train_input_fn = tf.estimator.inputs.numpy_input_fn(
            x={"x": training_images},
            y={"labels1": training_labels1, "labels2": training_labels2},
            batch_size=BATCH_SIZE,
            num_epochs=None,
            shuffle=True)

my_cnn_model.train(input_fn=train_input_fn,steps=NUM_TRAINING_STEPS)

def build_cnn_model(features, labels, mode):

AttributeError: 'dict' object has no attribute 'shape'

def build_cnn_model(features, targets, mode):

ValueError: model_fn (<function build_cnn_model at 0x7f88df9c9d08>) has following not expected args: ['targets']