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diff --git a/tests/nnapi/specs/V1_0/fully_connected_quant8_2.mod.py b/tests/nnapi/specs/V1_0/fully_connected_quant8_2.mod.py
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+#
+# Copyright (C) 2018 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()
+in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{4, 1, 5, 1}, 0.5f, 127")
+weights = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 10}, 0.5f, 127",
+ [129, 131, 133, 135, 137, 139, 141, 143, 145, 147,
+ 129, 131, 133, 135, 137, 139, 141, 143, 145, 147,
+ 129, 131, 133, 135, 137, 139, 141, 143, 145, 147])
+bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12])
+out0 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2, 3}, 1.f, 127")
+act_relu = Int32Scalar("act_relu", 1)
+model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
+
+# Example 1. Input in operand 0,
+input0 = {in0: # input 0
+ [129, 131, 133, 135, 137, 139, 141, 143, 109, 107,
+ 129, 131, 133, 135, 137, 139, 141, 111, 145, 107]}
+output0 = {out0: # output 0
+ [151, 152, 153, 185, 186, 187]}
+
+# Instantiate an example
+Example((input0, output0))