Comments (4)
Hey @nkw011! The build_activation function seems to be lacking some flexibility.
I think the best thing to do is to just modify it to be the following:
def build_activation(self, activation: str) -> nn.Module:
if hasattr(nn, activation):
return getattr(nn, activation)()
else:
raise Exception(f"{activation} is not a valid activation function!")
and then everything should work.
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the reason its not working atm is that when you pass "ReLU" it will be converted to the string "Relu" by the title function and thus it will not match any of the activation functions in the torch.nn package
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@ricardorei Thank you for replying my question! I'm sorry but have one more question. The build activation function is located in comet/modules/feedforward.py. Can I get a way to modify the bulid activation function in pip package 'unbabel-comet' installed in local computer as you explain?
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You should be able to do it. When you installed the package the code was stored somewhere in your computer. You just have to locate the source code and modify the function.
A simpler alternative is to just install the code from source:
Just clone the repo to your favourite location and install it:
git clone https://github.com/Unbabel/COMET
cd COMET
pip install poetry
poetry install
Then you can modify whatever you like.
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Related Issues (20)
- if tgt is same with src, the score is still high HOT 2
- [QUESTION] Train UnifiedMetric/XCOMET with word level predictions. HOT 1
- Sparsemax not actually used in COMET-KIWI, XCOMET-XL/XXL HOT 4
- Invalid link reference of reference-free model in readme
- Minimizing cpu RAM vs only use GPU RAM HOT 1
- what is the precision when load_from_checkpoint?
- Runtime error when loading wmt23-cometkiwi-da-xl HOT 1
- Different scores from different COMET package versions 1.1.2 and 2.2.1 HOT 2
- Different versions of COMET code give different scores with the same model and date.
- [QUESTION] large file scoring HOT 3
- [QUESTION] Splitting big models over multiple GPUs HOT 6
- [QUESTION] Memory footprint HOT 21
- [INPUT] Text Length of Input (source, reference, and hypothesis) HOT 2
- Change the global variable logger to comet_logger HOT 1
- Training script for XCOMET HOT 1
- Safetensors Support
- [QUESTION] OOM when load XCOMET-XXL in A100 with 40G memory for prediction HOT 4
- [QUESTION] why num_layers = num_hidden_layers + 1 HOT 1
- [QUESTION] Comet kiwi architecture HOT 11
- Training data and scripts used for wmt22-cometkiwi-da HOT 3
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