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"""Tests for tensorflow.ops.tf.scatter."""
import tensorflow.python.platform
import numpy as np
import tensorflow as tf
class ScatterTest(tf.test.TestCase):
def _VariableRankTest(self, np_scatter, tf_scatter):
np.random.seed(8)
with self.test_session():
for indices_shape in (), (2,), (2, 3), (2, 3, 4):
for extra_shape in (), (5,), (5, 6):
# Generate random indices with no duplicates for easy numpy comparison
size = np.prod(indices_shape, dtype=np.int32)
indices = np.arange(2 * size)
np.random.shuffle(indices)
indices = indices[:size].reshape(indices_shape)
updates = np.random.randn(*(indices_shape + extra_shape))
old = np.random.randn(*((2 * size,) + extra_shape))
# Scatter via numpy
new = old.copy()
np_scatter(new, indices, updates)
# Scatter via tensorflow
ref = tf.Variable(old)
ref.initializer.run()
tf_scatter(ref, indices, updates).eval()
# Compare
self.assertAllClose(ref.eval(), new)
def testVariableRankUpdate(self):
def update(ref, indices, updates):
ref[indices] = updates
self._VariableRankTest(update, tf.scatter_update)
def testVariableRankAdd(self):
def add(ref, indices, updates):
ref[indices] += updates
self._VariableRankTest(add, tf.scatter_add)
def testVariableRankSub(self):
def sub(ref, indices, updates):
ref[indices] -= updates
self._VariableRankTest(sub, tf.scatter_sub)
if __name__ == "__main__":
tf.test.main()
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