onert-micro/luci-interpreter/src/kernels/SpaceToBatchND.test.cpp

   1 /*
   2  * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
   3  * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
   4  *
   5  * Licensed under the Apache License, Version 2.0 (the "License");
   6  * you may not use this file except in compliance with the License.
   7  * You may obtain a copy of the License at
   8  *
   9  *    http://www.apache.org/licenses/LICENSE-2.0
  10  *
  11  * Unless required by applicable law or agreed to in writing, software
  12  * distributed under the License is distributed on an "AS IS" BASIS,
  13  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  14  * See the License for the specific language governing permissions and
  15  * limitations under the License.
  16  */
  17
  18 #include "kernels/SpaceToBatchND.h"
  19 #include "kernels/TestUtils.h"
  20 #include "luci_interpreter/TestMemoryManager.h"
  21
  22 namespace luci_interpreter
  23 {
  24 namespace kernels
  25 {
  26 namespace
  27 {
  28
  29 using namespace testing;
  30
  31 template <typename T>
  32 void Check(std::initializer_list<int32_t> input_shape,
  33            std::initializer_list<int32_t> block_shape_shape,
  34            std::initializer_list<int32_t> paddings_shape,
  35            std::initializer_list<int32_t> output_shape, std::initializer_list<float> input_data,
  36            std::initializer_list<int32_t> block_shape_data,
  37            std::initializer_list<int32_t> paddings_data, std::initializer_list<float> output_data)
  38 {
  39   std::unique_ptr<IMemoryManager> memory_manager = std::make_unique<TestMemoryManager>();
  40   constexpr DataType element_type = getElementType<T>();
  41   Tensor input_tensor =
  42     makeInputTensor<element_type>(input_shape, input_data, memory_manager.get());
  43   Tensor block_shape_tensor =
  44     makeInputTensor<DataType::S32>(block_shape_shape, block_shape_data, memory_manager.get());
  45   Tensor paddings_tensor =
  46     makeInputTensor<DataType::S32>(paddings_shape, paddings_data, memory_manager.get());
  47   Tensor output_tensor = makeOutputTensor(element_type);
  48
  49   SpaceToBatchND kernel(&input_tensor, &block_shape_tensor, &paddings_tensor, &output_tensor);
  50   kernel.configure();
  51   memory_manager->allocate_memory(output_tensor);
  52   kernel.execute();
  53
  54   EXPECT_THAT(extractTensorData<T>(output_tensor), ::testing::ElementsAreArray(output_data));
  55   EXPECT_THAT(extractTensorShape(output_tensor), output_shape);
  56 }
  57
  58 template <>
  59 void Check<uint8_t>(
  60   std::initializer_list<int32_t> input_shape, std::initializer_list<int32_t> block_shape_shape,
  61   std::initializer_list<int32_t> paddings_shape, std::initializer_list<int32_t> output_shape,
  62   std::initializer_list<float> input_data, std::initializer_list<int32_t> block_shape_data,
  63   std::initializer_list<int32_t> paddings_data, std::initializer_list<float> output_data)
  64 {
  65   std::unique_ptr<IMemoryManager> memory_manager = std::make_unique<TestMemoryManager>();
  66
  67   std::pair<float, int32_t> input_quant_param =
  68     quantizationParams<uint8_t>(std::min(input_data), std::max(input_data));
  69   Tensor input_tensor =
  70     makeInputTensor<DataType::U8>(input_shape, input_quant_param.first, input_quant_param.second,
  71                                   input_data, memory_manager.get());
  72   Tensor block_shape_tensor =
  73     makeInputTensor<DataType::S32>(block_shape_shape, block_shape_data, memory_manager.get());
  74   Tensor paddings_tensor =
  75     makeInputTensor<DataType::S32>(paddings_shape, paddings_data, memory_manager.get());
  76   Tensor output_tensor =
  77     makeOutputTensor(DataType::U8, input_quant_param.first, input_quant_param.second);
  78
  79   SpaceToBatchND kernel(&input_tensor, &block_shape_tensor, &paddings_tensor, &output_tensor);
  80   kernel.configure();
  81   memory_manager->allocate_memory(output_tensor);
  82   kernel.execute();
  83
  84   EXPECT_THAT(dequantizeTensorData(output_tensor),
  85               FloatArrayNear(output_data, output_tensor.scale()));
  86   EXPECT_THAT(extractTensorShape(output_tensor), output_shape);
  87 }
  88
  89 template <typename T> class SpaceToBatchNDTest : public ::testing::Test
  90 {
  91 };
  92
  93 using DataTypes = ::testing::Types<float, uint8_t>;
  94 TYPED_TEST_SUITE(SpaceToBatchNDTest, DataTypes);
  95
  96 TYPED_TEST(SpaceToBatchNDTest, Simple)
  97 {
  98   Check<TypeParam>(/*input_shape=*/{1, 5, 2, 1}, /*block_shape_shape=*/{2},
  99                    /*paddings_shape=*/{2, 2},
 100                    /*output_shape=*/{6, 2, 2, 1},
 101                    /*input_data=*/{-1.0, 0.2, -0.3, 0.4, -0.5, 0.6, -0.7, 0.8, -0.9, 1.0},
 102                    /*block_shape_data=*/{3, 2}, /*paddings_data=*/{1, 0, 2, 0},
 103                    /*output_data=*/{0, 0,   0, -0.5, 0, 0,    0, 0.6,  0, -1.0, 0, -0.7,
 104                                     0, 0.2, 0, 0.8,  0, -0.3, 0, -0.9, 0, 0.4,  0, 1.0});
 105 }
 106
 107 TEST(SpaceToBatchNDTest, Invalid_Shape_NEG)
 108 {
 109   std::unique_ptr<IMemoryManager> memory_manager = std::make_unique<TestMemoryManager>();
 110
 111   Tensor input_tensor = makeInputTensor<DataType::FLOAT32>(
 112     {1, 3, 3, 1}, {1, 2, 3, 4, 5, 6, 7, 8, 9}, memory_manager.get());
 113   Tensor block_shape_tensor = makeInputTensor<DataType::S32>({2}, {2, 2}, memory_manager.get());
 114   Tensor paddings_tensor =
 115     makeInputTensor<DataType::S32>({2, 2}, {0, 0, 0, 0}, memory_manager.get());
 116   Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
 117
 118   SpaceToBatchND kernel(&input_tensor, &block_shape_tensor, &paddings_tensor, &output_tensor);
 119   EXPECT_ANY_THROW(kernel.configure());
 120 }
 121
 122 } // namespace
 123 } // namespace kernels
 124 } // namespace luci_interpreter