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We currently support `batch` and `transaction` bundles, however we have suboptimal behavior on large bundles (i.e., 10 MB+ JSON or 1000+ bundle entries). The server will process the bundle, but users…
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sys.modules should not be touched in any way and makes the current way the addon works hang python in blender, with errors from every single addon that, the module is gone and cannot be reimported
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### Is your feature request related to a problem? Please describe.
The computing resource consumption of Picker is proportional to the number of files. Therefore, when the amount of files is large, i…
Li0k updated
12 hours ago
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### Description of feature
Currently, the `.cnn`, `.cns`, and `.cnr` gene columns are not annotated by default as the `cnvkit/batch` module is missing the annotate argument.
```
chromosome star…
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I did some tests when using both detection+recognition with a set of 30 images and I've seen that there is no speed improvements when using batches.
So I checked the code and if I got it right in yo…
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It appears that being able to send multiple batched queries is not supported.
I would like to be able to make a single network call to be able to execute multiple queries.
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The issue customer faces with batch inferencing using this approach proposed in https://github.com/aws-neuron/aws-neuron-sdk/issues/906.
"My output is in Tuple[List[torch.Tensor]] which works well…
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In the JSON RPC spec there's an optional way to batch requests.
https://www.jsonrpc.org/specification#batch
For applications that may need to frequently query from multiple places (like pools in…
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I observe the guidance in the code:
```python
# predict noise using model
pred_noise_c = model(x_t, t, c, torch.ones(batch_size).int().to(device))
pred_noise_none = model(x_t, t, c, torch.zeros(ba…
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I'm trying to run FastMNN on a Seurat object from an existing analysis where I previously used Harmony integration but now I want the expression values to be batch corrected so I'm trying to use fastM…