Automated rollback of change 152310869

Change: 152528732

1 files changed, 0 insertions, 46 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
deleted file mode 100644
index 571d846b6c..0000000000
--- a/tensorflow/tools/api/golden/tensorflow.train.-proximal-adagrad-optimizer.pbtxt
+++ /dev/null
@@ -1,46 +0,0 @@
-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\'], "
-  }
-}