Releases: open-ce/open-ce
v1.11.1
Open-CE Version 1.11.1
This is bug fix 1 of release 1.11 of Open Cognitive Environment (Open-CE).
Changes For open-ce
- Release 1.11.1 changes (#1174)
- Add werkzeug in common-deps env (#1169)
- Fix build tree creation issue on s390x and update orjson commit (#1163)
- Fix CVE-2024-28088 CVE-2024-1455 of langchain and orjson CVE-2024-27454 (#1162)
- Fix of CVEs in open-ce 1.11 (#1160)
- Use pybind11 from Anaconda (#1150)
- Build numpy for P10 (#1159)
- Update mamba v1.5.7 (#38)
- Fix CVE-2024-27318 by update onnx to v1.16.0 (open-ce/onnx-feedstock#48)
- Pin werkzeug v3.0.3 to fix CVE-2024-34069 (open-ce/tensorboard-feedstock#51)
- Update openblas to v0.3.27 (open-ce/openblas-feedstock#18)
CVEs fixed by OpenCE team
Fix for CVE-2024-24762 from upstream python-multipart v0.0.7 is backported in our python-multipart recipe.
Fix for CVE-2024-21503 from upstream black v24.3.0 is backported in our black recipe.
Fix for CVE-2023-29159 from upstream starlette is backported in our starlette recipe.
CVE-2024-34069
CVE-2024-24762
CVE-2023-29159
CVE-2024-27454
CVE-2024-27318
CVE-2024-28088
CVE-2024-3568
CVE-2024-21503
CVE-2024-1455
CVE-2024-27319
Package Versions
This release updates the following packages from the ones provided with OpenCE v1.11.0
| Package | Version |
|---|---|
| onnx | 1.16.0 |
| openblas | 0.3.27 |
| transformers | 4.38.0 |
| langchain | 0.1.13 |
| mamba | 1.5.7 |
This release of Open-CE supports NVIDIA's CUDA versions 11.8,12.2 as well as Python 3.10,3.11. These packages built on UBI9 system
Getting Started
To get started with this release, see the main readme
v1.11.0
Open-CE Version 1.11.0
This is release 1.11.0 of Open Cognitive Environment (Open-CE).
Important Notes
- CV-CUDA is disabled in DALI for PPC.
- Jax and Jaxlib packages not available for PPC CUDA.
Package Versions
A release of Open-CE consists of the environment files within the open-ce repository and a collection of feedstock repositories. The feedstock repositories contain recipes for various python packages. The following packages (among others) are part of this release:
| Package | Version |
|---|---|
| dali | 1.32.0 |
| deepspeed | 0.11.1 |
| liblightgbm | 3.3.5 and 4.2.0 |
| av | 10.0.0 |
| bazel | 5.3.0 |
| boost_mp11 | 1.76.0 |
| cmdstan | 2.33.1 |
| cmdstanpy | 1.2.0 |
| cudatoolkit | 11.8.0 and 12.2.0 |
| cudatoolkit-dev | 11.8.0 and 12.2.0 |
| cudnn | 8.9.2 |
| datasets | 2.16.1 |
| dm-tree | 0.1.8 |
| grpc-cpp | 1.54.3 |
| gtest | 1.13.0 |
| horovod | 0.28.1 |
| jpeg-turbo | 2.1.4 |
| keras | 2.14.0 |
| libdate | 3.0.1 |
| libflac | 1.3.3 |
| libsndfile | 1.0.31 |
| libsolv | 0.7.24 |
| magma | 2.6.1 |
| mamba | 1.5.6 |
| libmamba | 1.5.6 |
| nccl | 2.19.3 |
| numactl | 2.0.16 |
| onnx | 1.15.0 |
| onnxconverter-common | 1.14.0 |
| onnxmltools | 1.12.0 |
| onnxruntime | 1.16.3 |
| libopencv | 4.8.0 |
| openblas | 0.3.26 |
| openmpi | 4.1.5 |
| optional-lite | 3.4.0 |
| orbit-ml | 1.1.4.2 |
| orc | 1.9.0 |
| arrow-cpp | 15.0.1 |
| prophet | 1.1.5 |
| pytorch-base | 2.1.2 |
| pytorch-lightning | 2.1.3 |
| pytorch_geometric | 2.4.0 |
