blob: 11449e29b8424a5e2385756fd34474ec55547166 [file] [log] [blame]
//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RedefineTestHelper.hpp"
#include <armnn_delegate.hpp>
#include <flatbuffers/flatbuffers.h>
#include <tensorflow/lite/schema/schema_generated.h>
#include <doctest/doctest.h>
#include <half/half.hpp>
using Half = half_float::half;
namespace armnnDelegate
{
void ReshapeSimpleTest(std::vector<armnn::BackendId>& backends, bool useOption = true)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 3, 2, 2 };
std::vector<int32_t> targetShape { 1, 3, 2, 2 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
RedefineTest<float>(tflite::BuiltinOperator_RESHAPE,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
targetShape,
useOption);
}
using namespace half_float::literal;
void ReshapeSimpleFloat16Test(std::vector<armnn::BackendId>& backends, bool useOption = true)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 3, 2, 2 };
std::vector<int32_t> targetShape { 1, 3, 2, 2 };
std::vector<Half> inputValues = { 5._h, -8._h, -10._h, 7._h,
8._h, 12._h, -15._h, 2._h,
3._h, -4._h, -1._h, -11._h };
std::vector<Half> expectedOutputValues = { 5._h, -8._h, -10._h, 7._h,
8._h, 12._h, -15._h, 2._h,
3._h, -4._h, -1._h, -11._h };
RedefineTest<Half>(tflite::BuiltinOperator_RESHAPE,
::tflite::TensorType_FLOAT16,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
targetShape,
useOption);
}
void ReshapeReduceDimTest(std::vector<armnn::BackendId>& backends, bool useOption = true)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 4, 3 };
std::vector<int32_t> targetShape { 1, 4, 3 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
RedefineTest<float>(tflite::BuiltinOperator_RESHAPE,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
targetShape,
useOption);
}
void ReshapeFlattenTest(std::vector<armnn::BackendId>& backends, bool useOption = true)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 6, 2 };
std::vector<int32_t> targetShape { -1, 2 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
RedefineTest<float>(tflite::BuiltinOperator_RESHAPE,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
targetShape,
useOption);
}
void ReshapeFlattenAllTest(std::vector<armnn::BackendId>& backends, bool useOption = true)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 12 };
std::vector<int32_t> targetShape { -1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
RedefineTest<float>(tflite::BuiltinOperator_RESHAPE,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
targetShape,
useOption);
}
void ReshapeInt8Test(std::vector<armnn::BackendId>& backends, bool useOption = true)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 6, 2 };
std::vector<int32_t> targetShape { -1, 2 };
std::vector<int8_t> inputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
std::vector<int8_t> expectedOutputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
RedefineTest<int8_t>(tflite::BuiltinOperator_RESHAPE,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
targetShape,
useOption,
2.5f,
1);
}
void ReshapeUint8Test(std::vector<armnn::BackendId>& backends, bool useOption = true)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 6, 2 };
std::vector<int32_t> targetShape { -1, 2 };
std::vector<uint8_t> inputValues = { 5, 8, 10, 7,
8, 12, 15, 2,
3, 4, 1, 11 };
std::vector<uint8_t> expectedOutputValues = { 5, 8, 10, 7,
8, 12, 15, 2,
3, 4, 1, 11 };
RedefineTest<uint8_t>(tflite::BuiltinOperator_RESHAPE,
::tflite::TensorType_UINT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
targetShape,
useOption,
2.5f,
1);
}
void ReshapeInt16Test(std::vector<armnn::BackendId>& backends, bool useOption = true)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 6, 2 };
std::vector<int32_t> targetShape { -1, 2 };
std::vector<int16_t> inputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
std::vector<int16_t> expectedOutputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
RedefineTest<int16_t>(tflite::BuiltinOperator_RESHAPE,
::tflite::TensorType_INT16,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
targetShape,
useOption,
2.5f,
0);
}
TEST_SUITE("Reshape_GpuAccTests")
{
TEST_CASE ("Reshape_Simple_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeSimpleTest(backends);
}
TEST_CASE ("Reshape_ReduceDimension_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeReduceDimTest(backends);
}
TEST_CASE ("Reshape_Flatten_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeFlattenTest(backends);
}
TEST_CASE ("Reshape_FlattenAll_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeFlattenAllTest(backends);
}
TEST_CASE ("Reshape_Int8_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeInt8Test(backends);
}
TEST_CASE ("Reshape_Uint8_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeUint8Test(backends);
