leaky_relu
class torch.ao.nn.quantized.functional.leaky_relu(input, negative_slope=0.01, inplace=False, scale=None, zero_point=None)
Quantized version of the. leaky_relu(input, negative_slope=0.01,
   inplace=False, scale, zero_point) -> Tensor
Applies element-wise, \text{LeakyReLU}(x) = \max(0, x) +
   \text{negative_slope} * \min(0, x)
Parameters:
      * input (Tensor) -- Quantized input
  * **negative_slope** (*float*) -- The slope of the negative
    input

  * **inplace** (*bool*) -- Inplace modification of the input
    tensor

  * **scale** (*Optional**[**float**]*) -- Scale and zero point of
    the output tensor.

  * **zero_point** (*Optional**[**int**]*) -- Scale and zero point
    of the output tensor.

See "LeakyReLU" for more details.