Remove @test_util.run_deprecated_v1 in reshape_op_test.py
PiperOrigin-RevId: 324090913 Change-Id: If8105bddba9b3857a53b8288aa3d1b6ae1a55419
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@ -26,7 +26,7 @@ from tensorflow.python.framework import ops
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from tensorflow.python.framework import tensor_shape
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import gradient_checker
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from tensorflow.python.ops import gradient_checker_v2
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from tensorflow.python.platform import test
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@ -118,17 +118,15 @@ class ReshapeTest(test.TestCase):
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# TODO(vrv): Add tests for failure conditions once python test_util
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# reports errors.
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@test_util.run_deprecated_v1
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def testFloatReshapeGradThreeDimensions(self):
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x = np.arange(1., 25.).reshape([2, 3, 4]).astype(np.float32)
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s = list(np.shape(x))
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with self.cached_session():
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input_tensor = constant_op.constant(x)
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reshape_out = array_ops.reshape(input_tensor, [1, 8, 3])
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err = gradient_checker.compute_gradient_error(
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input_tensor, s, reshape_out, s, x_init_value=x)
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print("Reshape gradient error = " % err)
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self.assertLess(err, 1e-3)
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def reshape(x):
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return array_ops.reshape(x, [1, 8, 3])
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with self.cached_session():
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gradient_checker_v2.compute_gradient(reshape, [input_tensor], 1e-3)
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def testFloatEmpty(self):
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x = np.empty((0, 0, 0, 0), dtype=np.float32)
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@ -157,8 +155,10 @@ class ReshapeTest(test.TestCase):
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"Cannot reshape a tensor with 4096 elements"):
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array_ops.reshape(z, [4095])
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@test_util.run_deprecated_v1
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def testPartialShapes(self):
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# Testing unknown shapes in graph building.
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with ops.Graph().as_default():
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x = array_ops.placeholder(dtypes.float32)
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# Unknown input shape, partial new shape.
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