forked from determined-ai/determined
/
config.yml
2259 lines (2121 loc) · 69 KB
/
config.yml
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# Use the latest 2.1 version of CircleCI pipeline process engine. See: https://circleci.com/docs/2.0/configuration-reference
version: 2.1
orbs:
win: circleci/windows@2.3.0
slack: circleci/slack@3.4.2
kubernetes: circleci/kubernetes@0.11.0
helm: circleci/helm@1.2.0
gcloud: circleci/gcp-cli@2.1.0
queue: eddiewebb/queue@volatile
executors:
python-36:
docker:
- image: python:3.6-slim-buster
python-37:
docker:
- image: python:3.7-slim-buster
python-38:
docker:
- image: python:3.8-slim-buster
parameters:
det-version:
type: string
default: 0.16.1.dev0
release-and-rc-filters: &release-and-rc-filters
branches:
ignore:
- /.*/
tags:
only:
- /(\d)+(\.(\d)+)+/
- /((\d)+(\.(\d)+)+)(rc)(\d)+/
rc-filters: &rc-filters
branches:
ignore:
- /.*/
tags:
only:
- /((\d)+(\.(\d)+)+)(rc)(\d)+/
release-filters: &release-filters
branches:
ignore:
- /.*/
tags:
only:
- /(\d)+(\.(\d)+)+/
upstream-feature-branch: &upstream-feature-branch
branches:
ignore:
- /pull\/.*/
- /release-.*/
- master
commands:
fix-circle-working-directory:
description: "Fix CIRCLE_WORKING_DIRECTORY"
steps:
- run: echo 'CIRCLE_WORKING_DIRECTORY="${CIRCLE_WORKING_DIRECTORY/#\~/$HOME}"' >> $BASH_ENV
set-slack-user-id:
steps:
- run:
name: Set Slack variables
command: |
if ! [ -x "$(command -v jq)" ]; then
apt update && apt install -y jq
fi
AUTHOR_EMAIL="$(git show -s --format='%ae' $CIRCLE_SHA1)"
echo "export AUTHOR_EMAIL=\"${AUTHOR_EMAIL}\"" >> $BASH_ENV
LOOKUP_RESPONSE=$(curl -s "https://slack.com/api/users.lookupByEmail?token=${SLACK_API_TOKEN}&email=${AUTHOR_EMAIL}")
SUCCESS=$(echo "$LOOKUP_RESPONSE" | jq ".ok")
if [[ "$SUCCESS" == "true" ]]; then
SLACK_USER_ID=$(echo "$LOOKUP_RESPONSE" | jq -r ".user.id")
SLACK_NAME=$(echo "$LOOKUP_RESPONSE" | jq -r ".user.name")
echo "export SLACK_NAME=\"${SLACK_NAME}\"" >> $BASH_ENV
echo "export SLACK_USER_ID=\"${SLACK_USER_ID}\"" >> $BASH_ENV
else
echo "Unable to find Slack user ID for \"${AUTHOR_EMAIL}\"."
fi
pull-task-images:
parameters:
tf1:
type: boolean
default: false
tf2:
type: boolean
default: false
steps:
- when:
condition: <<parameters.tf1>>
steps:
- run: docker pull determinedai/environments:py-3.7-pytorch-1.7-tf-1.15-cpu-3a452bc
- when:
condition: <<parameters.tf2>>
steps:
- run: docker pull determinedai/environments:py-3.7-pytorch-1.7-lightning-1.2-tf-2.4-cpu-3a452bc
login-docker:
parameters:
repository:
type: string
default: ""
username:
type: string
password:
type: string
steps:
- run: echo "<<parameters.password>>" | docker login <<parameters.repository>> -u "<<parameters.username>>" --password-stdin
login-helm:
steps:
- run: helm repo add determined https://helm.ngc.nvidia.com/isv-ngc-partner/determined --username=$NGC_API_USERNAME --password=$NGC_API_KEY
reinstall-go:
steps:
- run: sudo rm -rf /usr/local/go # Remove system go.
- run: curl https://dl.google.com/go/go1.16.1.linux-amd64.tar.gz -o /tmp/go.linux-amd64.tar.gz
- run: sudo tar -C /usr/local -xzf /tmp/go.linux-amd64.tar.gz
install-protoc:
steps:
- run: curl -o /tmp/protoc.zip -L https://github.com/protocolbuffers/protobuf/releases/download/v3.17.1/protoc-3.17.1-linux-x86_64.zip
- run: unzip /tmp/protoc.zip -d $HOME/.local
setup-go-intg-deps:
steps:
- install-protoc # Install newer version of protoc into $HOME/.local/bin, since default is proto2.
