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We do not need per-version numpy anymore
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numba
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# We need to pin numpy version to the same as the torch testing environment
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# which still supports python 3.8
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numpy==1.21.2; python_version < '3.11'
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numpy==1.26.0; python_version >= '3.11'

torchbenchmark/models/tacotron2/requirements.txt

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# We need to pin numpy version to the same as the torch testing environment
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# which still supports python 3.8
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numpy==1.21.2; python_version < '3.11'
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numpy==1.26.0; python_version >= '3.11'
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numpy
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inflect
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scipy
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Unidecode
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git+https://github.com/facebookresearch/detectron2.git@0df2d73d0013db7de629602c23cc120219b4f2b8
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omegaconf==2.3.0
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# We need to pin numpy version to the same as the torch testing environment
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# which still supports python 3.8
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numpy==1.21.2; python_version < '3.11'
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numpy==1.26.0; python_version >= '3.11'
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numpy

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