code: def _sample_inputs_sparse_like_fns(
      op_info, device, dtype, requires_grad, layout, **kwargs
  ):
      from torch.testing._internal.common_utils import TestCase
  
      for tensor in TestCase().generate_simple_inputs(
          layout,
          device=device,
          dtype=dtype,
          enable_batch=True,
          enable_hybrid=True,
          enable_zero_sized=True,
          enable_non_contiguous_indices=False,
          enable_non_contiguous_values=False,
      ):
          yield SampleInput(tensor, args=(), kwargs={})
          yield SampleInput(
              tensor,
              args=(),
              kwargs=dict(device=device, dtype=dtype, layout=layout),
          )
  
          if dtype is not torch.float64:
              yield SampleInput(
                  tensor, args=(), kwargs=dict(dtype=torch.float64)
              )
  
          if torch.cuda.is_available():
              other_device = (
                  "cuda" if tensor.device.type == "cpu" else "cpu"
              )
              yield SampleInput(
                  tensor, args=(), kwargs=dict(device=other_device)
              )
  
          if layout is torch.sparse_csr:
              other_layout = torch.sparse_csc
          elif layout is torch.sparse_csc:
              other_layout = torch.sparse_csr
          elif layout is torch.sparse_bsr:
              other_layout = torch.sparse_bsc
          elif layout is torch.sparse_bsc:
              other_layout = torch.sparse_bsr
          else:
              other_layout = torch.strided
          yield SampleInput(
              tensor, args=(), kwargs=dict(layout=other_layout)
          )
  
          if layout is not torch.sparse_coo:
              yield SampleInput(
                  tensor, args=(), kwargs=dict(layout=torch.sparse_coo)
              )
  
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 17 for calling a global function with example usage: _sample_inputs_sparse_like_fns(op_info, device, dtype, requires_grad, layout) without return types