TypeError: Fetch argument has invalid type float32, must be a string or Tensor

Question

I\'m training a CNN quite similar to the one in this example, for image segmentation. The images are 1500x1500x1, and labels are of the same size.

After defining the

Answer 1

Where you use loss = sess.run(loss), you redefine in python the variable loss.

The first time it will run fine. The second time, you will try to do:

sess.run(1.4415792e+2)

Because loss is now a float.

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You should use different names like:

loss_val, acc = sess.run([loss, accuracy], feed_dict={x: batch_x, y: batch_y, keep_prob: 1.})