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author | Chunseok Lee <chunseok.lee@samsung.com> | 2020-04-23 14:45:49 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2020-04-23 14:45:49 +0900 |
commit | e2ef8438a24f7c56a0744eb579a6e293ee2fbf8e (patch) | |
tree | 44a1a7951d168dd4370e13593ed03f4bc6d920c5 /tests/nnapi/specs/V1_2/logical_and.mod.py | |
parent | 302e6564a7a76109e1178207e44e45a58631c477 (diff) | |
download | nnfw-e2ef8438a24f7c56a0744eb579a6e293ee2fbf8e.tar.gz nnfw-e2ef8438a24f7c56a0744eb579a6e293ee2fbf8e.tar.bz2 nnfw-e2ef8438a24f7c56a0744eb579a6e293ee2fbf8e.zip |
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-x | tests/nnapi/specs/V1_2/logical_and.mod.py | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_2/logical_and.mod.py b/tests/nnapi/specs/V1_2/logical_and.mod.py new file mode 100755 index 000000000..c831bb2a6 --- /dev/null +++ b/tests/nnapi/specs/V1_2/logical_and.mod.py @@ -0,0 +1,43 @@ +# +# 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], +) |