- run: PATH=$HOME/.local/bin:$PATH make -C proto get-deps
- run: PATH=$HOME/.local/bin:$PATH make -C proto build
- run: make -C master get-deps
- run: make -C agent get-deps
- run: make -C tools start-db
go-get-deps:
steps:
- install-protoc
- restore_cache:
keys:
- det-go-deps-v1dev7-{{ checksum "master/go.sum" }}-{{ checksum "agent/go.sum" }}-{{ checksum "proto/go.sum" }}
- run: make -C proto get-deps
- run: make -C master get-deps
- run: make -C agent get-deps
- save_cache:
key: det-go-deps-v1dev7-{{ checksum "master/go.sum" }}-{{ checksum "agent/go.sum" }}-{{ checksum "proto/go.sum" }}
paths:
- "/home/circleci/go/pkg/mod/"
react-get-deps:
steps:
- attach_workspace:
at: .
- restore_cache:
keys:
- det-react-deps-v1dev3-{{ checksum "webui/react/package-lock.json" }}
- run:
name: Get React dependencies
command: |
make -C webui/react get-deps-api
if [ ! -d "webui/react/node_modules" ]; then
make -C webui/react get-deps-npm
fi
- save_cache:
key: det-react-deps-v1dev3-{{ checksum "webui/react/package-lock.json" }}
paths:
- "webui/react/node_modules"
install-wheel:
parameters:
package-name:
type: string
package-location:
type: string
steps:
- run:
name: Install <<parameters.package-name>>
working_directory: <<parameters.package-location>>
command: |
make build
pip install --find-links dist <<parameters.package-name>>==<< pipeline.parameters.det-version >>
pip install --no-deps --force-reinstall --find-links dist <<parameters.package-name>>==<< pipeline.parameters.det-version >>
setup-python-venv:
description: Set up and create Python venv.
parameters:
determined:
type: boolean
default: false
model-hub:
type: boolean
default: false
extras-requires:
type: string
default: ""
extra-requirements-file:
type: string
default: ""
executor:
type: string
steps:
- run:
name: Setup venv
command: |
sudo apt-get update
sudo apt-get install -y python3-venv
/usr/bin/python3 -m venv /tmp/venv
echo "export PATH=/tmp/venv/bin:\"${PATH}\"" >> $BASH_ENV
/tmp/venv/bin/python -m pip install --upgrade pip\<20 wheel setuptools
- run:
name: Write cache key
command: |
echo <<parameters.executor>> > /tmp/cachefile
if [ "<<parameters.determined>>" = "true" ]; then
cat harness/setup.py >> /tmp/cachefile
fi
if [ "<<parameters.model-hub>>" = "true" ]; then
cat model_hub/setup.py >> /tmp/cachefile
fi
echo <<parameters.extras-requires>> >> /tmp/cachefile
if [ -n <<parameters.extra-requirements-file>> ]; then
cat <<parameters.extra-requirements-file>> >> /tmp/cachefile
fi
- restore_cache:
keys:
- det-python-deps-v1dev2-{{ checksum "/tmp/cachefile" }}
- when:
condition: <<parameters.determined>>
steps:
- install-wheel:
package-name: determined
package-location: ~/project/harness
- when:
condition: <<parameters.model-hub>>
steps:
- install-wheel:
package-name: model-hub
package-location: ~/project/model_hub
- run:
name: Install <<parameters.extras-requires>>
command: |
if [ -n "<<parameters.extras-requires>>" ]; then
pip install <<parameters.extras-requires>>
fi
- run:
name: Install <<parameters.extra-requirements-file>>
command: |
if [ -n "<<parameters.extra-requirements-file>>" ]; then
pip install -r <<parameters.extra-requirements-file>>
fi
- save_cache:
key: det-python-deps-v1dev2-{{ checksum "/tmp/cachefile" }}
paths:
- "/tmp/venv"
