code: def dropout1d(input, p=0.5, training=True, inplace=False):
      if inplace:
          return ivy.dropout1d(
              input, p, training=training, data_format="NCW", out=input
          )
      return ivy.dropout1d(
          input, p, training=training, data_format="NCW"
      )
  
file_path: ivy/ivy/functional/frontends/torch/nn/functional/dropout_functions.py
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 3 for calling a global function with example usage: dropout1d(input, p, training, inplace) and returns: ivy, ivy