How to predict from model_search saved_model.pb

[jayarams79]

Hi,
I have tried simple classification dataset "German credit data" to make predictions.
I load the model_search saved_model.pb model.
importedModel = tf.saved_model.load(saved_model_dir)

But, when I try to predict or make summary() from the model ,I get the following error,

AttributeError: 'AutoTrackable' object has no attribute 'summary'

When I print print (gs_model.signatures), I got "['serving_default']".

How can I predict, get metrics like f1_score, accuracy, R2,etc from the model.

Is it possible to store the model_search model as tenorflow v2 compatible in oss_trainer_lib.py instead of "estimator"model.

Pls suggest on this.
I am using tensorflow 2.4.0
How can I make the model to work like keras model.

Thanks,
SJRam

[CyFeng16]

*.pd -> *.onnx -> WYW
I hope it work for you guy's too.

[jayarams79]

*.pd -> *.onnx -> WYW
I hope it work for you guy's too.

Hi,
is it mean that I need to convert .pb file to onnx and then to WYW.
What is the mean for "WYW".
Any link for solution of same issue.

[CyFeng16]

Hi dude, WYW stands for whatever you want, so sorry for the confusing abbreviation. ONNX is widely supported <http://onnx.ai/supported-tools> and can be found in many frameworks, tools, and hardware. ref [onnx](https://github.com/onnx/onnx) and [onnxruntime]( https://github.com/microsoft/onnxruntime) jayarams79 ***@***.***> 于2021年5月17日周一 下午8:26写道：

…

*.pd -> *.onnx -> WYW I hope it work for you guy's too. Hi, is it mean that I need to convert .pb file to onnx and then to WYW. What is the mean for "WYW". Any link for solution of same issue. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#58 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AHDIKHNIOQAWQXNBY52WJG3TOEDQ5ANCNFSM45AFR3YA> .