Fix: in Setup.py

Author: abilng

setup.py

@@ -75,8 +75,6 @@ def _minimal_ext_cmd(cmd):
 
 def get_version_info():
     # Adding the git rev number needs to be done inside
-    # write_version_py(), otherwise the import of scipy.version messes
-    # up the build under Python 3.
     FULLVERSION = VERSION
     if os.path.exists('.git'):
         GIT_REVISION = git_version()
@@ -91,7 +89,7 @@ def get_version_info():
 
 def write_version_py(filename='src/pythonDnn/version.py'):
     cnt = """
-# THIS FILE IS GENERATED FROM SCIPY SETUP.PY
+# THIS FILE IS GENERATED FROM SETUP.PY
 short_version = '%(version)s'
 version = '%(version)s'
 full_version = '%(full_version)s'
@@ -120,23 +118,23 @@ def write_version_py(filename='src/pythonDnn/version.py'):
         import theano
         requires=[]
     except ImportError:
-        requires=['theano>=0.7.0']
+    	requires=['theano>=0.7.0']
 
     metadata = dict(
         name = 'pythonDnn',
-        maintainer = "pythonDnn",
-        maintainer_email = "pythonDnn@ex.org",
+        maintainer = "Abil N George,Sudharshan GK",
+        maintainer_email = "mail@abilng.in,sudharpun90@gmail.com",
         description = DOCLINES[0],
         long_description = "\n".join(DOCLINES[2:]),
         url = "https://github.com/IITM-DONLAB/python-dnn",
         download_url = "https://github.com/IITM-DONLAB/python-dnn/zipball/master",
         license = 'Apache v2.0 License',
         packages = [ 
-        	'pythonDnn.io_modules', 'pythonDnn.layers', 'pythonDnn.models',
+        	'pythonDnn','pythonDnn.io_modules', 'pythonDnn.layers', 'pythonDnn.models',
         	'pythonDnn.run', 'pythonDnn.utils'],
-        package_dir = {'': 'src'},
+        package_dir = {'pythonDnn': 'src/pythonDnn'},
         install_requires = requires,
-        zip_safe=False,
+        zip_safe=True,
         cmdclass={'clean': CleanCommand,},
     )
     FULLVERSION, GIT_REVISION = get_version_info()

src/pythonDnn/io_modules/file_reader.py

@@ -283,7 +283,7 @@ def read_next_partition_data(self,already_read=0,pad_zeros=False,makeShared=True
 		#self.feat=[]
 		fvalues = []
 		cur_frame_num = 0
-		while  cur_frame_num < self.frames_per_partition-already_read:
+		while ((cur_frame_num < self.frames_per_partition-already_read) or self.frames_per_partition==float('inf')):
 			values = self.filehandle.readline().split()
 			if values.__len__()==0: #No more values available in the data file
 				break;
@@ -387,7 +387,7 @@ def read_next_partition_data(self,already_read=0,pad_zeros=False,makeShared=True
 		cur_frame_num = 0
 		feat = []
 		label = []
-		while cur_frame_num < self.frames_per_partition-already_read :
+		while ((cur_frame_num < self.frames_per_partition-already_read) or self.frames_per_partition==float('inf')):
 
 			if not self.filehandles[self.last_class_idx].finished:
 				#if TD is  not finshed.

src/pythonDnn/layers/pool.py

@@ -1,24 +1,25 @@
 import theano.tensor as T
 from util.max_pool import max_pool_3d
-
+	
 class PoolLayer(object):
-""" Subsampling and pooling layer """
-def __init__(self, input, pool_shape, method="max"):
-	"""
-	method: "max", "avg", "L2", "L4", ...
-	"""
-	#self.__dict__.update(locals())
-	#del self.self
-	if len(pool_shape) == 0:
-		self.output=input;
-		return
-	if method=="max":
-		if len(pool_shape) == 3:
-			max_pool = max_pool_3d;
+	""" Subsampling and pooling layer """
+	def __init__(self, input, pool_shape, method="max"):
+		"""
+		method: "max", "avg", "L2", "L4", ...
+		"""
+		#self.__dict__.update(locals())
+		#del self.self
+		if len(pool_shape) == 0:
+			self.output=input;
+			return
+		if method=="max":
+			if len(pool_shape) == 3:
+				max_pool = max_pool_3d;
+			else:
+				from theano.tensor.signal import downsample
+				max_pool = downsample.max_pool_2d
+			out = max_pool(input=input,ds=pool_shape,ignore_border=True)
 		else:
-			from theano.tensor.signal import downsample
-			max_pool = downsample.max_pool_2d
-		out = max_pool(input=input,ds=pool_shape,ignore_border=True)
-	else:
-		raise NotImplementedError()
-	self.output = out
+			raise NotImplementedError()
+		self.output = out
+