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)

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.

image

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)
image

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

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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