Model load issue 2

[taehoonlee]

Model load issue 2

[miha-skalic]

Adding with device helps in this case:

with tf.device('gpu:0'):
    inputs = tf.placeholder(tf.float32, [None, 224, 224, 3])
    outputs = tf.placeholder(tf.float32, [None, 50])
    model = nets.Inception4(inputs, is_training=True, classes=50)

however another error follows. It looks like the model wants to assign old FC-1000 to new FC-50.

ValueError: Dimension 1 in both shapes must be equal, but are 50 and 1000 for 'Assign_596' (op: 'Assign') with input shapes: [1536,50], [1536,1000].

[taehoonlee]

The first error raised because of attempts to restore all the global variables when weights for `tf.train.Optimizer` are additionally declared.
The second one caused by the size mismatch in the last layer.
Thank you for reporting the issue again @miha-skalic, please see the updates for the procedure of assigning weights!