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tensorflow/c/c_api_experimental.h
// 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, TF_Status* status); // Information about the shape of a Tensor and its type. struct TF_ShapeAndType { // Number of dimensions. -1 indicates unknown rank. int num_dims;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// gradients available initially). // // Then we repeatedly pop an entry from the stack, run its backprop, and update // the gradients of its inputs. Once we have computed all gradients for a single // input we can mark this input as done, and this can trigger adding an entry to // the stack if all outputs of that entry are now done. // // When the stack is empty we have gradients for all tensors we're interested // in. namespace {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/c_api_distributed_test.cc
// During execution: // * task:0 processes main function `VariableAddFunctionWithGraphError` // and places the 'read0_maybe_with_graph_error' op on task:2 // * task:0 partitions the main function with a subgraph containing // 'read0_maybe_with_graph_error' sent to task:2 // * task:2 graph pass reports an error when it sees
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/eager/parallel_device/parallel_device_test.cc
ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0"; const char* first_device_name = "/job:localhost/replica:0/task:0/device:CPU:0"; const char* second_device_name = "/job:localhost/replica:0/task:0/device:CPU:1"; std::array<const char*, 2> underlying_devices{first_device_name,
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/eager/parallel_device/parallel_device.h
// on each underlying device. // // For example if `device_name` is // "/job:localhost/replica:0/task:0/device:CUSTOM:0" // and `underlying_devices` is // {"/job:localhost/replica:0/task:0/device:GPU:0", // "/job:localhost/replica:0/task:0/device:GPU:1"} // Then executing an operation on CUSTOM:0 will execute it on GPU:0 and GPU:1. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jun 04 21:49:16 GMT 2020 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_testutil.cc
LoggingDevice* device = new LoggingDevice; device->arrived_flag = arrived_flag; device->executed_flag = executed_flag; device->device_name = name; device->underlying_device = "/job:localhost/replica:0/task:0/device:CPU:0"; device->strict_scope_placement = strict_scope_placement; TFE_RegisterCustomDevice(context, custom_device, name, device, status); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 03 20:47:31 GMT 2021 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
int64_t init_timeout_in_ms); tensorflow::ServerDef ReplaceTaskInServerDef( const tensorflow::ServerDef& server_def, int task_index); void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index, const std::string& host, int port); std::vector<std::string> ListDeviceNames(TFE_Context* ctx);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
TF_Status* status) const; void AsyncWait(TFE_Context* context, TF_Status* status) const; // Device strings for component devices that only include a // worker/task/replica if any of those differ across components. Useful for // printing debug messages. std::vector<std::string> SummarizeDeviceNames() const; private:
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
// Register the custom device std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0"; std::array<const char*, 2> underlying_devices{first_device, second_device}; RegisterParallelDevice(context, device_name, underlying_devices, status.get());
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/c_api.h
// A Server instance encapsulates a set of devices and a Session target that // can participate in distributed training. A server belongs to a cluster // (specified by a ClusterSpec), and corresponds to a particular task in a // named job. The server can communicate with any other server in the same // cluster. // In-process TensorFlow server. typedef struct TF_Server TF_Server;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3)