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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/64814 1. move the file ``` hg mv caffe2/torch/quantization/fake_quantize.py caffe2/torch/ao/quantization/ ``` 2. create a new file in the old location and copy the imports 3. fix all callsites inside `torch` Test Plan: ``` buck test mode/dev //caffe2/test:quantization ``` Reviewed By: z-a-f Differential Revision: D30866792 fbshipit-source-id: 7a221cb46c0ab01f1c5de9be061f09ecc83ce23e
33 lines
1007 B
Python
33 lines
1007 B
Python
# flake8: noqa: F401
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r"""
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This file is in the process of migration to `torch/ao/quantization`, and
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is kept here for compatibility while the migration process is ongoing.
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If you are adding a new entry/functionality, please, add it to the
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`torch/ao/quantization/fake_quantize.py`, while adding an import statement
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here.
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"""
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from torch.ao.quantization.fake_quantize import (
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_is_per_channel,
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_is_per_tensor,
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_is_symmetric_quant,
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FakeQuantizeBase,
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FakeQuantize,
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FixedQParamsFakeQuantize,
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FusedMovingAvgObsFakeQuantize,
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default_fake_quant,
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default_weight_fake_quant,
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default_symmetric_fixed_qparams_fake_quant,
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default_affine_fixed_qparams_fake_quant,
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default_per_channel_weight_fake_quant,
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default_histogram_fake_quant,
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default_fused_act_fake_quant,
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default_fused_wt_fake_quant,
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default_fused_per_channel_wt_fake_quant,
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_is_fake_quant_script_module,
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disable_fake_quant,
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enable_fake_quant,
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disable_observer,
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enable_observer,
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)
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