Changed DimShuffle to InplaceDimShuffle in docs

doc/extending/graphstructures.txt

@@ -99,7 +99,7 @@ multiplication is done between the inputs:
 >>> y.owner.inputs[0]
 x
 >>> y.owner.inputs[1]
-DimShuffle{x,x}.0
+InplaceDimShuffle{x,x}.0
 
 Note that the second input is not 2 as we would have expected. This is
 because 2 was first :term:`broadcasted <broadcasting>` to a matrix of

doc/library/printing.txt

@@ -118,7 +118,7 @@ Elemwise{mul} [id A] ''
    |x [id E]
    |Elemwise{sub} [id I] ''
      |TensorConstant{2} [id F]
-     |DimShuffle{} [id J] ''
+     |InplaceDimShuffle{} [id J] ''
        |TensorConstant{1} [id K]
 
 >>> theano.printing.debugprint(gy, depth=2)  # doctest: +NORMALIZE_WHITESPACE

doc/library/tensor/basic.txt

@@ -615,13 +615,13 @@ dimensions, see :meth:`_tensor_py_operators.dimshuffle`.
 
     >>> tensor = theano.tensor.tensor3()
     >>> theano.tensor.shape_padaxis(tensor, axis=0)
-    DimShuffle{x,0,1,2}.0
+    InplaceDimShuffle{x,0,1,2}.0
     >>> theano.tensor.shape_padaxis(tensor, axis=1)
-    DimShuffle{0,x,1,2}.0
+    InplaceDimShuffle{0,x,1,2}.0
     >>> theano.tensor.shape_padaxis(tensor, axis=3)
-    DimShuffle{0,1,2,x}.0
+    InplaceDimShuffle{0,1,2,x}.0
     >>> theano.tensor.shape_padaxis(tensor, axis=-1)
-    DimShuffle{0,1,2,x}.0
+    InplaceDimShuffle{0,1,2,x}.0
 
 .. autofunction:: unbroadcast(x, *axes)
 

doc/tutorial/printing_drawing.txt

@@ -69,10 +69,10 @@ The pre-compilation graph:
 >>> theano.printing.debugprint(prediction) # doctest: +NORMALIZE_WHITESPACE, +ELLIPSIS
 Elemwise{gt,no_inplace} [id A] ''
  |Elemwise{true_div,no_inplace} [id B] ''
- | |DimShuffle{x} [id C] ''
+ | |InplaceDimShuffle{x} [id C] ''
  | | |TensorConstant{1} [id D]
  | |Elemwise{add,no_inplace} [id E] ''
- |   |DimShuffle{x} [id F] ''
+ |   |InplaceDimShuffle{x} [id F] ''
  |   | |TensorConstant{1} [id D]
  |   |Elemwise{exp,no_inplace} [id G] ''
  |     |Elemwise{sub,no_inplace} [id H] ''
@@ -80,9 +80,9 @@ Elemwise{gt,no_inplace} [id A] ''
  |       | |dot [id J] ''
  |       |   |x [id K]
  |       |   |w [id L]
- |       |DimShuffle{x} [id M] ''
+ |       |InplaceDimShuffle{x} [id M] ''
  |         |b [id N]
- |DimShuffle{x} [id O] ''
+ |InplaceDimShuffle{x} [id O] ''
    |TensorConstant{0.5} [id P]
 
 The post-compilation graph:

theano/tests/test_printing.py

@@ -321,10 +321,10 @@ def test_scan_debugprint1():
      | | | | | |Subtensor{int64} [id H] ''
      | | | | |   |Shape [id I] ''
      | | | | |   | |Rebroadcast{0} [id J] ''
-     | | | | |   |   |DimShuffle{x,0} [id K] ''
+     | | | | |   |   |InplaceDimShuffle{x,0} [id K] ''
      | | | | |   |     |Elemwise{second,no_inplace} [id L] ''
      | | | | |   |       |A [id M]
-     | | | | |   |       |DimShuffle{x} [id N] ''
+     | | | | |   |       |InplaceDimShuffle{x} [id N] ''
      | | | | |   |         |TensorConstant{1.0} [id O]
      | | | | |   |Constant{0} [id P]
      | | | | |Subtensor{int64} [id Q] ''
@@ -490,7 +490,7 @@ def test_scan_debugprint3():
 
