leaky_relu

class torch.ao.nn.quantized.functional.leaky_relu(input, negative_slope=0.01, inplace=False, scale=None, zero_point=None) [source]

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) – Quaintized 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.