remove the set_inductor_config argument of quantize_.#1865
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…h (#2681) In pytorch/ao#1865, torchao removed `set_inductor_config` argument from `torchao.quantization.quant_api.quantize_` Co-authored-by: Srikanth Ramakrishna <srikanth.ramakrishna@intel.com>
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…h (#2681) In pytorch/ao#1865, torchao removed `set_inductor_config` argument from `torchao.quantization.quant_api.quantize_` Co-authored-by: Srikanth Ramakrishna <srikanth.ramakrishna@intel.com>
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Summary:
Finishing the migration in #1715. Specifically:
set_inductor_configargument ofquantize_is removedset_inductor_configargument, defaulting to True: AWQUIntXConfig, IntNWeightOnlyConfig, SmoothQuantConfig, Int8DynamicActivationInt4WeightConfig, Int4DynamicActivationInt4WeightConfig, GemliteUIntXWeightOnlyConfig, Int4WeightOnlyConfig, Int8WeightOnlyConfig, Int8DynamicActivationInt8WeightConfig, Float8WeightOnlyConfig, Float8DynamicActivationFloat8WeightConfig, Float8DynamicActivationFloat8WeightConfig, Float8StaticActivationFloat8WeightConfig, Float8StaticActivationFloat8WeightConfig, UIntXWeightOnlyConfig, FPXWeightOnlyConfig. I skipped quantized training and non-AQT workflows from this, since I expect them to not need this setting.Before
After
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