code: def test_large_transform_binary(fname, ctx, func_name):
      if not func_name.endswith("Cuda"):
          pytest.skip(
              "Grid-strided loop is tested only for CUDA backend"
          )
  
      with nn.context_scope(ctx), nn.auto_forward(True):
          a = nn.Variable.from_numpy_array(
              np.random.randn(1024, 64, 1)
          ).apply(need_grad=True)
          b = nn.Variable.from_numpy_array(
              np.random.randn(1024, 64, 3)
          ).apply(need_grad=True)
          c = F.mul2(a, b)
          c.backward()
  
file_path: nnabla/python/test/function/test_transform_binary.py
imports: import pytest
  import numpy
  import nnabla
  import nnabla.functions
  from nbla_test_utils import function_tester, list_ctx_and_func_name
label_desc: Use image node_id 11 for calling a global function with example usage: test_large_transform_binary(fname, ctx, func_name) without return types