5 Commits (175ba39c03cf08dd4afb62d513404e00d05ff470)

Author	SHA1	Message	Date
Michał Gallus	540935a825	[Bug-fix][1.6] Improve QAT accuracy (#20174) ... * Leave fake quantization around mul * Replace Fake with Real Quantized Mul * Gather all scales from fake_quantize_ops * Enable uint8 in conv_relu tensors * Disable int8 mul and restore fake mul * Fix buf for running QAT on VGG16 and 19	6 years ago
bingyanghuang	9de6772510	Follow comment of Merged QAT PR 18970 (#19979) ... * Follow Wangzhen's comment in PR 18970, test=develop * Review comments, test=develop * Leave fake quantization around mul test=develop * Replace Fake with Real Quantized Mul test=develop * Fix bug in quantize placement pass Nodes in the graph now have checked type instead of node name when they are to be marked for quantization test=develop	6 years ago
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
bingyanghuang	a25be53cb5	QAT int8 MKL-DNN transformation pass with MUL (#18322)	6 years ago
bingyanghuang	90ebce9ead	QAT int8 MKL-DNN transformation pass (#17819)	6 years ago