UintxLayout¶
- class torchao.dtypes.UintxLayout(dtype: dtype, pack_dim: int = - 1)[source]¶
A layout class for Uintx tensors, which are tensors with elements packed into smaller bit-widths than the standard 8-bit byte. This layout is used to define how the data is stored and processed in UintxTensor objects.
- Variables:
dtype (torch.dtype) – The data type of the tensor elements, which determines the bit-width used for packing.
pack_dim (int) – The dimension along which the data is packed. Default is -1, which indicates the last dimension.
