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Hi, thanks for open-sourcing the project. I run the train_network.py module with the default settings and I get the following error.
Traceback (most recent call last):
File "train_network.py", l…
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Ref: https://github.com/dask-contrib/dask-awkward/issues/138
The referenced issue provides a way to make a dask HLG having 746 layers. This size, and much bigger, look like they might be common wit…
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In dask/main since https://github.com/dask/dask/pull/11248/ (which was included in 2024.9.0 ).
Because dask-awkward and dask-histogram have custom sizeof implementations listed in entrypoints, they…
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In the carving preprocessing applet, the filtered image is computed in one step instead of blockwise. This was thought that this was okay because carving is not designed to work on really large data …
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This is an advanced applet, we shouldn't provide it by default
Some text is also needed in its drawer space.
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Thank you very much for your excellent work. I am now encountering this problem while training my model in a virtual environment.
The passed generator was created on 'cpu' even though a tensor on…
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Simultaneous blockwise (block1) requests to the same resource can not be distinguished in CoAP and thus need to be serialized or originate from different ports.
Neither happens, causing test_blockw…
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I found this function useful - sort of a blockwise pdotimes. One could do the same with map, but
this turned out to be simpler to use for me. If I'm not missing something, it might be a useful sta…
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Currently blockwise blindly performs an outer product of chunks when doing outer products. This can result in very large chunks, which break computation.
```python
import dask.array as da
x = da…
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In the scope of LwM2M, a question about the usage of the token in relation with a blockwise transfer occurred.
Is it valid to use the client's token to relation a server side state to the request? …