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"""Tests for PrecisionOp."""
import tensorflow.python.platform
import numpy as np
import tensorflow as tf
class InTopKTest(tf.test.TestCase):
def _validateInTopK(self, predictions, target, k, expected):
np_ans = np.array(expected)
with self.test_session():
precision = tf.nn.in_top_k(predictions, target, k)
out = precision.eval()
self.assertAllClose(np_ans, out)
self.assertShapeEqual(np_ans, precision)
def testInTop1(self):
predictions = [[0.1, 0.3, 0.2, 0.4], [0.1, 0.2, 0.3, 0.4]]
target = [3, 1]
self._validateInTopK(predictions, target, 1, [True, False])
def testInTop2(self):
predictions = [[0.1, 0.3, 0.2, 0.4], [0.1, 0.2, 0.3, 0.4]]
target = [0, 2]
self._validateInTopK(predictions, target, 2, [False, True])
def testInTop2Tie(self):
# Class 2 and 3 tie for 2nd, so both are considered in top 2.
predictions = [[0.1, 0.3, 0.2, 0.2], [0.1, 0.3, 0.2, 0.2]]
target = [2, 3]
self._validateInTopK(predictions, target, 2, [True, True])
if __name__ == "__main__":
tf.test.main()
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