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tensorflow/c/eager/tape.h
// (also known as adjoint function) to compute, given downstream gradients, // upstream gradients. // // TODO(apassos) provide concrete template instantiations for TFE_TensorHandle // specialization, which is blocked by quite a few things needing to loop back // into python now. template <typename Gradient, typename BackwardFunction, typename TapeTensor> class VSpace { public: virtual ~VSpace() {}
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/immediate_execution_context.h
DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. DEVICE_PLACEMENT_WARN = 1, // Silently copy the tensor, which has a performance cost since the operation // will be blocked till the copy completes. This is the default policy. DEVICE_PLACEMENT_SILENT = 2, // Placement policy which silently copies int32 tensors but not other dtypes. DEVICE_PLACEMENT_SILENT_FOR_INT32 = 3, };
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)