Comments (4)
amj
commented on August 18, 2024
We haven't tested it, but it should. Minigo is all python, so it should run on all platforms.
We don't have a binary that we distribute, so it will involve setting up a python development environment; there's the official python docs and this looks like a good writeup for how to use virtualenv.
Please note though that i haven't tested the instructions on either! :) If you try it, would you let us know how it works?
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artasparks
commented on August 18, 2024
I think we'd love to support being able to play the model in a Windows 10 environment. For training + self play, we'll probably just support Linux since we're planning on running this on the Cloud.
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zxo102
commented on August 18, 2024
virtualenvwrapper-win can only be installed with python2.7, but not with python3.5 and python 3.6. Anyway, I just setup ubuntu system for minigo for now.
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amj
commented on August 18, 2024
@tommadams has been doing work on getting this to compile on windows (see #580 ), and this looks like as good a bug as any to track that work. Re-opening!
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Related Issues (20)
- run concurrent selfplay without bazel HOT 1
- Running minigo with Sabaki GUI HOT 2
- Problem while building tpu-image HOT 3
- Problem in features.stone_features HOT 1
- Onscreen buttons in lw_demo don't toggle (work)
- Minigo not working on Coral accelerator HOT 4
- Add Edge TPU support to C++ engine HOT 1
- Decouple the conv data format from the input feature layout HOT 8
- How strong is the model in kyu/dan? HOT 7
- 000990-cormorant: stderr thread died HOT 1
- Wrong argument passed in minigui/fetch-and-run.sh HOT 1
- How to communicate with engine easily outside stdin HOT 2
- Support for sending board state to the engine via GTP HOT 6
- Looking for 9x9 model files in .minigo file format HOT 7
- Error on Minigo v15(990)
- tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: Assign requires shapes of both tensors to match HOT 3
- The setting of num_readouts to get strongest of minigo
- train.sh in cloud tpu
- Minigo training using Coral Dev Board HOT 1
- ./cc/configure_tensorflow.sh HOT 1
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