code: def test_quantize_linear_float32_activations_float8(
      batch_size,
      tokens,
      embeddings,
      use_bias,
      weights,
      activations,
      device,
  ):
      _test_quantize_linear(
          batch_size,
          tokens,
          embeddings,
          use_bias,
          weights,
          activations,
          torch.float32,
          device,
      )
  
file_path: quanto/test/nn/test_qlinear.py
imports: import pytest
  import torch
  from helpers import assert_similar, random_qtensor
  from quanto import Calibration, QTensor, int4
  from quanto.nn import QLinear
label_desc: Use image node_id 5 for calling a global function with example usage: test_quantize_linear_float32_activations_float8(batch_size, tokens, embeddings, use_bias, weights, activations, device) without return types