- run: python --version
- run: pip --version
- run: pip freeze
# Allow this to fail, but it is useful for debugging.
- run: sh -c "pip check || true"
run-e2e-tests:
parameters:
mark:
type: string
default: ""
junit-path:
type: string
default: "/tmp/test-results/e2e/tests.xml"
master-scheme:
type: string
default: "http"
master-host:
type: string
default: "localhost"
master-port:
type: string
default: "8080"
master-cert:
type: string
default: ""
master-cert-name:
type: string
default: ""
steps:
- run:
name: Split tests
working_directory: ~/project/e2e_tests
command: |
# If a test mark is specified, preselect only files that contain tests with that mark to
# minimize how wrong CircleCI's splitting can get things.
if [ -n "<<parameters.mark>>" ]; then
mark="<<parameters.mark>>"
# Extract the first mark for complex conditions such as 'mark1 and not mark2'.
mark_prefix=${mark%% and*}
find tests -name 'test*.py' -print0 | xargs -0 grep -rl "pytest\.mark\.$mark_prefix"
else
circleci tests glob 'tests/**/test*.py'
fi | circleci tests split --split-by=timings > /tmp/tests-to-run
echo "Running tests from these files:"
sed 's/^/- /' </tmp/tests-to-run
- wait-for-master:
scheme: <<parameters.master-scheme>>
host: <<parameters.master-host>>
port: <<parameters.master-port>>
- run:
name: Run e2e tests
working_directory: ~/project/e2e_tests
no_output_timeout: 30m
command: |
DET_MASTER_CERT_FILE=<<parameters.master-cert>> DET_MASTER_CERT_NAME=<<parameters.master-cert-name>> \
pytest -vv -s \
-m '<<parameters.mark>>' \
--durations=0 \
--master-scheme="<<parameters.master-scheme>>" \
--master-host="<<parameters.master-host>>" \
--master-port="<<parameters.master-port>>" \
-o junit_family=xunit1 \
--junit-xml="<<parameters.junit-path>>" \
$(< /tmp/tests-to-run)
run-det-deploy-tests:
parameters:
mark:
type: string
default: ""
det-version:
type: string
default: ""
steps:
- run:
name: Run det-deploy tests
working_directory: ~/project/e2e_tests
command: |
pytest -vv -s \
-m <<parameters.mark>> \
--det-version="<<parameters.det-version>>"
deploy-aws-cluster:
parameters:
cluster-id:
type: string
det-version:
type: string
keypair:
type: string
default: "integrations-test"
enable-cors:
type: boolean
default: false
master-tls-cert:
type: string
default: ""
master-tls-key:
type: string
default: ""
master-cert-name:
type: string
default: ""
aux-agent-instance-type:
type: string
default: "m5.large"
compute-agent-instance-type:
type: string
default: "p2.xlarge"
max-dynamic-agents:
type: integer
default: 1
retain-log-group:
type: boolean
default: false
log-group-prefix:
type: string
default: ""
steps:
- run:
name: Initialize extra arguments
command: touch /tmp/det-deploy-extra-args
- when:
condition:
equal:
[ true, << parameters.enable-cors >> ]
steps:
- run:
name: Enable CORS
command: 'echo --enable-cors >> /tmp/det-deploy-extra-args'
- run:
name: Configure TLS arguments
command: |
if [ -n "<<parameters.master-tls-cert>>" ]; then echo "--master-tls-cert <<parameters.master-tls-cert>>" >> /tmp/det-deploy-extra-args; fi
if [ -n "<<parameters.master-tls-key>>" ]; then echo "--master-tls-key <<parameters.master-tls-key>>" >> /tmp/det-deploy-extra-args; fi
if [ -n "<<parameters.master-cert-name>>" ]; then echo "--master-cert-name <<parameters.master-cert-name>>" >> /tmp/det-deploy-extra-args; fi
- run:
name: Configure log group arguments
command: |
if <<parameters.retain-log-group>>; then echo "--retain-log-group" >> /tmp/det-deploy-extra-args; fi
if [ -n "<<parameters.log-group-prefix>>" ]; then echo "--log-group-prefix <<parameters.log-group-prefix>>" >> /tmp/det-deploy-extra-args; fi
- run:
name: Deploy AWS cluster
command: |
echo "-----BEGIN ARGS-----"
cat /tmp/det-deploy-extra-args
echo "-----END ARGS-----"
det deploy aws up \
$(< /tmp/det-deploy-extra-args) \
--cluster-id <<parameters.cluster-id>> \
