Allow to run in CPU-only mode #48
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Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
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Oct 11, 2019
Signed-off-by: Oleksii Kuchaiev <[email protected]>
Signed-off-by: Oleksii Kuchaiev <[email protected]>
including beam search installation script for MacOS * "start_here" examples run * "ASR_made_simple.ipynb" notebook is able to train (painfully slow) * "InferenceWithBeamSearch.ipynb" was able to run inference Signed-off-by: Oleksii Kuchaiev <[email protected]>
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…VIDIA-NeMo#48) Signed-off-by: Xuesong Yang <[email protected]> Co-authored-by: Xuesong Yang <[email protected]>
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For getting started, toy examples and, perhaps, some inference scenarios it might be beneficial to allow running on CPU only (and not requiring APEX install and pytorch cuda).
The scenario I use as a test case is running some examples on MacBook pro (without proper GPU).