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tensorflow/c/eager/custom_device_testutil.cc
auto dtype = TFE_TensorHandleDataType(t->tensor); TFE_CustomDeviceTensorHandleMethods handle_methods; handle_methods.num_dims = &LoggedTensorNumDims; handle_methods.dim = &LoggedTensorDim; handle_methods.deallocator = &LoggedTensorDeallocator; return TFE_NewCustomDeviceTensorHandle(context, logging_device_name.c_str(), dtype, t.release(), handle_methods,
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/gradients.h
void Watch(const AbstractTensorHandle*); // Records an operation with given inputs and outputs // on the tape and marks all its outputs as watched if at // least one input of the op is watched and has a trainable dtype. // op_name is optional and is used for debugging only. void RecordOperation(absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle* const> outputs,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
const char* device_name = DeviceName(&s); if (!s.ok()) { device_name = "<error fetching device name>"; } return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string, ", dtype=", DataType_Name(DataType()), ", device=\"", device_name, "\")"); } Status ImmediateExecutionTensorHandle::SummarizeValue( std::string& summary) const { Status status;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/c_test_util.h
unique_tensor_ptr; TF_Tensor* BoolTensor(int32_t v); // Create a tensor with values of type TF_INT8 provided by `values`. TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values); // Create a tensor with values of type TF_INT32 provided by `values`. TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims, const int32_t* values);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 09 01:06:53 GMT 2018 - 6K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
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; // Array of dimensions. -1 indicates unknown dim. int64_t* dims; // The data type. May be 0 to denote unknown type. TF_DataType dtype; }; typedef struct TF_ShapeAndType TF_ShapeAndType;
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/c_api_distributed_test.cc
" attr {" " key: 'dtype'" " value {" " type: DT_FLOAT" " }" " }" " }" " node_def {" " name: 'read1'" " op: 'ReadVariableOp'" " input: 'var'" " device: '/job:localhost/replica:0/task:1/device:CPU:0'" " attr {" " key: 'dtype'" " value {"
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/c_api_unified_experimental_graph.cc
operation->SetOpName(absl::StrCat("_input_", inputs_.size()).c_str())); TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype)); if (!shape.unknown_rank()) { TF_RETURN_IF_ERROR(operation->SetAttrShape( "shape", reinterpret_cast<int64_t*>(shape.dim_sizes().data()), shape.dims())); } int num_outputs = 1; std::vector<AbstractTensorHandle*> outputs(num_outputs);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.h
// // Implicit copies onto `device_name` are allowed, replicating the value once // per device in `underlying_devices`. Implicit copies off of the device throw // an error. // // All component tensors must have the same dtype. Currently they must also have // the same shape, although this requirement may be relaxed in the future. // // `device_name` must not name an existing physical or custom device (see
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/experimental/grappler/grappler_test.cc
TF_SetStatus(status, TF_OK, ""); PopulateDefaultParam(params); params->device_type = "Device0"; }; auto plugin_init_1 = [](TP_OptimizerRegistrationParams* const params, TF_Status* const status) -> void { TF_SetStatus(status, TF_OK, ""); PopulateDefaultParam(params); params->device_type = "Device1"; }; TF_ASSERT_OK(InitGraphPlugin(plugin_init_0));
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/experimental/next_pluggable_device/tensor_pjrt_buffer_util.cc
auto* pjrt_c_api_client = dynamic_cast<xla::PjRtCApiClient*>(*pjrt_client); if (pjrt_c_api_client == nullptr) { return absl::InternalError(absl::StrCat("PjRtClient for ", device_type.type_string(), " is not type PjRtCApiClient")); } return pjrt_c_api_client; }
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 3.7K bytes - Viewed (0)