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diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/l2_pool_float_large.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/l2_pool_float_large.mod.py
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+++ b/runtimes/tests/neural_networks_test/specs/V1_0/l2_pool_float_large.mod.py
@@ -0,0 +1,41 @@
+#
+# Copyright (C) 2017 The Android Open Source Project
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 3}") # input 0
+filter_width = Int32Scalar("filter_width", 2)
+filter_height = Int32Scalar("filter_height", 2)
+stride_width = Int32Scalar("stride_width", 1)
+stride_height = Int32Scalar("stride_height", 1)
+pad0 = Int32Scalar("pad0", 0)
+act = Int32Scalar("act", 0)
+i3 = Output("op3", "TENSOR_FLOAT32", "{1, 1, 1, 3}") # output 0
+model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0,
+ stride_width, stride_height,
+ filter_width, filter_height,
+ act).To(i3)
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1.0, 2.0, 3.0,
+ 4.0, 5.0, 6.0,
+ 7.0, 8.0, 9.0,
+ 10.0, 11.0, 12.0]}
+output0 = {i3: # output 0
+ [6.442049503326416, # sqrt(166/4)
+ 7.3143692016601562, # sqrt(214/4)
+ 8.2158384323120117]} # sqrt(270/4)
+# Instantiate an example
+Example((input0, output0))