Comments (2)
We need to use an FTP server with high max file size capacity. I initially configured a free server but we cannot load (or save) the 30MB size of the h5 weights. If you can find another FTP server you just have to configure the new access information (username, password, etc.) in the 'config.py' file. In that moment we could start working distributed.
from chess-alpha-zero.
Sure I'll look around. Also could you see if you can use your company can let you use their Azure server for FTP?
BTW if you change the keras.json to use float16, it halves the size of the weights file.
from chess-alpha-zero.
Related Issues (20)
- Compatible with Ampere GPUs?
- Requirements for Newer PCs - Changing tensorflow-gpu==1.15 to tensorflow HOT 1
- Module 'keras.backend' has no attribute 'observe_object_name' HOT 2
- need help understanding the network
- Gobang version
- Why is the engine so weak? HOT 1
- I just can't install the project.
- Evaluate move_model doesn't move model_dir (Windows)
- AttributeError: module 'chess.pgn' has no attribute 'scan_offsets' HOT 1
- Lot of errors in opt HOT 1
- AttributeError: '_thread._local' object has no attribute 'value'
- Addition for 50-moves rule and en passant
- Error with recent merge regarding sl proces
- After fresh SL training data not able to start training.
- Please, help me understand this. HOT 1
- policy_out dimension HOT 1
- Issue with maybe_flip_fen method HOT 5
- Change the command for Supervised Learning in README.md
- AttributeError: 'Functional' object has no attribute '_make_predict_function' HOT 1
- Takes 30s to 40s per move!! and Why does it play only one opening as white? HOT 3
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from chess-alpha-zero.