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Skip top_p computations when set to 1.0 #8905
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Signed-off-by: Olivier Delalleau <507137+odelalleau@users.noreply.github.com>
jenkins |
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This is because we otherwise do useless computations, at least until NVIDIA/NeMo#8905 is merged
odelalleau
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This is because we otherwise do useless computations, at least until NVIDIA/NeMo#8905 is merged Signed-off-by: Olivier Delalleau <507137+odelalleau@users.noreply.github.com>
yidong72
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LGTM.
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jenkins |
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Signed-off-by: Olivier Delalleau <507137+odelalleau@users.noreply.github.com> Co-authored-by: Pablo Garay <palenq@gmail.com>
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Signed-off-by: Olivier Delalleau <507137+odelalleau@users.noreply.github.com> Co-authored-by: Pablo Garay <palenq@gmail.com>
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Signed-off-by: Olivier Delalleau <507137+odelalleau@users.noreply.github.com> Co-authored-by: Pablo Garay <palenq@gmail.com>
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Signed-off-by: Olivier Delalleau <507137+odelalleau@users.noreply.github.com> Co-authored-by: Pablo Garay <palenq@gmail.com> Signed-off-by: Ao Tang <aot@nvidia.com>
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Signed-off-by: Olivier Delalleau <507137+odelalleau@users.noreply.github.com> Co-authored-by: Pablo Garay <palenq@gmail.com>
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What does this PR do ?
This avoid doing useless computations (that may even filter out some tokens due to numerical approximation) when
top_p=1.0
(which is not supposed to have any effect).Collection: nlp
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