
quant_max (int64) -- upper bound of the quantized domain

Returns:
      A newly fake_quantized per channel "torch.float32" tensor
Return type:
      Tensor
Example:
  >>> x = torch.randn(2, 2, 2)
  >>> x
  tensor([[[-0.2525, -0.0466],
           [ 0.3491, -0.2168]],

          [[-0.5906,  1.6258],
           [ 0.6444, -0.0542]]])
  >>> scales = (torch.randn(2) + 1) * 0.05
  >>> scales
  tensor([0.0475, 0.0486])
  >>> zero_points = torch.zeros(2).to(torch.int32)
  >>> zero_points
  tensor([0, 0])
  >>> torch.fake_quantize_per_channel_affine(x, scales, zero_points, 1, 0, 255)
  tensor([[[0.0000, 0.0000],
           [0.3405, 0.0000]],

          [[0.0000, 1.6134],
          [0.6323, 0.0000]]])
