tensorflow / tensorflow/tensorboard
Issue with opening Tensorboard with AWS sage maker
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Description
I am trying to open Tensorboard using AWS sage maker. There is an example code already available in AWS ( Link https://docs.aws.amazon.com/sagemaker/latest/dg/studio-tensorboard.html)
To Test I have followed the steps and opened tensorboard in aws host as above. I could see my Tensorboard but No data is displayed. The board is just empty (see the image)

I also wanted to use the PROJECTOR. So I created checkpoints during the training and saved it in the same path as per the Tensorflow documentation.

My log directory is test_logs/fit/20230412-215858
So, In the root directory of my Terminal - I used
tensorboard --logdir test_logs/fit/20230412-215858
But when i open the Tensorboard PROJECTOR i get an error (No Checkpoint was found)

I do not understand why I am receiving this error? The log_dir is correctly checked and I am in my root directory. Can anyone tell me what I am doing wrong?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the AWS SageMaker TensorBoard setup from the linked documentation, using the reported log directory test_logs/fit/20230412-215858. Check the TensorBoard view and PROJECTOR entry point against the saved checkpoints; done means TensorBoard displays the logged data and PROJECTOR finds the checkpoint.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, tensorflow
- Domain
- cloud, data-visualization, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100