mirror of
https://github.com/zebrajr/pytorch.git
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3ad797c937
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/46293 Test Plan: Imported from OSS Reviewed By: raghuramank100 Differential Revision: D24290811 fbshipit-source-id: 7d2aee98e1946c2a4268efb94443f1e5daaa793e
57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
from .quantize import *
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from .observer import *
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from .qconfig import *
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from .fake_quantize import *
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from .fuse_modules import fuse_modules
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from .stubs import *
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from .quant_type import *
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from .quantize_jit import *
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from .quantize_fx import *
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from .quantization_mappings import *
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from .fuser_method_mappings import *
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def default_eval_fn(model, calib_data):
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r"""
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Default evaluation function takes a torch.utils.data.Dataset or a list of
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input Tensors and run the model on the dataset
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"""
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for data, target in calib_data:
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model(data)
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_all__ = [
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'QuantWrapper', 'QuantStub', 'DeQuantStub',
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# Top level API for eager mode quantization
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'quantize', 'quantize_dynamic', 'quantize_qat',
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'prepare', 'convert', 'prepare_qat',
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# Top level API for graph mode quantization on TorchScript
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'quantize_jit', 'quantize_dynamic_jit',
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# Top level API for graph mode quantization on GraphModule(torch.fx)
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'fuse_fx', 'quantize_fx', # TODO: add quantize_dynamic_fx
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'prepare_fx', 'prepare_dynamic_fx', 'convert_fx',
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'QuantType', # quantization type
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# custom module APIs
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'register_static_quant_module_mapping',
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'get_static_quant_module_mappings', 'get_static_quant_module_class',
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'register_dynamic_quant_module_mapping',
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'get_dynamic_quant_module_mappings',
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'register_qat_module_mapping',
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'get_qat_module_mappings',
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'get_qconfig_propagation_list',
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'get_compare_output_module_list',
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'register_quantized_operator_mapping', 'get_quantized_operator',
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'register_fuser_method', 'get_fuser_method',
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# Sub functions for `prepare` and `swap_module`
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'propagate_qconfig_', 'add_quant_dequant', 'add_observer_', 'swap_module',
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'default_eval_fn', 'get_observer_dict',
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'register_activation_post_process_hook',
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# Observers
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'ObserverBase', 'WeightObserver', 'observer', 'default_observer',
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'default_weight_observer',
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# QConfig
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'QConfig', 'default_qconfig', 'default_dynamic_qconfig', 'float16_dynamic_qconfig',
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# QAT utilities
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'default_qat_qconfig', 'prepare_qat', 'quantize_qat',
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# module transformations
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'fuse_modules',
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]
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