| # |
| # 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. |
| # |
| import collections |
| |
| TestCase = collections.namedtuple("TestCase", [ |
| "inp", "inp_data", "k", "out_values", "out_values_data", "out_indices", |
| "out_indices_data" |
| ]) |
| |
| test_cases = [ |
| TestCase( |
| inp=Input("input", "TENSOR_FLOAT32", "{2, 2}"), |
| inp_data=[-2.0, 0.2, 0.8, 0.1], |
| k=Int32Scalar("k", 2), |
| out_values=Output("out_values", "TENSOR_FLOAT32", "{2, 2}"), |
| out_values_data=[0.2, -2.0, 0.8, 0.1], |
| out_indices=Output("out_indices", "TENSOR_INT32", "{2, 2}"), |
| out_indices_data=[1, 0, 0, 1]), |
| TestCase( |
| inp=Input("input", "TENSOR_FLOAT32", "{2, 3}"), |
| inp_data=[-2.0, -3.0, 0.2, 0.8, 0.1, -0.1], |
| k=Int32Scalar("k", 2), |
| out_values=Output("out_values", "TENSOR_FLOAT32", "{2, 2}"), |
| out_values_data=[0.2, -2.0, 0.8, 0.1], |
| out_indices=Output("out_indices", "TENSOR_INT32", "{2, 2}"), |
| out_indices_data=[2, 0, 0, 1]), |
| TestCase( |
| inp=Input("input", "TENSOR_FLOAT32", "{2, 4}"), |
| inp_data=[-2.0, -3.0, -4.0, 0.2, 0.8, 0.1, -0.1, -0.8], |
| k=Int32Scalar("k", 2), |
| out_values=Output("out_values", "TENSOR_FLOAT32", "{2, 2}"), |
| out_values_data=[0.2, -2.0, 0.8, 0.1], |
| out_indices=Output("out_indices", "TENSOR_INT32", "{2, 2}"), |
| out_indices_data=[3, 0, 0, 1]), |
| TestCase( |
| inp=Input("input", "TENSOR_FLOAT32", "{8}"), |
| inp_data=[-2.0, -3.0, -4.0, 0.2, 0.8, 0.1, -0.1, -0.8], |
| k=Int32Scalar("k", 2), |
| out_values=Output("out_values", "TENSOR_FLOAT32", "{2}"), |
| out_values_data=[0.8, 0.2], |
| out_indices=Output("out_indices", "TENSOR_INT32", "{2}"), |
| out_indices_data=[4, 3]), |
| TestCase( |
| inp=Input("input", "TENSOR_QUANT8_ASYMM", "{2, 3}, 2.0, 128"), |
| inp_data=[1, 2, 3, 251, 250, 249], |
| k=Int32Scalar("k", 2), |
| out_values=Output("out_values", "TENSOR_QUANT8_ASYMM", "{2, 2}, 2.0, 128"), |
| out_values_data=[3, 2, 251, 250], |
| out_indices=Output("out_indices", "TENSOR_INT32", "{2, 2}"), |
| out_indices_data=[2, 1, 0, 1]), |
| TestCase( |
| inp=Input("input", "TENSOR_INT32", "{2, 3}"), |
| inp_data=[1, 2, 3, 10251, 10250, 10249], |
| k=Int32Scalar("k", 2), |
| out_values=Output("out_values", "TENSOR_INT32", "{2, 2}"), |
| out_values_data=[3, 2, 10251, 10250], |
| out_indices=Output("out_indices", "TENSOR_INT32", "{2, 2}"), |
| out_indices_data=[2, 1, 0, 1]), |
| ] |
| |
| for test_case in test_cases: |
| model = Model().Operation("TOPK_V2", test_case.inp, test_case.k).To( |
| test_case.out_values, test_case.out_indices) |
| Example({ |
| test_case.inp: test_case.inp_data, |
| test_case.out_values: test_case.out_values_data, |
| test_case.out_indices: test_case.out_indices_data |
| }, model=model).AddVariations("relaxed", "float16") |