Releases: open-ce/open-ce
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.
v1.7.8
Open-CE Version 1.7.8
This is bug fix 8 of release 1.7 of Open Cognitive Environment (Open-CE).
Bug Fix Changes
Changes For open-ce
- Release changes for 1.7.8 (#826)
- add support to build ffmpeg with reduced codecs (#825)
- Include fixes for CVES from upstream Tensorflow 2.12 (open-ce/tensorflow-feedstock#108) and onnx 1.12 (open-ce/onnx-feedstock#42)
- Enable opencv for s390x (#825)
- Add patch to remove vsx suffix in sleef calls for P10 (open-ce/pytorch-feedstock#109)
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 |
|---|---|
| Tensorflow | 2.9.3 with CVE fixes |
| Onnx | 1.12.1 with CVE fixes |
This release of Open-CE supports NVIDIA's CUDA versions 11.2,11.8 as well as Python 3.8,3.9,3.10.
CVEs fixed by OpenCE team
- In addition to CVE fixes backported in Open-CE 1.7.7, we included a few CVE fixes from upstream TensorFlow 2.12, into our Tensorflow's 2.9.3 recipe.
The list of CVEs that are fixed is as follows:
CVE-2023-25664
CVE-2023-25661
- Fix for CVE 2022 25882 has been backported into onnx 1.12 in Open-CE 1.7.7 (#42)
Cumulative list of CVE fixes
CVE fixes done by the OpenCE team in 1.7.x
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-2023-25659
CVE-2022-45907
CVE-2022-25882
Getting Started
To get started with this release, see the main readme
v1.5.7
Open-CE Version 1.5.7
This is bug fix 7 of release 1.5 of Open Cognitive Environment (Open-CE).
Bug Fix Changes
Changes For open-ce
- Release PR for numpy 1.20 branch (#835)
- Release PR for numpy 1.22 branch (#836)
- Add support to build ffmpeg with reduced codecs and openssl (#834)
- Remove wheel pin (#840, #839, open-ce/tensorflow-feedstock#114, open-ce/spacy-feedstock#29 )
- Add opencv for s390x (#841, #842, open-ce/opencv-feedstock#46)
- Fixed build failure on PPC (open-ce/DALI-feedstock#66)
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 |
|---|---|
| ffmpeg | 4.2.2 |
This release of Open-CE supports NVIDIA's CUDA versions 11.2 as well as Python 3.8,3.9.
Getting Started
To get started with this release, see the main readme
v1.9.0
Open-CE Version 1.9.0
This is release 1.9.0 of Open Cognitive Environment (Open-CE).
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 | 1.25.0 |
| deepspeed | 0.8 |
| liblightgbm | 3.3.2 and 3.3.5 |
| av | 10.0 |
| bazel | 5.3.0 |
| boost_mp11 | 1.76.0 |
| cmdstan | 2.31.0 |
| cmdstanpy | 1.1.0 |
| cudatoolkit | 11.8.0 |
| cudatoolkit-dev | 11.8.0 |
| cudnn | 8.8.1 |
| datasets | 2.10.1 |
| dm-tree | 0.1.7 |
| grpc-cpp | 1.41.0 |
| gtest | 1.13.0 |
| horovod | 0.28.0 |
| jpeg-turbo | 2.1.4 |
| keras | 2.12.0 |
| libdate | 3.0.1 |
| libflac | 1.3.3 |
| libiconv | 1.16 |
| libsndfile | 1.0.31 |
| libsolv | 0.7.19 |
| magma | 2.6.1 |
| mamba | 1.4.1 |
| libmamba | 1.4.1 |
| nccl | 2.17.1 |
| numactl | 2.0.16 |
| onnx | 1.13.1 |
| onnxconverter-common | 1.13.0 |
| onnxmltools | 1.11.2 |
| onnxruntime | 1.14.1 |
| libopencv | 4.7.0 |
| openblas | 0.3.23 |
| openmpi | 4.1.4 |
| optional-lite | 3.4.0 |
| orbit-ml | 1.1.4.2 |
| orc | 1.8.2 |
| arrow-cpp | 11.0.0 |
