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### Summary of the chapter in the form of points
- This chapter focuses on **competitive environments** and **adversarial search problems**, where multiple agents have conflicting goals.
- The cha…
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For a simple Trinity::query_rewrite(), with budget set to 250, and a lambda that simply returns an alternative for a sequence of tokens the concatenation of said tokens (i.e from [mac, book] => macbo…
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> 一个记录问题的issues: 只是简单的将 test/xx.py 中 xx.py 通过 import oneflow as torch方式测试,后续将修复发现的error
## 引言
为了验证 OneFlow-Pruning 的剪枝,,对 OneFlow-Pruning/tests/ 中的测试用例进行了正确性测试。
![image](https://user-images.githubu…
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**Describe the bug**:
“assert len(args) >= len(self.undetermined) AssertionError” when pruning and speedup the diffusion model using LinearPruner
**Environment**:
- NNI version: 2.10
- Traini…
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hello @VainF,
Can you please check the following? Thanks.
deit_small_patch16_224 pruning throws the following error:
```ruby
File "/home/viplab/Deepak/Torch_Pruning_v137/examples/transf…
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**Link to the notebook**
Add the link to the notebook.
https://github.com/aws/amazon-sagemaker-examples/blob/c44f8773fc3756b4a1c00a60ae1c6817ef87a00e/introduction_to_amazon_algorithms/object2vec_m…
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### Checklist
- I have searched related issues but cannot get the expected help.
- I have read related documents and don't know what to do.
### Describe the question you meet
I want to…
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**Describe the issue**:
不支持Pytorch的nn.InstanceNorm2d
![image](https://user-images.githubusercontent.com/31611317/145787296-a9133542-2dcc-4d58-bd9c-39d9870789a2.png)
下面定义一个简单使用了`nn.InstanceNorm2…
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I noticed that in your GCT-Main-Continuous.R code, the calculation of the ATE for the final test sample is based on data generated within the code. Could you advise on how to set an appropriate uncert…
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The belief points are currently only selected at the initialization of the algorithm. As a next step, the belief points should be updated during the iterations.
This is, in general, a crucial point f…