Skip to content

Commit

Permalink
[onert-micro] Add float LogSoftmax kernels (#11624)
Browse files Browse the repository at this point in the history
This commit adds float LogSoftmax kernels for onert-micro.

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

Co-authored-by: Artem Balyshev <[email protected]>
  • Loading branch information
BalyshevArtem and Artem Balyshev authored Oct 2, 2023
1 parent a8fc9b2 commit e2e3525
Show file tree
Hide file tree
Showing 9 changed files with 379 additions and 189 deletions.
Original file line number Diff line number Diff line change
@@ -0,0 +1,89 @@
/*
* 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_LOG_SOFTMAX_KERNEL_H
#define LUCI_INTERPRETER_TEST_MODELS_FLOAT_LOG_SOFTMAX_KERNEL_H

#include "TestDataLogSoftmaxBase.h"

namespace luci_interpreter
{
namespace test_kernel
{
namespace log_softmax_float
{
/*
* LogSoftmax Kernel:
*
* Input(1, 3, 3, 2)
* |
* LogSoftmax
* |
* 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,
0x28, 0x00, 0x00, 0x00, 0x24, 0x01, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x14, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff,
0x90, 0xff, 0xff, 0xff, 0x94, 0xff, 0xff, 0xff, 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, 0x5c, 0x00, 0x00, 0x00,
0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e,
0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x24, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
0x04, 0x00, 0x04, 0x00, 0x04, 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,
0x32, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x32, 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 = {
-98.99295, 67.388435, 48.43881, -61.26518, 35.86871, 22.69142, -61.265385, -87.11669, -20.316734,
50.533947, -93.46988, 75.58928, -36.26448, 96.57878, 63.916878, -87.25623, 30.606735, 65.762665};
const std::vector<float> reference_output_data = {
-166.38138, 0.0, 0.0, -109.70399, -1.9073468e-06, -13.177292,
0.0, -25.851307, -70.85068, 0.0, -169.05916, 0.0,
-132.84326, 0.0, 0.0, -151.17311, -35.15593, 0.0};

} // namespace log_softmax_float

class TestDataFloatLogSoftmax : public TestDataLogSoftmaxBase<float>
{
public:
TestDataFloatLogSoftmax()
{
_input_data = log_softmax_float::input_data;
_reference_output_data = log_softmax_float::reference_output_data;
_test_kernel_model_circle = log_softmax_float::test_kernel_model_circle;
}

~TestDataFloatLogSoftmax() override = default;
};

} // namespace test_kernel
} // namespace luci_interpreter

#endif // LUCI_INTERPRETER_TEST_MODELS_FLOAT_LOG_SOFTMAX_KERNEL_H
Original file line number Diff line number Diff line change
@@ -0,0 +1,86 @@
/*
* 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_LOG_SOFTMAX_KERNEL_H
#define LUCI_INTERPRETER_TEST_MODELS_NEG_LOG_SOFTMAX_KERNEL_H

#include "luci_interpreter/test_models/TestDataBase.h"

namespace luci_interpreter
{
namespace test_kernel
{
namespace neg_input_output_type_mismatch_log_softmax_kernel
{
/*
* LogSoftmax Kernel with input output type mismatch:
*
* Input(1, 3, 3, 2) - Float32
* |
* LogSoftmax
* |
* 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,
0x28, 0x00, 0x00, 0x00, 0x34, 0x01, 0x00, 0x00, 0x50, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x14, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff,
0x90, 0xff, 0xff, 0xff, 0x94, 0xff, 0xff, 0xff, 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, 0x5c, 0x00, 0x00, 0x00,
0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e,
0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x24, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
0x04, 0x00, 0x04, 0x00, 0x04, 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,
0x32, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x32, 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_log_softmax_kernel

class NegTestDataInputOutputTypeMismatchLogSoftmaxKernel : public NegTestDataBase
{
public:
NegTestDataInputOutputTypeMismatchLogSoftmaxKernel()
{
_test_kernel_model_circle =
neg_input_output_type_mismatch_log_softmax_kernel::test_kernel_model_circle;
}

