lightning/dockers/tpu-tests/docker-entrypoint.sh

#!/bin/bash
# source ~/.bashrc
echo "running docker-entrypoint.sh"
# conda activate container
echo $KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS
echo "printed TPU info"
export XRT_TPU_CONFIG="tpu_worker;0;${KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS:7}"
exec "$@"
Add Github Action to run TPU tests. (#2376) * Add Github Action to run TPU tests. * Trigger new Github Actions run. * Clean up more comments. * Use different fixed version of ml-testing-accelerators and update config to match. * use cluster in us-central1-a * Run 'gcloud logging read' directly without 'echo' to preserve newlines. * cat coverage.xml on the TPU VM side and upload xml on the Github Action side * Use new commit on ml-testing-accelerators so command runs fully. * Preserve newlines in the xml and use if: always() temporarily to upload codecov * Use pytorch_lightning for coverage instead of pytorch-lightning * Remove the debug cat of coverage xml * Apply suggestions from code review * jsonnet rename * name * add codecov flags * add codecov flags * codecov * codecov * revert codecov * Clean up after apt-get and remove old TODOs. * More codefactor cleanups. * drone * drone * disable codecov * cleaning * docker py versions * docker py 3.7 * readme * bash * docker * freeze conda * py3.6 * Stop using apt-get clean. * Dont rm pytorch-lightning * Update docker/tpu/Dockerfile * Longer timeout in the Github Action to wait for GKE to finish. * job1 * job2 * job3 Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> 2020-07-02 01:44:19 +00:00			`#!/bin/bash`
Revert "Revert "join coverage (#2460)" (#2499)" (#2500) This reverts commit 355918af8dcee6bb21cbdc497b7b33243fec8db3. 2020-07-04 15:31:12 +00:00			`# source ~/.bashrc`
Add Github Action to run TPU tests. (#2376) * Add Github Action to run TPU tests. * Trigger new Github Actions run. * Clean up more comments. * Use different fixed version of ml-testing-accelerators and update config to match. * use cluster in us-central1-a * Run 'gcloud logging read' directly without 'echo' to preserve newlines. * cat coverage.xml on the TPU VM side and upload xml on the Github Action side * Use new commit on ml-testing-accelerators so command runs fully. * Preserve newlines in the xml and use if: always() temporarily to upload codecov * Use pytorch_lightning for coverage instead of pytorch-lightning * Remove the debug cat of coverage xml * Apply suggestions from code review * jsonnet rename * name * add codecov flags * add codecov flags * codecov * codecov * revert codecov * Clean up after apt-get and remove old TODOs. * More codefactor cleanups. * drone * drone * disable codecov * cleaning * docker py versions * docker py 3.7 * readme * bash * docker * freeze conda * py3.6 * Stop using apt-get clean. * Dont rm pytorch-lightning * Update docker/tpu/Dockerfile * Longer timeout in the Github Action to wait for GKE to finish. * job1 * job2 * job3 Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> 2020-07-02 01:44:19 +00:00			`echo "running docker-entrypoint.sh"`
Revert "Revert "join coverage (#2460)" (#2499)" (#2500) This reverts commit 355918af8dcee6bb21cbdc497b7b33243fec8db3. 2020-07-04 15:31:12 +00:00			`# conda activate container`
Add Github Action to run TPU tests. (#2376) * Add Github Action to run TPU tests. * Trigger new Github Actions run. * Clean up more comments. * Use different fixed version of ml-testing-accelerators and update config to match. * use cluster in us-central1-a * Run 'gcloud logging read' directly without 'echo' to preserve newlines. * cat coverage.xml on the TPU VM side and upload xml on the Github Action side * Use new commit on ml-testing-accelerators so command runs fully. * Preserve newlines in the xml and use if: always() temporarily to upload codecov * Use pytorch_lightning for coverage instead of pytorch-lightning * Remove the debug cat of coverage xml * Apply suggestions from code review * jsonnet rename * name * add codecov flags * add codecov flags * codecov * codecov * revert codecov * Clean up after apt-get and remove old TODOs. * More codefactor cleanups. * drone * drone * disable codecov * cleaning * docker py versions * docker py 3.7 * readme * bash * docker * freeze conda * py3.6 * Stop using apt-get clean. * Dont rm pytorch-lightning * Update docker/tpu/Dockerfile * Longer timeout in the Github Action to wait for GKE to finish. * job1 * job2 * job3 Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> 2020-07-02 01:44:19 +00:00			`echo $KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS`
			`echo "printed TPU info"`
			`export XRT_TPU_CONFIG="tpu_worker;0;${KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS:7}"`
			`exec "$@"`