--det-version <<parameters.det-version>> \
--aux-agent-instance-type <<parameters.aux-agent-instance-type>> \
--compute-agent-instance-type <<parameters.compute-agent-instance-type>> \
--max-dynamic-agents <<parameters.max-dynamic-agents>> \
--keypair <<parameters.keypair>>
terminate-aws-cluster:
parameters:
cluster-id:
type: string
steps:
- run:
name: Terminate AWS Cluster
when: always
command: |
det deploy aws down \
--cluster-id <<parameters.cluster-id>>
setup-aws-cluster:
parameters:
cluster-id:
type: string
det-version:
type: string
compute-agent-instance-type:
type: string
default: "p2.xlarge"
aux-agent-instance-type:
type: string
default: "m5.large"
max-dynamic-agents:
type: integer
default: 1
master-tls-cert:
type: string
master-tls-key:
type: string
master-cert-name:
type: string
steps:
- set-cluster-id:
cluster-id: <<parameters.cluster-id>>
- deploy-aws-cluster:
cluster-id: ${CLUSTER_ID}
det-version: <<parameters.det-version>>
aux-agent-instance-type: <<parameters.aux-agent-instance-type>>
compute-agent-instance-type: <<parameters.compute-agent-instance-type>>
max-dynamic-agents: <<parameters.max-dynamic-agents>>
master-tls-cert: <<parameters.master-tls-cert>>
master-tls-key: <<parameters.master-tls-key>>
master-cert-name: <<parameters.master-cert-name>>
log-group-prefix: determined-ci
retain-log-group: true
- set-master-address-aws:
cluster-id: ${CLUSTER_ID}
master-tls-cert: <<parameters.master-tls-cert>>
master-tls-key: <<parameters.master-tls-key>>
terminate-gke-cluster:
parameters:
cluster-id:
type: string
region:
type: string
steps:
# Use a run instead of `gke/helm` orbs because circle CI orbs do not support `when`.
- run:
name: Delete Helm release
when: always
command: helm delete ci
- run:
name: Terminate GKE Cluster
when: always
command: |
gcloud container clusters delete <<parameters.cluster-id>> --quiet --region=<<parameters.region>>
setup-gke-cluster:
parameters:
cluster-id:
type: string
det-version:
type: string
gke-version:
type: string
machine-type:
type: string
num-machines:
type: integer
gpu-type:
type: string
gpus-per-machine:
type: integer
slot-type:
type: string
slot-resource-requests-cpu:
type: integer
region:
type: string
node-locations:
type: string
gcloud-service-key:
default: GCLOUD_SERVICE_KEY
description: The gcloud service key
type: env_var_name
google-compute-zone:
default: GOOGLE_COMPUTE_ZONE
description: The Google compute zone to connect with via the gcloud CLI
type: env_var_name
google-project-id:
default: GOOGLE_PROJECT_ID
description: The Google project ID to connect with via the gcloud CLI
type: env_var_name
steps:
- set-cluster-id:
cluster-id: <<parameters.cluster-id>>
- gcloud/install:
version: "319.0.0"
- kubernetes/install-kubectl
- gcloud/initialize:
gcloud-service-key: <<parameters.gcloud-service-key>>
google-compute-zone: <<parameters.google-compute-zone>>
google-project-id: <<parameters.google-project-id>>
- run:
command: gcloud container clusters create ${CLUSTER_ID} --machine-type=n1-standard-8 --cluster-version=<<parameters.gke-version>> --region=<<parameters.region>> --node-locations=<<parameters.node-locations>> --scopes storage-rw,cloud-platform --num-nodes 1
name: Create GKE cluster
- run:
command: gcloud container clusters get-credentials ${CLUSTER_ID} --project determined-ai --region <<parameters.region>>
name: Get Kubeconfig
- when:
condition: <<parameters.gpus-per-machine>>
steps:
- run:
command: kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml
name: Install NVIDIA drivers
- helm/install-helm-chart:
chart: helm/charts/determined
helm-version: v3.2.4
namespace: "default"
wait: true
release-name: "ci"
values-to-override: |
detVersion=<<parameters.det-version>>,\
maxSlotsPerPod=<<parameters.gpus-per-machine>>,\
checkpointStorage.type=gcs,\
checkpointStorage.bucket=det-ci
- unless:
condition: <<parameters.gpus-per-machine>>
steps:
