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diff --git a/tests/nnapi/specs/V1_0/depthwise_conv2d_quant8_weights_as_inputs.mod.py b/tests/nnapi/specs/V1_0/depthwise_conv2d_quant8_weights_as_inputs.mod.py
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+++ b/tests/nnapi/specs/V1_0/depthwise_conv2d_quant8_weights_as_inputs.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, 2, 2, 2}, 0.5f, 0")
+f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0")
+b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0")
+pad0 = Int32Scalar("pad0", 0)
+act = Int32Scalar("act", 0)
+stride = Int32Scalar("stride", 1)
+cm = Int32Scalar("channelMultiplier", 1)
+output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1,1,1,2}, 1.f, 0")
+
+model = model.Operation("DEPTHWISE_CONV_2D",
+ i1, f1, b1,
+ pad0, pad0, pad0, pad0,
+ stride, stride,
+ cm, act).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [4, 16, 4, 32, 4, 64, 4, 128],
+ f1:
+ [2, 4, 2, 0, 2, 2, 2, 0],
+ b1:
+ [0, 0]}
+# (i1 (depthconv) f1)
+output0 = {output: # output 0
+ [8, 48]}
+
+# Instantiate an example
+Example((input0, output0))