Fix apply node setup and connection_pattern in GpuDnnTransformerGradI

theano/gpuarray/dnn.py

@@ -2960,7 +2960,7 @@ class GpuDnnTransformerGradI(DnnBase):
     """
     __props__ = ('dtype',)
     _cop_num_inputs = 8
-    _cop_num_outputs = 1
+    _cop_num_outputs = 2
     _f16_ok = True
 
     def __init__(self, dtype=theano.config.floatX):
@@ -2980,6 +2980,8 @@ class GpuDnnTransformerGradI(DnnBase):
         grid = as_gpuarray_variable(gpu_contiguous(grid), context_name)
         grid_dims = as_tensor_variable(grid_dims)
         dy = as_gpuarray_variable(dy, context_name)
+        alpha = as_scalar(alpha)
+        beta = as_scalar(beta)
 
         dimg = GpuArrayType(dtype=self.dtype,
                             broadcastable=img.type.ndim * (False,),
@@ -2995,7 +2997,7 @@ class GpuDnnTransformerGradI(DnnBase):
 
     def connection_pattern(self, node):
         # not connected to desc
-        return [[1], [1], [1], [1], [1], [0], [1], [1]]
+        return [[1, 1], [1, 1], [1, 1], [1, 1], [1, 1], [0, 0], [1, 1], [1, 1]]
 
 
 class GpuDnnTransformerGradT(DnnBase):