102 lines
2.0 KiB
YAML
102 lines
2.0 KiB
YAML
spack:
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view: false
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packages:
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all:
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target: ["aarch64"]
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require:
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- target=aarch64
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- ~rocm
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- +cuda
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- cuda_arch=80
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llvm:
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# https://github.com/spack/spack/issues/27999
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require:
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- ~cuda
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- target=aarch64
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mpi:
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require: openmpi
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py-torch:
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require:
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- target=aarch64
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- ~rocm
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- +cuda
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- cuda_arch=80
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- ~flash_attention
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specs:
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# Horovod
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- py-horovod
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# Hugging Face
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- py-transformers
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# JAX
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- py-jax
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- py-jaxlib
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# Keras
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- py-keras backend=tensorflow
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- py-keras backend=jax
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- py-keras backend=torch
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- py-keras-applications
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- py-keras-preprocessing
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- py-keras2onnx
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# PyTorch
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- py-botorch
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- py-efficientnet-pytorch
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- py-gpytorch
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- py-kornia
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- py-lightning
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- py-pytorch-gradual-warmup-lr
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- py-pytorch-lightning
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- py-segmentation-models-pytorch
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- py-timm
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- py-torch
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- py-torch-cluster
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- py-torch-geometric
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- py-torch-nvidia-apex
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- py-torch-scatter
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- py-torch-sparse
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- py-torch-spline-conv
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- py-torchaudio
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- py-torchdata
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- py-torchfile
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- py-torchgeo
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- py-torchmetrics
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# torchtext requires older pytorch, which requires older cuda, which doesn't support newer GCC
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# - py-torchtext
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- py-torchvision
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- py-vector-quantize-pytorch
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# scikit-learn
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- py-scikit-learn
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- py-scikit-learn-extra
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# TensorBoard
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- py-tensorboard
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- py-tensorboard-data-server
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- py-tensorboard-plugin-wit
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- py-tensorboardx
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# TensorFlow
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- py-tensorflow
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- py-tensorflow-datasets
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- py-tensorflow-hub
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- py-tensorflow-metadata
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- py-tensorflow-probability
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# XGBoost
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# xgboost requires older cuda, which doesn't support newer GCC
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# - py-xgboost
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ci:
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pipeline-gen:
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- build-job:
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image:
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name: ghcr.io/spack/ubuntu-24.04:v2024-09-05-v2
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entrypoint: ['']
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cdash:
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build-group: Machine Learning
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