Tune parallelism in Softmax op #258
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- Avoid parallelism entirely if the total number of output elements is small - If the output is large enough to justify parallelism but the lanes are small, process multiple lanes in each parallel chunk The smaller GPT-2 models for example have many small softmaxes, for which avoid parallelism entirely is more efficient.
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The smaller GPT-2 models for example have many small softmaxes, for which avoiding parallelism entirely is more efficient.