     for{cpu,scan_fn} [id B] ''
      >Elemwise{mul,no_inplace} [id Y] ''
-     > |DimShuffle{x} [id Z] ''
+     > |InplaceDimShuffle{x} [id Z] ''
      > | |coefficients[t] [id BA] -> [id S]
      > |Elemwise{pow,no_inplace} [id BB] ''
      >   |Subtensor{int64} [id BC] ''
@@ -504,10 +504,10 @@ def test_scan_debugprint3():
      >   | | | | | | |Subtensor{int64} [id BJ] ''
      >   | | | | | |   |Shape [id BK] ''
      >   | | | | | |   | |Rebroadcast{0} [id BL] ''
-     >   | | | | | |   |   |DimShuffle{x,0} [id BM] ''
+     >   | | | | | |   |   |InplaceDimShuffle{x,0} [id BM] ''
      >   | | | | | |   |     |Elemwise{second,no_inplace} [id BN] ''
      >   | | | | | |   |       |A_copy [id BO] -> [id W]
-     >   | | | | | |   |       |DimShuffle{x} [id BP] ''
+     >   | | | | | |   |       |InplaceDimShuffle{x} [id BP] ''
      >   | | | | | |   |         |TensorConstant{1.0} [id BQ]
      >   | | | | | |   |Constant{0} [id BR]
      >   | | | | | |Subtensor{int64} [id BS] ''
@@ -520,7 +520,7 @@ def test_scan_debugprint3():
      >   | | | |A_copy [id BO] -> [id W]
      >   | | |Constant{1} [id BW]
      >   | |Constant{-1} [id BX]
-     >   |DimShuffle{x} [id BY] ''
+     >   |InplaceDimShuffle{x} [id BY] ''
      >     |<TensorType(int64, scalar)> [id BZ] -> [id U]
 
     for{cpu,scan_fn} [id BE] ''
@@ -636,10 +636,10 @@ def test_scan_debugprint5():
     | | | |   | | | |Subtensor{int64} [id K] ''
     | | | |   | | |   |Shape [id L] ''
     | | | |   | | |   | |Rebroadcast{0} [id M] ''
-    | | | |   | | |   |   |DimShuffle{x,0} [id N] ''
+    | | | |   | | |   |   |InplaceDimShuffle{x,0} [id N] ''
     | | | |   | | |   |     |Elemwise{second,no_inplace} [id O] ''
     | | | |   | | |   |       |A [id P]
-    | | | |   | | |   |       |DimShuffle{x} [id Q] ''
+    | | | |   | | |   |       |InplaceDimShuffle{x} [id Q] ''
     | | | |   | | |   |         |TensorConstant{1.0} [id R]
     | | | |   | | |   |Constant{0} [id S]
     | | | |   | | |Subtensor{int64} [id T] ''
@@ -675,20 +675,20 @@ def test_scan_debugprint5():
     | | | | | |k [id G]
     | | | | | |IncSubtensor{Set;:int64:} [id H] ''
     | | | | | |A [id P]
-    | | | | |DimShuffle{x,x} [id BP] ''
+    | | | | |InplaceDimShuffle{x,x} [id BP] ''
     | | | |   |TensorConstant{0.0} [id BQ]
     | | | |IncSubtensor{Inc;int64} [id BR] ''
     | | | | |Elemwise{second,no_inplace} [id BS] ''
     | | | | | |Subtensor{int64::} [id BT] ''
     | | | | | | |for{cpu,scan_fn} [id BO] ''
     | | | | | | |Constant{1} [id BU]
-    | | | | | |DimShuffle{x,x} [id BV] ''
+    | | | | | |InplaceDimShuffle{x,x} [id BV] ''
     | | | | |   |TensorConstant{0.0} [id BQ]
     | | | | |Elemwise{second} [id BW] ''
     | | | | | |Subtensor{int64} [id BX] ''
     | | | | | | |Subtensor{int64::} [id BT] ''
     | | | | | | |Constant{-1} [id BY]
-    | | | | | |DimShuffle{x} [id BZ] ''
+    | | | | | |InplaceDimShuffle{x} [id BZ] ''
     | | | | |   |Elemwise{second,no_inplace} [id CA] ''
     | | | | |     |Sum{acc_dtype=float64} [id CB] ''
     | | | | |     | |Subtensor{int64} [id BX] ''
@@ -740,6 +740,9 @@ def test_scan_debugprint5():
     >Elemwise{mul,no_inplace} [id CS] ''"""
 
     for truth, out in zip(expected_output.split("\n"), lines):
+        if truth.strip() != out.strip():
+            import pdb
+            pdb.set_trace()
         assert truth.strip() == out.strip()