Using TF.slim
and the pre-trained checkpoints I can evaluate the performance of a model. Also, using exporting inference graph I can freeze the model including its weights. However, I would like to find a way to export .meta file of a model as well. How can I do that using only the given the .ckpt file? Say on the inception_v3 case.
I guess something has to be changed in the export_inference_graph.py file to have this feature as an option.
@sguada Can you comment on this feature request?
@sguada, on the tf.slim
models webpage, there are pre-trained models ready to use for training/evaluations. These files are the old .ckpt
format, they lack the .meta
and .index
files (architecture of the model also referred to as .pbtxt
). Although, using the provided python scripts on that page, one can directly perform training, evaluation, fine-tuning, and freezing, but the python script of each model is needed to manually construct the graph nodes if one is interested in looking at the weights as-is (without finetuning). Constructing the whole model on the newer version of TF requires 3 files: .meta
, .index
, and .data
and I did not find any straight path to generate those (expect finetuning) to generate those three.
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Most helpful comment
@sguada, on the
tf.slim
models webpage, there are pre-trained models ready to use for training/evaluations. These files are the old.ckpt
format, they lack the.meta
and.index
files (architecture of the model also referred to as.pbtxt
). Although, using the provided python scripts on that page, one can directly perform training, evaluation, fine-tuning, and freezing, but the python script of each model is needed to manually construct the graph nodes if one is interested in looking at the weights as-is (without finetuning). Constructing the whole model on the newer version of TF requires 3 files:.meta
,.index
, and.data
and I did not find any straight path to generate those (expect finetuning) to generate those three.