| pytorch-lightning-bolts | 0.7.0 |
| pytorch_scatter | 2.1.2 |
| pytorch_sparse | 0.6.18 |
| torchmetrics | 1.2.1 |
| safeint | 3.0.26 |
| sentencepiece | 0.1.99 |
| skl2onnx | 1.15.0 |
| tensorboard-data-server | 0.7.0 |
| tensorboard | 2.14.0 |
| tensorflow-addons | 0.21.0 |
| tensorflow-datasets | 4.9.4 |
| tensorflow-estimator | 2.14.0 |
| tensorflow-base | 2.14.0 |
| tensorflow-hub | 0.15.0 |
| tensorflow-io | 0.35.0 |
| tensorflow-io-gcs-filesystem | 0.35.0 |
| tensorflow-metadata | 1.14.0 |
| tensorflow-model-optimization | 0.7.5 |
| tensorflow-probability | 0.22.1 |
| tensorflow-text | 2.14.0 |
| tf2onnx | 1.15.1 |
| torchtext-base | 0.16.2 |
| torchvision-base | 0.16.2 |
| libxgboost | 2.0.3 |
| xgboost | 2.0.3 |
| apache-beam | 2.53.0 |
| Jax | 0.4.23 |
| Array-record | 0.2.0 |
| bazel-toolchain | 0.1.5 |
| ffmpeg | 4.2.2 |
| Protobuf | 4.21.12 |
| libprotobuf | 3.21.12 |
| lightning-app | 2.1.13 |
| lightning-cloud | 0.5.57 |
| lightning-fabric | 2.1.3 |
| lightning-utilities | 0.10.0 |
| snapml | 1.14.6 |
| starlette | 0.25.0 |
| cryptography | 41.0.4 |
| tokenizers | 0.15.2 |
| ray | 2.9.2 |
| langchain | 0.1.6 |
| rust | 1.77.0 |
| transformer | 4.36.2 |
| tiktoken | 0.6.0 |
This release of Open-CE supports NVIDIA's CUDA versions 11.8, 12.2 as well as Python 3.10, 3.11.
Getting Started
To get started with this release, see the main readme
Known Issues
The following pip check failures are known:
deepspeed 0.11.1+e9503fe40 requires ninja, which is not installed.
apache-beam 2.53.0 has requirement grpcio==1.53.0, but you have grpcio 1.54.3.
opencensus 0.7.13 has requirement google-api-core<2.0.0,>=1.0.0, but you have google-api-core 2.10.1.
tensorflow-datasets 4.9.4 has requirement array-record>=0.5.0; platform_system == "Linux", but you have array-record 0.2.0.
v1.8.1
Open-CE Version 1.8.1
This is bug fix 1 of release 1.8 of Open Cognitive Environment (Open-CE).
Changes For open-ce
- release changes for 1.8.1 (#756)
- common changes for release 1.8.1 (#736)
- add or-tools package (#736)
- Enable onnx conda package for s390x (#749)
- Enable uwsgi for s390x in OpenCE (#747)
- fix for numpy performance issue (#736)
- add cpu in build string and fix build failure (open-ce/openmpi-feedstock#32)
Package Versions
This release updates the following packages from the ones provided with OpenCE v1.8.0
| Package | Version |
|---|---|
| Apache Beam | 2.43.0 |
| PyTorch | 1.13.1 |
| TorchText | 0.14.1 |
| TorchVision | 0.14.1 |
| Deepspeed | 0.7.7 |
| PyArrow | 10.0.1 |
| Ray | 2.2.0 |
| PyTorch Geometric | 2.2.0 |
| PyTorch Lightning | 1.8.6 |
| LightGBM | 3.3.4 |
| DALI | 1.21.0 |
| Tensorflow MetaData | 1.12.0 |
| Tensorflow Datasets | 4.8.2 |
| sklearn-pandas | 2.1.0 |
| mamba | 1.1.0 |
| XGBoost | 1.7.3 |
| SentencePiece | 0.1.97 |
| ortools | 9.2 |
| SnapML | 1.11.1 |
This release of Open-CE supports NVIDIA's CUDA versions 11.2,11.4 as well as Python 3.8,3.9,3.10.
Getting Started
To get started with this release, see the main readme
v1.9.4
Open-CE Version 1.9.4
This is bug fix 4 of release 1.9 of Open Cognitive Environment (Open-CE).
