diff options
| author |  Alexandre Passos <apassos@google.com> | 2018-09-27 13:18:33 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-27 13:23:04 -0700 |
| commit | 4cedc8b6e738b7a188c9c091cf667bacafae44b7 (patch) | |
| tree | 56de35940e5f9daedd5f39a82d2cd90cf374e4e4 /tensorflow/contrib/linear_optimizer | |
| parent | c898e63d07fc63315be98f0772736e5d7f2fb44c (diff) | |
Updating the V2 variables API.
PiperOrigin-RevId: 214824023
Diffstat (limited to 'tensorflow/contrib/linear_optimizer')
| -rw-r--r-- | tensorflow/contrib/linear_optimizer/python/kernel_tests/sdca_ops_test.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/contrib/linear_optimizer/python/kernel_tests/sdca_ops_test.py b/tensorflow/contrib/linear_optimizer/python/kernel_tests/sdca_ops_test.py index 9ecf023e03..8466dc36d1 100644 --- a/tensorflow/contrib/linear_optimizer/python/kernel_tests/sdca_ops_test.py +++ b/tensorflow/contrib/linear_optimizer/python/kernel_tests/sdca_ops_test.py @@ -125,7 +125,7 @@ def make_random_examples_and_variables_dicts(num_examples, dim, num_non_zero): ], example_ids=[str(i) for i in range(num_examples)]) - weights = variables_lib.Variable( + weights = variables_lib.VariableV1( array_ops.zeros([dim], dtype=dtypes.float32)) variables_dict = dict( sparse_features_weights=[weights], @@ -184,7 +184,7 @@ def make_dense_examples_and_variables_dicts(dense_features_values, weights, dense_tensors.append(dense_tensor) # Add variables of shape [feature_column_dimension]. dense_weights.append( - variables_lib.Variable( + variables_lib.VariableV1( array_ops.zeros( [dense_tensor.get_shape().as_list()[1]], dtype=dtypes.float32))) @@ -341,7 +341,7 @@ class SdcaWithLogisticLossTest(SdcaModelTest): examples = make_example_dict(example_protos, example_weights) # Explicitly make age a [1]-shaped Variable (which cannot be # partitioned), while making gender a PartitionedVariable. - age_weights = variables_lib.Variable( + age_weights = variables_lib.VariableV1( array_ops.zeros([1], dtype=dtypes.float32)) with variable_scope.variable_scope( name_or_scope=('variables/shard_{}'.format(num_shards) @@ -801,7 +801,7 @@ class SdcaWithLogisticLossTest(SdcaModelTest): labels=[1.0, 0.0]) # Replace with a variable of size 1 instead of 2. variables['dense_features_weights'] = [ - variables_lib.Variable(array_ops.zeros( + variables_lib.VariableV1(array_ops.zeros( [1], dtype=dtypes.float32)) ] options = dict( |