Confused about manifest.yml about ffdl HOT 2 CLOSED

@Tomcli Another question: when I use my own image and data (using host-mount) for caffe training, I find it spends a long time for just 100 iters, from the log I find it spends most time on data Transform、Prefetch batch, etc. I don't know how it works? Also, I can't find the caffe model it saved, I just set 'snapshot_prefix: "./lenet"', I don't know which path I should set, can you tell me where the caffe model is? Thank you.
caffe gpu-manifest.yml:

caffe training logs:

from ffdl.

@Tomcli I find when I use s3 storage or host mount for caffe training, I can not find where caffe model is.

1. s3 storage:
   
2. host mount:
   

But when I use s3 storage or host mount for tensorflow training, I can find tf model in 's3://tf_trained_model' or in '/home/mount_test/tf-train/result/model' (host mount).

1. s3 storage:
   
2. host mount:
   

Can you tell me where caffe model is saved? Thank you.

from ffdl.