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tensorflow/c/eager/c_api_experimental.h
// off, and an execution operation for named operations. Often execution will // simply wrap op execution on one or more physical devices. // // device_info is an opaque caller-defined type stored with the custom device // which is passed to the functions referenced in the TFE_CustomDevice struct // `device` (execute, delete_device, etc.). It can for example contain the // names of wrapped devices. //
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/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/tape.h
// least one input of the op is watched and has trainable dtype. // // op_type is used to decide which of the incoming gradients can be left as // nullptr instead of building zeros when build_default_zeros_grads == true. void RecordOperation( const string& op_type, const std::vector<TapeTensor>& output_tensors, absl::Span<const int64_t> input_tensor_id,
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
TF_Status* status); // A handle to a tensor on a device. // // Like a TF_Tensor, a TFE_TensorHandle refers to a tensor with a value, shape, // type etc. Unlike a TF_Tensor, a TFE_TensorHandle may refer to such tensors // placed in the memory of different devices or remote address spaces. typedef struct TFE_TensorHandle TFE_TensorHandle;
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/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// The callback to read a block from the underlying filesystem. const BlockFetcher block_fetcher_; /// The callback to read timestamps. const std::function<uint64_t()> timer_seconds_; /// \brief The key type for the file block cache. /// /// The file block cache key is a {filename, offset} pair. typedef std::pair<std::string, size_t> Key; /// \brief The state of a block. ///
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)