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Merged
merged 6 commits into from
Sep 26, 2025
Merged

make mxtensor printing nicer #3068

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vkuzo Sep 25, 2025
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3 changes: 2 additions & 1 deletion torchao/prototype/mx_formats/inference_workflow.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@
QuantizeTensorToNVFP4Kwargs,
per_tensor_amax_to_scale,
)
from torchao.quantization.quant_api import _quantization_type
from torchao.quantization.transform_module import (
register_quantize_module_handler,
)
Expand Down Expand Up @@ -89,7 +90,7 @@ def __post_init__(self):


def _linear_extra_repr(self):
return f"in_features={self.weight.shape[1]}, out_features={self.weight.shape[0]}, weight={repr(self.weight)}"
return f"in_features={self.weight.shape[1]}, out_features={self.weight.shape[0]}, weight={_quantization_type(self.weight)}"


@register_quantize_module_handler(MXFPInferenceConfig)
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3 changes: 3 additions & 0 deletions torchao/prototype/mx_formats/mx_tensor.py
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Expand Up @@ -544,6 +544,9 @@ def __repr__(self):
# TODO better elem dtype print for fp4
return f"MXTensor: elem_dtype: {self._elem_dtype}, s_e8m0: {self._scale_e8m0}, d: {self.qdata}, act_quant_kwargs: {self.act_quant_kwargs}" # noqa: E501

def _quantization_type(self):
return f"{self._elem_dtype=}, {self._block_size=}, {self._orig_dtype=}, {self._gemm_kernel_choice=}, {self.act_quant_kwargs=}"

@classmethod
def __torch_dispatch__(cls, func, types, args, kwargs=None):
# avoid circular dependency
Expand Down
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