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renaming top level python package (issue #914) #945
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Hey @zabbasi, TravisCI finished with status TravisBuddy Request Identifier: 61dce690-36dd-11e9-afc2-91cde96227b3 |
Travis tests have failedHey @zabbasi, 1st Buildgometalinter --config=linter_config.json --vendor ./...
goveralls -service=travis-ci -v -package ./pkg/... -ignore "pkg/client/*/*.go,pkg/client/*/*/*.go,pkg/client/*/*/*/*.go,pkg/client/*/*/*/*/*.go,pkg/client/*/*/*/*/*/*.go,pkg/client/*/*/*/*/*/*/*.go,pkg/util/testutil/*.go,pkg/apis/tensorflow/*/zz_generated.*.go,pkg/apis/tensorflow/*/*_generated.go,pkg/apis/common/*/zz_generated.*.go,pkg/apis/common/*/*_generated.go"
TravisBuddy Request Identifier: c8874b90-36f8-11e9-afc2-91cde96227b3 |
/retest |
1 similar comment
/retest |
/assign @richardsliu |
@jlewi Can you also take a look? Generally lgtm - but we may need to pin the version of tf-operator used in kubeflow/kubeflow to a particular commit hash or release, so that the tests are not broken. |
Fixes #914 |
/lgtm |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: richardsliu The full list of commands accepted by this bot can be found here. The pull request process is described here
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Rename testing package as kubeflow/training-operator#945 Added correct path to import test framework from tf-operator
Rename testing package as kubeflow/training-operator#945 Added correct path to import test framework from tf-operator
* Add build and test presubmit jobs for Pytorch nmist example Keep postsubmit jobs as original release job to push images to examples registry * Refactor all jobs like mnist and GIS, will drop using release jobs * Implement test scripts and Ksonnet artifacts from mnist example to enable E2E tests * Remove release components as they are no longer used * Refactor YAML manifests as Ksonnet components * Update documentation to submit training jobs from Ksonnet * Updated to point to correct component and refactor to PytorchJob * Add seldon image build Add train CPU and GPU in jsonnet to build workflow Add Dockerfile.ksonnet and entrypoint * Commented out calls to tf-util until kubeflow/pytorch-operator#108 is implemented * Refactor to PytorchJob * Add seldon image build Add train CPU and GPU in jsonnet to build workflow Add Dockerfile.ksonnet and entrypoint * Refactor to PytorchJob * Rename workflow to avoid dns issue with "_" * Add TODO note to convert to GRPC * Rename workflow to avoid dns issue with "_" * Rename workflow to avoid dns issue with "_" * Fix path to build Seldon image in Makefile * Fix tabs in Makefile * Fix tabs in Makefile * Fix rule in Makefile * Add sleep in Makefile to wait for docker ps * Change node worker image to have docker * Remove seldon image step from Makefile Add steps to wrap model with Seldon Add boolean flag to build Seldon steps * Add step id build- in jsonnet * Skip pull step for Seldon * Fix wait for in Seldon build * Fix lint errors * Set useimagecache to false first time the pipeline is executed to avoid error * Set contextDir as absolute path for Seldon step * Remove unnecessary argument and Dockerfile in Seldon step * Add absolute path for build in Seldon steps * Include absolute path inside jsonnet hardcoded to GCB /workspace/ Remove setting rootDir from Makefile * Update images with new naming from E2E tests * Change test-worker image version * Update images with new naming from E2E tests * Set useimagecache to true now that we have first images built * Fix cachelist in Seldon build * Fix cachelist in Seldon build * Leverage tf-operator test framework for test_runner As per kubeflow/pytorch-operator#108 * Consolidate testing imports Rename testing package as kubeflow/training-operator#945 Added correct path to import test framework from tf-operator * Add test framework in PYTHONPATH in build_template * Remove old release jobs to build images * Update stepimage to same as GIS example * Bump up supported Pytorch operator versions from v1alpha2/v1beta1 to v1beta1/v1beta2 to support Kubeflow 0.5 - Refactor training manifests from v1alpha2 to v1beta2 - Update documents * Update KF cluster version to latest to run tests * Update KF cluster zone * Add pylint exception while importing test_runner class from tf-operator * Pass dummy tests to train, deploy and predict Remove no longer used test_data and conftest * Pass dummy tests to train, deploy and predict Remove no longer used test_data and conftest
This change is