Open DemO-O-On opened 4 months ago
Upd: resaved model in Google Colab using only CPU and tried to make prediction with it. Here's new error:
(tensor: shape=[3 32 3], dtype=TF_FLOAT, data=
[[[0.0123270601 0.355330735 0.547858953]
[0.000193346394 0.366971523 0.547208309]
[0.0271116234 0.350225359 0.546478629]
...
[0.119589187 0.348327279 0.536324918]
[0.0871538371 0.366260797 0.535787404]
[0.0218100566 0.398851484 0.535461068]]
[[0.173270345 0.320599109 0.53522557]
[0.058475405 0.380493224 0.5350824]
[0.221432179 0.282036275 0.535037518]
...
[0.236433044 0.289447248 0.529477835]
[0.720739186 0.13403447 0.52921474]
[0.0364344493 0.41110763 0.528939784]]
[[0.732707858 0.136695519 0.528835058]
[0.227762714 0.299189806 0.528707266]
[0.092518039 0.384792328 0.528624833]
...
[0.665200353 0.13419053 0.524711549]
[0.686733603 0.139694497 0.524705172]
[0.156475887 0.3657493 0.524685383]]])
terminate called after throwing an instance of 'std::runtime_error'
what(): Could not deduce type! type_name: St6vectorIN7cppflow6tensorESaIS1_EE
It appears after all operations inside of predict
Hello, I want to make prediction from this:
Here's what this code prints:
I loaded another model in this file before and made predictions but I don't understand how and why they can interract. Also I noticed I have maxpooling in this model in python but don't have it in c++. Here's code of model in python: