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2e6394565a
* add sync batchnorm * replace random.choice with hash * fifty percent reduction * fix discriminator input * restore dataset.py * Remove duplicates * add discriminator_ratio to config * fix onnx export bug: replace round() with int() * Fix embedding naming * Introduce ModelWithConfigCheckpoint callback (#86) * Fix dist ini * Style: Refactor typing and improve code clarity in training.py (#88) * Add type casting for trainer params * Add type casting for trainer params * Add type casting for trainer params * Remove inplace activations for torch.compile compatibility (#89) * Fix README * improvise with norm layers & weighted average * add skip layer * use gelu instead of leaky_relu * cleanup * cleanup * Update dependencies * Different defaults and enable validation * Different defaults and enable validation * Revert to higher batch size * Just use copy over copy2 --------- Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com> Co-authored-by: NeuroDonu <112660822+NeuroDonu@users.noreply.github.com> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>