Remove @test_util.run_deprecated_v1 in sparse_tensor_test.py
PiperOrigin-RevId: 324159678 Change-Id: Ica9c8b2c05894c997695d129f723c0b76a60ec97
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@ -53,15 +53,14 @@ class SparseTensorTest(test_util.TensorFlowTestCase):
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self.assertEqual(sp.dense_shape.dtype, dtypes.int64)
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self.assertEqual(sp.get_shape(), (4, 5))
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with self.cached_session() as sess:
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value = self.evaluate(sp)
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self.assertAllEqual(indices, value.indices)
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self.assertAllEqual(values, value.values)
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self.assertAllEqual(shape, value.dense_shape)
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sess_run_value = self.evaluate(sp)
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self.assertAllEqual(sess_run_value.indices, value.indices)
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self.assertAllEqual(sess_run_value.values, value.values)
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self.assertAllEqual(sess_run_value.dense_shape, value.dense_shape)
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value = self.evaluate(sp)
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self.assertAllEqual(indices, value.indices)
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self.assertAllEqual(values, value.values)
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self.assertAllEqual(shape, value.dense_shape)
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sp_value = self.evaluate(sp)
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self.assertAllEqual(sp_value.indices, value.indices)
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self.assertAllEqual(sp_value.values, value.values)
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self.assertAllEqual(sp_value.dense_shape, value.dense_shape)
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def testShape(self):
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@ -114,29 +113,27 @@ class SparseTensorTest(test_util.TensorFlowTestCase):
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class ConvertToTensorOrSparseTensorTest(test_util.TensorFlowTestCase):
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def test_convert_dense(self):
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with self.cached_session():
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value = [42, 43]
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from_value = sparse_tensor.convert_to_tensor_or_sparse_tensor(
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value)
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self.assertAllEqual(value, self.evaluate(from_value))
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value = [42, 43]
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from_value = sparse_tensor.convert_to_tensor_or_sparse_tensor(
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value)
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self.assertAllEqual(value, self.evaluate(from_value))
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@test_util.run_deprecated_v1
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def test_convert_sparse(self):
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with self.cached_session():
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indices = [[0, 1], [1, 0]]
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values = [42, 43]
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shape = [2, 2]
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sparse_tensor_value = sparse_tensor.SparseTensorValue(
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indices, values, shape)
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st = sparse_tensor.SparseTensor.from_value(sparse_tensor_value)
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from_value = sparse_tensor.convert_to_tensor_or_sparse_tensor(
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sparse_tensor_value).eval()
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from_tensor = sparse_tensor.convert_to_tensor_or_sparse_tensor(st).eval()
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for convertee in [from_value, from_tensor]:
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self.assertAllEqual(sparse_tensor_value.indices, convertee.indices)
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self.assertAllEqual(sparse_tensor_value.values, convertee.values)
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self.assertAllEqual(
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sparse_tensor_value.dense_shape, convertee.dense_shape)
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indices = [[0, 1], [1, 0]]
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values = [42, 43]
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shape = [2, 2]
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sparse_tensor_value = sparse_tensor.SparseTensorValue(
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indices, values, shape)
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st = sparse_tensor.SparseTensor.from_value(sparse_tensor_value)
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from_value = self.evaluate(
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sparse_tensor.convert_to_tensor_or_sparse_tensor(sparse_tensor_value))
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from_tensor = self.evaluate(
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sparse_tensor.convert_to_tensor_or_sparse_tensor(st))
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for convertee in [from_value, from_tensor]:
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self.assertAllEqual(sparse_tensor_value.indices, convertee.indices)
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self.assertAllEqual(sparse_tensor_value.values, convertee.values)
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self.assertAllEqual(
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sparse_tensor_value.dense_shape, convertee.dense_shape)
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class SparseTensorShapeTest(test_util.TensorFlowTestCase):
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