Bug Fix Changes
Changes For open-ce
- Release updates for 1.9.4 (#1000)
- Use openssl3 from Anaconda (#991)
- Disable jax env temporarily(#1001)
- Enable jax env (#1004)
- Changes for p10 gcc-toolset-12 (#1008)
- GCC 12 support (open-ce/onnx-feedstock#46, open-ce/orc-feedstock#14, open-ce/opencv-feedstock#50, open-ce/pyarrow-feedstock#54, open-ce/jaxlib-feedstock#12, open-ce/pytorch-feedstock#121, #1008, open-ce/bazel-feedstock#40, open-ce/torchtext-feedstock#50, open-ce/sentencepiece-feedstock#42, open-ce/tensorflow-feedstock#126, open-ce/tensorflow-io-gcs-filesystem-feedstock#25, open-ce/onnxruntime-feedstock#36)
- Allow boost-cpp to be installed alongside boost_mp11 (open-ce/boost_mp11-feedstock#7)
- Added importedlib_metadata to cudatoolkit recipe (open-ce/cudatoolkit-feedstock#12)
- Using Anaconda openssl, so disable FIPS patch (open-ce/mamba-feedstock#34)
- Add patch for CVE fix from PR27776 (open-ce/transformers-feedstock#41)
CVEs fixed by OpenCE team
The following CVE fix from upstream transformers is incorporated into our transformers recipe via add patch for CVE fix from (huggingface/transformers#27776)
CVE-2023-7018
CVE-2023-6730
Cumulative list of CVE fixes
CVE fixes done by the OpenCE team in 1.9.x
CVE-2023-2800
CVE-2023-47248
CVE-2023-7018
CVE-2023-6730
Package Versions
A release of Open-CE consists of the environment files within the open-ce repository and a collection of feedstock repositories. The feedstock repositories contain recipes for various python packages. The package versions are same as that in OpenCE v1.9.3, but these are now built with OpenSSL 3 from Anaconda.
This release of Open-CE supports NVIDIA's CUDA versions 11.8 as well as Python 3.8,3.9,3.10.
Getting Started
To get started with this release, see the main readme
v1.7.10
Open-CE Version 1.7.10
This is bug fix 10 of release 1.7 of Open Cognitive Environment (Open-CE).
Changes For open-ce
- 1.7.10 Release changes (#959)
- Update uwsgi commit to v2.0.22 (#955)
- add patch for CVE fix from PR38608 for pyarrow (#53)
CVEs fixed by OpenCE team
The following CVE fix from upstream PyArrow 14.0.1 is incorporated into our PyArrow recipe via add patch for CVE fix from PR38608 open-ce/pyarrow-feedstock#53
CVE-2023-47248
Cumulative list of CVE fixes
CVE fixes done by the OpenCE team in 1.7.x
CVE-2023-2800
CVE-2023-27579
CVE-2023-25801
CVE-2023-25676
CVE-2023-25675
CVE-2023-25674
CVE-2023-25673
CVE-2023-25672
CVE-2023-25671
CVE-2023-25670
CVE-2023-25669
CVE-2023-25668
CVE-2023-25667
CVE-2023-25666
CVE-2023-25665
CVE-2023-25664
CVE-2023-25663
CVE-2023-25662
CVE-2023-25661
CVE-2023-25660
CVE-2023-25660
CVE-2023-25659
CVE-2022-45907
CVE-2022-25882
CVE-2023-47248
Package Versions
A release of Open-CE consists of the environment files within the open-ce repository and a collection of feedstock repositories. The feedstock repositories contain recipes for various python packages. The following packages (among others) are part of this release:
| Package | Version |
|---|---|
| uwsgi | 2.0.22 |
This release of Open-CE supports NVIDIA's CUDA versions 11.2,11.4 as well as Python 3.8,3.9,3.10.
Getting Started
To get started with this release, see the main readme
v1.9.3
Open-CE Version 1.9.3
This is bug fix 3 of release 1.9 of Open Cognitive Environment (Open-CE).
Changes For open-ce
- update fastapi and starlette commits (#953)
- Release changes for 193 (#954)
- Revert "Release changes for 193 (#954)" #957
- Release changes for 193 (#958)
- add patch for CVE fix from PR38608 for pyarrow (#52)
CVEs fixed by OpenCE team
The following CVE fix from upstream PyArrow 14.0.1 is incorporated into our PyArrow recipe via add patch for CVE fix from PR38608 open-ce/pyarrow-feedstock#52
CVE-2023-47248
Cumulative list of CVE fixes
CVE fixes done by the OpenCE team in 1.9.x
CVE-2023-2800
CVE-2023-47248
Package Versions
A release of Open-CE consists of the environment files within the open-ce repository and a collection of feedstock repositories. The feedstock repositories contain recipes for various python packages. The following packages (among others) are part of this release:
| Package | Version |
|---|---|
| starlette | 0.27.0 |
| fastapi | 0.95.2 |
This release of Open-CE supports NVIDIA's CUDA versions 11.2,11.8 as well as Python 3.8,3.9,3.10.
