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tensorflow/c/eager/c_api_experimental.h
// // TFE_OpGetDevice(op) records the original placement of the operation. It may // be an empty string if no device was explicitly requested, but will // otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices // are free to set a bad status in order to require explicit placement. void (*execute)(const TFE_Op* op, int* num_outputs,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
std::vector<TFE_TensorHandle*> tensors() const { std::vector<TFE_TensorHandle*> result; result.reserve(tensors_.size()); for (const TensorHandlePtr& tensor : tensors_) { result.emplace_back(tensor.get()); } return result; } private: ParallelTensor(const ParallelDevice& device, std::vector<TensorHandlePtr> tensors,
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/tape.h
// ForwardAccumulator. explicit ForwardAccumulator( const VSpace<Gradient, BackwardFunction, TapeTensor>& vspace, bool use_batch) : vspace_(vspace), use_batch_(use_batch) { call_state_.emplace(nullptr, false); } virtual ~ForwardAccumulator() { for (auto accumulated : accumulated_gradients_) { vspace_.DeleteGradient(accumulated.second); } }
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/c_api_experimental.h
// library are platform-specific and are not documented here. // // On success, returns the newly created library handle and places OK in status. // The caller owns the library handle. // // On failure, returns nullptr and places an error status in status. TF_CAPI_EXPORT extern TF_Library* TF_LoadPluggableDeviceLibrary( const char* library_filename, TF_Status* status);
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.h
// Create a new TFE_TensorHandle with the same contents as 'h' but placed // in the memory of the device name 'device_name'. // If source and destination are the same device, then this creates a new handle // that shares the underlying buffer. Otherwise, it currently requires at least // one of the source or destination devices to be CPU (i.e., for the source or // destination tensor to be placed in host memory).
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)