Rename AQT#2 LayoutType -> Layout

[jainapurva]

PR changes:

Current Layout/Layout type confusing and not corresponding to pytorch layout

• Current LayoutType class and aqt.layout_type corresponds to tensor.layout in pytorch
• Rename
  - “LayoutType” to “Layout”
  - “aqt.layout_type” to “aqt._layout” for more alignment with pytorch native Tensor
  - _layout -> layout for public API

This change also breaks backwards compatibility for all users that explicitly defined the layout_type parameter:

BC-breaking note:

Prev PR: #1046 -> Layout renamed to TensorImpl

# Before
class AQTLayout(TorchAOBaseTensor):
...

# After
class AQTTensorImpl(TorchAOBaseTensor):
...

• LayoutType's renamed to Layout
• For quant_api's () the layout_type param has been renamed to layout.
• Affected APIs:
  - int4_weight_only
  - int8_dynamic_activation_int8_weight
  - int8_dynamic_activation_int8_semi_sparse_weight

# Before change
def int4_weight_only(group_size=128, layout_type=TensorCoreTiledLayoutType(inner_k_tiles=8), use_hqq=False):
...

quantize_(int4_weight_only(group_size=128, layout_type=TensorCoreTiledLayoutType(inner_k_tiles=8), use_hqq=False))

# After change
def int4_weight_only(group_size=128, layout=TensorCoreTiledLayout(inner_k_tiles=8), use_hqq=False):
...

quantize_(int4_weight_only(group_size=128, layout=TensorCoreTiledLayout(inner_k_tiles=8), use_hqq=False))

[pytorch-bot]

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[jerryzh168]

Looks good, can you update the summary with bc breaking note? maybe we just need one for both PRs