Getting Started
To get started with this release, see the main readme
v1.7.9
Open-CE Version 1.7.9
This is bug fix 9 of release 1.7 of Open Cognitive Environment (Open-CE).
Bug Fix Changes
Important notes
- As OpenSSL 1.1 is now out of support by Anaconda and the OpenSSL team, OpenCE now contains an OpenSSL
1.1.1zzpackage. This package links to the OpenSSL 1.1.1 version provided by RedHat, as this version is still supported. Hence, it requires that the target environment has the RedHat OpenSSL installed. - This version does not provide Ray. If you require Ray, stay on 1.7.8
Changes For open-ce
- Release changes for 1.7.9 (#897)
- Fixed cargo bundle failure and update grpcio changes in all env (#896)
- Updated grpcio to 1.53.0 (#892)
- Update gym patch to pin setuptools (#894)
- Update pin of typing_extensions (#898)
- Build cryptography 39 for PPC (#899,#900)
- Update setuptools to fix cryptography-vectors for cuda 11.2 (#902)
- Update zlib source url (#903)
- Add grpcio in tf-servng env (#904)
- Build zlib in opensslenv for cuda11.2 (#907)
- Disable ray for ppc as well (#908)
- Fixed grpcio on cuda 11.2 platform (#909)
- Fixes for build failure on s390x (#906)
- Enable mistakenly disabled opencv (#915)
- Fixed cryptography failure (#916)
- Add wheel pin to avoid build failure (open-ce/pytorch-lightning-feedstock#55)
- Update openssl build string (open-ce/openssl-feedstock#4)
- Pin libcurl to 7.88.1 and disable fips patch for s390x (open-ce/mamba-feedstock#26, open-ce/mamba-feedstock#29)
Package Versions
A release of Open-CE consists of the environment files within the open-ce repository and a collection of feedstock repositories. The feedstock repositories contain recipes for various python packages. The following packages (among others) are part of this release:
| Package | Version |
|---|---|
| openssl | 1.1.1zz for x86 and ppc64le |
| cryptography | 41.0.4 for s390x and x86 |
| cryptography | 39.0.1 for ppc64le |
| transfomers | 4.19.2 and 4.17.0 |
| tokenizers | 0.13.3 |
| grpcio | 1.53.0 |
| rust | 1.71.1 |
| sentencepiece | 0.1.97 |
This release of Open-CE supports NVIDIA's CUDA versions 11.2,11.8 as well as Python 3.8,3.9,3.10.
Note: Packages on s390x are built with Anaconda's OpenSSL v3.
Packages for CUDA 11.2 are built with setuptools 61.*.
CVEs fixed by OpenCE team
- Fix for CVE-2023-2800 from upstream Transformers v4.30 is backported into our Transformers's recipe. (open-ce/transformers-feedstock#39)
- Fix for CVE-2023-25660 is backported into our Tensorflow v2.9.3 recipe (open-ce/tensorflow-feedstock#122)
Cumulative list of CVE fixes
CVE fixes done by the OpenCE team in 1.7.x
CVE-2023-2800
CVE-2023-27579
CVE-2023-25801
CVE-2023-25676
CVE-2023-25675
CVE-2023-25674
CVE-2023-25673
CVE-2023-25672
CVE-2023-25671
CVE-2023-25670
CVE-2023-25669
CVE-2023-25668
CVE-2023-25667
CVE-2023-25666
CVE-2023-25665
CVE-2023-25664
CVE-2023-25663
CVE-2023-25662
CVE-2023-25661
CVE-2023-25660
CVE-2023-25660
CVE-2023-25659
CVE-2022-45907
CVE-2022-25882
Getting Started
To get started with this release, see the main readme
v1.10.0
Open-CE Version 1.10.0
This is release 1.10.0 of Open Cognitive Environment (Open-CE).
Important Notes
- Support for Python 3.11
- Support for CUDA 12.2
- The packages are built with OpenSSL v3 from Anaconda.
- CUDA 11.2 is no longer supported
- Python 3.8 is no longer supported
Package Versions
A release of Open-CE consists of the environment files within the open-ce repository and a collection of feedstock repositories. The feedstock repositories contain recipes for various python packages. The following packages (among others) are part of this release:
| Package | Version |
|---|---|
| dali | 1.28.0 |
| deepspeed | 0.10.0 |
| liblightgbm | 3.3.5 and 4.0.0 |
| av | 10.0.0 |
| bazel | 5.3.0 |
| boost_mp11 | 1.76.0 |
| cmdstan | 2.31.0 |
| cmdstanpy | 1.1.0 |
| cudatoolkit | 11.8.0 and 12.2.0 |
| cudatoolkit-dev | 11.8.0 and 12.2.0 |
| cudnn | 8.9.2 |
| datasets | 2.14.4 |
| dm-tree | 0.1.8 |
| grpc-cpp | 1.54.3 |
| gtest | 1.13.0 |
| horovod | 0.28.0 |
| jpeg-turbo | 2.1.4 |
| keras | 2.13.1 |
| libdate | 3.0.1 |
| libflac | 1.3.3 |
| libsndfile | 1.0.31 |
| libsolv | 0.7.24 |
| magma | 2.6.1 |
| mamba | 1.4.9 |
| libmamba | 1.4.9 |
| nccl | 2.18.3 |
| numactl | 2.0.16 |
| onnx | 1.14.0 |
| onnxconverter-common | 1.14.0 |
| onnxmltools | 1.11.2 |
| onnxruntime | 1.15.1 |
| libopencv | 4.8.0 |
| openblas | 0.3.23 |
| openmpi | 4.1.5 |
| optional-lite | 3.4.0 |
| orbit-ml | 1.1.4.2 |
| orc | 1.9.0 |
| arrow-cpp | 12.0.1 |
| prophet | 1.1.4 |
| pytorch-base | 2.0.1 |
| pytorch-lightning | 2.0.6 |
| pytorch_geometric | 2.3.1 |
| pytorch-lightning-bolts | 0.7.0 |
| pytorch_scatter | 2.1.1 |
| pytorch_sparse | 0.6.17 |
| torchmetrics | 0.11.4 |
| safeint | 3.0.26 |
| sentencepiece | 0.1.97 |
| skl2onnx | 1.15.0 |
| tensorboard-data-server | 0.7.0 |
| tensorboard | 2.13.0 |
| tensorflow-addons | 0.21.0 |
| tensorflow-datasets | 4.9.2 |
| tensorflow-estimator | 2.13.0 |
| tensorflow-base | 2.13.0 |
| tensorflow-hub | 0.14.0 |
| tensorflow-io | 0.33.0 |
| tensorflow-io-gcs-filesystem | 0.33.0 |
| tensorflow-metadata | 1.13.1 |
| tensorflow-model-optimization | 0.7.5 |
| tensorflow-probability | 0.20.0 |
| tensorflow-text | 2.13.0 |
| tf2onnx | 1.15.0 |
| torchtext-base | 0.15.2 |
| torchvision-base | 0.15.2 |
| libxgboost | 1.7.6 |
| xgboost | 1.7.6 |
| apache-beam | 2.49.0 |
| Jax | 0.4.7 |
| Array-record | 0.2.0 |
| bazel-toolchain | 0.1.5 |
| ffmpeg | 4.2.2 |
| Protobuf | 4.21.12 |
| libprotobuf | 3.21.12 |
| lightning-app | 2.0.6 |
| lightning-cloud | 0.5.37 |
| lightning-fabric | 2.0.7 |
| lightning-utilities | 0.8.0 |
| snapml | 1.14.2 |
| starlette | 0.25.0 |
| cryptography | 41.0.4 |
| tokenizers | 0.13.3 |
| ray | 2.6.3 |
This release of Open-CE supports NVIDIA's CUDA versions 11.8, 12.2 as well as Python 3.9,3.10,3.11.
Getting Started
To get started with this release, see the main readme
Known Issues
The following pip check failures are known:
deepspeed 0.10.0+f5c834a6e requires ninja, which is not installed.
tf2onnx 1.15.0 has requirement flatbuffers<3.0,>=1.12, but you have flatbuffers 23.1.21.
tf2onnx 1.15.0 has requirement protobuf~=3.20.2, but you have protobuf 4.21.12.
v1.9.2
Open-CE Version 1.9.2
This is bug fix 2 of release 1.9 of Open Cognitive Environment (Open-CE).
