diff options
Diffstat (limited to 'tests/nnapi/specs/V1_2/equal.mod.py')
-rwxr-xr-x | tests/nnapi/specs/V1_2/equal.mod.py | 99 |
1 files changed, 99 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_2/equal.mod.py b/tests/nnapi/specs/V1_2/equal.mod.py new file mode 100755 index 000000000..d7c40fe63 --- /dev/null +++ b/tests/nnapi/specs/V1_2/equal.mod.py @@ -0,0 +1,99 @@ +# +# 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, do_variations=True): + model = Model().Operation("EQUAL", input0, input1).To(output0) + example = Example({ + input0: input0_data, + input1: input1_data, + output0: output_data, + }, model=model, name=name) + if do_variations: + example.AddVariations("int32", "float16", "relaxed") + +test( + name="simple", + input0=Input("input0", "TENSOR_FLOAT32", "{3}"), + input1=Input("input1", "TENSOR_FLOAT32", "{3}"), + output0=Output("output0", "TENSOR_BOOL8", "{3}"), + input0_data=[5, 7, 10], + input1_data=[10, 7, 5], + output_data=[False, True, False], +) + +test( + name="broadcast", + input0=Input("input0", "TENSOR_FLOAT32", "{2, 1}"), + input1=Input("input1", "TENSOR_FLOAT32", "{2}"), + output0=Output("output0", "TENSOR_BOOL8", "{2, 2}"), + input0_data=[5, 10], + input1_data=[10, 5], + output_data=[False, True, True, False], +) + +test( + name="quantized_different_scale", + input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [3], 1.0, 128)), + input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 2.0, 128)), + output0=Output("output0", "TENSOR_BOOL8", "{3}"), + input0_data=[129, 130, 131], # effectively 1, 2, 3 + input1_data=[129], # effectively 2 + output_data=[False, True, False], + do_variations=False, +) + +test( + name="quantized_different_zero_point", + input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [3], 1.0, 128)), + input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.0, 129)), + output0=Output("output0", "TENSOR_BOOL8", "{3}"), + input0_data=[129, 130, 131], # effectively 1, 2, 3 + input1_data=[131], # effectively 2 + output_data=[False, True, False], + do_variations=False, +) + +test( + name="quantized_overflow_second_input_if_requantized", + input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [1], 1.64771, 31)), + input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.49725, 240)), + output0=Output("output0", "TENSOR_BOOL8", "{1}"), + input0_data=[0], + input1_data=[200], + output_data=[False], + do_variations=False, +) + +test( + name="quantized_overflow_first_input_if_requantized", + input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [1], 1.49725, 240)), + input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.64771, 31)), + output0=Output("output0", "TENSOR_BOOL8", "{1}"), + input0_data=[200], + input1_data=[0], + output_data=[False], + do_variations=False, +) + +test( + name="boolean", + input0=Input("input0", "TENSOR_BOOL8", "{4}"), + input1=Input("input1", "TENSOR_BOOL8", "{4}"), + output0=Output("output0", "TENSOR_BOOL8", "{4}"), + input0_data=[False, True, False, True], + input1_data=[False, False, True, True], + output_data=[True, False, False, True], + do_variations=False, +) |