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Which parameters to reduce to avoid ResourceExhaustedError #3
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Changing parameters (besides batch size) won't help your case that much if you're using pretrained models. The model |
Same problem occurring again, even with SSD_MobileNet :/
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Oh alright. You can try using Google Colab to train them then. You can fit FasterRCNN+ResNet-50 (and other models with similar param count) over there. |
Hello, I try to train the faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28 model by launching the train.py script on it, but I get the following ResourceExhaustedError. Do you have any idea on how to solve it ? I tried to change many parameters in pipeline.config, but It doesn't change anything
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