Bug Fix Changes
Important Notes
- As OpenSSL 1.1 is now out of support by Anaconda and the OpenSSL team, OpenCE now contains an OpenSSL 1.1.1zz package. This package links to the OpenSSL 1.1.1 version provided by RedHat, as this version is still supported. Hence, it requires that the target environment has RedHat OpenSSL installed.
- This version does not provide Ray. If you require Ray, stay on 1.9.1
Changes For open-ce
- Release changes for OpenCE v1.9.2 (#887)
- Fix numpy patch (#886)
- OpenCE 1.9.2 changes (#885)
- Update tokenizers pin (#888)
- Changes for cryptography to v41.0.4 (#891)
- Cryptography v39.* changes for ppc (#893)
- Update openssl to add filter (#901)
- Update zlib source url (#905)
- Changes to build grpcio with openssl3 on s390x (#910)
- Add git pin for s390x (#912)
- Update cryptography patch for s390x (#913)
- Skip test that fails on ci env (#914)
- Build zlib in openssl-env for cuda11.2 (#917)
- Fix conflicts for cuda 11.2 (#920)
- Pin pandas in sklearn-pandas patch (#921)
- Disable FIPS patch for mamba for s390x (open-ce/mamba-feedstock#28)
- Update openssl build string (open-ce/openssl-feedstock#3)
Package Versions
A release of Open-CE consists of the environment files within the open-ce repository and a collection of feedstock repositories. The feedstock repositories contain recipes for various python packages. The following packages (among others) are part of this release:
| Package | Version |
|---|---|
| openssl | 1.1.1zz for x86 and ppc64le |
| cryptography | 41.0.4 for s390x and x86 |
| cryptography | 39.0.1 for ppc64le |
| transfomers | 4.19.2 and 4.17.0 |
| tokenizers | 0.13.3 |
| grpcio | 1.53.0 |
| rust | 1.71.1 |
| sentencepiece | 0.1.97 |
| starlette | 0.25.0 |
| SnapML | 1.13.1 |
This release of Open-CE supports NVIDIA's CUDA versions 11.2,11.8 as well as Python 3.8,3.9,3.10.
Note: Packages on s390x are built with Anaconda's OpenSSL v3.
Packages for CUDA 11.2 are built with setuptools 61.*.
CVEs fixed by OpenCE team
The following CVE fix from upstream Transformers v4.30 is incorporated into our Transformers's recipe. (open-ce/transformers-feedstock#37)
The list of CVEs that are fixed is as follows:
CVE-2023-2800
Getting Started
To get started with this release, see the main readme
v1.9.1
Open-CE Version 1.9.1
This is bug fix 1 of release 1.9 of Open Cognitive Environment (Open-CE).
Bug Fix Changes
Changes For open-ce
- Release PR for 1.9.1 (#851)
- Fix conflicts for cuda 11.2 with gcc 11 (#849)
- Stopped building a few packages as they are available in anaconda (#850)
- disable pytorch and dependendent packages for cuda 11.2 (#848)
- Fixed protobuf for new pip (#847)
- disable pytorch_geometric env for cuda 11.2 (#846)
- Fix TF serving env import for non-P10 builds (#845)
- remove occurences of ffmpeg-env from other envs (#844)
- Fixed aioredis patch to allow python 3.10.* and 1.9.1 items (#843)
- Fixed jaxlib on P10 (#813)
Package Versions
A release of Open-CE consists of the environment files within the open-ce repository and a collection of feedstock repositories. The feedstock repositories contain recipes for various python packages. The following packages (among others) are part of this release:
| Package | Version |
|---|---|
| xgboost | 1.7.6 |
| DALI | 1.26 |
| Pytorch | 2.0.1 |
| Ray | 2.5.0 |
| Tensorflow-addons | 0.19.0 |
| Tensorflow Serving | 2.12.1 |
| Onnxruntime | 1.15.1 |
| mamba | 1.4.2 |
| Tensorboard | 2.12.0 |
| Apache-beam | 2.48.0 |
This release of Open-CE supports NVIDIA's CUDA versions 11.2,11.8 as well as Python 3.9,3.10. All the packages are built with openssl 1.*.
Getting Started
To get started with this release, see the main readme
Known Issues
There are some known pip check failures listed here #821.