Added CudaNdarray.is_c_contiguous().

theano/sandbox/cuda/cuda_ndarray.cu

@@ -810,6 +810,9 @@ static PyMethodDef CudaNdarray_methods[] =
     {"copy",
         (PyCFunction)CudaNdarray_Copy, METH_NOARGS,
         "Create a copy of this object"},
+    {"is_c_contiguous",
+        (PyCFunction)CudaNdarray_IS_C_Contiguous, METH_NOARGS,
+        "Return True is the object is c contiguous. False otherwise."},
     {"reduce_sum",
         (PyCFunction)CudaNdarray_ReduceSum, METH_O,
         "Reduce over the given dimensions by summation"},

theano/sandbox/cuda/cuda_ndarray.cuh

@@ -504,6 +504,10 @@ CudaNdarray_ZEROS(int n, int * dims);
  * True iff the strides look like [dim[nd-2], dim[nd-3], ... , dim[0], 1]
  */
 bool CudaNdarray_is_c_contiguous(const CudaNdarray * self);
+PyObject * CudaNdarray_IS_C_Contiguous(CudaNdarray * self)
+{
+    return PyBool_FromLong(CudaNdarray_is_c_contiguous(self));
+}
 
 int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B, float beta, CudaNdarray * C);
 int CudaNdarray_sger(float alpha, CudaNdarray * x, CudaNdarray * y, CudaNdarray* A);

theano/sandbox/cuda/tests/test_cuda_ndarray.py

@@ -909,6 +909,11 @@ def test_base():
     e = b.reshape((5,2,2,3))
     assert e.base is a
 
+def test_is_c_contiguous():
+    a = cuda_ndarray.CudaNdarray.zeros((3,4,5))
+    assert a.is_c_contiguous()
+    assert a[1].is_c_contiguous()
+    assert not a[::2].is_c_contiguous()
 
 if __name__ == '__main__':
     test_zeros_basic_3d_tensor()