Difference between pretrain_model_file VS pretrain_model_path in the spec files?

What is the difference between pretrain_model_file VS pretrain_model_path in the spec files?

Which network did you talk about?

hdf5 detectnet and also .tlt custom. I have observed that _path works with .tlt but not _file.

Do you talk about TLT detectnet_v2 network? If not, is it Faster_rcnn , SSD , or others?

detectnet_v2 network

In detectnet_v2 network, please see DetectNet_v2 — Transfer Learning Toolkit 3.0 documentation
there is only “pretrained_model_file”.

Usually you can set similar to below.

model_config {
pretrained_model_file: “/workspace/tlt-experiments/detectnet_v2/pretrained_resnet18/tlt_pretrained_detectnet_v2_vresnet18/resnet18.hdf5”

You can download jupyter notebook for reference. There are spec files in each network.

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