Calculating F1 score, precision, recall in tfhub retraining script

I am using tensorflow hub for image retraining classification task. The tensorflow script retrain.py by default calculates cross_entropy and accuracy.

train_accuracy, cross_entropy_value = sess.run([evaluation_step, cross_entropy],feed_dict={bottleneck_input: train_bottlenecks, ground_truth_input: train_ground_truth})

I would like to get F1 score, precision, recall and confusion matrix. How could I get these values using this script ?

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