Remove names in TODO.

compression/entropy_coder/core/code_loader.py

@@ -39,7 +39,7 @@ def LoadBinaryCode(input_config, batch_size):
   """
   data = input_config.data
 
-  # TODO(damienv): Possibly use multiple files (instead of just one).
+  # TODO: Possibly use multiple files (instead of just one).
   file_list = [data]
   filename_queue = tf.train.string_input_producer(file_list,
                                                   capacity=4)

compression/entropy_coder/lib/blocks_std.py

@@ -222,7 +222,6 @@ class NN(block_base.BlockBase):
       self._bias = BiasAdd(bias) if bias else PassThrough()
       self._act = act if act else PassThrough()
 
-  # TODO(sjhwang): Stop using **kwargs, if we ever switch to python3.
   def _Apply(self, *args):
     if not self._matrices:
       self._matrices = [

compression/entropy_coder/lib/blocks_std_test.py

@@ -136,7 +136,6 @@ class BlocksStdTest(tf.test.TestCase):
   def testLinearShared(self):
     # Create a linear map which is applied twice on different inputs
     # (i.e. the weights of the map are shared).
-    # TODO(sjhwang): Make this test deterministic.
     linear_map = blocks_std.Linear(6)
     x1 = tf.random_normal(shape=[1, 5])
     x2 = tf.random_normal(shape=[1, 5])

compression/entropy_coder/model/entropy_coder_model.py

@@ -43,7 +43,7 @@ class EntropyCoderModel(object):
         corresponding to the codes to compress.
         The input codes are {-1, +1} codes.
     """
-    # TODO(damienv):
+    # TODO:
     # - consider switching to {0, 1} codes.
     # - consider passing an extra tensor which gives for each (b, y, x)
     #   what is the actual depth (which would allow to use more or less bits