提交Google Cloud ML培训作业以进行Tensorflow对象检测时出现错误消息
问题描述:
尝试提交针对Tensorflow对象检测任务的Google Cloud ML培训作业,我正在关注
Trying to submit a Google Cloud ML Training job for Tensorflow Object Detection task and I am following the official guideline
以下是我正在提交的工作:
Following is the job that I am submitting:
export CONFIG=trainer/cloud.yaml
export TRAIN_DIR=kt-1000/training
export PIPELINE_CONFIG=kt-1000/training/ssd_mobilenet_v1_pets.config
gcloud ml-engine jobs submit training object_detection_`date +%s` \
--job-dir=gs://${TRAIN_DIR} \
--packages dist/object_detection-0.1.tar.gz,slim/dist/slim
0.1.tar.gz \
--module-name object_detection.train \
--region asia-east1-a \
--config ${CONFIG} \
-- \
--train_dir=gs://${TRAIN_DIR} \
--pipeline_config_path=gs://${PIPELINE_CONFIG}
我收到以下错误消息:
ERROR: (gcloud.ml-engine.jobs.submit.training) unrecognized arguments:
但是错误消息并没有指出无法识别哪个参数!!!
The Error message however does not point out which argument/s is unrecognised though!!!!
对此的任何帮助将不胜感激
Any help on this will be truly appreciated
谢谢
Devjothi
答
您只需要删除--
之前的任何空格,就像这样:
You just have to remove any space before --
, like this:
gcloud ml-engine jobs submit training $JOB_NAME \
--job-dir $OUTPUT_PATH \
--runtime-version 1.10 \
--python-version 3.5 \
--module-name trainer.task \
--package-path trainer/ \
--region $REGION \
-- \
--train-files $TRAIN_DATA \
--eval-files $EVAL_DATA \
--train-steps 1000 \
--eval-steps 100 \
--verbosity DEBUG