Comments (2)
ok. i installed it successfully.here's the pip list of this project.
Package Version
-------------------- ---------
absl-py 1.3.0
astor 0.8.1
certifi 2022.9.24
gast 0.5.3
google-pasta 0.2.0
grpcio 1.50.0
h5py 3.7.0
importlib-metadata 5.0.0
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
Markdown 3.4.1
MarkupSafe 2.1.1
networkx 2.6.3
numpy 1.21.6
pip 22.2.2
protobuf 3.20.0
setuptools 65.5.0
six 1.16.0
tensorboard 1.14.0
tensorflow 1.14.0
tensorflow-estimator 1.14.0
termcolor 2.1.1
typing_extensions 4.4.0
Werkzeug 2.2.2
wheel 0.37.1
wrapt 1.14.1
zipp 3.10.0
from decima-sim.
gpu_version
absl-py 1.4.0
astor 0.8.1
certifi 2022.12.7
gast 0.5.4
google-pasta 0.2.0
grpcio 1.54.0
h5py 3.8.0
importlib-metadata 6.6.0
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
Markdown 3.4.3
MarkupSafe 2.1.2
numpy 1.16.4
pip 22.3.1
protobuf 3.20.0
setuptools 65.6.3
six 1.16.0
tensorboard 1.14.0
tensorflow-estimator 1.14.0
tensorflow-gpu 1.14.0
termcolor 2.3.0
typing_extensions 4.5.0
Werkzeug 2.2.3
wheel 0.38.4
wincertstore 0.2
wrapt 1.15.0
zipp 3.15.0
from decima-sim.
Related Issues (20)
- some questions of your code HOT 9
- The model training issue with reward function optimizing makespan HOT 14
- Updating Tensorflow 1.14 to 2 HOT 3
- About nodes information HOT 1
- A question about the result HOT 5
- some question about the main idea
- Some questions about Decima's GNN HOT 2
- A question about actor_network HOT 2
- Questions about the input vector HOT 2
- What are the versions of the project pkg requirement? HOT 6
- Question about multi resource training. HOT 1
- when calculating the reward whether the locality of the data to the core is taken into account? in other word,the data transfer between different nodes may significant affect the reward calculation.
- How to integrate Decima in Spark
- About the model of generation HOT 1
- Question about .npy files
- Some questions about executor
- Code for Learning State Representation
- Bug in determining `done` in `env.step`?
- PyTorch Implementation of Decima Available!
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from decima-sim.