MNasNet-Keras-Tensorflow
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inference in eager mode
how to predict in inference with eager mode?
i find model file without .meta. so how to predict it?
and when i try to use "model(x, training=False)", i find the same result with different inputs.
tf.Tensor(
[[ 0.0113026 0.01824222 -0.04097308 ... -0.09739988 0.02242501
0.00669069]
[ 0.0113026 0.01824222 -0.04097308 ... -0.09739988 0.02242501
0.00669069]
[ 0.0113026 0.01824222 -0.04097308 ... -0.09739988 0.02242501
0.00669069]
...
[ 0.0113026 0.01824222 -0.04097308 ... -0.09739988 0.02242501
0.00669069]
[ 0.0113026 0.01824222 -0.04097308 ... -0.09739988 0.02242501
0.00669069]
[ 0.0113026 0.01824222 -0.04097308 ... -0.09739988 0.02242501
0.00669069]], shape=(128, 10), dtype=float32)