Comments (8)
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TPU apparently doesn't support NCHW conv at all...
from minigo.
Is it purely theoretical topic or the part of MiniGo v18 building process?
from minigo.
This is more for MLPerf, which uses smaller models and has a much higher CPU:GPU compute load than a regular Minigo run.
from minigo.
MLPerf is a kind of a "lab", where you can try some algorithm's changes and improvements on a smaller Networks before implement it for a regular full sized run? Sorry, if I get something wrong :)
from minigo.
MLPerf is a suite of machine learning benchmarks that many major tech companies collaborate on. Minigo is the reinforcement learning benchmark for MLPerf.
from minigo.
See https://github.com/tensorflow/minigo/tree/master/ml_perf for the implementation. It's basically a smaller & simplified version of the full pipeline
from minigo.
Thanks for clarification and links! Now I can see that I didn't know about the MLPerf background of MiniGo.
I thought, MG is enthusiastic and independent Go project like LZ or KataGo. But missed the point about something bigger behind, which drives the MiniGo team
from minigo.
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
- 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
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