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# flake8: noqa: F401
r"""
Utils shared by different modes of quantization (eager/graph)
This file is in the process of migration to `torch/ao/quantization`, and
is kept here for compatibility while the migration process is ongoing.
If you are adding a new entry/functionality, please, add it to the
`torch/ao/quantization/utils.py`, while adding an import statement
here.
"""
from torch.ao.quantization.utils import (
activation_dtype,
activation_is_int8_quantized,
activation_is_statically_quantized,
calculate_qmin_qmax,
check_min_max_valid,
get_combined_dict,
get_qconfig_dtypes,
get_qparam_dict,
get_quant_type,
get_swapped_custom_module_class,
getattr_from_fqn,
is_per_channel,
is_per_tensor,
weight_dtype,
weight_is_quantized,
weight_is_statically_quantized,
)
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