code: def silu(features, beta: float = 1.0):
      beta = ivy.astype(ivy.array(beta), ivy.dtype(features))
      return ivy.multiply(
          features, ivy.sigmoid(ivy.multiply(beta, features))
      )
  
imports: import ivy
  from ivy.functional.frontends.tensorflow.func_wrapper import to_ivy_arrays_and_back
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.tensorflow import check_tensorflow_casting
label_desc: Use image node_id 38 for calling a global function with example usage: silu(features, beta) and returns: ivy