Comments (2)
For my project, I just suppress them in __init__.py
wiht:
warnings.filterwarnings('ignore',
category=FutureWarning,
message=r"passing \(type, 1\) or '1type' as a synonym of type is deprecated",
module="tensor*")
They come from TensorFlow with NumPy >= v1.17.0.
But it is probably better to bypass importing TensorFlow entirely when --help
is used, if possible.
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To build the DeepHyper CLI parser we import the search classes and do some introspection on them. So the PPO search using reinforcement learning is imported and it itself imports Tensorflow. I recently noticed that a Mpi4py mock was added to this process to avoid mpi errors while using the CLI when openmpi is not installed (e.g., Theta login nodes). Thus, the deephyper nas ppo..
was not working at all. Given this two issues, I decided to remove the PPO search from the CLI. Tensorflow is not loaded anymore while using the parser.
from deephyper.
Related Issues (20)
- TypeError in GaussianProcessRegressor.fit() during CBO search HOT 4
- [FEATURE] Add option to minimise run-time to profile decorator
- [FEATURE] Handling of failures for MOO HOT 1
- [FEATURE] Checkpoint/Restart with fit_surrogate for MOO
- [FEATURE] add "pareto_efficient" boolean to result data frame of search HOT 1
- [FAQ] Direct Saving of Model with Best Weights and Biases HOT 2
- [DOC] RedisJSON Spack installation HOT 2
- [BUG] Multi-Objective Optimization - 101 - Error when loading the benchmark HOT 1
- [FEATURE] profile decorator should measure memory consumption HOT 1
- [OPT] Vectorise multi-objective scalarization functions
- [FEATURE] NAS search should collect metadata of trained neural networks
- [BUG] mpicomm KeyError:0 bug on ALCF Polaris after slingshot upgrade HOT 2
- [FEATURE] Parallel Coordinates Plots for Hyperparameter optimization results
- [BUG] UnboundLocalError: local variable 'max_features' referenced before assignment
- [DOC] Grid search with CBO HOT 2
- [Bug] Deprecated max_features="auto" in RandomForestRegressor causes UnboundLocalError in sklearn versions >=1.3 HOT 1
- [BUG] CBO fails when Multi-Objective Optimization uses constant liar HOT 1
- [BUG] NAS fails with Keras 3.0 HOT 1
- [BUG] why is cython a dependency? HOT 3
- [FAQ] How do I use DeepHyper with a job that requires Python multiprocessing? HOT 1
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