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Wojciech Uss 4286a6270d Add support for new QAT models (#18970) ... * Add support for new QAT models test=develop Co-Authored-By: Michał Gallus <michal.gallus@intel.com> Co-Authored-By: Wojciech Uss <wojciech.uss@intel.com> * fixed fps results test=develop * fix top5 accuracy drop problem * updated for new QAT models * skip quantizing average pooling - dirty but working * add missing pass * added missing conv+brelu fuse pass * removed a call to non-existent pass test=develop * renamed pass test=develop * Adjust finding pooling scale to newest QAT models * Remove unnecessary code from quantization_mkldnn_pass * Copy Pooling input scale to output scale in QAT * Refactor & remove unused code in QAT * Incorporate fp32 FC into QAT test=develop * Enable graph drawing with debug flag test=develop * Add tests for QATv2 * Fix paths for QATv2 models test=develop * Add option to save transformed int8 qat model test=develop * Remove redundant lines from qat mkldnn pass test=develop * Delegate disablement of avg pooling to qat test=develop * fix CI bug, test=develop * Follow Wangzhen's Review, test=develop * Update API.spec test=develop * Name False in (is_unsigned, TensorScale) tuple test=develop		6 years ago
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__init__.py	QAT int8 MKL-DNN transformation pass (#17819)	6 years ago
mkldnn_post_training_strategy.py	clean up intel labeled TODOs (#19476)	6 years ago
quantization_mkldnn_pass.py	Add support for new QAT models (#18970)	6 years ago
quantization_pass.py	add fake_quant_dequant_op for average pool2d, test=develop (#19880)	6 years ago
quantization_strategy.py	[PaddleSlim] Enhence compressor api in PaddleSlim (#19894)	6 years ago