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"""Tests for tensorflow.kernels.bcast_ops."""
import tensorflow.python.platform
import tensorflow as tf
from tensorflow.python.ops.gen_array_ops import _broadcast_gradient_args
class BcastOpsTest(tf.test.TestCase):
def _GetGradientArgs(self, xs, ys):
with self.test_session() as sess:
return sess.run(_broadcast_gradient_args(xs, ys))
def testBasic(self):
r0, r1 = self._GetGradientArgs([2, 3, 5], [1])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 1, 2])
r0, r1 = self._GetGradientArgs([1], [2, 3, 5])
self.assertAllEqual(r0, [0, 1, 2])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 3, 5], [5])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 1])
r0, r1 = self._GetGradientArgs([5], [2, 3, 5])
self.assertAllEqual(r0, [0, 1])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 3, 5], [3, 5])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0])
r0, r1 = self._GetGradientArgs([3, 5], [2, 3, 5])
self.assertAllEqual(r0, [0])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 3, 5], [3, 1])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 2])
r0, r1 = self._GetGradientArgs([3, 1], [2, 3, 5])
self.assertAllEqual(r0, [0, 2])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 1, 5], [3, 1])
self.assertAllEqual(r0, [1])
self.assertAllEqual(r1, [0, 2])
r0, r1 = self._GetGradientArgs([3, 1], [2, 1, 5])
self.assertAllEqual(r0, [0, 2])
self.assertAllEqual(r1, [1])
def testZeroDims(self):
r0, r1 = self._GetGradientArgs([2, 0, 3, 0, 5], [3, 0, 5])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 1])
r0, r1 = self._GetGradientArgs([3, 0, 5], [2, 0, 3, 0, 5])
self.assertAllEqual(r0, [0, 1])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 0, 3, 0, 5], [3, 1, 5])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 1, 3])
r0, r1 = self._GetGradientArgs([3, 1, 5], [2, 0, 3, 0, 5])
self.assertAllEqual(r0, [0, 1, 3])
self.assertAllEqual(r1, [])
if __name__ == "__main__":
tf.test.main()
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