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Edit: /usr/local/lib64/python3.6/site-packages/torch/quantization/utils.py (833B)
# 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, )