code: def run_test(
      func_name,
      ctx,
      ref_ctx,
      rng,
      inputs,
      func_args,
      backward,
      atol_b,
      atol_accum,
  ):
      from nbla_test_utils import function_tester
  
      def ref_fused_convolution_float(*args):
          return ref_fused_convolution(ref_ctx, *args)
  
      def ref_grad_fused_convolution_float(*args, **kwargs):
          return ref_grad_fused_convolution(ref_ctx, *args, **kwargs)
  
      function_tester(
          rng,
          F.fused_convolution,
          ref_fused_convolution_float,
          inputs,
          ref_grad=ref_grad_fused_convolution_float,
          func_args=func_args,
          backward=backward,
          ctx=ctx,
          func_name=func_name,
          atol_f=0,
          atol_b=atol_b,
          atol_accum=atol_accum,
          disable_half_test=True,
      )
  
file_path: nnabla/python/test/function/test_fused_convolution.py
imports: import pytest
  import numpy
  import nnabla
  import nnabla.functions
  import nnabla.ext_utils
  from nbla_test_utils import list_context
label_desc: Use image node_id 5 for calling a global function with example usage: run_test(func_name, ctx, ref_ctx, rng, inputs, func_args, backward, atol_b, atol_accum) and returns: ref_fused_convolution, ref_grad_fused_convolution