ML CI: Linux x86_64 (#34299)

* ML CI: Linux x86_64

* Update comments

* Rename again

* Rename comments

* Update to match other arches

* No compiler

* Compiler was wrong anyway

* Faster TF

1 files changed, 0 insertions, 158 deletions

diff --git a/share/spack/gitlab/cloud_pipelines/stacks/ml-cuda/spack.yaml b/share/spack/gitlab/cloud_pipelines/stacks/ml-cuda/spack.yaml
deleted file mode 100644
index d0c9823c40..0000000000
--- a/share/spack/gitlab/cloud_pipelines/stacks/ml-cuda/spack.yaml
+++ /dev/null
@@ -1,158 +0,0 @@
-spack:
-  view: false
-
-  concretizer:
-    reuse: false
-    unify: false
-
-  config:
-    build_jobs: 32
-    concretizer: clingo
-    install_tree:
-      root: /home/software/spack
-      padded_length: 384
-      projections:
-        all: "{architecture}/{compiler.name}-{compiler.version}/{name}-{version}-{hash}"
-
-  packages:
-    all:
-      compiler: [gcc@11.2.0]
-      target: [x86_64_v3]
-      variants: ~rocm+cuda cuda_arch=80
-    llvm:
-      # https://github.com/spack/spack/issues/27999
-      require: ~cuda
-
-  specs:
-    # Horovod
-    - py-horovod
-
-    # Hugging Face
-    - py-transformers
-
-    # JAX
-    - py-jax
-    - py-jaxlib
-
-    # Keras
-    - py-keras
-    - py-keras-applications
-    - py-keras-preprocessing
-    - py-keras2onnx
-
-    # PyTorch
-    - py-botorch
-    - py-efficientnet-pytorch
-    - py-gpytorch
-    - py-kornia
-    - py-pytorch-gradual-warmup-lr
-    - py-pytorch-lightning
-    - py-segmentation-models-pytorch
-    - py-timm
-    - py-torch
-    - py-torch-cluster
-    - py-torch-geometric
-    - py-torch-nvidia-apex
-    - py-torch-scatter
-    - py-torch-sparse
-    - py-torch-spline-conv
-    - py-torchaudio
-    - py-torchdata
-    - py-torchfile
-    - py-torchgeo
-    - py-torchmeta
-    - py-torchmetrics
-    - py-torchtext
-    - py-torchvision
-    - py-vector-quantize-pytorch
-
-    # scikit-learn
-    - py-scikit-learn
-    - py-scikit-learn-extra
-
-    # TensorBoard
-    - py-tensorboard
-    - py-tensorboard-data-server
-    - py-tensorboard-plugin-wit
-    - py-tensorboardx
-
-    # TensorFlow
-    - py-tensorflow
-    - py-tensorflow-datasets
-    - py-tensorflow-estimator
-    - py-tensorflow-hub
-    - py-tensorflow-metadata
-    - py-tensorflow-probability
-
-    # XGBoost
-    - py-xgboost
-    # - r-xgboost
-    - xgboost
-
-  mirrors: { "mirror": "s3://spack-binaries/develop/ml-cuda" }
-
-  gitlab-ci:
-    script:
-      - uname -a || true
-      - grep -E 'vendor|model name' /proc/cpuinfo 2>/dev/null | sort -u || head -n10 /proc/cpuinfo 2>/dev/null || true
-      - nproc
-      - curl -Lfs 'https://github.com/JuliaBinaryWrappers/GNUMake_jll.jl/releases/download/GNUMake-v4.3.0+1/GNUMake.v4.3.0.x86_64-linux-gnu.tar.gz' -o gmake.tar.gz
-      - printf 'fef1f59e56d2d11e6d700ba22d3444b6e583c663d6883fd0a4f63ab8bd280f0f gmake.tar.gz' | sha256sum --check --strict --quiet
-      - tar -xzf gmake.tar.gz -C /usr bin/make 2> /dev/null
-      - . "./share/spack/setup-env.sh"
-      - spack --version
-      - spack arch
-      - cd ${SPACK_CONCRETE_ENV_DIR}
-      - spack env activate --without-view .
-      - spack config add "config:install_tree:projections:${SPACK_JOB_SPEC_PKG_NAME}:'morepadding/{architecture}/{compiler.name}-{compiler.version}/{name}-{version}-{hash}'"
-      - mkdir -p ${SPACK_ARTIFACTS_ROOT}/user_data
-      - if [[ -r /mnt/key/intermediate_ci_signing_key.gpg ]]; then spack gpg trust /mnt/key/intermediate_ci_signing_key.gpg; fi
-      - if [[ -r /mnt/key/spack_public_key.gpg ]]; then spack gpg trust /mnt/key/spack_public_key.gpg; fi
-      - spack --color=always --backtrace ci rebuild > >(tee ${SPACK_ARTIFACTS_ROOT}/user_data/pipeline_out.txt) 2> >(tee ${SPACK_ARTIFACTS_ROOT}/user_data/pipeline_err.txt >&2)
-    after_script:
-      - cat /proc/loadavg || true
-
-    match_behavior: first
-    mappings:
-      - match:
-          - llvm
-          - py-torch
-        runner-attributes:
-          tags: [ "spack", "huge", "x86_64_v4" ]
-          variables:
-            CI_JOB_SIZE: huge
-            KUBERNETES_CPU_REQUEST: 11000m
-            KUBERNETES_MEMORY_REQUEST: 42G
-      - match:
-          - "@:"
-        runner-attributes:
-          tags: [ "spack", "large", "x86_64_v4" ]
-          variables:
-            CI_JOB_SIZE: large
-            KUBERNETES_CPU_REQUEST: 8000m
-            KUBERNETES_MEMORY_REQUEST: 12G
-
-    image: { "name": "ghcr.io/spack/e4s-amazonlinux-2:v2022-03-21", "entrypoint": [""] }
-
-    broken-specs-url: "s3://spack-binaries/broken-specs"
-
-    service-job-attributes:
-      before_script:
-        - . "./share/spack/setup-env.sh"
-        - spack --version
-      image: { "name": "ghcr.io/spack/e4s-amazonlinux-2:v2022-03-21", "entrypoint": [""] }
-      tags: ["spack", "public", "x86_64_v4"]
-
-    signing-job-attributes:
-      image: { "name": "ghcr.io/spack/notary:latest", "entrypoint": [""] }
-      tags: ["spack", "aws"]
-      script:
-        - aws s3 sync --exclude "*" --include "*spec.json*" ${SPACK_REMOTE_MIRROR_OVERRIDE}/build_cache /tmp
-        - /sign.sh
-        - aws s3 sync --exclude "*" --include "*spec.json.sig*" /tmp ${SPACK_REMOTE_MIRROR_OVERRIDE}/build_cache
-
-  cdash:
-    build-group: Machine Learning
-    url: https://cdash.spack.io
-    project: Spack Testing
-    site: Cloud Gitlab Infrastructure