~NegTestDataInputOutputTypeMismatchLogSoftmaxKernel() 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_LOG_SOFTMAX_KERNEL_H
Original file line number Diff line number Diff line change
@@ -0,0 +1,60 @@
/*
* 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_LOG_SOFTMAX_KERNEL_BASE_H
#define LUCI_INTERPRETER_TEST_MODELS_LOG_SOFTMAX_KERNEL_BASE_H

#include "luci_interpreter/test_models/TestDataBase.h"

namespace luci_interpreter
{
namespace test_kernel
{

template <typename T> class TestDataLogSoftmaxBase : public TestDataBase<T>
{
public:
TestDataLogSoftmaxBase() = 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_LOG_SOFTMAX_KERNEL_BASE_H
Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,7 @@ REGISTER_KERNEL(LESS_EQUAL, LessEqual)
REGISTER_KERNEL(LOGICAL_AND, LogicalAnd)
REGISTER_KERNEL(LOGICAL_OR, LogicalOr)
REGISTER_KERNEL(LEAKY_RELU, LeakyRelu)
REGISTER_KERNEL(LOG_SOFTMAX, LogSoftmax)
REGISTER_KERNEL(MUL, Mul)
REGISTER_KERNEL(MAX_POOL_2D, MaxPool2D)
REGISTER_KERNEL(CONCATENATION, Concatenation)
Expand Down
65 changes: 65 additions & 0 deletions onert-micro/luci-interpreter/pal/common/PALLogSoftmax.h
Original file line number Diff line number Diff line change
@@ -0,0 +1,65 @@
/*
* Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2021 The TensorFlow Authors. 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_LOG_SOFTMAX_COMMON_H
#define LUCI_INTERPRETER_PAL_LOG_SOFTMAX_COMMON_H

#include "PALUtils.h"

#include <cmath>

namespace luci_interpreter_pal
{

inline void LogSoftmax(const luci_interpreter::RuntimeShape &input_shape, const float *input_data,
const luci_interpreter::RuntimeShape &output_shape, float *output_data)
{
const int trailing_dim = input_shape.dimensionsCount() - 1;
const int outer_size =
flatSizeSkipDim(input_shape.dimsData(), trailing_dim, input_shape.dimensionsCount());
const int depth = MatchingDim(input_shape, trailing_dim, output_shape, trailing_dim);

for (int i = 0; i < outer_size; ++i)
{
// Find max element value which we'll use to ensure numerical stability
// taking advantage of the following equality:
// log(exp(x[i])/sum(exp(x[i]))) == log(exp(x[i]+C)/sum(exp(x[i]+C)))
float max = std::numeric_limits<float>::lowest();
for (int c = 0; c < depth; ++c)
{
max = std::max(max, input_data[i * depth + c]);
}

// Compute sum.
float sum = 0.f;
for (int c = 0; c < depth; ++c)
{
sum += std::exp(input_data[i * depth + c] - max);
}

// Compute result.
const float log_sum = std::log(sum);
for (int c = 0; c < depth; ++c)
{
output_data[i * depth + c] = input_data[i * depth + c] - max - log_sum;
}
}
}

} // namespace luci_interpreter_pal

#endif // LUCI_INTERPRETER_PAL_LOG_SOFTMAX_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 @@ -38,6 +38,7 @@ REGISTER_KERNEL(LESS_EQUAL, LessEqual)
REGISTER_KERNEL(LOGICAL_AND, LogicalAnd)
REGISTER_KERNEL(LOGICAL_OR, LogicalOr)
REGISTER_KERNEL(LEAKY_RELU, LeakyRelu)
REGISTER_KERNEL(LOG_SOFTMAX, LogSoftmax)
REGISTER_KERNEL(MUL, Mul)
REGISTER_KERNEL(MAX_POOL_2D, MaxPool2D)
REGISTER_KERNEL(MINIMUM, Minimum)
Expand Down
Loading

0 comments on commit e2e3525

Please sign in to comment.