Merge pull request #4261 from nouiz/err_msg_inputs

theano/gof/link.py

@@ -157,6 +157,9 @@ def raise_with_op(node, thunk=None, exc_info=None, storage_map=None):
         detailed_err_msg += ("Inputs shapes: %s" % shapes +
                              "\nInputs strides: %s" % strides +
                              "\nInputs values: %s" % scalar_values)
+        if theano.config.exception_verbosity == 'high':
+            detailed_err_msg += "\nInputs type_num: %s" % str(
+                [getattr(getattr(i[0], 'dtype', ''), 'num', '') for i in thunk.inputs])
         if hasattr(node.op, '__input_name__'):
             detailed_err_msg += "\nInputs name: %s\n" % str(node.op.__input_name__)
 

theano/tensor/subtensor.py

@@ -1929,13 +1929,13 @@ class AdvancedIncSubtensor1(Op):
         """
         # Parameters of PyArrary_FromAny are:
         # array
-        # dtype: we pass NULL to say any dtype is acceptable, so the existing
-        #        dtype will be copied
+        # dtype: NULL mean any dtype is acceptable.
+        #        We force the dtype to try to fix a Windows problem.
         # min_depth: we pass 0 to have this parameter ignored
         # max_depth: we pass 0 to have this parameter ignored
         # requirements: here we pass NPY_ARRAY_ENSURECOPY to force a copy
         # context: this is almost always NULL, I'm not sure what it's used for
-        return """(PyArrayObject*)PyArray_FromAny(py_%(x)s, NULL, 0, 0,
+        return """(PyArrayObject*)PyArray_FromAny(py_%(x)s, PyArray_DTYPE(%(x)s), 0, 0,
                 NPY_ARRAY_ENSURECOPY, NULL)""" % locals()
 
     def c_support_code(self):