code: def error_inputs_sparse_mul(op_info, device, layout, **kwargs):
      """Error inputs for mul operation on sparse tensors."""
      dtype = torch.float64
      requires_grad = False
      yield from _error_inputs_sparse(
          _maybe_failing_sample_inputs_sparse_elementwise_binary_mul,
          _validate_sample_input_sparse_elementwise_binary_operation,
          op_info,
          device,
          dtype,
          requires_grad,
          layout,
          **kwargs,
      )
  
imports: import os
  import torch
  from torch.testing import make_tensor
  from torch.testing._internal.opinfo.core import BinaryUfuncInfo, ErrorInput, generate_elementwise_binary_tensors, ReductionOpInfo, sample_inputs_reduction, SampleInput
label_desc: Use image node_id 16 for calling a global function with example usage: error_inputs_sparse_mul(op_info, device, layout) without return types