Clean up comments

Signed-off-by: Benji Beck <benjibeck@meta.com>

Author: bbeckca

torchao/quantization/quant_api.py

@@ -1336,7 +1336,6 @@ def _int8_weight_only_quantize_tensor(weight, config):
     if group_size is None:
         group_size = weight.shape[-1]
     block_size = tuple([1 for x in range(weight.dim() - 1)] + [group_size])
-    # todo: support fp8 semi-sparse
     new_weight = to_affine_quantized_intx(
         weight,
         mapping_type,
@@ -1585,7 +1584,6 @@ class Float8WeightOnlyConfig(AOBaseConfig):
     weight_dtype: torch.dtype = e4m3_dtype
     set_inductor_config: bool = True
     version: int = 2
-    # todo: add packing format
 
     def __post_init__(self):
         torch._C._log_api_usage_once("torchao.quantization.Float8WeightOnlyConfig")

torchao/quantization/quantize_/common/packing_format.py

@@ -32,4 +32,3 @@ class PackingFormat(str, Enum):
     needed for the rest of the system to understand the specific format that's adopted.
     """
     OPAQUE = "opaque"
-    # todo: add semi-sparse