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diff --git a/tests/nnapi/specs/V1_0/conv_quant8_channels.mod.py b/tests/nnapi/specs/V1_0/conv_quant8_channels.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_QUANT8_ASYMM", "{1, 1, 1, 3}, 0.5f, 0")
+f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5f, 0", [1, 2, 3, 4, 5, 6, 7, 8, 9])
+b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0])
+pad0 = Int32Scalar("pad0", 0)
+act = Int32Scalar("act", 0)
+stride = Int32Scalar("stride", 1)
+output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 3}, 1.0, 0")
+
+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
+ [10, 10, 10]}
+
+output0 = {output: # output 0
+ [15, 38, 60]}
+
+# Instantiate an example
+Example((input0, output0))