Signed-off-by: llhuii <liulinghui@huawei.com>

Add storage-initializer code/Dockerfile

gm/incrementallearningjob.go: fix wrong kind

Add shared storage code for LC

Signed-off-by: JimmyYang20 <yangjin39@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

1. fix the content of indirect url
2. s/S3_ENDPOINT/&_URL/
3. refactor the loggings
4. fix localpath bug

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

1. add 'CredientalName' into dataset/model/incrementallearningjob
2. add the secret info to storage-initializer download container if
needed
3. add the secret info to worker container if needed
4. sync the secret infos to LC in downstream.go if needed
5. add indirect url support

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: JimmyYang20 <yangjin39@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: JimmyYang20 <yangjin39@huawei.com>

1. add s3-like storage support
2. abstract storage-related(s3, hostpath) into storage_initializer_injector.go
3. refactor worker-related code into worker.go

Signed-off-by: llhuii <liulinghui@huawei.com>

supported protocols:
1. http(s)
2. s3 compatible with the env AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY,
   AWS_ENDPOINT_URL

Since the image kfserving/storage-initializer is big(~341MB) and have
some limits with http server, the end image size is 54.7MB:
1. support to download more than one uri
2. smaller image size: use minio-client instead of boto3(less than
40MB), remove gcs/azure
3. remove the http-server content-type limits
4. add obs protocol
5. also extract .tar.gz/.zip for s3
6. fix pep8 style

Signed-off-by: llhuii <liulinghui@huawei.com>

Add two issue templates

Update install script

1. retry to curl yamls
2. add 'SEDNA_ROOT' to install from existing source directory
3. force delete for the case deletion hangs

Signed-off-by: llhuii <liulinghui@huawei.com>

1. bug-report.md
2. enhancement.md

Signed-off-by: llhuii <liulinghui@huawei.com>

1. rm git prerequisite
2. explictly add 'SEDNA_ACTION=create' to install cmd

Signed-off-by: llhuii <liulinghui@huawei.com>

Fix example of federated learning

Signed-off-by: JimmyYang <yangjin39@huawei.com>

Add all-in-one installation script

1. add all-in-one installation script. also support uninstall operation.
2. update the installation docs using the all-in-one script

Signed-off-by: llhuii <liulinghui@huawei.com>

docs: enhance example of incremental learning

Fix examples: joint inference/federated learning

Signed-off-by: JimmyYang <yangjin39@huawei.com>

Signed-off-by: JimmyYang <yangjin39@huawei.com>

Signed-off-by: TymonXie <tymonxie@gmail.com>

incremental-learning: fix hem name/parameters

Signed-off-by: llhuii <liulinghui@huawei.com>

docs: update installation instructions

1. add note about the node GM deployed at
2. remove build sections
3. squash GM's steps
4. fix some misleading sentences

Signed-off-by: llhuii <liulinghui@huawei.com>

Add pod template support

1. add 'push' to push gm/lc images
2. add 'push-examples' to push examples images
3. add 'push-all' for both

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

since we switch to pod template which has large crd yaml, this would
lead to the error `metadata.annotations: Too long: must have at most
262144 bytes` when `kubectl apply -f`

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>

Signed-off-by: llhuii <liulinghui@huawei.com>