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Update dependencies to 11.2
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gpu-flavor/Dockerfile

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@@ -131,7 +131,7 @@ RUN \
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# https://pytorch.org/get-started/locally/
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conda install pytorch cudatoolkit=11.2 -c pytorch -c nvidia && \
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# Install cupy: https://cupy.chainer.org/
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pip install --no-cache-dir cupy-cuda111 && \
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pip install --no-cache-dir cupy-cuda112 && \
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# Install pycuda: https://pypi.org/project/pycuda
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pip install --no-cache-dir pycuda && \
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# Install gpu utils libs
@@ -150,7 +150,7 @@ RUN \
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# Update mxnet to gpu edition
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pip uninstall -y mxnet-mkl && \
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# cuda111 -> >= 11.1
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pip install --no-cache-dir mxnet-cu110 && \
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pip install --no-cache-dir mxnet-cu112 && \
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# install jax: https://github.com/google/jax#pip-installation
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pip install --upgrade jax[cuda111] -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
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# Install pygpu - Required for theano: http://deeplearning.net/software/libgpuarray/

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