DeepLab V3+：ResourceExhaustedError (see above for traceback): OOM when allocating tensor of shape

在跑DeepLab V3+时遇到ResourceExhaustedError (see above for traceback): OOM when allocating tensor of shape错误

GPU：1060/6G

github：https://github.com/tensorflow/models/tree/master/research/deeplab

是显存不够了，把local_test.sh文件中

python "${WORK_DIR}"/train.py \

--logtostderr \

--train_split="trainval" \

--model_variant="xception_65" \

--atrous_rates=6 \

--atrous_rates=12 \

--atrous_rates=18 \

--output_stride=16 \

--decoder_output_stride=4 \

--train_crop_size=513 \

--train_crop_size=513 \

--train_batch_size=4 \

--training_number_of_steps="${NUM_ITERATIONS}" \

--fine_tune_batch_norm=true \  <==============改这行

--tf_initial_checkpoint="${INIT_FOLDER}/deeplabv3_pascal_train_aug/model.ckpt" \

--train_logdir="${TRAIN_LOGDIR}" \

--dataset_dir="${PASCAL_DATASET}"

改为

python "${WORK_DIR}"/train.py \

--logtostderr \

--train_split="trainval" \

--model_variant="xception_65" \

--atrous_rates=6 \

--atrous_rates=12 \

--atrous_rates=18 \

--output_stride=16 \

--decoder_output_stride=4 \

--train_crop_size=513 \

--train_crop_size=513 \

--train_batch_size=1 \

--training_number_of_steps="${NUM_ITERATIONS}" \

--fine_tune_batch_norm=false \

--tf_initial_checkpoint="${INIT_FOLDER}/deeplabv3_pascal_train_aug/model.ckpt" \

--train_logdir="${TRAIN_LOGDIR}" \

--dataset_dir="${PASCAL_DATASET}"

之后正常训练