mindspore/tests/st/hcom/run_hcom_sparsetensor.sh

54 lines
1.7 KiB
Bash

#!/bin/bash
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
set -e
BASE_PATH=$(
cd "$(dirname $0)"
pwd
)
CONFIG_PATH=/home/workspace/mindspore_config
export DEVICE_NUM=8
export RANK_SIZE=$DEVICE_NUM
source ${BASE_PATH}/env_hcom.sh
unset SLOG_PRINT_TO_STDOUT
export MINDSPORE_HCCL_CONFIG_PATH=$CONFIG_PATH/hccl/rank_table_${DEVICE_NUM}p.json
process_pid=()
for ((i = 0; i < $DEVICE_NUM; i++)); do
rm -rf ${BASE_PATH}/hcom_sparsetensor${i}
mkdir ${BASE_PATH}/hcom_sparsetensor${i}
cp -r ${BASE_PATH}/hcom_sparsetensor.py ${BASE_PATH}/hcom_sparsetensor${i}/
cd ${BASE_PATH}/hcom_sparsetensor${i}
export RANK_ID=${i}
export DEVICE_ID=${i}
echo "start training for device $i"
env >env$i.log
pytest -s -v hcom_sparsetensor.py >test_hcom_sparsetensor_8p_log$i.log 2>&1 &
process_pid[${i}]=$(echo $!)
done
for ((i = 0; i < ${DEVICE_NUM}; i++)); do
wait ${process_pid[i]}
status=$(echo $?)
if [ "${status}" != "0" ]; then
echo "[ERROR] test_hcom_sparsetensor failed. status: ${status}"
exit 1
else
echo "[INFO] test_hcom_sparsetensor success."
fi
done
exit 0