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Hello team,
We typically use `gather_all_token_logits` to collect the logit tensors for post-processing. Especially for large vocabulary sizes (128 000) this can require a lot of GPU memory. For ex…
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```
This is being caused by using mc simulation data(dose per particle score) and
the g4dose plugin.
The DVH calculations are breaking for me when I use RTDose data with a maxdose
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```
This is being caused by using mc simulation data(dose per particle score) and
the g4dose plugin.
The DVH calculations are breaking for me when I use RTDose data with a maxdose
-
```
This is being caused by using mc simulation data(dose per particle score) and
the g4dose plugin.
The DVH calculations are breaking for me when I use RTDose data with a maxdose
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It is rather arbitrary to say '10' for the number of font-sizes and floats.
This feature is only useful if the developer can enforce a standard that he has set.
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There are some useful defaults we could have for app icons. Place an icon in /assets/icon.png, and it gets used.
But it turns out there are many icons. Android has an arbitrary number of potential si…
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@YijinLiu @camect
Hi , I test mobilenet ssd model which downloaded from
"https://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip"
and…
-
```
This is being caused by using mc simulation data(dose per particle score) and
the g4dose plugin.
The DVH calculations are breaking for me when I use RTDose data with a maxdose
-
```
This is being caused by using mc simulation data(dose per particle score) and
the g4dose plugin.
The DVH calculations are breaking for me when I use RTDose data with a maxdose
-
# Feature or enhancement
I believe the next step toward untangling `ctypes` should be switching `cfield.c` to be based on fixed-width integer types.
This should be a pure refactoring, without user-vi…