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Need to tune performance for MXNet & TensorFlow for seq2seq #2099

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astonzhang opened this issue Apr 13, 2022 · 1 comment · Fixed by #2104

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astonzhang commented Apr 13, 2022

http://preview.d2l.ai.s3-website-us-west-2.amazonaws.com/d2l-en/master/chapter_recurrent-modern/seq2seq.html
http://preview.d2l.ai.s3-website-us-west-2.amazonaws.com/d2l-en/master/chapter_attention-mechanisms/bahdanau-attention.html
http://preview.d2l.ai.s3-website-us-west-2.amazonaws.com/d2l-en/master/chapter_attention-mechanisms/transformer.html

We need to tune performance for MXNet & TensorFlow to obtain similar performance of PyTorch for each section, such as learning rate & max_epochs.

astonzhang assigned AnirudhDagar

AnirudhDagar mentioned this issue

tune learning rate bahdanau-attention #2104

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astonzhang mentioned this issue

Improve evaluation results for Batch norm #2108

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AnirudhDagar closed this as completed in #2104

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AnirudhDagar commented May 16, 2022

http://preview.d2l.ai.s3-website-us-west-2.amazonaws.com/d2l-en/master/chapter_attention-mechanisms/bahdanau-attention.html was fixed in #2104. seq2seq and transformers for TF still need fixing.

AnirudhDagar reopened this

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