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fix torchao renaming issue #2277

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Merged
merged 1 commit into from
Sep 9, 2025
Merged

fix torchao renaming issue #2277

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13 changes: 8 additions & 5 deletions ...orch/algorithms/fp8_quant/_core/quantized_func_wrappers/cpu/cpu_quantized_func_wrapper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,10 @@
from ..quantized_func_wrapper import QuantizedFuncWrapperBase, OP_TYPE, QuantizedFuncWrapperFactory

import torch
import torchao
from torchao.quantization.quant_primitives import (
_quantize_affine_float8,
_dequantize_affine_float8,
)

from abc import ABCMeta

Expand All @@ -32,7 +35,7 @@ def __init__(self, scale_format, is_dynamic=False):
class QuantizedCPUQuant(QuantizedCPUFuncWrapperBase):

def get_default_quantized_func(self):
return torch.ops.torchao.quantize_affine_float8
return _quantize_affine_float8

def __call__(self, input, scale, zero_point=None, axis=0, quant_min=None, quant_max=None, dtype=torch.float8_e4m3fn):
return self._quantized_func_(tensor=input, scale=torch.tensor(scale), float8_dtype=dtype)
Expand All @@ -41,7 +44,7 @@ def __call__(self, input, scale, zero_point=None, axis=0, quant_min=None, quant_
class QuantizedCPUQuantPC(QuantizedCPUFuncWrapperBase):

def get_default_quantized_func(self):
return torch.ops.torchao.quantize_affine_float8
return _quantize_affine_float8

def __call__(self, input, scale, zero_point=None, axis=0, quant_min=None, quant_max=None, dtype=torch.float8_e4m3fn):
return self._quantized_func_(tensor=input, scale=scale.view((-1, 1)), float8_dtype=dtype)
Expand All @@ -50,7 +53,7 @@ def __call__(self, input, scale, zero_point=None, axis=0, quant_min=None, quant_
class QuantizedCPUDeQuant(QuantizedCPUFuncWrapperBase):

def get_default_quantized_func(self):
return torch.ops.torchao.dequantize_affine_float8
return _dequantize_affine_float8

def __call__(self, input, scale, zero_point=None, axis=0, quant_min=None, quant_max=None, dtype=torch.float8_e4m3fn, out_dtype=torch.bfloat16):
return self._quantized_func_(tensor=input, scale=torch.tensor(scale), output_dtype=out_dtype)
Expand All @@ -59,7 +62,7 @@ def __call__(self, input, scale, zero_point=None, axis=0, quant_min=None, quant_
class QuantizedCPUDeQuantPC(QuantizedCPUFuncWrapperBase):

def get_default_quantized_func(self):
return torch.ops.torchao.dequantize_affine_float8
return _dequantize_affine_float8

def __call__(self, input, scale, zero_point=None, axis=0, quant_min=None, quant_max=None, dtype=torch.float8_e4m3fn, out_dtype=torch.bfloat16):
return self._quantized_func_(tensor=input, scale=scale.view((1, -1)), output_dtype=out_dtype)
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