API backwards compatibility tests.

Change: 152310869

1 files changed, 46 insertions, 0 deletions

diff --git a/tensorflow/tools/api/golden/tensorflow.train.-proximal-adagrad-optimizer.pbtxt b/tensorflow/tools/api/golden/tensorflow.train.-proximal-adagrad-optimizer.pbtxt
new file mode 100644
index 0000000000..571d846b6c
--- /dev/null
+++ b/tensorflow/tools/api/golden/tensorflow.train.-proximal-adagrad-optimizer.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.train.ProximalAdagradOptimizer"
+tf_class {
+  is_instance: "<class \'tensorflow.python.training.proximal_adagrad.ProximalAdagradOptimizer\'>"
+  is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+  is_instance: "<type \'object\'>"
+  member {
+    name: "GATE_GRAPH"
+    mtype: "<type \'int\'>"
+  }
+  member {
+    name: "GATE_NONE"
+    mtype: "<type \'int\'>"
+  }
+  member {
+    name: "GATE_OP"
+    mtype: "<type \'int\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'learning_rate\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'0.0\', \'0.0\', \'False\', \'ProximalAdagrad\'], "
+  }
+  member_method {
+    name: "apply_gradients"
+    argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "compute_gradients"
+    argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+  }
+  member_method {
+    name: "get_name"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_slot"
+    argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_slot_names"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "minimize"
+    argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+  }
+}