how to use model after trained in tensorflow (save/load graph)

Question

My tensorflow version is 0.11. I want to save a graph after training or save something else which tensorflow can load it.

I/ Using Exporting and Importing a Met

Answer 1

Your first solution (using the MetaGraph) almost works, but the error arises because you are feeding a batch of flattened MNIST training examples to a tf.placeholder() that expects a batch of MNIST training examples as a 4-D tensor with shape batch_size x height (= 28) x width (= 28) x channels (= 1). The easiest way to solve this is to reshape your input data. Instead of this statement:

print(i, np.mean(np.argmax(teY[test_indices], axis=1) ==
                 sess.run(predict_op, feed_dict={
                     "X:0": teX[test_indices],
                     "p_keep_conv:0": 1.0,
                     "p_keep_hidden:0": 1.0})))

...try the following statement, which reshapes your input data appropriately, instead:

print(i, np.mean(np.argmax(teY[test_indices], axis=1) ==
                 sess.run(predict_op, feed_dict={
                     "X:0": teX[test_indices].reshape(-1, 28, 28, 1),
                     "p_keep_conv:0": 1.0,
                     "p_keep_hidden:0": 1.0})))