code: def fused_leaky_relu(
      input, bias=None, negative_slope=0.2, scale=2**0.5
  ):
      if bias is not None:
          rest_dim = [1] * (input.ndim - bias.ndim - 1)
          return (
              F.leaky_relu(
                  input + bias.view(1, bias.shape[0], *rest_dim),
                  negative_slope=negative_slope,
              )
              * scale
          )
      else:
          return F.leaky_relu(input, negative_slope=0.2) * scale
  
file_path: TTS/TTS/tts/layers/tortoise/random_latent_generator.py
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 for calling a global function with example usage: fused_leaky_relu(input, bias, negative_slope, scale) and returns: unknown, unknown