Integrate chazhang/rowstack_clone into master

Source/ComputationNetworkLib/ReshapingNodes.h

@@ -581,6 +581,7 @@ public:
         {
             auto node = dynamic_pointer_cast<RowStackNode<ElemType>>(nodeP);
             node->m_firstIndices = m_firstIndices;
+            node->m_spliceDim = m_spliceDim; 
         }
     }
 

bindings/python/cntk/ops/tests/function_tests.py

@@ -13,7 +13,7 @@ import pytest
 from ..functions import *
 from ...trainer import *
 from ...initializer import glorot_uniform
-from .. import constant, parameter, input_variable, placeholder_variable, times, plus, past_value, sequence, as_composite, combine
+from .. import constant, parameter, input_variable, placeholder_variable, times, plus, past_value, sequence, as_composite, combine, convolution, splice
 from ... import InferredDimension
 from .ops_test_utils import compare_lists_of_np_arrays, AA
 
@@ -21,7 +21,6 @@ def test_variable_forwarding():
     op = constant(value=2, shape=(3,4)) + 1
     assert op.shape == (3,4)
 
-
 def test_replace_placeholders():
     p = placeholder_variable(shape=(1,))
     i = input_variable(shape=(1,),
@@ -214,6 +213,23 @@ def test_clone_with_function_in_substitution_map():
     just_b = t_plus_b.clone('clone', {t : p})
     t_plus_b_clone = just_b.clone('share', {p : t})
 
+def test_clone_with_slice(): 
+    i1 = input_variable((2,2), name='i1')
+    i2 = input_variable((2,2), name='i2')
+    x = splice((i1,i2), 0) 
+    W = constant(1, (4,1), name='W') 
+    y = convolution(W, x)
+    assert(y.shape == (4,2)) 
+    
+    from ..functions import CloneMethod
+    x1 = input_variable((2,1), name='x1')
+    x2 = input_variable((2,1), name='x2')
+    p1 = placeholder_variable()
+    p2 = placeholder_variable()
+    y_cloned = y.clone('clone', {i1:p1, i2:p2})
+    y2 = y_cloned(x1, x2)
+    assert(y2.shape == (4,1))
+
 def test_as_composite():
     input_dim = 1
     proj_dim = 2