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We need to include tests (urgently)! Most important:
- [x] unit tests for all modules
- [x] encoder
- [x] embeddings
- [x] decoder
- [x] attention
- [x] data creation
…
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我们用maskrcnn预测一个(2304, 3072, 3)大小的图片,但在visualize mask时候报错如下
我们打印了mask的shape,发现是(3072, 2304);进一步打印test loader里这个图片的shape Tensor(shape=[1, 3, 1088, 800])就发现长宽颠倒了。请问有什么解决办法吗?是在input resize的时候有些问题吗?
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## 🐛 Bug
#### When concentration parameters a, b are equal and go to 0, sample values are wrong.
## To Reproduce
Steps to reproduce the behavior:
copy paste the following in a notebook:
…
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```
What steps will reproduce the problem?
1. Create a document
2. Insert a Plan text and change its color property to #987654 (for example)
and opacity from 0% to 100% (it should be 100% by default?…
-
```
What steps will reproduce the problem?
1. Create a document
2. Insert a Plan text and change its color property to #987654 (for example)
and opacity from 0% to 100% (it should be 100% by default?…
-
```
What steps will reproduce the problem?
1. Create a document
2. Insert a Plan text and change its color property to #987654 (for example)
and opacity from 0% to 100% (it should be 100% by default?…
-
```
What steps will reproduce the problem?
1. Create a document
2. Insert a Plan text and change its color property to #987654 (for example)
and opacity from 0% to 100% (it should be 100% by default?…
-
```
What steps will reproduce the problem?
1. Create a document
2. Insert a Plan text and change its color property to #987654 (for example)
and opacity from 0% to 100% (it should be 100% by default?…
-
```
What steps will reproduce the problem?
1. Create a document
2. Insert a Plan text and change its color property to #987654 (for example)
and opacity from 0% to 100% (it should be 100% by default?…
-
```
What steps will reproduce the problem?
1. Create a document
2. Insert a Plan text and change its color property to #987654 (for example)
and opacity from 0% to 100% (it should be 100% by default?…