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authorChunseok Lee <chunseok.lee@samsung.com>2020-04-23 14:45:49 +0900
committerChunseok Lee <chunseok.lee@samsung.com>2020-04-23 14:45:49 +0900
commite2ef8438a24f7c56a0744eb579a6e293ee2fbf8e (patch)
tree44a1a7951d168dd4370e13593ed03f4bc6d920c5 /tests/nnapi/specs/V1_2/logical_and.mod.py
parent302e6564a7a76109e1178207e44e45a58631c477 (diff)
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Imported Upstream version 1.4.0upstream/1.4.0submit/tizen/20200423.054851
Diffstat (limited to 'tests/nnapi/specs/V1_2/logical_and.mod.py')
-rwxr-xr-xtests/nnapi/specs/V1_2/logical_and.mod.py43
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diff --git a/tests/nnapi/specs/V1_2/logical_and.mod.py b/tests/nnapi/specs/V1_2/logical_and.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.
+#
+
+def test(name, input0, input1, output0, input0_data, input1_data, output_data):
+ model = Model().Operation("LOGICAL_AND", input0, input1).To(output0)
+ Example({
+ input0: input0_data,
+ input1: input1_data,
+ output0: output_data,
+ }, model=model, name=name)
+
+test(
+ name="simple",
+ input0=Input("input0", "TENSOR_BOOL8", "{1, 1, 1, 4}"),
+ input1=Input("input1", "TENSOR_BOOL8", "{1, 1, 1, 4}"),
+ output0=Output("output0", "TENSOR_BOOL8", "{1, 1, 1, 4}"),
+ input0_data=[True, False, False, True],
+ input1_data=[True, False, True, False],
+ output_data=[True, False, False, False],
+)
+
+test(
+ name="broadcast",
+ input0=Input("input0", "TENSOR_BOOL8", "{1, 1, 1, 4}"),
+ input1=Input("input1", "TENSOR_BOOL8", "{1, 1}"),
+ output0=Output("output0", "TENSOR_BOOL8", "{1, 1, 1, 4}"),
+ input0_data=[True, False, False, True],
+ input1_data=[True],
+ output_data=[True, False, False, True],
+)