- helm/install-helm-chart:
chart: helm/charts/determined
helm-version: v3.2.4
namespace: "default"
wait: true
release-name: "ci"
values-to-override: |
detVersion=<<parameters.det-version>>,\
maxSlotsPerPod=1,\
checkpointStorage.type=gcs,\
checkpointStorage.bucket=det-ci,\
slotType=<<parameters.slot-type>>,\
slotResourceRequests.cpu=<<parameters.slot-resource-requests-cpu>>
- set-master-address-gke:
release-name: "ci"
namespace: "default"
- when:
condition: <<parameters.gpus-per-machine>>
steps:
- run:
command: gcloud container node-pools create accel --cluster ${CLUSTER_ID} --region <<parameters.region>> --num-nodes <<parameters.num-machines>> --accelerator type=<<parameters.gpu-type>>,count=<<parameters.gpus-per-machine>> --machine-type=<<parameters.machine-type>> --scopes cloud-platform
name: Create GPU node pool
- unless:
condition: <<parameters.gpus-per-machine>>
steps:
- run:
command: gcloud container node-pools create accel --cluster ${CLUSTER_ID} --region <<parameters.region>> --num-nodes <<parameters.num-machines>> --machine-type=<<parameters.machine-type>> --scopes cloud-platform
name: Create CPU node pool
setup-gke-cluster-cuda-11:
parameters:
cluster-id:
type: string
det-version:
type: string
gke-version:
type: string
machine-type:
type: string
num-machines:
type: integer
gpu-type:
type: string
gpus-per-machine:
type: integer
region:
type: string
node-locations:
type: string
gcloud-service-key:
default: GCLOUD_SERVICE_KEY
description: The gcloud service key
type: env_var_name
google-compute-zone:
default: GOOGLE_COMPUTE_ZONE
description: The Google compute zone to connect with via the gcloud CLI
type: env_var_name
google-project-id:
default: GOOGLE_PROJECT_ID
description: The Google project ID to connect with via the gcloud CLI
type: env_var_name
environment-image:
default: determinedai/environments:cuda-11.0-pytorch-1.7-lightning-1.2-tf-2.4-gpu-0.16.0
type: string
steps:
- set-cluster-id:
cluster-id: <<parameters.cluster-id>>
- gcloud/install:
version: "319.0.0"
- kubernetes/install-kubectl
- gcloud/initialize:
gcloud-service-key: <<parameters.gcloud-service-key>>
google-compute-zone: <<parameters.google-compute-zone>>
google-project-id: <<parameters.google-project-id>>
- run:
command: gcloud container clusters create ${CLUSTER_ID} --machine-type=n1-standard-8 --cluster-version=<<parameters.gke-version>> --region=<<parameters.region>> --node-locations=<<parameters.node-locations>> --scopes storage-rw,cloud-platform --num-nodes 1
name: Create GKE cluster
- run:
command: gcloud container node-pools create accel --cluster ${CLUSTER_ID} --region <<parameters.region>> --num-nodes <<parameters.num-machines>> --accelerator type=<<parameters.gpu-type>>,count=<<parameters.gpus-per-machine>> --machine-type=<<parameters.machine-type>> --scopes cloud-platform
name: Create GPU node pool
- run:
command: gcloud container clusters get-credentials ${CLUSTER_ID} --project determined-ai --region <<parameters.region>>
name: Get Kubeconfig
- run:
command: kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml
name: Install NVIDIA drivers
- run:
command: kubectl create clusterrolebinding cluster-admin-binding --clusterrole cluster-admin --user "$(gcloud config get-value account)"
name: Setup cluster role binding
- helm/install-helm-chart:
chart: helm/charts/determined
helm-version: v3.2.4
namespace: "default"
wait: true
release-name: "ci"
values-to-override: |
detVersion=<<parameters.det-version>>,\
maxSlotsPerPod=<<parameters.gpus-per-machine>>,\
taskContainerDefaults.cpuImage=<<parameters.environment-image>>,\
taskContainerDefaults.gpuImage=<<parameters.environment-image>>,\
checkpointStorage.type=gcs,\
checkpointStorage.bucket=det-ci
- set-master-address-gke:
release-name: "ci"
namespace: "default"
install-webui-test-deps:
steps:
- run: |
. /opt/circleci/.nvm/nvm.sh
nvm install v12
