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fix: migrate FP8 support from float8_experimental to torchao #618

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fix: migrate FP8 support from float8_experimental to torchao #618

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2512b58
refactor quantization interface to use torchao for FP8 support and up…
aryasaatvik Jul 10, 2025
c2a202f
Update pyproject.toml
michaelfeil Aug 28, 2025
9d13111
Delete libs/infinity_emb/poetry.lock
michaelfeil Aug 28, 2025
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15 changes: 5 additions & 10 deletions libs/infinity_emb/infinity_emb/transformer/quantization/interface.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,20 +51,15 @@ def quant_interface(model: Any, dtype: Union[Dtype] = Dtype.int8, device: Device
model.to(device_orig)
elif device == Device.cuda and dtype in [Dtype.fp8, torch.float8_e5m2]:
try:
from float8_experimental.float8_dynamic_linear import ( # type: ignore
Float8DynamicLinear,
)
from float8_experimental.float8_linear_utils import ( # type: ignore
swap_linear_with_float8_linear,
)
from torchao.quantization import quantize_, float8_dynamic_activation_float8_weight
except ImportError:
raise ImportError(
"float8_experimental is not installed."
"https://github.com/pytorch-labs/float8_experimental "
"with commit `88e9e507c56e59c5f17edf513ecbf621b46fc67d`"
"FP8 quantization requires torchao. "
"Install with: pip install torchao\n"
)
logger.info("using dtype=fp8")
swap_linear_with_float8_linear(model, Float8DynamicLinear)
# Use quantize_ with the float8 configuration
quantize_(model, float8_dynamic_activation_float8_weight())
else:
raise ValueError(f"Quantization is not supported on {device} with dtype {dtype}.")
return model
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