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[onert-micro] Add float Round kernels (#11625)
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This commit adds float Round kernels for onert-micro.

ONE-DCO-1.0-Signed-off-by: Artem Balyshev <[email protected]>

Co-authored-by: Artem Balyshev <[email protected]>
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BalyshevArtem and Artem Balyshev authored Oct 2, 2023
1 parent e2e3525 commit 34c7b03
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/*
* Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/

#ifndef LUCI_INTERPRETER_TEST_MODELS_FLOAT_ROUND_KERNEL_H
#define LUCI_INTERPRETER_TEST_MODELS_FLOAT_ROUND_KERNEL_H

#include "TestDataRoundBase.h"

namespace luci_interpreter
{
namespace test_kernel
{
namespace round_float
{
/*
* Round Kernel:
*
* Input(1, 3, 3, 2)
* |
* Round
* |
* Output(1, 3, 3, 2)
*/
const unsigned char test_kernel_model_circle[] = {
0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x2c, 0x00, 0x00, 0x00, 0x14, 0x01, 0x00, 0x00, 0x30, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00,
0x04, 0x00, 0x00, 0x00, 0xd4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
0x74, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x74, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};

const std::vector<float> input_data = {-80.601204, 72.38307, -22.146687, 2.6873038, -7.440473,
27.860895, -79.27248, -61.29374, 90.22741, 89.19607,
31.390116, 50.23514, 60.073032, 61.747887, -72.03697,
96.049965, 88.859566, -68.925575};

const std::vector<float> reference_output_data = {-81.0, 72.0, -22.0, 3.0, -7.0, 28.0,
-79.0, -61.0, 90.0, 89.0, 31.0, 50.0,
60.0, 62.0, -72.0, 96.0, 89.0, -69.0};

} // namespace round_float

class TestDataFloatRound : public TestDataRoundBase<float>
{
public:
TestDataFloatRound()
{
_input_data = round_float::input_data;
_reference_output_data = round_float::reference_output_data;
_test_kernel_model_circle = round_float::test_kernel_model_circle;
}

~TestDataFloatRound() override = default;
};

} // namespace test_kernel
} // namespace luci_interpreter

#endif // LUCI_INTERPRETER_TEST_MODELS_FLOAT_ROUND_KERNEL_H
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/*
* Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/

#ifndef LUCI_INTERPRETER_TEST_MODELS_NEG_ROUND_KERNEL_H
#define LUCI_INTERPRETER_TEST_MODELS_NEG_ROUND_KERNEL_H

#include "luci_interpreter/test_models/TestDataBase.h"

namespace luci_interpreter
{
namespace test_kernel
{
namespace neg_input_output_type_mismatch_round_kernel
{
/*
* Round Kernel with input output type mismatch:
*
* Input(1, 3, 3, 2) - Float32
* |
* Round
* |
* Output(1, 3, 3, 2) - Int32
*/
const unsigned char test_kernel_model_circle[] = {
0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x2c, 0x00, 0x00, 0x00, 0x24, 0x01, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00,
0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00,
0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02,
0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
0x74, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x74, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};

} // namespace neg_input_output_type_mismatch_round_kernel

class NegTestDataInputOutputTypeMismatchRoundKernel : public NegTestDataBase
{
public:
NegTestDataInputOutputTypeMismatchRoundKernel()
{
_test_kernel_model_circle =
neg_input_output_type_mismatch_round_kernel::test_kernel_model_circle;
}

~NegTestDataInputOutputTypeMismatchRoundKernel() override = default;

const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }

protected:
const unsigned char *_test_kernel_model_circle;
};

} // namespace test_kernel
} // namespace luci_interpreter

#endif // LUCI_INTERPRETER_TEST_MODELS_NEG_ROUND_KERNEL_H
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/*
* Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/

#ifndef LUCI_INTERPRETER_TEST_MODELS_TANH_KERNEL_BASE_H
#define LUCI_INTERPRETER_TEST_MODELS_TANH_KERNEL_BASE_H

#include "luci_interpreter/test_models/TestDataBase.h"

namespace luci_interpreter
{
namespace test_kernel
{

template <typename T> class TestDataRoundBase : public TestDataBase<T>
{
public:
TestDataRoundBase() = default;

const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }

const std::vector<T> &get_input_data_by_index(int i) override final
{
switch (i)
{
case 0:
return _input_data;
default:
assert(false && "Wrong input index");
}
}

const std::vector<T> &get_output_data_by_index(int i) override final
{
assert(i == 0);
return _reference_output_data;
}

protected:
std::vector<T> _input_data;
std::vector<T> _reference_output_data;
const unsigned char *_test_kernel_model_circle;
};

} // namespace test_kernel
} // namespace luci_interpreter

#endif // LUCI_INTERPRETER_TEST_MODELS_ROUND_KERNEL_BASE_H
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@ REGISTER_KERNEL(RESHAPE, Reshape)
REGISTER_KERNEL(RELU, Relu)
REGISTER_KERNEL(RELU6, Relu6)
REGISTER_KERNEL(REDUCE_PROD, ReduceCommon)
REGISTER_KERNEL(ROUND, Round)
REGISTER_KERNEL(LESS, Less)
REGISTER_KERNEL(L2_NORMALIZATION, L2Normalize)
REGISTER_KERNEL(LESS_EQUAL, LessEqual)
Expand Down
51 changes: 51 additions & 0 deletions onert-micro/luci-interpreter/pal/common/PALRound.h
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/*
* Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/

#ifndef LUCI_INTERPRETER_PAL_ROUND_COMMON_H
#define LUCI_INTERPRETER_PAL_ROUND_COMMON_H

namespace luci_interpreter_pal
{

inline float RoundToNearest(float value)
{
auto floor_val = std::floor(value);
auto diff = value - floor_val;
if ((diff < 0.5f) || ((diff == 0.5f) && (static_cast<int>(floor_val) % 2 == 0)))
{
return floor_val;
}
else
{
return floor_val + 1.0f;
}
}

inline void Round(const int32_t flat_size, const float *input_data, float *output_data)
{
for (int i = 0; i < flat_size; ++i)
{
// Note that this implementation matches that of tensorFlow tf.round
// and corresponds to the bankers rounding method.
// cfenv (for fesetround) is not yet supported universally on Android, so
// using a work around.
output_data[i] = RoundToNearest(input_data[i]);
}
}

} // namespace luci_interpreter_pal

#endif // LUCI_INTERPRETER_PAL_ROUND_COMMON_H
1 change: 1 addition & 0 deletions onert-micro/luci-interpreter/pal/mcu/KernelsToBuild.lst
Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@ REGISTER_KERNEL(RESHAPE, Reshape)
REGISTER_KERNEL(RELU, Relu)
REGISTER_KERNEL(RELU6, Relu6)
REGISTER_KERNEL(REDUCE_PROD, ReduceCommon)
REGISTER_KERNEL(ROUND, Round)
REGISTER_KERNEL(LESS, Less)
REGISTER_KERNEL(L2_NORMALIZATION, L2Normalize)
REGISTER_KERNEL(LESS_EQUAL, LessEqual)
Expand Down
77 changes: 77 additions & 0 deletions onert-micro/luci-interpreter/src/kernels/Round.cpp
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@@ -0,0 +1,77 @@
/*
* Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/

#include "Builders.h"
#include "kernels/Utils.h"
#include "SISOKernel.h"

#include "PALRound.h"

namespace luci_interpreter
{

void configure_kernel_CircleRound(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
kernels::SISOKernel kernel(cur_op, runtime_graph);

LUCI_INTERPRETER_CHECK(Tensor::element_type(kernel.input()) ==
Tensor::element_type(kernel.output()));
LUCI_INTERPRETER_CHECK(Tensor::num_elements(kernel.input()) ==
Tensor::num_elements(kernel.output()));
LUCI_INTERPRETER_CHECK(Tensor::num_dims(kernel.input()) == Tensor::num_dims(kernel.output()));
}

void execute_kernel_CircleRound(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
kernels::SISOKernel kernel(cur_op, runtime_graph);

const auto *input_data = runtime_graph->getDataByTensor(kernel.input());
assert(input_data);

auto *output_data = runtime_graph->getDataByTensor(kernel.output());

bool is_inplace = runtime_graph->is_inplace_op(cur_op);

switch (Tensor::element_type(kernel.input()))
{
#ifndef DIS_FLOAT
case DataType::FLOAT32:
{
const float *input_data_float = kernels::getTensorData<float>(input_data);
float *output_data_float = kernels::getTensorData<float>(output_data);
if (is_inplace)
{
output_data_float = const_cast<float *>(input_data_float);
}

assert(output_data_float);

const int flat_size =
kernels::getTensorRuntimeShape(kernel.input(), runtime_graph).flatSize();

luci_interpreter_pal::Round(flat_size, input_data_float, output_data_float);
break;
}
#endif // DIS_FLOAT
default:
assert(false && "Unsupported type");
}

if (is_inplace)
runtime_graph->makeInplaceOperation(kernel.input(), kernel.output());
}

} // namespace luci_interpreter
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