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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_testlib.cc
TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes, &FloatDeallocator, nullptr), TF_DeleteTensor); return TensorHandlePtr(TFE_NewTensorHandle(tensor.get(), status)); } // Creates a rank-one TFE_TensorHandle with value `v`. TensorHandlePtr VectorFloatTensorHandle(const std::vector<float>& v, TF_Status* status) { const int num_bytes = v.size() * sizeof(float);
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/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.h
// dtype of read operations). TF_DataType type_; }; // Creates a TFE_TensorHandle with value `v`. TensorHandlePtr FloatTensorHandle(float v, TF_Status* status); // Creates a rank-one TFE_TensorHandle with value `v`. TensorHandlePtr VectorFloatTensorHandle(const std::vector<float>& v, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 09 01:12:35 GMT 2021 - 6.9K bytes - Viewed (0) -
tensorflow/c/c_api.h
const char* attr_name, const char* value, size_t length); // Set `num_dims` to -1 to represent "unknown rank". Otherwise, // `dims` points to an array of length `num_dims`. `dims[i]` must be // >= -1, with -1 meaning "unknown dimension". TF_CAPI_EXPORT extern void TF_SetAttrShape(TF_OperationDescription* desc,
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) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
return errors::Unimplemented(absl::StrCat( "Computing the shape of a ParallelTensor when the components do " "not all have the same rank is not supported. One tensor had " "shape ", first_shape.DebugString(), " and another had shape ", component_shape.DebugString())); } else {
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)