tests/nnfw_api/src/one_op_tests/ExpandDims.cc

   1 /*
   2  * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
   3  *
   4  * Licensed under the Apache License, Version 2.0 (the "License");
   5  * you may not use this file except in compliance with the License.
   6  * You may obtain a copy of the License at
   7  *
   8  *      http://www.apache.org/licenses/LICENSE-2.0
   9  *
  10  * Unless required by applicable law or agreed to in writing, software
  11  * distributed under the License is distributed on an "AS IS" BASIS,
  12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13  * See the License for the specific language governing permissions and
  14  * limitations under the License.
  15  */
  16
  17 #include "GenModelTest.h"
  18
  19 TEST_F(GenModelTest, OneOp_ExpandDims)
  20 {
  21   CircleGen cgen;
  22
  23   std::vector<int32_t> axis_data{1};
  24   uint32_t axis_buf = cgen.addBuffer(axis_data);
  25   int in = cgen.addTensor({{1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
  26   int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32, axis_buf});
  27   int out = cgen.addTensor({{1, 1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
  28   cgen.addOperatorExpandDims({{in, axis}, {out}});
  29   cgen.setInputsAndOutputs({in}, {out});
  30
  31   _context = std::make_unique<GenModelTestContext>(cgen.finish());
  32   _context->addTestCase(
  33     TestCaseData{}.addInput<float>({0.1, 0.3, 0.5, 0.7}).addOutput<float>({0.1, 0.3, 0.5, 0.7}));
  34   _context->setBackends({"cpu"});
  35
  36   SUCCEED();
  37 }
  38
  39 TEST_F(GenModelTest, OneOp_ExpandDims_Int64AxisNeg)
  40 {
  41   CircleGen cgen;
  42
  43   std::vector<int64_t> axis_data{-1};
  44   uint32_t axis_buf = cgen.addBuffer(axis_data);
  45   int in = cgen.addTensor({{1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
  46   int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT64, axis_buf});
  47   int out = cgen.addTensor({{1, 4, 1, 1}, circle::TensorType::TensorType_FLOAT32});
  48   cgen.addOperatorExpandDims({{in, axis}, {out}});
  49   cgen.setInputsAndOutputs({in}, {out});
  50
  51   _context = std::make_unique<GenModelTestContext>(cgen.finish());
  52   _context->addTestCase(
  53     TestCaseData{}.addInput<float>({0.1, 0.3, 0.5, 0.7}).addOutput<float>({0.1, 0.3, 0.5, 0.7}));
  54   _context->setBackends({"cpu"});
  55
  56   SUCCEED();
  57 }
  58
  59 TEST_F(GenModelTest, OneOp_neg_ExpandDims_Axis)
  60 {
  61   CircleGen cgen;
  62
  63   std::vector<int32_t> axis_data{4};
  64   uint32_t axis_buf = cgen.addBuffer(axis_data);
  65   int in = cgen.addTensor({{1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
  66   int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32, axis_buf});
  67   int out = cgen.addTensor({{1, 1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
  68   cgen.addOperatorExpandDims({{in, axis}, {out}});
  69   cgen.setInputsAndOutputs({in}, {out});
  70
  71   _context = std::make_unique<GenModelTestContext>(cgen.finish());
  72   _context->setBackends({"cpu"});
  73   _context->expectFailCompile();
  74
  75   SUCCEED();
  76 }
  77
  78 TEST_F(GenModelTest, OneOp_neg_ExpandDims_AxisNegInput)
  79 {
  80   CircleGen cgen;
  81
  82   int in = cgen.addTensor({{1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
  83   int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32});
  84   int out = cgen.addTensor({{1, 1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
  85   cgen.addOperatorExpandDims({{in, axis}, {out}});
  86   cgen.setInputsAndOutputs({in, axis}, {out});
  87
  88   _context = std::make_unique<GenModelTestContext>(cgen.finish());
  89   _context->addTestCase(TestCaseData{}
  90                           .addInput<float>({0.1, 0.3, 0.5, 0.7})
  91                           .addInput<int32_t>({-5})
  92                           .addOutput<float>({0.1, 0.3, 0.5, 0.7})
  93                           .expectFailRun());
  94   _context->setBackends({"cpu"});
  95
  96   SUCCEED();
  97 }