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aa40503954
Summary: Add a global custon module support list for the users to specify the modules they want the equalization process support. To use this list, import it from the _equalize.py file and append module in it. Unittest passed to check global support list: https://pxl.cl/28RKG Test Plan: buck1 test mode/dev //on_device_ai/odai/tests/transforms:test_transforms -- --exact 'on_device_ai/odai/tests/transforms:test_transforms - test_custom_support_list (on_device_ai.odai.tests.transforms.test_input_weight_for_turing.TestInputWeight)' Reviewed By: jerryzh168 Differential Revision: D38264244 Pull Request resolved: https://github.com/pytorch/pytorch/pull/82606 Approved by: https://github.com/HDCharles
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
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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appropriate files under `torch/ao/quantization/fx/`, while adding an import statement
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here.
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"""
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from torch.ao.quantization.fx._equalize import (
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reshape_scale,
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_InputEqualizationObserver,
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_WeightEqualizationObserver,
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calculate_equalization_scale,
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EqualizationQConfig,
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input_equalization_observer,
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weight_equalization_observer,
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default_equalization_qconfig,
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fused_module_supports_equalization,
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nn_module_supports_equalization,
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custom_module_supports_equalization,
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node_supports_equalization,
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is_equalization_observer,
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get_op_node_and_weight_eq_obs,
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maybe_get_weight_eq_obs_node,
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maybe_get_next_input_eq_obs,
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maybe_get_next_equalization_scale,
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scale_input_observer,
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scale_weight_node,
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scale_weight_functional,
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clear_weight_quant_obs_node,
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remove_node,
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update_obs_for_equalization,
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convert_eq_obs,
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_convert_equalization_ref,
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get_layer_sqnr_dict,
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get_equalization_qconfig_dict,
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CUSTOM_MODULE_SUPP_LIST,
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)
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