Imported Upstream version 1.1.0upstream/1.1.0submit/tizen/20200304.094649submit/tizen/20200304.093946submit/tizen/20200304.092919accepted/tizen/unified/20200305.051107

1 files changed, 70 insertions, 0 deletions

diff --git a/tests/nnapi/specs/V1_2/reduce_max.mod.py b/tests/nnapi/specs/V1_2/reduce_max.mod.py
new file mode 100644
index 000000000..f08041ddd
--- /dev/null
+++ b/tests/nnapi/specs/V1_2/reduce_max.mod.py
@@ -0,0 +1,70 @@
+#
+# 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.
+#
+
+def test(input0, output0, axes, keep_dims, input_data, output_data):
+  model = Model().Operation("REDUCE_MAX", input0, axes, keep_dims).To(output0)
+  quant8 = DataTypeConverter().Identify({
+      input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
+      output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
+  })
+  Example({
+      input0: input_data,
+      output0: output_data,
+  }, model=model).AddVariations("relaxed", "float16", quant8)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{3, 2}"),
+    input_data=[-1, -2,
+                3, 4,
+                5, -6],
+    axes=[-1],
+    keep_dims=False,
+    output0=Output("output0", "TENSOR_FLOAT32", "{3}"),
+    output_data=[-1, 4, 5],
+)
+
+# Tests below were adapted from tensorflow/lite/kernels/reduce_test.cc
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{1}"),
+    input_data=[9.527],
+    axes=[0],
+    keep_dims=True,
+    output0=Output("output0", "TENSOR_FLOAT32", "{1}"),
+    output_data=[9.527],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{4, 3, 2}"),
+    input_data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8,
+                0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6,
+                1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4],
+    axes=[1, 0, -3, -3],
+    keep_dims=False,
+    output0=Output("output0", "TENSOR_FLOAT32", "{2}"),
+    output_data=[2.3, 2.4],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{4, 3, 2}"),
+    input_data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8,
+                0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6,
+                1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4],
+    axes=[0, 2],
+    keep_dims=True,
+    output0=Output("output0", "TENSOR_FLOAT32", "{1, 3, 1}"),
+    output_data=[2.0, 2.2, 2.4],
+)