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Fix failing FP6 benchmark #931

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Sep 25, 2024
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4 changes: 2 additions & 2 deletions benchmarks/benchmark_fp6.py
Original file line number Diff line number Diff line change
@@ -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")
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