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Summary: TO support on device quantization this diff introduces observer insertion. Specifically observers are inserted by adding new method with prefix observ_. Intent is that post training, this method will be run to record statistics Test Plan: test_ondevice_quantization.py Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D38771417](https://our.internmc.facebook.com/intern/diff/D38771417) Pull Request resolved: https://github.com/pytorch/pytorch/pull/83568 Approved by: https://github.com/jerryzh168
27 lines
713 B
Python
27 lines
713 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/quantize_jit.py`, while adding an import statement
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here.
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"""
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from torch.ao.quantization.quantize_jit import (
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_check_is_script_module,
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_check_forward_method,
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script_qconfig,
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script_qconfig_dict,
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fuse_conv_bn_jit,
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_prepare_jit,
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prepare_jit,
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prepare_dynamic_jit,
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_prepare_ondevice_dynamic_jit,
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_convert_jit,
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convert_jit,
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convert_dynamic_jit,
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_quantize_jit,
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quantize_jit,
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quantize_dynamic_jit
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)
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