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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// less synchronization than a thread pool would for this task, since Execute // acquires each thread in order (and so only one Execute will schedule // blocking collective operations at a time), and avoids some dynamic // allocation/scheduling. // // TODO(allenl): Keep a map from outer thread to list of inner threads rather // than a single list of threads so aliased nested parallel devices don't
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.h
// outputs - array of TF_Outputs that specify the outputs of the function. // If `noutputs` is zero (the function returns no outputs), `outputs` // can be null. `outputs` can contain the same tensor more than once. // output_names - The names of the function's outputs. `output_names` array // must either have the same length as `outputs` // (i.e. `noutputs`) or be null. In the former case,
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/c_api.h
// tensors in `retvals`. // // 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and // '*num_retvals' should be set to the size of this array. It is an error if // the size of 'retvals' is less than the number of outputs. This call sets // *num_retvals to the number of outputs. // // If async execution is enabled, the call may simply enqueue the execution
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/tape.h
const std::function<void(BackwardFunction*)>& backward_function_deleter); void DeleteTrace(int64_t tensor_id); // Consumes the internal state of the tape (so cannot be called more than // once) and produces the gradient of the target tensors with respect to the // source tensors. The output gradients are used if not empty and not // null. The result is populated with one tensor per target element.
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
TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size); // Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant // folding. This is for testing to ensure that XLA is being tested rather than // Tensorflow's CPU implementation through constant folding. TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled(); TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled( unsigned char should_enable);
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_experimental.h
// is for performance optimization by reusing an exiting unused op rather than // creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse // and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same
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/experimental/filesystem/filesystem_interface.h
/// Note: the `buffer` argument is NOT a null terminated string! /// /// Plugins: /// * Must set `status` to `TF_OK` if exactly `n` bytes have been read. /// * Must set `status` to `TF_OUT_OF_RANGE` if fewer than `n` bytes have /// been read due to EOF. /// * Must return -1 for any other error and must set `status` to any /// other value to provide more information about the error.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
// Unwatches this tensor on the tape. Mainly used for cleanup when deleting // eager tensors. void DeleteTrace(const AbstractTensorHandle*); // Consumes the internal state of the tape (so cannot be called more than // once unless the tape is persistent) and produces the gradient of the target // tensors with respect to the source tensors. The output gradients are used
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