Optimizations #2
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Signed-off-by: quic-sanising <quic_sanising@quicinc.com>
Perform random sampling only on topk_values_asc Only need logits for probs when self.return_pdfs is True
quic-sanising
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Apr 24, 2025
* Initial commit * Reformat code * Fix bug * Add Gumbel-Max trick based random sampling * Bring up to date * Use Gumbel-Max Trick based Random Sampling as default * Clip k to max value * Add docstring for sampling parameters * Fix bug * Add support for continuous batching * Fix ONNX error for batch_size 1 treated as a Constant * Undo docstring deletion * Remove device and unncessary reshapes * Revert batch_size to 1 * Remove vocab_size from dynamic axes * Change condition * Change size of each sampling parameter to (batch_size, 1) * Reformat code * Add optimizations * Identify optimizations * Fix bug * Fix merge issue * Optimizations: Perform random sampling only on topk_values_asc Only need logits for probs when self.return_pdfs is True * Remove where clause for temperature * Remove boolean type casting for retain state * Always return next_tokens * Fix bug * Reformat code * Initialize retain states * Optimize imports * Remove torch.index_select() * Change dtype of penalty buffers to bool --------- Signed-off-by: quic-sanising <quic_sanising@quicinc.com>
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