nvm alias default v12
make -C webui/tests get-deps
- run: docker pull determinedai/gauge-taiko-ts
setup-local-cluster:
parameters:
det-version:
type: string
steps:
- run: det deploy local cluster-up --no-gpu --delete-db --det-version <<parameters.det-version>>
dump-local-cluster-logs:
steps:
- run:
name: Dump det deploy logs
when: always
command: det deploy local logs --no-follow
run-e2e-webui-tests:
steps:
- run: python webui/tests/bin/createUserAndExperiments.py
- run: |
mkdir -p webui/tests/reports/logs
mkdir -p webui/tests/reports/videos
docker run \
--name e2e_gauge \
--network=determined_default \
--mount type=bind,source=$(pwd)/webui,target=/webui \
-w /webui/tests \
--env DET_MASTER=determined-master:8080 \
determinedai/gauge-taiko-ts
rm -f webui/tests/reports/videos/*.jpeg
generate-tls-cert:
steps:
- run: |
.circleci/scripts/generate_cert.sh /tmp/master
echo 'export MASTER_TLS_CERT=/tmp/master.crt MASTER_TLS_KEY=/tmp/master.key MASTER_CERT_NAME=determined-master-ci' >> $BASH_ENV
set-master-address-aws:
parameters:
cluster-id:
type: string
master-tls-cert:
type: string
master-tls-key:
type: string
steps:
- run: |
MASTER_HOST=$(python .circleci/scripts/get_output_from_stack.py <<parameters.cluster-id>> DeterminedAddress)
echo "export MASTER_HOST=\"${MASTER_HOST}\"" >> $BASH_ENV
- run: |
if [ -n "<<parameters.master-tls-cert>>" ] && [ -n "<<parameters.master-tls-key>>" ]; then
echo "export MASTER_PORT=8443" >> $BASH_ENV
echo "export MASTER_SCHEME=https" >> $BASH_ENV
fi
set-master-address-gke:
parameters:
release-name:
type: string
namespace:
type: string
steps:
- run:
name: Set Master Address
command: |
MASTER_HOST=$(kubectl get -n <<parameters.namespace>> service determined-master-service-<<parameters.release-name>> \
--output jsonpath='{.status.loadBalancer.ingress[0].ip}')
echo "export MASTER_HOST=\"${MASTER_HOST}\"" >> $BASH_ENV
echo "${MASTER_HOST}"
set-google-application-credentials:
steps:
- run:
name: Set Google Application Credentials
command: |
GOOGLE_APPLICATION_CREDENTIALS=${HOME}/gcloud-service-key.json
echo "export GOOGLE_APPLICATION_CREDENTIALS=\"${GOOGLE_APPLICATION_CREDENTIALS}\"" >> $BASH_ENV
set-cluster-id:
parameters:
cluster-id:
type: string
steps:
- run: echo "export CLUSTER_ID=\"<<parameters.cluster-id>>\"" >> $BASH_ENV
wait-for-master:
parameters:
scheme:
type: string
default: "http"
host:
type: string
port:
type: string
default: "8080"
steps:
- run: python .circleci/scripts/wait_for_master.py <<parameters.scheme>>://<<parameters.host>>:<<parameters.port>>
locate-cloudwatch-logs:
parameters:
cluster-id:
type: string
region:
type: string
default: us-west-2
steps:
- run:
name: Locate CloudWatch logs
when: always
command: |
LOG_GROUP=$(python .circleci/scripts/get_output_from_stack.py <<parameters.cluster-id>> LogGroup)
echo "Cluster logs can be found in CloudWatch under the log group $LOG_GROUP"
echo "or the URL below (if the log group is in your default region):"
ENC_LOG_GROUP=$(echo "$LOG_GROUP" | sed 's|/|$252F|g')
echo "https://console.aws.amazon.com/cloudwatch/home#logsV2:log-groups/log-group/$ENC_LOG_GROUP"
pre-package-and-push-system:
steps:
- go-get-deps
- run: make -C proto build
- run: make -C master check
- run: make -C agent check
jobs:
build-helm:
docker:
- image: determinedai/cimg-base:stable
steps:
- checkout
- helm/install-helm-client
- attach_workspace:
at: .
- run: make -C helm build
- persist_to_workspace:
root: .
paths:
- helm/build
- store_artifacts:
path: helm/build
build-docs:
docker:
- image: determinedai/cimg-base:stable
steps:
- checkout
- helm/install-helm-client
- setup-python-venv:
determined: true
extras-requires: "tensorflow==2.4.1 torch==1.8"
model-hub: true
extra-requirements-file: "docs/requirements.txt"
executor: determinedai/cimg-base:stable
- run: make -C examples build
- run: make -C helm build
- attach_workspace:
at: .
