code: def _get_model(
      shape, input_zp, input_sc, output_zp, output_sc, dtype, alpha
  ):
      x = relay.var("x", shape=shape, dtype=dtype)
      x = relay.qnn.op.dequantize(
          x,
          input_scale=relay.const(input_sc, "float32"),
          input_zero_point=relay.const(input_zp, "int32"),
      )
      x = relay.nn.leaky_relu(x, alpha=alpha)
      return relay.qnn.op.quantize(
          x,
          output_scale=relay.const(output_sc, "float32"),
          output_zero_point=relay.const(output_zp, "int32"),
          out_dtype=dtype,
      )
  
file_path: tvm/tests/python/contrib/test_ethosn/test_leaky_relu.py
imports: import pytest
  import numpy
  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_model(shape, input_zp, input_sc, output_zp, output_sc, dtype, alpha) and returns: relay