Remove train.LooperThread from TF 2.0 API.

PiperOrigin-RevId: 222894257

tensorflow/python/training/coordinator.py

@@ -408,7 +408,7 @@ class Coordinator(object):
 
 
 # Threads for the standard services.
-@tf_export("train.LooperThread")
+@tf_export(v1=["train.LooperThread"])
 class LooperThread(threading.Thread):
   """A thread that runs code repeatedly, optionally on a timer.
 

tensorflow/tools/api/golden/v2/tensorflow.train.-looper-thread.pbtxt

@@ -1,73 +0,0 @@
-path: "tensorflow.train.LooperThread"
-tf_class {
-  is_instance: "<class \'tensorflow.python.training.coordinator.LooperThread\'>"
-  is_instance: "<class \'threading.Thread\'>"
-  member {
-    name: "daemon"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "ident"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'coord\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
-  }
-  member_method {
-    name: "getName"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "isAlive"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "isDaemon"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "is_alive"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "join"
-    argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], "
-  }
-  member_method {
-    name: "loop"
-    argspec: "args=[\'coord\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
-  }
-  member_method {
-    name: "run"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "run_loop"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "setDaemon"
-    argspec: "args=[\'self\', \'daemonic\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "setName"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "start"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "start_loop"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "stop_loop"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.train.pbtxt

@@ -112,10 +112,6 @@ tf_module {
     name: "LoggingTensorHook"
     mtype: "<type \'type\'>"
   }
-  member {
-    name: "LooperThread"
-    mtype: "<type \'type\'>"
-  }
   member {
     name: "MomentumOptimizer"
     mtype: "<type \'type\'>"

tensorflow/tools/compatibility/renames_v2.py

@@ -549,6 +549,7 @@ renames = {
     'tf.to_int32': 'tf.compat.v1.to_int32',
     'tf.to_int64': 'tf.compat.v1.to_int64',
     'tf.trace': 'tf.linalg.trace',
+    'tf.train.LooperThread': 'tf.compat.v1.train.LooperThread',
     'tf.train.MonitoredTrainingSession': 'tf.compat.v1.train.MonitoredTrainingSession',
     'tf.train.NewCheckpointReader': 'tf.compat.v1.train.NewCheckpointReader',
     'tf.train.ProfilerHook': 'tf.compat.v1.train.ProfilerHook',