Add POW op test with same inputs shapes to increase code coverage

Fix: 129571542
Test: NNTest_static
Change-Id: Ie94a0a36b1df10afff6a5269f9375f99bc6ffba7

1 files changed, 29 insertions, 0 deletions

diff --git a/nn/runtime/test/specs/V1_3/pow_same_shape.mod.py b/nn/runtime/test/specs/V1_3/pow_same_shape.mod.py
new file mode 100644
index 000000000..f44f167ce
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/pow_same_shape.mod.py
@@ -0,0 +1,29 @@
+#
+# Copyright (C) 2020 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.
+#
+base = Input("base", "TENSOR_FLOAT32", "{3, 2, 1}")
+exponent = Input("exponent", "TENSOR_FLOAT32", "{3, 2, 1}")
+output = Output("output", "TENSOR_FLOAT32", "{3, 2, 1}")
+
+base_data = [1, 2, 3, 4, 5, 6]
+exponent_data = [4, 3, 2, 1, 0.5, 0]
+output_data = [base_data[i]**exponent_data[i] for i in range(len(base_data))]
+
+model = Model().Operation("POW", base, exponent).To(output).IntroducedIn("V1_2")
+Example({
+    base: base_data,
+    exponent: exponent_data,
+    output: output_data
+}, model=model).AddVariations("relaxed", "float16")