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tensorflow/c/eager/c_api.h
// 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. TF_CAPI_EXPORT extern void TFE_ContextSetServerDef(TFE_Context* ctx,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/immediate_execution_distributed_manager.h
// 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. virtual Status SetOrUpdateServerDef(const ServerDef& server_def,
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tensorflow/c/c_test.c
#endif #include "tensorflow/c/c_api.h" #include "tensorflow/c/c_api_experimental.h" #include "tensorflow/c/env.h" #include "tensorflow/c/kernels.h" // A create function. This will never actually get called in this test, it's // just nice to know that it compiles. void* create(TF_OpKernelConstruction* ctx) { TF_DataType type; TF_Status* s = TF_NewStatus(); TF_OpKernelConstruction_GetAttrType(ctx, "foobar", &type, s);
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server1) .ok()); ASSERT_TRUE(worker_server1->Start().ok()); server_def.set_task_index(2); std::unique_ptr<tensorflow::GrpcServer> worker_server2; ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server2)
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/tfe_monitoring_internal.h
struct TFE_MonitoringBuckets { explicit TFE_MonitoringBuckets( std::function<std::unique_ptr<tensorflow::monitoring::Buckets>(void)> fn) { create_buckets = fn; } std::function<std::unique_ptr<tensorflow::monitoring::Buckets>(void)> create_buckets; }; struct TFE_MonitoringSamplerCell { tensorflow::monitoring::SamplerCell cell; }; template <int NumLabels>
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 5.2K bytes - Viewed (0) -
tensorflow/c/c_api.cc
"and will trigger an error in the future. Either don't modify " "nodes after running them or create a new session."); } } } namespace { // Helper method that creates a shape handle for a shape described by dims. tensorflow::shape_inference::ShapeHandle ShapeHandleFromDims( tensorflow::shape_inference::InferenceContext* ic, int num_dims,
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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
# Run this from inside the tensorflow github directory. # Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file" # Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl" # # This will create a venv with that wheel file installed in it, and a symlink # in ./venv_and_symlink_name/tensorflow to ./tensorflow. We use this for the # "pip" tests. python -m venv /$1 mkdir -p $1 rm -f ./$1/tensorflow
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 1.4K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.cc
// When creating file, use the same permissions as original mode_t open_mode = mode & (S_IRWXU | S_IRWXG | S_IRWXO); // O_WRONLY | O_CREAT | O_TRUNC: // Open file for write and if file does not exist, create the file. // If file exists, truncate its size to 0. int dst_fd = open(dst, O_WRONLY | O_CREAT | O_TRUNC, open_mode); if (dst_fd < 0) { close(src_fd); return -1; }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jan 16 05:36:52 GMT 2020 - 2.1K bytes - Viewed (1) -
tensorflow/c/eager/c_api_unified_experimental.cc
using tensorflow::tracing::TracingTensorHandle; void TF_SetTracingImplementation(const char* name, TF_Status* s) { tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name)); } // Creates a new TensorFlow function, it is an execution context attached to a // given tracing context. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) { return wrap(CreateTracingExecutionContext(fn_name, s));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for # TensorFlow python tests.
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