code: def _get_inputs(shapes, dtype):
      inputs = {}
      for i, shape in enumerate(shapes):
          inputs["in" + str(i)] = tvm.nd.array(
              np.random.randint(
                  np.iinfo(dtype).min,
                  np.iinfo(dtype).max + 1,
                  size=shape,
                  dtype=dtype,
              )
          )
  
      return inputs
  
file_path: tvm/tests/python/contrib/test_ethosn/test_concatenate.py
imports: import numpy
  import pytest
  import tvm
  from tvm import relay
  from tvm.testing import requires_ethosn
  from .None import infrastructure
label_desc: Use image node_id 1 for calling a global function with example usage: _get_inputs(shapes, dtype) and returns: inputs