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I want to use ENAS arch to inference my own dataset, so I modified the original code to use placeholder input e.g)
loss, lr, gn, tr_acc, _ = sess.run(run_ops, feed_dict={child_ops["X"]:images["train"][i*batch:(i+1)*batch], child_ops["Y"]:labels["train"][i*batch:(i+1)*batch],
and naming the last output tensor like self.train_preds = tf.argmax(logits, axis=1, name="output")
self.train_preds = tf.argmax(logits, axis=1, name="output")
but restoring the checkpoint file with raw tf.Session(), it keeps throwing the same digits (MNIST)
any advice for this?? Thanks
The text was updated successfully, but these errors were encountered:
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I want to use ENAS arch to inference my own dataset, so I modified the original code to use placeholder input
e.g)
and naming the last output tensor like
self.train_preds = tf.argmax(logits, axis=1, name="output")
but restoring the checkpoint file with raw tf.Session(), it keeps throwing the same digits (MNIST)
any advice for this??
Thanks
The text was updated successfully, but these errors were encountered: