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### Details: QAT documentation for NNCF Torch and NNCF Tensorflow is spitted on two pages * quantization-aware-training-pytorch.rst is QAT by `nncf.quantize` method documentation * quantization-aware-training-tensorflow.rst file is a copy of original quantization-aware-training.rst without the PyTorch part Link to generated doc: http://openvino-doc.iotg.sclab.intel.com/nncf-docs/openvino-workflow/model-optimization-guide/compressing-models-during-training.html ### Tickets: - 129586 --------- Co-authored-by: Tatiana Savina <tatiana.savina@intel.com> |
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| pruning_tf.py | ||
| pruning_torch.py | ||
| qat_tf.py | ||
| qat_torch.py | ||
| weight_compression_openvino.py | ||