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Could you guide me how to expand this awesome work to support conditional RL?
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Traceback (most recent call last):
File "Situation3.py", line 187, in
print("random.choice(style_dataset)",random.choice(style_dataset))
File "/home/guest/cwy/miniconda3/lib/python3.8/rand…
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##### System information (version)
- OpenCV => 4.4.0-dev
##### Detailed description
I was wondering if dnn::Net offers a similar method to `getUnconnectedOutputLayers()` for input layers. Use cas…
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Hi, in PyTorch docs we can read:
```
torch.nn only supports mini-batches. The entire torch.nn package only supports inputs that are a mini-batch of samples, and not a single sample.
For example, …
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Congrats on the great work! This is a great work. I beg some replies to my confusion. In the code line 77, utils.py, new_t is divided by interval, which is (total_end-total_start)/num_frame, and num_f…
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Normalizing targets
done
Solving...
/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gradients_impl.py:93: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shap…
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Currently I don't see a way to implement einsum or batched matmul using the standard. There is a way with explicit loop, but that does not count.
Some ways this can be addressed:
- minimal imple…
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can you give more math details about "meta_backward", I just read the code and Reverse_HG, but I couldn't understand your code.
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**Describe the bug**
When trying to create a keras model using an input with `BertPreprocessor`, it is impossible to construct. This is based off of following [Sentence embeddings using Siamese RoBER…
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Hi, I can get good results with cyclegan in 'lsgan' mode on horse2zebra dataset, but when I change the gan mode to 'wgangp' and follow your codes:
self.loss_gp, gradients = cal_gradient_penalty()...
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