code: def _feed_inputs(self, input_blobs, device_option):
      names = ["input", "scale", "bias"]
      for name, blob in zip(names, input_blobs):
          self.ws.create_blob(name).feed(
              blob, device_option=device_option
          )
  
file_path: pytorch/caffe2/python/ideep/leaky_relu_op_test.py
imports: import unittest
  import hypothesis.strategies
  from hypothesis import given, settings
  import numpy
  from caffe2.python import core, workspace, model_helper
  import caffe2.python.hypothesis_test_util
  import caffe2.python.ideep_test_util
label_desc: Use image node_id 3 for calling the LeakyReluTest obj's underlying member method code with example usage: obj._feed_inputs(input_blobs, device_option) without return types