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floyd-train.sh
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floyd-train.sh
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#!/bin/bash
RUNTIME=$(expr 60 \* 60 \* 4)
COMMIT=$(git --no-pager log --pretty=format:'%h' -n 1)
floyd run \
--message "$COMMIT SSC curriculum long training" \
--gpu \
--env tensorflow-1.10 \
--data davidmack/datasets/mac-graph-ssc:/input \
"python -m macgraph.train \
--dataset StationShortestCount \
--input-dir /input \
--model-dir /output \
--enable-comet \
--enable-floyd \
--max-decode-iterations 8 \
--train-max-steps 30 \
--tag upto_8 \
--tag iter_8 \
--tag curriculum \
--enable-curriculum \
--filter-output-class 8 \
--filter-output-class 7 \
--filter-output-class 6 \
--filter-output-class 5 \
--filter-output-class 4 \
--filter-output-class 3 \
--filter-output-class 2 \
--filter-output-class 1 \
--filter-output-class 0 \
--disable-control-cell \
--disable-read-cell \
--disable-memory-cell \
--disable-input-bilstm \
--enable-embed-const-eye \
--eval-every 90 \
--mp-state-width 1 \
--disable-mp-gru \
--input-width 128 \
--embed-width 128 \
--learning-rate 0.1 \
--fast"