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Upgrade tensorflow to version to 2.6.x #10084
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lhutton1
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Thanks @ophirfrish! Just a small thing below
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lhutton1
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LGTM!
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I'm using this PR to generate a set of temporary Docker images so that we can validate the proposed change: https://ci.tlcpack.ai/blue/organizations/jenkins/docker-images-ci%2Fdaily-docker-image-rebuild/detail/daily-docker-image-rebuild/204/pipeline |
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New attempt to generate docker images https://ci.tlcpack.ai/blue/organizations/jenkins/docker-images-ci%2Fdaily-docker-image-rebuild/detail/daily-docker-image-rebuild/208/pipeline, after fixing tlc-pack/tlcpack#87. |
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@jtuyls @anilmartha, in the process of updating TF to 2.6 we (@ophirfrish @Mousius and me) bumped into an issue that Can you please review and in case you disagree, propose some options to those changes? |
@leandron Could we keep the h5py being installed separately in the vitis_ai_core.sh script: https://github.com/apache/tvm/pull/10084/files#diff-7773869aa5e34502bbaa476fe3339c2e3956199b0be759084feee12fe8bcdfe1L37? |
Sure, and with regards to versions, do you want to keep it as is, with version 2.x or update to be coherent with the one installed in TVM, which means h5py 3.x ? |
Yeah, I think it's best to keep it as is (2.10.0) for now and I can work on updating it later to 3.x. I think 3.x works but I would like to completely verify that first. |
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After the last changes, I'm rebuilding the Docker images again to re-run tests - https://ci.tlcpack.ai/blue/organizations/jenkins/docker-images-ci%2Fdaily-docker-image-rebuild/detail/daily-docker-image-rebuild/230/pipeline/ |
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With the latest version of this PR, rebased on top of main at |
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This is validated in https://ci.tlcpack.ai/blue/organizations/jenkins/tvm/detail/ci-docker-staging/232/pipeline/, covering up to 4797850. @ophirfrish can you trigger CI again, so that I can merge this? |
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Upgrade the following versions: keras - from 2.4.3 to 2.6 tensorflow - from 2.4.2 to 2.6.2 h5py - from version < 3.0 to version 3.1.0
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leandron
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LGTM, thanks @ophirfrish!
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This is merged now, as it is running in production CI starting on Thanks @ophirfrish @lhutton1 and @jtuyls! |
Upgrade the following versions: keras - from 2.4.3 to 2.6 tensorflow - from 2.4.2 to 2.6.2 h5py - from version < 3.0 to version 3.1.0
Upgrade the following versions:
keras - from 2.4.3 to 2.6
tensorflow - from 2.4.2 to 2.6.2
h5py - from version < 3.0 to version 3.1.0
cc @areusch @leandron @Mousius @gromero for reviews
Co-authored-by: Chris Sidebottom [email protected]