[Docker] Update tensorflow/tflite/xgboost versions #8306
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Tensorflow update required following update to cuda 11.0. Based on https://www.tensorflow.org/install/source#gpu, the 2.4 branch of tensorflow should be used with cuda 11.0. - Removed pinned version of keras/h5py, no longer needed. tensorflow/tensorflow#44467 (comment) - Updated tflite version to 2.4.2. Also, tflite install script now reads the installed version of tensorflow, to keep the version matched in the future.
Previously, due to missing quotes, installed most recent version of xgboost, piping the results to a file named '=1.1.0'. Now, installs xgboost at least at version 1.1.0.
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mbrookhart
approved these changes
Jun 22, 2021
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Thanks @Lunderberg |
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This was my fault, I'm sorry. The Ubuntu repository for llvm was broken yesterday, so the docker build failed for unrelated reasons before I hit this, I should have waited |
Lunderberg
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Jun 23, 2021
Similar to apache#8312, the recently merged apache#8306 required tflite to be installed after tf. However, apache#8306 did not correct the ordering in the dockerfiles. After this and apache#8312, all dockerfiles should be up to date with the correct ordering.
Lunderberg
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Jun 23, 2021
Similar to apache#8312, the recently merged apache#8306 required tflite to be installed after tf. However, apache#8306 did not correct the ordering in the dockerfiles. After this and apache#8312, all dockerfiles should be up to date with the correct ordering.
Lunderberg
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Jun 24, 2021
Similar to apache#8312, the recently merged apache#8306 required tflite to be installed after tf. However, apache#8306 did not correct the ordering in the dockerfiles. After this and apache#8312, all dockerfiles should be up to date with the correct ordering.
ylc
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Sep 29, 2021
* [Docker] Updated tensorflow/tflite version to 2.4.2 Tensorflow update required following update to cuda 11.0. Based on https://www.tensorflow.org/install/source#gpu, the 2.4 branch of tensorflow should be used with cuda 11.0. - Removed pinned version of keras/h5py, no longer needed. tensorflow/tensorflow#44467 (comment) - Updated tflite version to 2.4.2. Also, tflite install script now reads the installed version of tensorflow, to keep the version matched in the future. * [Docker] Corrected version pinning of xgboost Previously, due to missing quotes, installed most recent version of xgboost, piping the results to a file named '=1.1.0'. Now, installs xgboost at least at version 1.1.0. Co-authored-by: Eric Lunderberg <elunderberg@octoml.ai>
ylc
pushed a commit
to ylc/tvm
that referenced
this pull request
Sep 29, 2021
Similar to apache#8312, the recently merged apache#8306 required tflite to be installed after tf. However, apache#8306 did not correct the ordering in the dockerfiles. After this and apache#8312, all dockerfiles should be up to date with the correct ordering. Co-authored-by: Eric Lunderberg <elunderberg@octoml.ai>
zxy844288792
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Mar 4, 2022
* [Docker] Updated tensorflow/tflite version to 2.4.2 Tensorflow update required following update to cuda 11.0. Based on https://www.tensorflow.org/install/source#gpu, the 2.4 branch of tensorflow should be used with cuda 11.0. - Removed pinned version of keras/h5py, no longer needed. tensorflow/tensorflow#44467 (comment) - Updated tflite version to 2.4.2. Also, tflite install script now reads the installed version of tensorflow, to keep the version matched in the future. * [Docker] Corrected version pinning of xgboost Previously, due to missing quotes, installed most recent version of xgboost, piping the results to a file named '=1.1.0'. Now, installs xgboost at least at version 1.1.0. Co-authored-by: Eric Lunderberg <elunderberg@octoml.ai>
zxy844288792
pushed a commit
to zxy844288792/tvm
that referenced
this pull request
Mar 4, 2022
Similar to apache#8312, the recently merged apache#8306 required tflite to be installed after tf. However, apache#8306 did not correct the ordering in the dockerfiles. After this and apache#8312, all dockerfiles should be up to date with the correct ordering. Co-authored-by: Eric Lunderberg <elunderberg@octoml.ai>
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Updated tensorflow version to 2.4.2, required following update to cuda 11.0. Based on https://www.tensorflow.org/install/source#gpu, the 2.4 branch of tensorflow should be used with cuda 11.0.
Removed pinned version of h5py, no longer needed with tensorflow 2.4.x
h5py==3.0.0 causes issues with keras model loads in tensorflow 2.1.0 tensorflow/tensorflow#44467 (comment)
Updated tflite version to 2.4.2. Also, tflite install script now reads the installed version of tensorflow, to keep the version matched in the future.
Previously, due to missing quotes, installed most recent version of xgboost, piping the results to a file named '=1.1.0'. Now, installs xgboost at least at version 1.1.0.