def test_log_sum_exp(self):
with self.test_session(use_gpu=True) as sess:
a = np.array([[[1., 3., 0.2], [0.7, 2., 1e-6]],
[[0., 1e6, 1.], [1., 1., 1.]]])
for keepdims in [True, False]:
true_values = misc.logsumexp(a, (0, 2), keepdims=keepdims)
test_values = sess.run(log_sum_exp(
tf.constant(a), (0, 2), keepdims))
self.assertAllClose(test_values, true_values)
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