fix import since move of *subtensor*

theano/ifelse.py

@@ -437,8 +437,8 @@ acceptable_ops = (theano.tensor.basic.Dot,
                   theano.tensor.basic.Shape,
                   theano.tensor.basic.SpecifyShape,
                   theano.tensor.basic.MaxAndArgmax,
-                  theano.tensor.basic.Subtensor,
-                  theano.tensor.basic.IncSubtensor,
+                  theano.tensor.Subtensor,
+                  theano.tensor.IncSubtensor,
                   theano.tensor.basic.Rebroadcast,
                   theano.tensor.basic.Alloc,
                   theano.tensor.elemwise.Elemwise,

theano/scan_module/scan_opt.py

@@ -691,7 +691,7 @@ class ScanSaveMem(gof.Optimizer):
                     break
                 # 2.2 non-subtensor nodes
                 #=> output needs all its intermediate values
-                elif not isinstance(cl.op, tensor.basic.Subtensor):
+                elif not isinstance(cl.op, tensor.Subtensor):
                     global_nsteps = None
                     slices[i] = None
                     break
@@ -699,7 +699,7 @@ class ScanSaveMem(gof.Optimizer):
                 #=> output might need to store just a subset of its values
                 else:
                     # 2.3.1 extract idx list of subtensor
-                    this_slice = tensor.basic.get_idx_list(cl.inputs,
+                    this_slice = tensor.get_idx_list(cl.inputs,
                                                      cl.op.idx_list)
                     if this_slice is None:
                         # if unable to extract idx_list
@@ -719,7 +719,7 @@ class ScanSaveMem(gof.Optimizer):
                             length = shape_of[out][0]
                         except KeyError:
                             length = out.shape[0]
-                    cf_slice = tensor.basic.get_canonical_form_slice(
+                    cf_slice = tensor.get_canonical_form_slice(
                                                     this_slice[0], length)
                     slices[i] += [(cf_slice, this_slice)]
 
@@ -795,11 +795,11 @@ class ScanSaveMem(gof.Optimizer):
                 if type(cl) == str:
                     store_steps[i] = 0
                     break
-                elif not isinstance(cl.op, tensor.basic.Subtensor):
+                elif not isinstance(cl.op, tensor.Subtensor):
                     store_steps[i] = 0
                     break
                 else:
-                    this_slice = tensor.basic.get_idx_list(cl.inputs,
+                    this_slice = tensor.get_idx_list(cl.inputs,
                                                      cl.op.idx_list)
                     if this_slice is None:
                         store_steps[i] = 0
@@ -817,7 +817,7 @@ class ScanSaveMem(gof.Optimizer):
                             length = shape_of[out][0]
                         except KeyError:
                             length = out.shape[0]
-                    cf_slice = tensor.basic.get_canonical_form_slice(
+                    cf_slice = tensor.get_canonical_form_slice(
                         this_slice[0], length)
 
                     if isinstance(cf_slice[0], slice):
@@ -973,9 +973,9 @@ class ScanSaveMem(gof.Optimizer):
                         nw_slice = (fslice,) + tuple(old_slices[1:])
                         nw_pos = inv_compress_map[idx]
 
-                        subtens = tensor.basic.Subtensor(nw_slice)
+                        subtens = tensor.Subtensor(nw_slice)
                         # slice inputs
-                        sl_ins = tensor.basic.Subtensor.collapse(
+                        sl_ins = tensor.Subtensor.collapse(
                             nw_slice,
                             lambda entry: isinstance(entry,
                                                     tensor.Variable))
@@ -1014,8 +1014,8 @@ class ScanSaveMem(gof.Optimizer):
                             nw_slice = (sanitize(position),) + \
                                     tuple(old_slices[1:])
 
-                        subtens = tensor.basic.Subtensor(nw_slice)
-                        sl_ins = tensor.basic.Subtensor.collapse(
+                        subtens = tensor.Subtensor(nw_slice)
+                        sl_ins = tensor.Subtensor.collapse(
                             nw_slice,
                             lambda entry: isinstance(entry,
                                                      tensor.Variable))

theano/tensor/tests/test_opt.py

@@ -2034,7 +2034,7 @@ class test_local_subtensor_merge(unittest.TestCase):
         val = fun(data)
         assert numpy.all(val == data[3:6, 2:6, 1:7][1])
         assert len([n for n in fun.maker.fgraph.toposort()
-                    if isinstance(n.op, tensor.basic.Subtensor)]) == nops
+                    if isinstance(n.op, Subtensor)]) == nops
 
         # test 2)
         y = x[2, 3][1]
@@ -2042,7 +2042,7 @@ class test_local_subtensor_merge(unittest.TestCase):
         val = fun(data)
         assert numpy.all(val == data[2, 3][1])
         assert len([n for n in fun.maker.fgraph.toposort()
-                    if isinstance(n.op, tensor.basic.Subtensor)]) == nops
+                    if isinstance(n.op, Subtensor)]) == nops
 
         # test 3)
         y = x[3:6, 2, 1:7][1]
@@ -2050,7 +2050,7 @@ class test_local_subtensor_merge(unittest.TestCase):
         val = fun(data)
         assert numpy.all(val == data[3:6, 2, 1:7][1])
         assert len([n for n in fun.maker.fgraph.toposort()
-                    if isinstance(n.op, tensor.basic.Subtensor)]) == nops
+                    if isinstance(n.op, Subtensor)]) == nops
 
     def test_scalar6(self):
         # General case with one slice and one index

theano/tensor/type.py

+import logging
+_logger = logging.getLogger("theano.tensor.type")
+
 import numpy
 
 import theano