robotsp

Results 18 issues of robotsp

Env: spark standalone on docker Case: the trained pyspark model (randomforest) deployed on docker Questions: When I use gunicorn to start the service, including (model loading, prediction) and expose API...

The docker is deployed with spark standalone, and load the trained pyspark model (randomforest). But when I use gunicorn to start it up, it is very slow and give prediction....

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question
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I implemented a function in fairseq_cli/train.py, to freeze the parameters, ``` def freeze_param_grad_zero(model): for name, param in model.named_parameters(): if "fc1" in name or "fc2" in name: print("========= start freezing =========")...

bug
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question
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## ❓ Questions and Help ### Before asking: 1. search the issues. 2. search the docs. #### What is your question? #### Code #### What have you tried? #### What's...

question
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@LeslieOverfitting , Would you please share which code files did you develop, I have found `selective_distillation/tree/main/fairseq/criterions/label_smoothed_cross_entropy.py` is the one that you develop the distillation strategy. What else? Thanks!

@FadedCosine Hi, would you please provide the code of reproducing the experimental results of baselines (Word-KD, Seq-KD, and BERT-KD) in Table 2 of your paper? Many thanks!