NVIDIA
NVIDIA
CUDA-Q (nightly)
Container
NVIDIA
NVIDIA
CUDA-Q (nightly)

Pre-release versions of CUDA Quantum. This container includes features that are currently under development.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
cudaq
11/19/2024 6:44 PM UTC
sha256:15d47b4cdce839321c493a12a3c35e4c555c4e5f14dbb08ebaef209972c3720aRUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
  chgrp -R cudaq /home/cudaq
11/19/2024 6:44 PM UTC
sha256:81a0795288b1af5c8b4dd7946686fa02486bb85f4bac88cb5740724c9f05d160RUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    jupyter-lab --no-browser --ip=* --ServerApp.allow_origin=* --IdentityProvider.token="$@" \n    ' > "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup" &&
  chmod +x "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
11/19/2024 6:44 PM UTC
sha256:d52bccb8076b15b5b301edae4464cc78aa3a478a18fa66fbe2506329bce3414dRUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(command -v code)" ]; then \n        os=$([ "$(uname -m)" == "aarch64" ] && echo cli-alpine-arm64 || echo cli-alpine-x64) \n        curl -Lk "https://code.visualstudio.com/sha/download?build=stable&os=$os" --output vscode_cli.tar.gz \n        tar -xf vscode_cli.tar.gz && rm vscode_cli.tar.gz && sudo mv code /usr/bin/ \n    fi \n    code "$@"' > "$CUDA_QUANTUM_PATH/bin/vscode-setup" &&
  chmod +x "$CUDA_QUANTUM_PATH/bin/vscode-setup"
11/19/2024 6:44 PM UTC
sha256:a89b48132c64c1f2261e44610ba97380e3f39500a450346e2ae9a8e3f2c8c3bcCOPY
docker/release/config/.vscode /home/cudaq/.vscode
11/19/2024 6:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
vscode_config=docker/release/config/.vscode
11/19/2024 6:44 PM UTC
sha256:ef02dc05150801b844093052be9dd2be436a809a06a36b2eb495f523c2780aadRUN
assets=assets /bin/bash -c if [ -x "$(command -v pip)" ]; then apt-get install -y --no-install-recommends gcc libpython3-dev &&
  pip install --no-cache-dir jupyterlab; if [ -n "$MPI_ROOT" ]; then pip install --no-cache-dir mpi4py~=3.1; fi; fi
11/19/2024 6:44 PM UTC
sha256:6e14caf9c691145a4600eee885ba0ce97fad5377cd620ce25d1576e6f8769077RUN
assets=assets /bin/bash -c cuda_version_suffix=$(echo ${CUDA_VERSION} | tr . -) &&
  for cudart_dependency in libcusolver libcublas cuda-cudart; do if [ -z "$(apt list --installed | grep -o ${cudart_dependency}-${cuda_version_suffix})" ]; then apt-get install -y --no-install-recommends ${cudart_dependency}-${cuda_version_suffix}; fi done &&
  if [ $(echo ${CUDA_VERSION} | cut -d . -f1) -gt 11 ]; then apt-get install -y --no-install-recommends libnvjitlink-${cuda_version_suffix}; fi &&
  apt-get install -y --no-install-recommends curl jq
11/19/2024 6:43 PM UTC
sha256:0d8555fc0306c5173d9107950c0ceb91a489a9b3ec2c44efa475d083ccc95e2fRUN
assets=assets /bin/bash -c if [ -d "$CUDA_QUANTUM_PATH/assets/documentation" ]; then rm -rf "$CUDA_QUANTUM_PATH/docs" &&
  mkdir -p "$CUDA_QUANTUM_PATH/docs"; mv "$CUDA_QUANTUM_PATH/assets/documentation"/* "$CUDA_QUANTUM_PATH/docs"; rmdir "$CUDA_QUANTUM_PATH/assets/documentation"; fi &&
  for folder in `find "$CUDA_QUANTUM_PATH/assets/$(uname -m)"/* -maxdepth 0 -type d -not -name cudaq`; do bash "$CUDA_QUANTUM_PATH/bin/migrate_assets.sh" -s "$folder" &&
  rm -rf "$folder"; done &&
  bash "$CUDA_QUANTUM_PATH/bin/migrate_assets.sh" -s "$CUDA_QUANTUM_PATH/assets/$(uname -m)" &&
  rm -rf "$CUDA_QUANTUM_PATH/assets" "$CUDA_QUANTUM_PATH/bin/migrate_assets.sh"
11/19/2024 6:43 PM UTC
sha256:3163feeefdc015937ad789da1311560ef3ef740e60935e3db0cc075132a5b1b5RUN
assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
11/19/2024 6:43 PM UTC
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