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https://github.com/open-mmlab/mmpretrain.git
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20f9ace5c5
* [CI] Add Circle CI for mmcls 1.x * Fix circle-ci config * Use `torch.cat` instead of `torch.hstack` to compat with PyTorch 1.6 * Compat the behavior of LongTensor in PyTorch 1.6 * Avoid random behavior in the unit test of Lighting * Fix cuda ci * Remove github workflow temporarily.
35 lines
1.3 KiB
YAML
35 lines
1.3 KiB
YAML
# Use the latest 2.1 version of CircleCI pipeline process engine.
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# See: https://circleci.com/docs/2.0/configuration-reference
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version: 2.1
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# This allows you to use CircleCI's dynamic configuration feature
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setup: true
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# the path-filtering orb is required to continue a pipeline based on
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# the path of an updated fileset
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orbs:
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path-filtering: circleci/path-filtering@0.1.2
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workflows:
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# the always-run workflow is always triggered, regardless of the pipeline parameters.
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always-run:
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jobs:
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# the path-filtering/filter job determines which pipeline
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# parameters to update.
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- path-filtering/filter:
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name: check-updated-files
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# 3-column, whitespace-delimited mapping. One mapping per
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# line:
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# <regex path-to-test> <parameter-to-set> <value-of-pipeline-parameter>
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mapping: |
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mmcls/.* lint_only false
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requirements/.* lint_only false
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tests/.* lint_only false
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.circleci/.* lint_only false
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base-revision: dev-1.x
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# this is the path of the configuration we should trigger once
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# path filtering and pipeline parameter value updates are
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# complete. In this case, we are using the parent dynamic
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# configuration itself.
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config-path: .circleci/test.yml
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