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tensorflow/c/eager/c_api_experimental.h
} TFE_CustomDevice; // Registers a custom device for use with eager execution. // // Eager operations may be placed on this device, e.g. `with // tf.device("CUSTOM"):` from Python if `device_name` for this call is // "/job:localhost/replica:0/task:0/device:CUSTOM:0". // // The custom device defines copy operations for moving TensorHandles on and
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/tape.h
// "vspace" because a subset of these are related to a vector space, such as // adding gradients, getting zeroes, etc. Currently cannot be implemented // without using tensorflow python code, hence left unspecified here. // // Gradient is the type returned by gradient functions. In Python TF it's either // Tensor or IndexedSlices or None, which here we map to nullptr. Gradients need // to allow their size to be computed and they need to be passable to a backward
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/unified_api_testutil.h
absl::Span<AbstractTensorHandle*>)>; // Runs `model` maybe wrapped in a function call op. This can be thought as // being equivalent to the following python code. // // if use_function: // outputs = tf.function(model)(inputs) // else: // outputs = model(inputs) Status RunModel(Model model, AbstractContext* ctx,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0)