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403 Insufficient Permission error when writing to GCS #709
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Seems like this issue is now resolved as of pipelines 1.7. Just in case, you can add the secret using .apply(use_gcp_secret('')), which will mount the json auth file under '/secret/gcp-credentials/.json' example:
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* ACM should point at kubeflowt/testing/master related to GoogleCloudPlatform/kubeflow-distribution#51 * Delete old config for auto-deploy.yaml * Fix the makefile
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* Predict protocol V2 proposal * Add clarifying statement about use of platform * Model version should be specified as a string * Add endorsements * Fix typo * Update docs/predict-api/v2/required_api.md Co-Authored-By: Animesh Singh <singhan@us.ibm.com> * Update required_api.md Co-authored-by: Animesh Singh <singhan@us.ibm.com>
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When attempting to copy files to GCS I get an AccessDenied error however the kubeflow user service account has write access to the bucket,
sample component is as follows:
def copy_to_gcs_op(step_name='load data'):
return dsl.ContainerOp(
name = step_name,
image = GCLOUD_SDK,
command=['sh', '-c'],
arguments = [''gsutil -m cp -R
results in:
Copying file:///mnt/vol/retrain_logs/validation/events.out.tfevents.1547924733.tfhub-image-classifier-bjpjx-2847653555 [Content-Type=application/octet-stream]...
/ [0/2 files][ 0.0 B/ 4.6 MiB] 0% Done
AccessDeniedException: 403 Insufficient Permission
CommandException: 1 files/objects could not be transferred.
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