whoops

theano/gpuarray/opt.py

@@ -259,7 +259,7 @@ def op_lifter(OP, cuda_only=False):
                         new_outputs = new_op
                         to_cpu_fn = safe_to_cpu
                     else:  # suppose it is a variable on the GPU
-                        new_outputs = new_op]
+                        new_outputs = [new_op]
                         to_cpu_fn = lambda x: x.transfer('cpu')
                     # copy stack traces onto gpu outputs
                     for old_output, new_output in zip(node.outputs, new_outputs):
@@ -1400,11 +1400,12 @@ def local_gpua_dot22(op, context_name, inputs, outputs):
 @op_lifter([tensor.blas.Dot22Scalar])
 @register_opt2([tensor.blas.Dot22Scalar], 'fast_compile')
 def local_gpua_dot22scalar(op, context_name, inputs, outputs):
-    x, y, a = inputs
-    x = as_gpuarray_variable(x, context_name)
-    y = as_gpuarray_variable(y, context_name)
-    z = GpuAllocEmpty(x.dtype, context_name)(x.shape[0], y.shape[1])
-    return [gpugemm_no_inplace(z, a, x, y, 0)]
+    with inherit_stack_trace(outputs):
+        x, y, a = inputs
+        x = as_gpuarray_variable(x, context_name)
+        y = as_gpuarray_variable(y, context_name)
+        z = GpuAllocEmpty(x.dtype, context_name)(x.shape[0], y.shape[1])
+        return [gpugemm_no_inplace(z, a, x, y, 0)]
 
 
 @register_opt('fast_compile')