diff --git a/kaffe/layers.py b/kaffe/layers.py
index c3c5955..62b2a68 100644
--- a/kaffe/layers.py
+++ b/kaffe/layers.py
@@ -103,6 +103,7 @@ class LayerAdapter(object):
     def __init__(self, layer, kind):
         self.layer = layer
         self.kind = kind
+        self._input_shape = None
 
     @property
     def parameters(self):
@@ -130,12 +131,22 @@ def get_kernel_value(scalar, repeated, idx, default=None):
             raise ValueError('Unable to determine kernel parameter!')
         return default
 
+    def set_input_shape(self, input_shape):
+        self._input_shape = input_shape
+
     @property
     def kernel_parameters(self):
         assert self.kind in (NodeKind.Convolution, NodeKind.Pooling)
         params = self.parameters
-        k_h = self.get_kernel_value(params.kernel_h, params.kernel_size, 0)
-        k_w = self.get_kernel_value(params.kernel_w, params.kernel_size, 1)
+        global_pool = hasattr(params, 'global_pooling')
+        if params.kernel_size:
+            k_h = self.get_kernel_value(params.kernel_h, params.kernel_size, 0)
+            k_w = self.get_kernel_value(params.kernel_w, params.kernel_size, 1)
+        elif self._input_shape:
+            k_h, k_w = [self._input_shape.height, self._input_shape.width]
+        else: #errors out in get_kernel_value function
+            k_h = self.get_kernel_value(params.kernel_h, params.kernel_size, 0)
+            k_w = self.get_kernel_value(params.kernel_w, params.kernel_size, 1)
         s_h = self.get_kernel_value(params.stride_h, params.stride, 0, default=1)
         s_w = self.get_kernel_value(params.stride_w, params.stride, 1, default=1)
         p_h = self.get_kernel_value(params.pad_h, params.pad, 0, default=0)
diff --git a/kaffe/shapes.py b/kaffe/shapes.py
index a70ff14..c7eb640 100644
--- a/kaffe/shapes.py
+++ b/kaffe/shapes.py
@@ -15,6 +15,7 @@ def get_filter_output_shape(i_h, i_w, params, round_func):
 def get_strided_kernel_output_shape(node, round_func):
     assert node.layer is not None
     input_shape = node.get_only_parent().output_shape
+    node.layer.set_input_shape(input_shape)
     o_h, o_w = get_filter_output_shape(input_shape.height, input_shape.width,
                                        node.layer.kernel_parameters, round_func)
     params = node.layer.parameters