code: def test_token_channels_permutations(
      tokens: int, channels: int, dtype: torch.dtype
  ) -> None:
      """
      Validate bias activation kernel with different token and channel permutations when using the RELU
      activation function.
      """
      act_fn = ActivationType.RELU
      dtype = DtypeEnum(dtype)
      _bias_activation_test_helper(tokens, channels, act_fn, dtype)
  
file_path: deepspeed/tests/unit/inference/v2/kernels/core_ops/test_bias_activation.py
imports: from typing import Optional
  import pytest
  import torch
  from deepspeed.accelerator import get_accelerator
  from deepspeed.inference.v2.inference_utils import ActivationType, DtypeEnum
  from deepspeed.inference.v2.kernels.core_ops import CUDABiasActivation
  from ....v2.inference_test_utils import get_dtypes, allclose
label_desc: Use image node_id 3 for calling a global function with example usage: test_token_channels_permutations(tokens, channels, dtype) without return types