Fix failing FP6 benchmark (pytorch#931)

benchmarks/benchmark_fp6.py

@@ -1,15 +1,15 @@
 import torch
 import pandas as pd
 import torch.nn.functional as F
-from torchao.dtypes import to_affine_quantized_floatx
+from torchao.dtypes import to_affine_quantized_fpx
 from torchao.dtypes.floatx import FloatxTensorCoreAQTLayout, FloatxTensorCoreLayoutType
 from torchao.utils import benchmark_torch_function_in_microseconds
 from tqdm import tqdm
 
 
 def benchmark(m: int, k: int, n: int):
     float_data = torch.randn(n, k, dtype=torch.half, device="cuda")
-    fp6_weight = to_affine_quantized_floatx(float_data, FloatxTensorCoreLayoutType(3, 2))
+    fp6_weight = to_affine_quantized_fpx(float_data, FloatxTensorCoreLayoutType(3, 2))
     fp16_weight = fp6_weight.dequantize(torch.half)
 
     fp16_act = torch.randn(m, k, dtype=torch.half, device="cuda")