1 files changed, 41 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_implicit_parameter/mean_implicit.mod.py b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_implicit_parameter/mean_implicit.mod.py
new file mode 100644
index 000000000..be7b22bdb
--- /dev/null
+++ b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_implicit_parameter/mean_implicit.mod.py
@@ -0,0 +1,41 @@
+# Copyright 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.
+
+i0 = Input("i0", ("TENSOR_FLOAT32", [2, 2]))  # input 0
+
+o1 = Output("o1", ("TENSOR_FLOAT32", [1, 2])) # output for model1
+o2 = Output("o2", ("TENSOR_FLOAT32", [2, 1])) # output for model2
+o3 = Output("o3", ("TENSOR_FLOAT32", [1]))    # output for model3
+
+model1 = Model().Operation("MEAN", i0, [0], 1).To(o1)       # along axis 0, keep_dim=True
+model2 = Model().Operation("MEAN", i0, [1], 1).To(o2)       # along axis 1, keep_dim=True
+model3 = Model().Operation("MEAN", i0, [0, 1], 0).To(o3)    # along both axis, keep_dim=False
+
+inputs1 = {i0: [1, 2, 3, 4]}
+outputs11 = {o1: [4, 6]}
+outputs12 = {o2: [3, 7]}
+outputs13 = {o3: [10]}
+
+inputs2 = {i0: [-1, -2, -3, -4]}
+outputs21 = {o1: [-4, -6]}
+outputs22 = {o2: [-3, -7]}
+outputs23 = {o3: [-10]}
+
+Example((inputs1, outputs11), model=model1)
+Example((inputs1, outputs12), model=model2)
+Example((inputs1, outputs13), model=model3)
+
+Example((inputs2, outputs21), model=model1)
+Example((inputs2, outputs22), model=model2)
+Example((inputs2, outputs23), model=model3)