/usr/local/lib64/python3.6/site-packages/torch/quantization
NameSizeModeActions
fx/-0755rm
__pycache__/-0755rm
fake_quantize.py10070644editdlrm
fuser_method_mappings.py5100644editdlrm
fuse_modules.py9070644editdlrm
observer.py10780644editdlrm
qconfig.py9070644editdlrm
quantization_mappings.py11470644editdlrm
quantize.py14740644editdlrm
quantize_fx.py245430644editdlrm
quantize_jit.py6780644editdlrm
quant_type.py4380644editdlrm
stubs.py4080644editdlrm
utils.py8330644editdlrm
_numeric_suite.py7790644editdlrm
_numeric_suite_fx.py7520644editdlrm
__init__.py26090644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/torch/quantization/fake_quantize.py (1007B)
# flake8: noqa: F401 r""" 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/fake_quantize.py`, while adding an import statement here. """ from torch.ao.quantization.fake_quantize import ( _is_per_channel, _is_per_tensor, _is_symmetric_quant, FakeQuantizeBase, FakeQuantize, FixedQParamsFakeQuantize, FusedMovingAvgObsFakeQuantize, default_fake_quant, default_weight_fake_quant, default_symmetric_fixed_qparams_fake_quant, default_affine_fixed_qparams_fake_quant, default_per_channel_weight_fake_quant, default_histogram_fake_quant, default_fused_act_fake_quant, default_fused_wt_fake_quant, default_fused_per_channel_wt_fake_quant, _is_fake_quant_script_module, disable_fake_quant, enable_fake_quant, disable_observer, enable_observer, )