| prophet | 1.1.2 |
| pytorch-base | 2.0.0 |
| pytorch-lightning | 2.0.1 |
| pytorch_geometric | 2.3.0 |
| pytorch-lightning-bolts | 0.6.0 |
| pytorch_scatter | 2.1.1 |
| pytorch_sparse | 0.6.17 |
| torchmetrics | 0.11.4 |
| safeint | 3.0.26 |
| sentencepiece | 0.1.97 |
| skl2onnx | 1.14 |
| spdlog | 1.9.2 |
| tensorboard-data-server | 0.7.0 |
| tensorboard | 2.12.2 |
| tensorflow-addons | 0.19.0 for cpu only |
| tensorflow-datasets | 4.9.2 |
| tensorflow-estimator | 2.12.0 |
| tensorflow-base | 2.12.0 |
| tensorflow-hub | 0.13.0 |
| tensorflow-io | 0.32.0 |
| tensorflow-io-gcs-filesystem | 0.32.0 |
| tensorflow-metadata | 1.13.1 |
| tensorflow-model-optimization | 0.7.4 |
| tensorflow-probability | 0.19.0 |
| tensorflow-text | 2.12.0 |
| tf2onnx | 1.13.0 |
| torchtext-base | 0.15.1 |
| torchvision-base | 0.15.1 |
| libxgboost | 1.7.5 and 1.6.2 |
| xgboost | 1.7.5 and 1.6.2 |
| apache-beam | 2.46.0 |
| 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 | 2.0.1 |
| lightning-cloud | 0.5.32 |
| lightning-fabric | 2.0.1 |
| lightning-utilities | 0.8.0 |
This release of Open-CE supports NVIDIA's CUDA version 11.8 well as Python 3.9 and 3.10. Support for CUDA 11.2 and python 3.8 will be added back in Open-CE 1.9.1. CUDA 11.4 support is dropped.
Getting Started
To get started with this release, see the main readme
Known Issues
There is an issue in isolating CPU packages from CUDA packages when built on same channel. Hence it is recommended to build CPU and CUDA packages into separate channels.
The following pip check failures are known:
deepspeed 0.7.5+06e00f61 requires ninja, which is not installed.
multiprocess 0.70.12.2 has requirement dill>=0.3.4, but you have dill 0.3.1.1.
lightning-bolts 0.6.0.post1 has requirement lightning-utilities==0.7.1, but you have lightning-utilities 0.8.0.
tf-model-optimization-nightly 0.7.4.dev0 has requirement absl-py~=1.2, but you have absl-py 1.0.0.
v1.7.7
Open-CE Version 1.7.7
This is bug fix 7 of release 1.7 of Open Cognitive Environment (Open-CE).
Bug Fix Changes
Changes For open-ce
- Release changes for 1.7.7 (#792)
- Added support to build FIPS enabled packages (#791)
- Updated mamba to 1.4.1 (#791 and open-ce/mamba-feedstock#21)
- Updated rust to 1.65 ( #794)
- Include fixes for CVES from upstream Tensorflow 2.12 (open-ce/tensorflow-feedstock#108)
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 |
|---|---|
| mamba | 1.4.1 |
| Tensorflow | 2.9.3 with CVE fixes |
CVEs fixed by OpenCE team
- We included fixes for several CVEs from upstream TensorFlow 2.12, into our Tensorflow's 2.9.3 recipe.
- OpenCE 1.7.7 also contains the fixed pytorch CVE from OpenCE 1.7.5
The full list of CVEs that are fixed is as follows:
CVE-2022-45907
CVE-2023-25672
CVE-2023-25673
CVE-2023-27579
CVE-2023-25670
CVE-2023-25667
CVE-2023-25660
CVE-2023-25669
CVE-2023-25662
CVE-2023-25663
CVE-2023-25674
CVE-2023-25671
CVE-2023-25659
CVE-2023-25665
CVE-2023-25666
CVE-2023-25676
CVE-2023-25675
CVE-2023-25801
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
v1.7.6
Open-CE Version 1.7.6
This is bug fix 6 of release 1.7 of Open Cognitive Environment (Open-CE).
