code: def test_rowwise_prune_op_32bit_indices(
      self, embedding_rows, embedding_dims, weights_dtype
  ):
      self._test_rowwise_prune_op(
          embedding_rows, embedding_dims, torch.int, weights_dtype
      )
  
file_path: pytorch/test/test_pruning_op.py
imports: import hypothesis.strategies
  from hypothesis import given
  import numpy
  import torch
  from torch.testing._internal.common_utils import TestCase, run_tests, skipIfTorchDynamo
  import torch.testing._internal.hypothesis_utils
label_desc: Use image node_id 3 for calling the PruningOpTest obj's underlying member method code with example usage: obj.test_rowwise_prune_op_32bit_indices(embedding_rows, embedding_dims, weights_dtype) without return types