Teh Kok How

I have the following in `ConfigureWebHost()`: ``` services.AddLogging((loggingBuilder) => loggingBuilder.SetMinimumLevel(LogLevel.Debug).AddXUnit().AddConsole()); ```

This line of code in README: ``` .AddLogging((builder) => builder.AddXUnit(outputHelper)) ``` Is `ITestOutputHelper` available in `ConfigureWebHost()`? Otherwise how to add that into `AddXUnit`?

I just tried but to no avail.

Hi @mark-wiemer no "minimal" but this is the repo: https://github.com/khteh/Node.JSRestAPI ``` $ npm install $ npm run build_all $ npm run ts_test ```

> but I see this project doesn't support anything lower. `package.json`: ``` "engines": { "node": ">=25.0.0" }, ``` I don't think this is strictly required. Just that it is the...

``` start_pos = tf.convert_to_tensor(self._train_ds['start_positions'], dtype=tf.int64) File "/home/khteh/.local/share/virtualenvs/pAIthon-GaqEDHQT/lib/python3.13/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/khteh/.local/share/virtualenvs/pAIthon-GaqEDHQT/lib/python3.13/site-packages/tensorflow/python/framework/constant_op.py", line 108, in convert_to_eager_tensor return ops.EagerTensor(value, ctx.device_name, dtype) ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ValueError: TypeError: Scalar tensor...

Take a look at this plot. How easy is it to view it? And how "U" is it really UNet?

I can try that but how about the U-shape?

I don't think the `dpi` works well. Enclosed is the plot with `dpi=1000`. How far should it go to have a decent plot?

What do you think? At least vertical plot is better as I can scroll it conveniently using the mouse wheel which is not available for horizontal scrolling. I would epxect...