modified tf-serving.libsonnet in object_detection example to fix the error of
"FileSystemStoragePathSource encountered a file-system access error:
Could not find base path /models/model for servable model"
Change-Id: I946a0a7fbb6c80992d66fe003ca90b1c21c67cfc
Signed-off-by: Henry Wang <henry.wang@arm.com>
In tensorflow/models/research/object_detection/, only
tensorflow/models/research/object_detection/legacy/train.py
supports kubeflow sor far (construct cluster by reading
TF_CONFIG environment var).
Fixes: #277
* Fix#272Fix#272 where the `create-pet-record-job` pod produces this error: `models/research/object_detection/data/pet_label_map.pbtxt; No such file or directory`
* Update create-pet-record-job.jsonnet
* Updated Dockerfile.traning to use latest tensorflow
and tensorflow object detetion api.
* Updated tf-training-job component and added a chief
replica spec
* Corrected some typos and updated some instructions
* Added Ksonnet prototypes to parametrize old yaml files
* Modified instructions
* Added tf-training-job component
* Removed yaml manifest files
Modified serving instructions
* Consolidate get-data and decompression jobs
* Deleted registry and prototypes
* Added components to ks-app dir
* Modified instructions
* Fixed references to user guide page
Improved instructions
* General improvements to components and instructions
* Removed obj-detection.libsonnet file
* used specific params in export-graph and create-tf-record
instead of list params like 'args' and 'command'
* Improved instructions and removed references to yaml files
MrXinWang