Merge pull request #3652 from nouiz/err_msg

doc/install.txt

@@ -484,7 +484,7 @@ Using the GPU
 
 The first thing you'll need for Theano to use your GPU is Nvidia's
 GPU-programming toolchain. You should install at least the CUDA driver and the CUDA Toolkit, as
-`described here <http://www.nvidia.com/object/cuda_get.html>`_.  The CUDA
+`described here <https://developer.nvidia.com/cuda-toolkit>`_.  The CUDA
 Toolkit installs a folder on your computer with subfolders *bin*, *lib*,
 *include*, and some more too.  (Sanity check: The *bin* subfolder should contain an *nvcc*
 program which is the compiler for GPU code.)  This folder is called the *cuda

theano/tensor/basic.py

@@ -4230,7 +4230,8 @@ def get_vector_length(v):
     """
     v = as_tensor_variable(v)
     if v.ndim != 1:
-        raise TypeError('argument must be symbolic vector')
+        raise TypeError("argument must be symbolic vector, got '%s'" %
+                        v)
     if v.type.broadcastable[0]:
         return 1
     if isinstance(v, gof.Constant) and v.type.ndim == 1:
@@ -4479,6 +4480,11 @@ class Reshape(Op):
 
 def reshape(x, newshape, ndim=None, name=None):
     if ndim is None:
+        newshape = as_tensor_variable(newshape)
+        if newshape.ndim != 1:
+            raise TypeError(
+                "New shape in reshape must be a vector or a list/tuple of"
+                " scalar. Got %s after conversion to a vector." % newshape)
         try:
             ndim = get_vector_length(newshape)
         except ValueError:

theano/tensor/raw_random.py

@@ -379,10 +379,18 @@ def _infer_ndim_bcast(ndim, shape, *args):
         ndim = template.ndim
     else:
         v_shape = tensor.as_tensor_variable(shape)
+        if v_shape.ndim != 1:
+            raise TypeError(
+                "shape must be a vector or list of scalar, got '%s'" % v_shape)
+
         if ndim is None:
             ndim = tensor.get_vector_length(v_shape)
         bcast = [False] * ndim
 
+    if v_shape.ndim != 1:
+        raise TypeError("shape must be a vector or list of scalar, got '%s'" %
+                        v_shape)
+
     if (not (v_shape.dtype.startswith('int') or
              v_shape.dtype.startswith('uint'))):
         raise TypeError('shape must be an integer vector or list',