dmlc--dgl
Chang Liu
885be1784b
* Refactor GCN example * Refactor GCN based on graphsage * Readme update * Minor update * update * Remove user-defined GCN implementation * README update * Update * Update CONTRIBUTORS.md * update task_example_test Co-authored-by: Xin Yao <xiny@nvidia.com>
46 行
848 B
Bash
46 行
848 B
Bash
#!/bin/bash
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. /opt/conda/etc/profile.d/conda.sh
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conda activate pytorch-ci
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GCN_EXAMPLE_DIR="./examples/pytorch/"
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function fail {
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echo FAIL: $@
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exit -1
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}
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function usage {
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echo "Usage: $0 [cpu|gpu]"
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}
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# check arguments
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if [ $# -ne 1 ]; then
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usage
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fail "Error: must specify device"
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fi
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if [ "$1" == "cpu" ]; then
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dev=-1
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elif [ "$1" == "gpu" ]; then
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export CUDA_VISIBLE_DEVICES=0
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dev=0
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else
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usage
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fail "Unknown device $1"
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fi
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export DGLBACKEND=pytorch
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export DGL_LIBRARY_PATH=${PWD}/build
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export PYTHONPATH=${PWD}/python:$PYTHONPATH
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export DGL_DOWNLOAD_DIR=${PWD}
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# test
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pushd $GCN_EXAMPLE_DIR> /dev/null
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python3 pagerank.py || fail "run pagerank.py on $1"
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python3 gcn/train.py --dataset cora || fail "run gcn/train.py on $1"
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python3 lda/lda_model.py || fail "run lda/lda_model.py on $1"
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popd > /dev/null
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