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Results 1 - 10 of 33 for createEl (0.25 sec)
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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/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,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K 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) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
} // Passed to `TF_NewTensor` to indicate how an array of floats should be // deleted. static void FloatDeallocator(void* data, size_t, void* arg) { delete[] static_cast<float*>(data); } // Creates a TFE_TensorHandle with value `v`. TensorHandlePtr FloatTensorHandle(float v, TF_Status* status) { const int num_bytes = sizeof(float); float* values = new float[1]; values[0] = v;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
// Test to ensure that a registered graph optimization pass is only executed // once (i.e., on the main function side) in running distributed functions. // This test creates a cluster with two workers, create a variable on the // second worker, and run a distributed function (VariableAddFunction) whose ops // span the local and remote workers. If the graph optimization pass is executed
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/c_api.cc
container_name, plugin_resource_name, &tf_plugin_resource, [plugin_resource_name, create_func, create_func_args, delete_func](tensorflow::PluginResource** new_resource) { void* opaque_plugin_resource = create_func(create_func_args); *new_resource = new tensorflow::PluginResource( opaque_plugin_resource, plugin_resource_name, delete_func);
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
RegisterParallelDevice(context.get(), device_name, underlying_devices, status.get()); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); // Create two vectors with different lengths std::vector<float> size_two_value{1., 2.}; std::vector<float> size_three_value{1., 2., 3.}; TensorHandlePtr size_two( VectorFloatTensorHandle(size_two_value, status.get()));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/experimental/grappler/grappler_test.cc
params->struct_size = TP_OPTIMIZER_REGISTRATION_PARAMS_STRUCT_SIZE; params->optimizer_configs->struct_size = TP_OPTIMIZER_CONFIGS_STRUCT_SIZE; params->optimizer->struct_size = TP_OPTIMIZER_STRUCT_SIZE; params->optimizer->create_func = nullptr; params->optimizer->optimize_func = optimize_func; params->optimizer->destroy_func = nullptr; } TEST(Grappler, SuccessfulRegistration) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Apr 13 22:30:58 GMT 2023 - 11.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
: status_(TF_NewStatus()), // If the context's default exector is set to async, re-using that in // each thread would cause collectives to deadlock. For consistency we // create a new sync executor for every thread. // // TODO(allenl): We should have an async API that works with the // parallel device. device_(device), executor_(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1)