Changes For open-ce
- Release changes for 1.7.6 (#782)
- PyTorch conda package build for s390x (#781)
- Update uwsgi patch to relax runtime pin for libxml2 and remove libarchive pin (#780)
- Remove libarchive pin (open-ce/mamba-feedstock#17)
- PyTorch feedstock changes for s390x (open-ce/pytorch-feedstock#103)
- numactl conda package build for s390x (open-ce/numactl-feedstock#22)
Package Versions
This release does not update package versions from the ones provided with OpenCE v1.7.5.
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
v1.7.5
Open-CE Version 1.7.5
This is bug fix 5 of release 1.7 of Open Cognitive Environment (Open-CE). It addresses several CVEs.
Changes For open-ce
- Release 175 changes (#768)
- Relax pin for setuptools to 65.* for P9 builds
- Remove wheel pin (#767)
- Apply PyTorch security patch from PR 89925 (open-ce/pytorch-feedstock#102)
- Add fix for bazel shutdown related failures observed on CI on x86
- Update patches in TF family to use protobuf v3.19.6 (open-ce/tensorflow-metadata-feedstock#34, open-ce/tensorflow-text-feedstock#41, open-ce/tensorflow-feedstock#105, open-ce/tensorboard-feedstock#41, open-ce/ray-packages-feedstock#11)
Package Versions
This release does not update package versions from the ones provided with OpenCE v1.7.4
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
v1.7.4
Open-CE Version 1.7.4
This is bug fix 4 of release 1.7 of Open Cognitive Environment (Open-CE).
Changes For open-ce
- Release 1.7.4 changes - all packages are built with zlib 1.2.13 (#729 )
- Enable lightgbm for s390x (#721 )
- Tensorflow and Tensorflow Serving are updated to 2.9.3 release.
- Stop building zlib, llvmdev and mpi for s390x (#751)
- Enable coremltools, onnx and uwsgi for s390x (#750)
- Add sklearn-pandas (#750)
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 |
|---|---|
| Tensorflow | 2.9.3 |
| Tensorflow Serving | 2.9.3 |
| sklearn-pandas | 2.1.0 |
This release of Open-CE supports NVIDIA's CUDA version 11.4 for Python 3.8,3.9,3.10.
Getting Started
To get started with this release, see the main readme
v1.8.0
Open-CE Version 1.8.0
This is release 1.8.0 of Open Cognitive Environment (Open-CE). See #706 for detailed release contents.
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 | 1.19.0 |
| deepspeed | 0.7.5 |
| liblightgbm | 3.3.3 |
| av | 10.0.0 |
| bazel | 5.1.1 |
| boost_mp11 | 1.76.0 |
| cmdstan | 2.29.2 |
| cmdstanpy | 1.0.7 |
| cudatoolkit | 11.2.2 and 11.4.4 |
| cudatoolkit-dev | 11.2.2 and 11.4.4 |
| cudnn | 8.3.0.98 |
| datasets | 2.7.1 |
| dm-tree | 0.1.5 |
| grpc-cpp | 1.41.0 |
| gtest | 1.10.0 |
| horovod | 0.26.1 |
| jpeg-turbo | 2.1.4 |
| keras | 2.10.0 |
| libdate | 3.0.1 |
| libflac | 1.3.3 |
| libiconv | 1.16 |
| libsndfile | 1.0.31 |
| libsolv | 0.7.19 |
| magma | 2.6.1 |
| mamba | 1.0.0 |
| libmamba | 1.0.0 |
| nccl | 2.12.7 |
| numactl | 2.0.12 |
