algoperf-benchmark-0.1.5

Summary

• Finalized variant workload targets.
• Fix in random_utils helper function.
• For conformer PyTorch Dropout layers set inplace=True.
• Clear CUDA cache at begining of each trial for PyTorch.

What's Changed

• update speech variants target setting points by @priyakasimbeg in #727
• set num_workers for librispeech back to 4 by @priyakasimbeg in #736
• [fix] random_utils.py to _signed_to_unsigned by @tfaod in #739
• Fix path in helper config for running experiments in bulk. by @priyakasimbeg in #740
• Finalize variants targets by @priyakasimbeg in #738
• Aiming to Fix Conformer OOM by @pomonam in #710
• Lint fixes by @priyakasimbeg in #742
• Add warning for PyTorch data loader num_workers flag. by @priyakasimbeg in #726

Full Changelog: algoperf-benchmark-0.1.4...algoperf-benchmark-0.1.5