code: def test_torch_vecdot(
      dtype_input_other_dim,
      frontend,
      test_flags,
      fn_tree,
      backend_fw,
  ):
      dtype, input, other, dim = dtype_input_other_dim
      test_flags.num_positional_args = len(dtype_input_other_dim) - 2
      helpers.test_frontend_function(
          input_dtypes=dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          rtol=1e-2,
          atol=1e-3,
          x=input,
          y=other,
          dim=dim,
      )
  
imports: import math
  import sys
  import numpy
  from hypothesis import strategies, assume
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import assert_all_close
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_frontends.test_torch.test_miscellaneous_ops import dtype_value1_value2_axis
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _matrix_rank_helper
label_desc: Use image node_id 37 for calling a global function with example usage: test_torch_vecdot(dtype_input_other_dim, frontend, test_flags, fn_tree, backend_fw) without return types