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Hello, I am trying to build Ceres 2.1.0 on a NVidea Jetson Nano 4Gb.
This is the setup of my installation:
```
NVIDIA NVIDIA Jetson Nano Developer Kit
L4T 32.7.2 [ JetPack 4.6.2 ]
Ubuntu 18.0…
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Hi! Thanks for sharing the work again!
I'm wondering how is your test on using more data going?
…
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I've checked with https://gist.github.com/mjpieters/29623e9585fd694cdcc5 and it crashed with `Uncaught RangeError: Maximum call stack size exceeded`. Maybe there is a place for optimizations.
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The data download scripts are segfaulting for me on an Ubuntu p3.8x machine on aws
## Description
```
python3 datasets/dataset_setup.py \
--data_dir=~/data \
--librispeech
```
Both libris…
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#### Your LeetCode username
cewhiting
#### Category of the bug
- [ ] Question
- [X] Solution
- [ ] Language
- [ ] Missing Test Cases
#### Description of the bug
The interview …
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I only see an iterative pruning method in the doc.
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### 🐛 Describe the bug
Calling `torch.linalg.eigh` on a CUDA tensor fails, but the computation succeeds when the tensor is on the CPU.
I have experienced this issue on CUDA 11.6, 11.7 and 11.8.
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Hi @Wuziyi616,
Thanks for sharing a clean version of the bb benchmark code, it looks quite nice and well organized. I have some questions though which I would like to clarify.
1. If I understand…
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**Describe the bug**:
- scheduler: AGP
- pruner: TaylorFO
- mode: global
- using evaluator (new api)
- torchvision resnet 18 model
- iterations: 10
**Environment**:
- NNI version: 2.10
-…
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I tried to prune 50% of the following network:
```
model = nn.Sequential(
nn.Conv2d(3, 8, 3, padding=1),
nn.ConvTranspose2d(8, 8, 3, padding=1),
nn.Conv2d(8, 3, 3, padding=1)
)
```
…