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"""Tests for tensorflow.ops.tf.gather."""
import tensorflow.python.platform
import numpy as np
import tensorflow as tf
class GatherTest(tf.test.TestCase):
def testScalar1D(self):
with self.test_session():
params = tf.constant([0, 1, 2, 3, 7, 5])
indices = tf.constant(4)
gather_t = tf.gather(params, indices)
gather_val = gather_t.eval()
self.assertAllEqual(7, gather_val)
self.assertEqual([], gather_t.get_shape())
def testScalar2D(self):
with self.test_session():
params = tf.constant([[0, 1, 2], [3, 4, 5], [6, 7, 8],
[9, 10, 11], [12, 13, 14]])
indices = tf.constant(2)
gather_t = tf.gather(params, indices)
gather_val = gather_t.eval()
self.assertAllEqual([6, 7, 8], gather_val)
self.assertEqual([3], gather_t.get_shape())
def testSimpleTwoD32(self):
with self.test_session():
params = tf.constant([[0, 1, 2], [3, 4, 5], [6, 7, 8],
[9, 10, 11], [12, 13, 14]])
indices = tf.constant([0, 4, 0, 2])
gather_t = tf.gather(params, indices)
gather_val = gather_t.eval()
self.assertAllEqual([[0, 1, 2], [12, 13, 14], [0, 1, 2], [6, 7, 8]],
gather_val)
self.assertEqual([4, 3], gather_t.get_shape())
def testHigherRank(self):
np.random.seed(1)
shape = (4, 3, 2)
params = np.random.randn(*shape)
indices = np.random.randint(shape[0], size=15).reshape(3, 5)
with self.test_session():
tf_params = tf.constant(params)
tf_indices = tf.constant(indices)
gather = tf.gather(tf_params, tf_indices)
self.assertAllEqual(params[indices], gather.eval())
self.assertEqual(indices.shape + params.shape[1:], gather.get_shape())
# Test gradients
gather_grad = np.random.randn(*gather.get_shape().as_list())
params_grad, indices_grad = tf.gradients(gather, [tf_params, tf_indices],
gather_grad)
self.assertEqual(indices_grad, None)
self.assertEqual(type(params_grad), tf.IndexedSlices)
params_grad = tf.convert_to_tensor(params_grad)
correct_params_grad = np.zeros(shape)
for i, g in zip(indices.ravel(), gather_grad.reshape((15,) + shape[1:])):
correct_params_grad[i] += g
self.assertAllEqual(correct_params_grad, params_grad.eval())
def testUnknownIndices(self):
params = tf.constant([[0, 1, 2]])
indices = tf.placeholder(tf.int32)
gather_t = tf.gather(params, indices)
self.assertEqual(None, gather_t.get_shape())
if __name__ == "__main__":
tf.test.main()
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