Merge pull request #5276 from ReyhaneAskari/fix_5253

theano/scan_module/scan_checkpoints.py

 from __future__ import absolute_import, print_function, division
 
 import theano
+from theano.tensor.basic import Join
 
 
 def scan_checkpoints(fn, sequences=[], outputs_info=None, non_sequences=[],
@@ -114,10 +115,12 @@ def scan_checkpoints(fn, sequences=[], outputs_info=None, non_sequences=[],
 
     # Pad the sequences if needed
     if padding:
+        # Since padding could be an empty tensor, Join returns a view of s.
+        join = Join(view=0)
         for i, s in enumerate(sequences):
             n = s.shape[0] % save_every_N
             z = theano.tensor.zeros((n, s.shape[1:]), dtype=s.dtype)
-            sequences[i] = theano.tensor.concatenate([s, z], axis=0)
+            sequences[i] = join(0, [s, z])
 
     # Establish the input variables of the outer scan
     o_sequences = [s.reshape([s.shape[0] / save_every_N, save_every_N] +

theano/tensor/basic.py

@@ -3886,7 +3886,25 @@ class Join(Op):
 
     """
     check_input = False
-    __props__ = ()
+    __props__ = ("view",)
+
+    def __init__(self, view=-1):
+        self.view = view
+        if view != -1:
+            # since the first input is always the axis, the tensors
+            # start from index 1.
+            self.view_map = {0: [1 + view]}
+
+    def __str__(self):
+        if self.view == -1:
+            return "Join"
+        else:
+            return super(Join, self).__str__()
+
+    def __setstate__(self, d):
+        self.__dict__.update(d)
+        if not hasattr(self, "view"):
+            self.view = -1
 
     def make_node(self, *axis_and_tensors):
         """
@@ -3998,7 +4016,15 @@ class Join(Op):
 
     def perform(self, node, axis_and_tensors, out_):
         out, = out_
+        view = self.view
         axis, tensors = axis_and_tensors[0], axis_and_tensors[1:]
+        # we check these tensors for being empty.
+        if (view != -1) and numpy.all(
+                [tensor.shape[axis] == 0 for tensor in
+                 tensors[0:view] + tensors[view + 1:]]):
+            out[0] = tensors[view]
+
+        else:
             ndim = tensors[0].ndim
             if axis < -ndim:
                 raise IndexError("Join axis %d out of bounds [0, %d)" %
@@ -4008,16 +4034,31 @@ class Join(Op):
                                      dtype=node.outputs[0].type.dtype)
 
     def c_code_cache_version(self):
-        return (3,)
+        return (4,)
 
     def c_code(self, node, name, inputs, outputs, sub):
         axis, tensors = inputs[0], inputs[1:]
+        view = self.view
+        non_empty_tensor = tensors[view]
         input_1 = tensors[0]
         l = len(tensors)
         out, = outputs
         fail = sub['fail']
         adtype = node.inputs[0].type.dtype_specs()[1]
         code = """
+        int axis = ((%(adtype)s *)PyArray_DATA(%(axis)s))[0];
+        int tensors_lens_sum = 0""" % locals()
+        for i, inp in enumerate(tensors):
+            code += """ + PyArray_DIM(%(inp)s, axis) """ % locals()
+        code += """;\n
+        tensors_lens_sum -= PyArray_DIM(%(non_empty_tensor)s, axis);
+
+        if(%(view)s != -1 && tensors_lens_sum == 0){
+            Py_XDECREF(%(out)s);
+            Py_INCREF(%(non_empty_tensor)s);
+            %(out)s = %(non_empty_tensor)s;
+        }
+        else{
             PyObject* list = PyList_New(%(l)s);
         """ % locals()
         for i, inp in enumerate(tensors):
@@ -4027,21 +4068,19 @@ class Join(Op):
             """ % locals()
         code += """
             //PyObject* PyArray_Concatenate(PyObject* obj, int axis)
-        int axis = ((%(adtype)s *)PyArray_DATA(%(axis)s))[0];
             int ndim = PyArray_NDIM(%(input_1)s);
             if( axis < -ndim ){
                 PyErr_Format(PyExc_IndexError,
                              "Join axis %%d out of bounds [0, %%d)", axis, ndim);
                 %(fail)s
             }
-
             Py_XDECREF(%(out)s);
             %(out)s = (PyArrayObject *)PyArray_Concatenate(list, axis);
-
             Py_DECREF(list);
             if(!%(out)s){
                 %(fail)s
             }
+        }
         """ % locals()
         return code
 

theano/tensor/tests/test_basic.py

@@ -4251,6 +4251,29 @@ class T_Join_and_Split(unittest.TestCase):
                     for node in f.maker.fgraph.toposort()])
         self.assertRaises(ValueError, f)
 
+def test_join_inplace():
+    """Test join to work inplace.
+
+    This function tests the case when several elements are passed to the
+    join function but all except one of them are empty. In this case join
+    should work inplace and the output should be the view of the non-empty
+    element.
+    """
+    s = tensor.lscalar()
+    x = tensor.vector('x')
+    z = tensor.zeros((s,))
+
+    join = Join(view=0)
+    c = join(0, x, z, z)
+
+    f = theano.function([theano.In(x, borrow=True), s], theano.Out(c, borrow=True))
+
+    data = numpy.array([3, 4, 5], dtype=theano.config.floatX)
+    print (f(data, 0))
+
+    assert f(data, 0) is data
+    assert numpy.allclose(f(data, 0), [3, 4, 5])
+
 
 class test_comparison(unittest.TestCase):
     """Test <, >, <=, >=, == and !=