mmcv/.circleci/config.yml
Zaida Zhou d429df1a8d
[Refactor] Refactor the pytorch and cuda combination for testing in CI (#2693)
* Refactor CI

* Upload coverage to Codecov

* update

* update

* update

* update

* test

* test

* fix typo

* fix

* fix

* fix

* fix circleci

* fix circleci

* revert comments

* add verpose

* install cuda

install cuda

install cuda

install cuda

install cuda

install cuda

install cuda

fix env

fix env

fix env

fix env

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix circleci

fix circleci

remove cuda11.1 test from windows

update ci

update ci

update ci

update ci

update ci

update ci

update ci

update ci

* do not test python3.11

* revert comments
2023-04-06 15:01:50 +08:00

33 lines
1.2 KiB
YAML

version: 2.1
# this allows you to use CircleCI's dynamic configuration feature
setup: true
# the path-filtering orb is required to continue a pipeline based on
# the path of an updated fileset
orbs:
path-filtering: circleci/path-filtering@0.1.2
workflows:
# the always-run workflow is always triggered, regardless of the pipeline parameters.
always-run:
jobs:
# the path-filtering/filter job determines which pipeline
# parameters to update.
- path-filtering/filter:
name: check-updated-files
# 3-column, whitespace-delimited mapping. One mapping per
# line:
# <regex path-to-test> <parameter-to-set> <value-of-pipeline-parameter>
mapping: |
mmcv/.* lint_only false
requirements/.* lint_only false
tests/.* lint_only false
.circleci/.* lint_only false
base-revision: main
# this is the path of the configuration we should trigger once
# path filtering and pipeline parameter value updates are
# complete. In this case, we are using the parent dynamic
# configuration itself.
config-path: .circleci/test.yml