| onnx | 1.12 |
| onnxconverter-common | 1.13.0 |
| onnxmltools | 1.11.1 |
| onnxruntime | 1.13.1 |
| libopencv | 4.6.0 |
| openblas | 0.3.21 |
| openmpi | 4.1.4 |
| optional-lite | 3.4.0 |
| orbit-ml | 1.1.1 |
| orc | 1.8.0 |
| arrow-cpp | 10.0.0 |
| prophet | 1.1.1 |
| pybind11-abi | 4 |
| pytorch-base | 1.13.0 for CUDA 11.4 and cpu |
| pytorch-base | 1.10.2 for CUDA 11.2 |
| pytorch-lightning | 1.8.2 |
| pyDeprecate | 0.3.2 |
| pytorch_geometric | 2.1.0 |
| pytorch-lightning-bolts | 0.6.0 |
| pytorch_scatter | 2.0.8 |
| pytorch_sparse | 0.6.10 |
| torchmetrics | 0.8.1 |
| ray_all | 2.0.1 |
| ray-tune | 2.0.1 |
| reproc | 14.2.3 |
| safeint | 3.0.26 |
| sentencepiece | 0.1.96 |
| skl2onnx | 1.13 |
| spdlog | 1.9.2 |
| tensorboard-data-server | 0.6.1 |
| tensorboard | 2.10.1 |
| tensorflow-addons | 0.18.0 |
| tensorflow-datasets | 4.7.0 |
| tensorflow-estimator | 2.10.0 |
| tensorflow-base | 2.10.1 |
| tensorflow-hub | 0.12.0 |
| tensorflow-io | 0.27.0 |
| tensorflow-io-gcs-filesystem | 0.27.0 |
| tensorflow-metadata | 1.11.0 |
| tensorflow-model-optimization | 0.7.3 |
| tensorflow-probability | 0.18.0 |
| tensorflow-text | 2.10.0 |
| tensorflow-serving | 2.10.1 |
| termcolor-cpp | 2.0.0 |
| tf2onnx | 1.13.0 |
| torchtext-base | 0.14.0 for CUDA 11.4 and cpu |
| torchtext-base | 0.11.2 for CUDA 11.2 |
| torchvision-base | 0.14.0 for CUDA 11.4 and cpu |
| torchvision-base | 0.11.3 for CUDA 11.2 |
| typeguard | 2.12.0 |
| libxgboost | 1.7.1 |
| xgboost | 1.7.1 |
| yaml-cpp | 0.6.3 |
| apache-beam | 2.42 |
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
Notes
- CUDA support
- This is the last major OpenCE release to support CUDA 11.2.
- CUDA 11.2 limitations:
- The OpenCE recipes build CUDA 11.2 packages only for Python 3.8 and 3.9, not for 3.10
- The PyTorch OpenCE recipe builds PyTorch 1.10. PyTorch 1.13 is only built for CPU and CUDA 11.4.
Known Issues
The following pip check failures are known:
deepspeed 0.7.5+06e00f61 requires ninja, which is not installed.
skl2onnx 1.13 has requirement scikit-learn<=1.1.1, but you have scikit-learn 1.1.3.
pyro-ppl 1.8.3 has requirement torch>=1.11.0, but you have torch 1.10.2.
arviz 0.11.2 has requirement typing-extensions<4,>=3.7.4.3, but you have typing-extensions 4.4.0.
multiprocess 0.70.12.2 has requirement dill>=0.3.4, but you have dill 0.3.1.1.
v1.7.3
Open-CE Version 1.7.3
This is bug fix 3 of release 1.7 of Open Cognitive Environment (Open-CE).
Bug Fix Changes
Changes For open-ce
- Release 1.7.3 changes (#710)
- update numba patch (#709)
- Import p10 conda_build_config in opence-p10-env file (#707)
- Added Apache-beam in Open-CE (#700)
- update numba patch to unpin setuptools (#702)
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 |
|---|---|
| mamba | 0.27 |
| Apache-beam | 2.41.0 |
| SnapML | 1.8.12 |
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