Print predicted tensor error - TypeError: '>' not supported between instances of 'int' and 'str'

[Noahyt]

I have trained a network that predicts 16 values (regression). The output should be a tensor which is (n,16) where n is the number of submitted examples. I have confirmed that the network is working as expected. However, I cannot directly print the values that the network predicts. The code I am running is:

generated_1 = model.predict(testing_x)

## error if print(generated_1)

generated_1 = np.array(generated_phase_1)

## error if print(generated_1)

print(generated_phase_1.shape)

## no error, correctly prints expected tensor shape

generated_1 = generated_1[0]

## error if print(generated_1)

The error that is generated is the same at all points I have marked in the above code:

"TypeError: '>' not supported between instances of 'int' and 'str'"

[Noahyt]

I solved my own problem. It also appears more general than I thought so I do not think that it is a tflearn bug, but actually something to do with numpy print options. Just in case anyone encounters a similar error, I commented out the following line and resolved the error

np.set_printoptions(threshold='nan')