 1682633218 -0700
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tensorflow/c/eager/immediate_execution_distributed_manager.h
// Set up distributed execution environment on local and remote tasks. // When `reset_context` is true, initialize new cluster context state based // on cluster configurations provided in `server_def`; otherwise, update // existing context state with the provided `server_def`. Contexts created // on remote tasks will be considered stale and garbage collected after // `keep_alive_secs` of inactivity.
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false # Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # different compilation methods. E.g. for a PR to test a new CUDA version, set
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tensorflow/c/eager/c_api.h
TF_CAPI_EXPORT extern TFE_ContextDevicePlacementPolicy TFE_ContextGetDevicePlacementPolicy(TFE_Context* ctx); // A tensorflow.ServerDef specifies remote workers (in addition to the current // workers name). Operations created in this context can then be executed on // any of these remote workers by setting an appropriate device. // // If the following is set, all servers identified by the // ServerDef must be up when the context is created.
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ci/official/README.md
# Ex. nightly_upload -- for TF nightly official builds; changes version numbers # Ex. no_upload -- Disable all uploads, usually for temporary CI issues # Recommended: use a local+remote cache. # # Bazel will cache your builds in tensorflow/build_output/cache, # and will also try using public build cache results to speed up # your builds. This usually saves a lot of time, especially when
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