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spack:
view: false
concretizer:
reuse: false
unify: false
config:
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: ~cuda+rocm amdgpu_target=gfx90a
gl:
require: "osmesa"
py-torch:
# Does not yet support Spack-installed ROCm
require: ~rocm
specs:
# Horovod
- py-horovod
# Hugging Face
- py-transformers
# JAX
# https://github.com/google/jax/issues/12614
# - py-jax
# - py-jaxlib
# Keras
- py-keras
- py-keras-applications
- py-keras-preprocessing
- py-keras2onnx
# PyTorch
# Does not yet support Spack-install ROCm
# - 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-rocm" }
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
- 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)
match_behavior: first
mappings:
- match:
- llvm
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
|
