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Made prediction.py compatible with TensorFlow 2.0 and 1.0 #11

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Made prediction.py compatible with TensorFlow 2.0 and 1.0 #11

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8 changes: 4 additions & 4 deletions prediction.py
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Original file line number Diff line number Diff line change
Expand Up @@ -77,15 +77,15 @@ def get_prediction(smg, sml, indexes, bls, blhs, dis, dps, dphs, model_name):
w = [0.86, 0.8, 0.06]
for i in range(1, 4):
try:
model = tf.train.import_meta_graph(
model = tf.compat.v1.train.import_meta_graph(
model_name + '_v' + str(i) + '/model.ckpt.meta')
except BaseException:
print("Something wrong with the model.")
continue
with tf.Session() as sess:
with tf.compat.v1.Session() as sess:
try:
model.restore(sess, model_name + '_v' + str(i) + "/model.ckpt")
graph = tf.get_default_graph()
graph = tf.compat.v1.get_default_graph()
synmgt, synmlt, blst, \
blhst, dpst, dphst, \
dist, lrt, yt = graph.get_collection("input_nodes")
Expand Down Expand Up @@ -114,7 +114,7 @@ def get_prediction(smg, sml, indexes, bls, blhs, dis, dps, dphs, model_name):
preds_t_2 = sess.run([predictions], feed_dict=fd)
preds_t_2 = np.array(preds_t_2)[0]
preds = preds + w[i - 1] * (preds_t_1 + preds_t_2) / 2
tf.reset_default_graph()
tf.compat.v1.reset_default_graph()
preds = np.argmax(preds, axis=1)
print(preds.shape)
return preds
Expand Down