hxtorch.perceptron.nn.ConvertingReLU

class hxtorch.perceptron.nn.ConvertingReLU(shift: numbers.Integral = 2, mock: bool = False)

Bases: hxtorch.perceptron.nn.ReLU

Applies a rectified linear unit to the input, shifts and clips to the input range of the chip.

__init__(shift: numbers.Integral = 2, mock: bool = False)

Parameters

• shift – Number of bits the result is shifted by

• mock – Enable mock mode

Methods

__init__([shift, mock])	param shift Number of bits the result is shifted by
forward(input)	Defines the computation performed at every call.

Attributes

forward(input: torch.Tensor) → torch.Tensor

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

inplace: bool