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8 changes: 4 additions & 4 deletions .github/workflows/cron.yml
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ jobs:
base: "nvcr.io/nvidia/pytorch:21.06-py3" # CUDA 11.3
- environment: PTLATEST+CUDA118
pytorch: "-U torch torchvision --extra-index-url https://download.pytorch.org/whl/cu118"
base: "nvcr.io/nvidia/pytorch:23.02-py3" # CUDA 11.8
base: "nvcr.io/nvidia/pytorch:23.03-py3" # CUDA 11.8
container:
image: ${{ matrix.base }}
options: "--gpus all"
Expand Down Expand Up @@ -76,7 +76,7 @@ jobs:
if: github.repository == 'Project-MONAI/MONAI'
strategy:
matrix:
container: ["pytorch:22.09", "pytorch:22.11", "pytorch:23.02"]
container: ["pytorch:22.09", "pytorch:22.11", "pytorch:23.03"]
container:
image: nvcr.io/nvidia/${{ matrix.container }}-py3 # testing with the latest pytorch base image
options: "--gpus all"
Expand Down Expand Up @@ -121,7 +121,7 @@ jobs:
if: github.repository == 'Project-MONAI/MONAI'
strategy:
matrix:
container: ["pytorch:22.09", "pytorch:22.11", "pytorch:23.02"]
container: ["pytorch:22.09", "pytorch:22.11", "pytorch:23.03"]
container:
image: nvcr.io/nvidia/${{ matrix.container }}-py3 # testing with the latest pytorch base image
options: "--gpus all"
Expand Down Expand Up @@ -221,7 +221,7 @@ jobs:
if: github.repository == 'Project-MONAI/MONAI'
needs: cron-gpu # so that monai itself is verified first
container:
image: nvcr.io/nvidia/pytorch:23.02-py3 # testing with the latest pytorch base image
image: nvcr.io/nvidia/pytorch:23.03-py3 # testing with the latest pytorch base image
options: "--gpus all --ipc=host"
runs-on: [self-hosted, linux, x64, integration]
steps:
Expand Down
4 changes: 2 additions & 2 deletions .github/workflows/pythonapp-gpu.yml
Original file line number Diff line number Diff line change
Expand Up @@ -42,9 +42,9 @@ jobs:
pytorch: "torch==1.13.1 torchvision==0.14.1"
base: "nvcr.io/nvidia/cuda:11.6.1-devel-ubuntu18.04"
- environment: PT114+CUDA120DOCKER
# 23.02: 1.14.0a0+44dac51
# 23.03: 2.0.0a0+1767026
pytorch: "-h" # we explicitly set pytorch to -h to avoid pip install error
base: "nvcr.io/nvidia/pytorch:23.02-py3"
base: "nvcr.io/nvidia/pytorch:23.03-py3"
container:
image: ${{ matrix.base }}
options: --gpus all --env NVIDIA_DISABLE_REQUIRE=true # workaround for unsatisfied condition: cuda>=11.6
Expand Down
2 changes: 1 addition & 1 deletion Dockerfile
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@

# To build with a different base image
# please run `docker build` using the `--build-arg PYTORCH_IMAGE=...` flag.
ARG PYTORCH_IMAGE=nvcr.io/nvidia/pytorch:23.02-py3
ARG PYTORCH_IMAGE=nvcr.io/nvidia/pytorch:23.03-py3
FROM ${PYTORCH_IMAGE}

LABEL maintainer="monai.contact@gmail.com"
Expand Down