- run: make -C docs build
- persist_to_workspace:
root: .
paths:
- examples/build
- cli/dist
- common/dist
- harness/dist
- model_hub/dist
- docs/site/html
- store_artifacts:
path: docs/site/html
publish-docs:
docker:
- image: hashicorp/terraform:light
steps:
- checkout
- attach_workspace:
at: .
- run: apk add make curl python3 py3-pip
- run: pip3 install awscli
- run: make -C docs publish
package-and-push-system-local:
docker:
- image: cimg/go:1.16
environment:
GO111MODULE: "on"
resource_class: medium+
steps:
- checkout
- attach_workspace:
at: .
- setup_remote_docker:
version: 19.03.12
- pre-package-and-push-system
- run: make package
- run: mkdir -p build/
- run: docker save -o build/master.image determinedai/determined-master:${CIRCLE_SHA1}
- run: docker save -o build/agent.image determinedai/determined-agent:${CIRCLE_SHA1}
- persist_to_workspace:
root: .
paths:
- "master/dist/*linux_amd64.deb"
- "master/dist/*linux_amd64.rpm"
- "agent/dist/*linux_amd64.deb"
- "agent/dist/*linux_amd64.rpm"
- "build/*.image"
package-and-push-system-dev:
docker:
- image: cimg/go:1.16
environment:
GO111MODULE: "on"
resource_class: medium+
steps:
- checkout
- attach_workspace:
at: .
- setup_remote_docker:
version: 19.03.12
- login-docker:
username: ${DOCKER_USER}
password: ${DOCKER_PASS}
- pre-package-and-push-system
- run: make package
- run: make -C master publish-dev
- run: make -C agent publish-dev
- run:
name: Build and publish model_hub docker images
command: |
if [ ${CIRCLE_BRANCH} = 'master' ] || [[ ${CIRCLE_BRANCH} == *"release-"* ]]; then
# For master and release branches, we will tag and publish both the environment
# with the git hash as well as the version. This will make that image available
# immediately for nightly tests.
make -C model_hub build-docker
make -C model_hub publish-docker
else
# Otherwise, only tag and publish the environment with the git hash.
make -C model_hub build-docker-dev
make -C model_hub publish-docker-dev
fi
package-and-push-system-rc:
docker:
- image: cimg/go:1.16
environment:
GO111MODULE: "on"
resource_class: medium+
steps:
- checkout
- attach_workspace:
at: .
- setup_remote_docker:
version: 19.03.12
- login-docker:
username: ${DOCKER_USER}
password: ${DOCKER_PASS}
- login-docker:
repository: nvcr.io
username: ${NGC_API_USERNAME}
password: ${NGC_API_KEY}
- pre-package-and-push-system
- run: make package
- run: make -C master publish
- run: make -C agent publish
- run: make -C model_hub build-docker
- run: make -C model_hub publish-docker
package-and-push-system-release:
docker:
- image: cimg/go:1.16
environment:
GO111MODULE: "on"
resource_class: medium+
steps:
- checkout
- attach_workspace:
at: .
- setup_remote_docker:
version: 19.03.12
- login-docker:
username: ${DOCKER_USER}
password: ${DOCKER_PASS}
- login-docker:
repository: nvcr.io
username: ${NGC_API_USERNAME}
password: ${NGC_API_KEY}
- pre-package-and-push-system
- run: make -C master release
- run: make -C agent release
- run: make -C model_hub build-docker
- run: make -C model_hub publish-docker
publish-helm:
docker:
- image: determinedai/cimg-base:stable
steps:
- checkout
- attach_workspace:
at: .
- helm/install-helm-client
- run: helm plugin install https://github.com/chartmuseum/helm-push.git
- login-helm
- run: make -C helm release
publish-python-package:
parameters:
path:
type: string
docker:
- image: determinedai/cimg-base:stable
steps:
- checkout
- setup-python-venv:
extras-requires: "twine"
executor: determinedai/cimg-base:stable
- run: make -C <<parameters.path>> build
- run: make -C <<parameters.path>> publish
build-bindings:
docker:
- image: cimg/openjdk:14.0.1
steps:
- checkout
- attach_workspace:
at: .