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NNUE (ƎUИИ Efficiently Updatable Neural Network) is a sparse shallow neural network architecture that can be calculated incrementally. This has proven incredibly successful in [Chess](https://github.c…
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### Describe the bug
error log:
```
Traceback (most recent call last):
File "/root/project/mmrazor/mmrazor/models/algorithms/autoslim.py", line 69, in _init_pruner
pseudo_pruner.prepare_fro…
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Hi, Thank you for approaching me efficient pruning method.
I implemented 1 of 2 pruning steps(Training & Masked retraining). While I train with train.py, 4 batch size, and 25 epoch, It implements 0…
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1. Star the Repository
2. Complete the Task
3. Make a Pull request
4. I will merge your Pull request
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Hi,
it would be very helpful to have a [C5.0 Decision tree algorithm](https://rulequest.com/download.html) implementation in tfdf as there is none until now for Python and guess there is quite some…
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(outdated, kept for posterity)
For GRANDPA, Casper CBC, and other chain-based consensus algorithms, we may occasionally need to download many forks which are typically small and typically not the b…
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**Describe the issue**:
```
RuntimeError: Has not supported infering output shape from input shape for module/function: `aten::unsqueeze`, .aten::unsqueeze.90
```
(Complete log below)
**Envi…
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**Describe the bug**
prune_low_magnitude cannot reduce the size of tflite model. I run the pruning with keras example (https://github.com/tensorflow/model-optimization/blob/master/tensorflow_model_…
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Follow these steps -
1. Star the Repository
2. Write your explanation in the readme file.
3. Make a pull request
4. I will merge your pull request
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For more such issues and to get n…
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### Describe the bug
A clear and concise description of what the bug is.
When I ran the script pruning/get_channel_units.py, I got this error: TypeError: expected Tensor as element 0 in argument…