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diff --git a/tests/nnapi/specs/V1_0/conv_float_large.mod.py b/tests/nnapi/specs/V1_0/conv_float_large.mod.py
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+++ b/tests/nnapi/specs/V1_0/conv_float_large.mod.py
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+#
+# 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, 3, 3}")
+f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1., 4., 7., 2., 5., 8., 3., 6., 9.])
+b1 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.])
+pad0 = Int32Scalar("pad0", 0)
+act = Int32Scalar("act", 0)
+stride = Int32Scalar("stride", 1)
+# output dimension:
+# (i1.height - f1.height + 1) x (i1.width - f1.width + 1)
+output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 3, 3}")
+
+model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [ 1., 2., 3., 4., 5., 6., 7., 8., 9.,
+ 10., 11., 12., 13., 14., 15., 16., 17., 18.]}
+
+output0 = {output: # output 0
+ [ 30., 36., 42.,
+ 66., 81., 96.,
+ 102., 126., 150.,
+ 138., 171., 204.,
+ 174., 216., 258.,
+ 210., 261., 312.]
+ }
+
+# Instantiate an example
+Example((input0, output0))