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tensorflow/c/eager/c_api_experimental.h
// Method to copy a tensor from the custom device to a target device. TFE_TensorHandle* (*copy_tensor_from_device)(TFE_Context* context, TFE_TensorHandle* tensor, const char* target_device_name, TF_Status* status,
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
// before `StartExecute` is called again. Using `StartExecute` with `Join` // allows the caller to schedule computation on multiple ParallelDevices // without sequencing those operations (first call `StartExecute` on each // parallel device, then call `Join` on each; even if some of the `Join`s // return a bad status the caller must run all of the `Join`s or any future
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/c_api_experimental.h
// The returned string is heap-allocated, and caller should call free() on it. TF_CAPI_EXPORT extern const char* TF_GraphDebugString(TF_Graph* graph, size_t* len); // Returns the function content in a human-readable format, with length set in // `len`. The format is subject to change in the future. // The returned string is heap-allocated, and caller should call free() on it. //
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
in_grads.reserve(input_tensors.size()); for (int target_index = 0; target_index < input_tensors.size(); ++target_index) { const auto current_grad = accumulated_gradients_.find(input_tensors[target_index].GetID()); if (current_grad == accumulated_gradients_.end()) { if (IsDtypeTrainable(input_tensors[target_index].GetDType())) {
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.h
// things like the available devices, resource manager etc. // TFE_Context must outlive all tensor handles created using it. In other // words, TFE_DeleteContext() must be called after all tensor handles have // been deleted (with TFE_DeleteTensorHandle). // // TODO(ashankar): Merge with TF_Session? typedef struct TFE_Context TFE_Context; TF_CAPI_EXPORT extern TFE_Context* TFE_NewContext(
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) -
tensorflow/c/eager/immediate_execution_context.h
typedef void (*MemoryReleaser)(void* data, size_t len, void* arg); // Create a tensor instance from the given data buffer and description. // `memory_releaser` will be called on destruction, and it's responsible for // cleaning up the underlying buffer. virtual AbstractTensorInterface* CreateTensor( DataType dtype, const int64_t* dims, int num_dims, void* data, size_t len,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// placed in `out`. /// 4) `TF_OK` otherwise (i.e. the read succeeded, and at least one byte was /// placed /// in `buffer`). /// /// Caller is responsible for allocating memory for `buffer`. /// `buffer` will be left unchanged in case of errors. int64_t Read(const std::string& filename, size_t offset, size_t n, char* buffer, TF_Status* status);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0)