diff options
Diffstat (limited to 'tensorflow/python/eager/backprop_test.py')
| -rw-r--r-- | tensorflow/python/eager/backprop_test.py | 12 |
1 files changed, 11 insertions, 1 deletions
diff --git a/tensorflow/python/eager/backprop_test.py b/tensorflow/python/eager/backprop_test.py index 32731747b7..7e5c9f3cb6 100644 --- a/tensorflow/python/eager/backprop_test.py +++ b/tensorflow/python/eager/backprop_test.py @@ -548,6 +548,17 @@ class BackpropTest(test.TestCase): grad = g.gradient(y, [x])[0] self.assertEqual(self.evaluate(grad), 6.0) + @test_util.assert_no_new_tensors + @test_util.run_in_graph_and_eager_modes + def testGadientTapeCalledOnConstantTarget(self): + with backprop.GradientTape() as g: + x = variables.Variable([3.0]) + y = variables.Variable([2.0]) + with self.assertRaisesRegexp( + ValueError, + 'GradientTape.gradient is not supported for variable targets.'): + g.gradient(x, y) + @test_util.run_in_graph_and_eager_modes def testGradientTapeWithCond(self): x = constant_op.constant(3.0) @@ -982,7 +993,6 @@ class BackpropTest(test.TestCase): self.assertIsNone(dy) self.assertEqual(self.evaluate(dz), 3.0) - @test_util.run_in_graph_and_eager_modes def testDifferentiatingScalarCache(self): # In the following test, if x2 = x1 (i.e the objects are the exact same), |