Comments (5)
I can reproduce the issue on my machine with a freshly installed conda environment.
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conda create -n autopytorch python pip
source activate autopytorch
git clone https://github.com/automl/Auto-PyTorch.git
cd Auto-PyTorch/
conda install pytorch-cpu -c pytorch
pip install -r requirements.txt
python setup.py install
cat README.md
vi test.py
python test.py
with running the example from the README
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Hi,
we forgot to check if cuda is available in predict(). My last commit should fix this issue.
Cheers,
Matthias
from auto-pytorch.
Yes, now it works! Still, the final incumbent has cuda=True
, but feel free to close this issue for now.
from auto-pytorch.
The dictionary containing cuda=True is not the final incumbent, but the settings Auto-PyTorch has been started with (Hyperparameters of Auto-PyTorch).
It was not possible to set the default value of cuda to cuda.is_available(), because that caused problems with pynisher. It seems to be impossible to call cuda methods from different processes.
So we chose to set the default of cuda to True and then disable it, if it is not available.
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Related Issues (20)
- [Time series Forecasting] Continuous Ranked Probablity Score (CRPS) loss for probablity network ouput type HOT 2
- Improve `include_components` documentation HOT 1
- Cannot run time-series example on GPU HOT 1
- Score function error on example code HOT 2
- Prediction on one sample produces error HOT 1
- The predict method of the base task expects to build a logger from a temporary folder
- [Feature request] time series classification HOT 2
- Question about how to maximize the search space HOT 1
- AutoPytorch selects only Dummy model. HOT 4
- Generate a leaderboard for each model?
- ImportError: cannot import name 'AutoNetClassification' from 'autoPyTorch' HOT 1
- I ran autopytrch 0.2 on multiple datasets every time it picks the Dummy model HOT 1
- Error in using command "from autoPyTorch.api.time_series_forecasting import TimeSeriesForecastingTask" HOT 2
- TypeError occurs when import TabularRegressionTask
- Image Classification: API not finished
- Can't install on Google Colab HOT 4
- Errors on running example_tabular_classification.py HOT 1
- Errors installing autoPyTorch HOT 1
- [ERROR] [Client-AutoPyTorch:RefitLogger:1] Prediction for lgb failed with run state StatusType.TIMEOUT.
- Multi-GPU support
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