TensorStore encodes chunks of shape (x_size, y_size, z_size, c_size) with width=x_sizey_size, height=z_size, while cloud-volume uses width=x_size, height=y_sizez_size.
With this change, Neuroglancer will accept any width/height as long as width * height = x_size * y_size * s_zize. This loose checking was already used for the JPEG format.
TensorStore encodes chunks of shape (x_size, y_size, z_size, c_size) with width=x_sizey_size, height=z_size, while cloud-volume uses width=x_size, height=y_sizez_size.
With this change, Neuroglancer will accept any width/height as long as
width * height = x_size * y_size * s_zize. This loose checking was already used for the JPEG format.Fixes https://github.com/google/tensorstore/issues/196