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py2 code #12
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Hi, we won't provide a python 2 version but if you want to do a python 2/3 compatible version feel free to open a PR. |
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* add ort config for debertav2 model * remove prints * remove old commented code * fix run style error * add flake ignore comment * trial to fix blackify format error
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Add Layer Scaling & Upcast/Reordering Flags + Functionality
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* Update trainer and model flows to accommodate sparseml Disable FP16 on QAT start (huggingface#12) * Override LRScheduler when using LRModifiers * Disable FP16 on QAT start * keep wrapped scaler object for training after disabling Using QATMatMul in DistilBERT model class (huggingface#41) Removed double quantization of output of context layer. (huggingface#45) Fix DataParallel validation forward signatures (huggingface#47) * Fix: DataParallel validation forward signatures * Update: generalize forward_fn selection Best model after epoch (huggingface#46) fix sclaer check for non fp16 mode in trainer (huggingface#38) Mobilebert QAT (huggingface#55) * Remove duplicate quantization of vocabulary. enable a QATWrapper for non-parameterized matmuls in BERT self attention (huggingface#9) * Utils and auxillary changes update Zoo stub loading for SparseZoo 1.1 refactor (huggingface#54) add flag to signal NM integration is active (huggingface#32) Add recipe_name to file names * Fix errors introduced in manual cherry-pick upgrade Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com>
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…ests Fixes in Tokenization Tests
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if I convert code to python2 version of code, it can't converage ; Would you present py2 code?
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