'move a file not used frequently under gof as it can be used by more type then tensor.'

theano/tensor/tsor_apply.py → theano/gof/apply_shape.py

 """Apply for use with Tensors that implements shape propagation via variable.tag.shape
+
+This is not used currently very used. It appear in some case, but I'm not sure it if work or if it is used by default.
+It could help the current system to make it detect problem earlier when contructing the graph instead of during optimization.
 """
 import sys
 from theano import gof
@@ -37,5 +40,3 @@ class Apply(gof.Apply):
 
         for o, oshp in zip(outputs, oshapes):
             o.tag.shape = oshp
-
-

theano/tensor/basic.py

@@ -13,7 +13,7 @@ import numpy, theano
 
 from theano import gof, shared
 from theano.gof import Variable, Op, Type, Constant,  Value
-from theano.tensor.tsor_apply import Apply
+from theano.gof.apply_shape import Apply
 
 from theano import gradient
 

theano/tensor/blas.py

@@ -14,7 +14,7 @@ import theano.scalar
 import basic as T
 
 
-from theano.tensor.tsor_apply import Apply
+from theano.gof.apply_shape import Apply
 
 #NB: this clobbers the builtin 'compile' symbol
 from theano import compile  #to register the optimizer built by this file

theano/tensor/nnet/conv.py

@@ -10,12 +10,14 @@ See especially conv2d().
 
 __docformat__ = "restructuredtext en"
 
-import sys, logging
+import logging
+
 import numpy
+
 import theano
 import theano.tensor as tensor
 from theano import gof, Op, tensor, config
-from theano.tensor.tsor_apply import Apply
+from theano.gof.apply_shape import Apply
 from theano.gof.python25 import any
 
 imported_scipy_signal = False

theano/tensor/nnet/nnet.py

@@ -7,12 +7,11 @@ import numpy
 
 import theano
 from theano import gof
-from theano import printing
 from theano.tensor import basic as tensor
 from theano.tensor import elemwise, dmatrix, fmatrix, dvector, fvector
 from theano.tensor import opt
 from theano.compile import optdb
-from theano.tensor.tsor_apply import Apply
+from theano.gof.apply_shape import Apply
 
 from theano.tensor.nnet.sigm import sigmoid, softplus