leaky_relu

class torch.nn.quantized.functional.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 – Quaintized input

• negative_slope – The slope of the negative input

• inplace – Inplace modification of the input tensor

• scale – Scale and zero point of the output tensor.

• zero_point – Scale and zero point of the output tensor.

See LeakyReLU for more details.