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@@ -18,7 +18,7 @@ | |||
# | |||
# Dockerfile to run MXNet on Ubuntu 16.04 for CPU | |||
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FROM nvidia/cuda:10.0-cudnn7-devel | |||
FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 |
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Ubuntu 18 was intentional, I think
@KellenSunderland
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I'll remove that - and we can move it to a different PR if necessary
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Not a massive deal either way. I think both are fairly well supported.
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@KellenSunderland Could you please review/merge this if it looks ok for you? |
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Thank you so much for the fix, let's merge it so contributors only need to rebase once.
@roywei thank you ^^ I'm not a comitter, so I can't T_T |
* Pins libnvinfer versions * Sets cudnn to version 7.5.0 in tensorrt environment * Re-enables TensorRT stages
Description
TensorRT steps were blocking CI (see #14961). It seems there's been a change in the nvidia apt repository. Then
libnvinfer-dev
seems to have been updated and no longer was getting installed properly. This PR updates the TensorRT environment pinning these dependencies.After the initial commit, the compilation stage was passing, but the test stage failed. It complained that TensorRT had been compiled with cuDNN 7.5.0 but was linking against 7.5.1 (which comes stock in the nvidia/cuda:10.0-cudnn7-devel image used as the base image). So, in a subsequent commit, I've had to pin the cuDNN version to 7.5.0.
Checklist
Essentials
Please feel free to remove inapplicable items for your PR.
Changes
Pins TensorRT dependency versions and cudnn version