class_docstr: Class that represents a Pinhole Camera model.
  
  Args:
      intrinsics: tensor with shape :math:`(B, 4, 4)`
        containing the full 4x4 camera calibration matrix.
      extrinsics: tensor with shape :math:`(B, 4, 4)`
        containing the full 4x4 rotation-translation matrix.
      height: tensor with shape :math:`(B)` containing the image height.
      width: tensor with shape :math:`(B)` containing the image width.
  
  .. note::
      We assume that the class attributes are in batch form in order to take
      advantage of PyTorch parallelism to boost computing performance.
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docstr: Set the y-coordinate of the translation vector with the given value.
docstr_tok: ["Set","the","y-coordinate","of","the","translation","vector","with","the","given","value","."]
code: def tz(self, value: Union[Tensor, float]) -> "PinholeCamera":
      r"""Set the y-coordinate of the translation vector with the given value."""
      self.extrinsics[..., 2, -1] = value
      return self
  
imports: from typing import Iterable, List, Union
  import torch
  from kornia.core import Device, Tensor, eye, stack, zeros
  from kornia.core.check import KORNIA_CHECK_SAME_DEVICE
  from kornia.geometry.conversions import convert_points_from_homogeneous, convert_points_to_homogeneous
  from kornia.geometry.linalg import inverse_transformation, transform_points
  from kornia.utils.helpers import _torch_inverse_cast
label_desc: Use image node_id 19 for calling the PinholeCamera obj's underlying member method code with example usage: obj.tz(value) and returns: self