Changed comments to docstrings where necessary in theano/gpuarray/tests

theano/gpuarray/tests/rnn_support.py

@@ -26,7 +26,7 @@ class Model(object):
 
 
 def uniform(stdev, size):
-    # uniform distribution with the given stdev and size
+    """uniform distribution with the given stdev and size"""
     return np.random.uniform(
         low=-stdev * np.sqrt(3),
         high=stdev * np.sqrt(3),
@@ -36,7 +36,7 @@ def uniform(stdev, size):
 
 def linear_transform_weights(input_dim, output_dim,
                              param_list=None, name=""):
-    # theano shared variable given input and output dimension
+    "theano shared variable given input and output dimension"
     weight_inialization = uniform(np.sqrt(2.0 / input_dim),
                                   (input_dim, output_dim))
     W = theano.shared(weight_inialization, name=name)

theano/gpuarray/tests/test_cgpukernelbase.py

@@ -15,8 +15,10 @@ from ..type import GpuArrayType, get_context, gpu_context_type
 # This is an implementation to test that CGpuKernelBase works and also
 # to use as an example in the docs.  It is not used for user graphs.
 class GpuEye(CGpuKernelBase, Op):
-    # Eye for GPU.
+    """
+    Eye for GPU.
 
+    """
     __props__ = ('dtype', 'context_name')
     params_type = ParamsType(typecode=int_t, context=gpu_context_type)
 

theano/gpuarray/tests/test_ctc.py

@@ -77,8 +77,9 @@ class TestCTC(unittest.TestCase):
         utt.assert_allclose(cpu_cost, cost_from_gpu)
 
     def check_grads_disabled(self, activations, labels, input_length):
-        # Check if optimization to disable gradients is working
-
+        """
+        Check if optimization to disable gradients is working
+        """
         gpu_ctc_cost = gpu_ctc(activations, labels, input_length)
         gpu_ctc_function = theano.function([], [gpu_ctc_cost])
         for node in gpu_ctc_function.maker.fgraph.apply_nodes:

theano/gpuarray/tests/test_pickle.py

-# Some pickle test when pygpu isn't there. The test when pygpu is
-# available are in test_type.py.
-#
-# This is needed as we skip all the test file when pygpu isn't there in
-# regular test file.
+"""
+Some pickle test when pygpu isn't there. The test when pygpu is
+available are in test_type.py.
 
+This is needed as we skip all the test file when pygpu isn't there in
+regular test file.
+"""
 from __future__ import absolute_import, print_function, division
 import os
 import sys