tensorboard
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TensorFlow's Visualization Toolkit
Every time I start colab and tensorboard, I have to select the same settings, which is quite boring. If possible, I'd like to ask to control the "settings", for example...
## Environment information (required) Please run `diagnose_tensorboard.py` (link below) in the same environment from which you normally run TensorFlow/TensorBoard, and paste the output here: https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py ### Diagnostics ' Diagnostics output...
Here's a screenshot of a scalar plotted in `time series` with a large smoothing factor. Notice how the smoothed yellow trajectory isn't visible.  Here's the same...
### Diagnostics Diagnostics output `````` --- check: autoidentify INFO: diagnose_tensorboard.py source unavailable INFO: diagnose_tensorboard.py source unavailable --- check: general INFO: sys.version_info: sys.version_info(major=3, minor=7, micro=8, releaselevel='final', serial=0) INFO: sys.version_info: sys.version_info(major=3, minor=7,...
The actual label and image look different. When the Isolate point button is pressed. 
## Environment information (required) Linux:  cuda 11.4 pytorch 1.12.1 Python 3.8.18 PIL 10.3.0 tensorboard 2.14.0 I setup the environment by : `$ conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c...
Angular v19 is going to change the default value for `standalone` from `false` to `true`. Even though tensorboard is on an older version of Angular on GitHub, the version inside...
Bumps [express](https://github.com/expressjs/express) from 4.19.2 to 4.21.0. Release notes Sourced from express's releases. 4.21.0 What's Changed Deprecate "back" magic string in redirects by @blakeembrey in expressjs/express#5935 [email protected] by @wesleytodd in expressjs/express#5954...
## CLI Output ```bash $ docker build -t tensorboard . [+] Building 62.7s (7/17) docker:default => [internal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 1.26kB 0.0s =>...
I have the problem that in Tensorboard the metrics are not loaded correctly (the column is always empty), although the scalars are saved correctly. I am working with torch.utils.tensorboard. ...