Rename Floating point to fp8 (#909)

Author: jainapurva

torchao/dtypes/affine_quantized_tensor.py

@@ -1360,7 +1360,7 @@ def _linear_f16_act_floatx_weight_impl(input_tensor, weight_tensor, bias):
 
     return out.view(*act.shape[:-1], out_dim).to(act.dtype)
 
-def _linear_fp_act_fp8_weight_check(
+def _linear_fp8_act_fp8_weight_check(
     input_tensor: Union[torch.Tensor, AffineQuantizedTensor],
     weight_tensor: Union[torch.Tensor, AffineQuantizedTensor],
     bias: Optional[torch.Tensor],
@@ -1384,7 +1384,7 @@ def preprocess_scale(input_scale: torch.Tensor, input_shape: Tuple[int]):
 
     return input_scale
 
-def _linear_fp_act_fp8_weight_impl(
+def _linear_fp8_act_fp8_weight_impl(
     input_tensor: AffineQuantizedTensor,
     weight_tensor: AffineQuantizedTensor,
     bias: Optional[torch.Tensor],
@@ -1473,7 +1473,7 @@ def _register_aqt_quantized_linear_dispatches():
     for dispatch_condition, impl in [
         (_linear_int8_act_int8_weight_check, _linear_int8_act_int8_weight_impl),
         (_linear_int8_act_int8_weight_semi_structured_sparse_check, _linear_int8_act_int8_weight_semi_structured_sparse_impl),
-        (_linear_fp_act_fp8_weight_check, _linear_fp_act_fp8_weight_impl),
+        (_linear_fp8_act_fp8_weight_check, _linear_fp8_act_fp8_weight_impl),
         (_linear_bf16_act_uint4_weight_check, _linear_bf16_act_uint4_weight_impl),
         (_linear_fp_act_int8_weight_check, _linear_fp_act_int8_weight_impl),
         (_linear_f16_act_floatx_weight_check, _linear_f16_act_floatx_weight_impl),