}
TEST_CASE ("Reshape_Float16_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeSimpleFloat16Test(backends);
}
TEST_CASE ("Reshape_Simple_ShapeTensor_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeSimpleTest(backends, false);
}
TEST_CASE ("Reshape_ReduceDimension_ShapeTensor_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeReduceDimTest(backends, false);
}
TEST_CASE ("Reshape_Flatten_ShapeTensor_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeFlattenTest(backends, false);
}
TEST_CASE ("Reshape_FlattenAll_ShapeTensor_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeFlattenAllTest(backends, false);
}
TEST_CASE ("Reshape_Int8_ShapeTensor_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeInt8Test(backends, false);
}
TEST_CASE ("Reshape_Uint8_ShapeTensor_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeUint8Test(backends, false);
}
TEST_CASE ("Reshape_Float16_ShapeTensor_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReshapeSimpleFloat16Test(backends, false);
}
} // TEST_SUITE("Reshape_GpuAccTests")
TEST_SUITE("Reshape_CpuAccTests")
{
TEST_CASE ("Reshape_Simple_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeSimpleTest(backends);
}
TEST_CASE ("Reshape_ReduceDimension_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeReduceDimTest(backends);
}
TEST_CASE ("Reshape_Flatten_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeFlattenTest(backends);
}
TEST_CASE ("Reshape_FlattenAll_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeFlattenAllTest(backends);
}
TEST_CASE ("Reshape_Int8_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeInt8Test(backends);
}
TEST_CASE ("Reshape_Uint8_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeUint8Test(backends);
}
TEST_CASE ("Reshape_Float16_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeSimpleFloat16Test(backends);
}
TEST_CASE ("Reshape_Simple_ShapeTensor_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeSimpleTest(backends, false);
}
TEST_CASE ("Reshape_ReduceDimension_ShapeTensor_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeReduceDimTest(backends, false);
}
TEST_CASE ("Reshape_Flatten_ShapeTensor_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeFlattenTest(backends, false);
}
TEST_CASE ("Reshape_FlattenAll_ShapeTensor_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeFlattenAllTest(backends, false);
}
TEST_CASE ("Reshape_Int8_ShapeTensor_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeInt8Test(backends, false);
}
TEST_CASE ("Reshape_Uint8_ShapeTensor_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeUint8Test(backends, false);
}
TEST_CASE ("Reshape_Float16_ShapeTensor_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReshapeSimpleFloat16Test(backends, false);
}
} // TEST_SUITE("Reshape_CpuAccTests")
TEST_SUITE("Reshape_CpuRefTests")
{
TEST_CASE ("Reshape_Simple_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeSimpleTest(backends);
}
TEST_CASE ("Reshape_ReduceDimension_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeReduceDimTest(backends);
}
TEST_CASE ("Reshape_Flatten_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeFlattenTest(backends);
}
TEST_CASE ("Reshape_FlattenAll_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeFlattenAllTest(backends);
}
TEST_CASE ("Reshape_Int8_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeInt8Test(backends);
}
TEST_CASE ("Reshape_Uint8_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeUint8Test(backends);
}
TEST_CASE ("Reshape_Int16_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeInt16Test(backends);
}
TEST_CASE ("Reshape_Float16_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeSimpleFloat16Test(backends);
}
TEST_CASE ("Reshape_Simple_ShapeTensor_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeSimpleTest(backends, false);
}
TEST_CASE ("Reshape_ReduceDimension_ShapeTensor_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeReduceDimTest(backends, false);
}
TEST_CASE ("Reshape_Flatten_ShapeTensor_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeFlattenTest(backends, false);
}
TEST_CASE ("Reshape_FlattenAll_ShapeTensor_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeFlattenAllTest(backends, false);
}
TEST_CASE ("Reshape_Int8_ShapeTensor_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeInt8Test(backends, false);
}
TEST_CASE ("Reshape_Uint8_ShapeTensor_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeUint8Test(backends, false);
}
TEST_CASE ("Reshape_Int16_ShapeTensor_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeInt16Test(backends, false);
}
TEST_CASE ("Reshape_Float16_ShapeTensor_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReshapeSimpleFloat16Test(backends, false);
}
} // TEST_SUITE("Reshape_CpuRefTests")
} // namespace armnnDelegate