[onert-micro] Add Elu kernel (#13325)

This pr adds Elu kernel. ONE-DCO-1.0-Signed-off-by: Artem Balyshev <[email protected]>
Samsung · Aug 5, 2024 · 1fff656 · 1fff656
1 parent 1341e58
commit 1fff656
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Showing 8 changed files with 458 additions and 1 deletion.
diff --git a/onert-micro/onert-micro/include/pal/common/PALElu.h b/onert-micro/onert-micro/include/pal/common/PALElu.h
@@ -0,0 +1,48 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2020 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 ONERT_MICRO_EXECUTE_PAL_ELU_COMMON_H
+#define ONERT_MICRO_EXECUTE_PAL_ELU_COMMON_H
+
+#include "core/OMKernelData.h"
+
+#include <cmath>
+
+namespace onert_micro
+{
+namespace execute
+{
+namespace pal
+{
+
+inline OMStatus Elu(const int flat_size, const float *input_data, float *output_data)
+{
+  for (int i = 0; i < flat_size; i++)
+  {
+    float val = input_data[i];
+    float result = val < 0.0f ? std::expm1(val) : val;
+    output_data[i] = result;
+  }
+
+  return Ok;
+}
+
+} // namespace pal
+} // namespace execute
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_EXECUTE_PAL_RELU_COMMON_H
diff --git a/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst b/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
@@ -24,7 +24,7 @@ REGISTER_KERNEL(EXP, Exp)
 REGISTER_KERNEL(GREATER, Greater)
 REGISTER_KERNEL(GREATER_EQUAL, GreaterEqual)
 REGISTER_KERNEL(EXPAND_DIMS, ExpandDims)
-#/*REGISTER_KERNEL(ELU, Elu)*/
+REGISTER_KERNEL(ELU, Elu)
 REGISTER_KERNEL(EQUAL, Equal)
 #/*REGISTER_KERNEL(FILL, Fill)*/
 REGISTER_KERNEL(FLOOR, Floor)

diff --git a/onert-micro/onert-micro/include/test_models/elu/FloatEluKernel.h b/onert-micro/onert-micro/include/test_models/elu/FloatEluKernel.h
@@ -0,0 +1,90 @@
+/*
+ * Copyright (c) 2024 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 ONERT_MICRO_TEST_MODELS_FLOAT_ELU_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_FLOAT_ELU_KERNEL_H
+
+#include "TestDataEluBase.h"
+
+namespace onert_micro
+{
+namespace test_model
+{
+namespace elu_float
+{
+/*
+ * Elu Kernel:
+ *
+ *      Input(1, 3, 3, 2)
+ *            |
+ *           Elu
+ *            |
+ *      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,
+  0x6f, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x6f, 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 = {-10.526339, -13.810211, -15.052563, -8.425814,  3.6157331,
+                                       6.429944,   -11.151951, 7.7377386,  -2.4822063, 0.17121133,
+                                       3.6448252,  -6.6318836, 1.5882887,  -4.6597095, 12.6291065,
+                                       -3.8438618, -2.5688074, -4.7900896};
+
+const std::vector<float> reference_output_data = {
+  -0.9999732,  -0.999999,  -0.9999997, -0.9997809,  3.6157331,  6.429944,
+  -0.99998564, 7.7377386,  -0.9164414, 0.17121133,  3.6448252,  -0.9986823,
+  1.5882887,   -0.9905308, 12.6291065, -0.97858924, -0.9233731, -0.9916883};
+
+} // namespace elu_float
+
+class TestDataFloatElu : public TestDataEluBase<float>
+{
+public:
+  TestDataFloatElu()
+  {
+    _input_data = elu_float::input_data;
+    _reference_output_data = elu_float::reference_output_data;
+    _test_kernel_model_circle = elu_float::test_kernel_model_circle;
+  }
+
+  ~TestDataFloatElu() override = default;
+};
+
+} // namespace test_model
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TEST_MODELS_FLOAT_ELU_KERNEL_H
diff --git a/onert-micro/onert-micro/include/test_models/elu/NegEluKernel.h b/onert-micro/onert-micro/include/test_models/elu/NegEluKernel.h
@@ -0,0 +1,83 @@
+/*
+ * Copyright (c) 2024 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 ONERT_MICRO_TEST_MODELS_NEG_ELU_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_NEG_ELU_KERNEL_H
+
+#include "TestDataEluBase.h"
+
+namespace onert_micro
+{
+namespace test_model
+{
+namespace neg_input_output_type_mismatch_kernel
+{
+/*
+ * Elu Kernel with input output type mismatch:
+ *
+ *      Input(1, 3, 3, 2) - Float32
+ *            |
+ *           Elu
+ *            |
+ *      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,
+  0x6f, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x6f, 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_kernel
+
+class NegTestDataInputOutputTypeMismatchEluKernel : public NegTestDataBase
+{
+public:
+  NegTestDataInputOutputTypeMismatchEluKernel()
+  {
+    _test_kernel_model_circle = neg_input_output_type_mismatch_kernel::test_kernel_model_circle;
+  }
+
+  ~NegTestDataInputOutputTypeMismatchEluKernel() 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_model
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TEST_MODELS_NEG_ELU_KERNEL_H
diff --git a/onert-micro/onert-micro/include/test_models/elu/TestDataEluBase.h b/onert-micro/onert-micro/include/test_models/elu/TestDataEluBase.h
@@ -0,0 +1,61 @@
+/*
+ * Copyright (c) 2024 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 ONERT_MICRO_TEST_MODELS_ELU_KERNEL_BASE_H
+#define ONERT_MICRO_TEST_MODELS_ELU_KERNEL_BASE_H
+
+#include "test_models/TestDataBase.h"
+#include <cassert>
+
+namespace onert_micro
+{
+namespace test_model
+{
+
+template <typename T> class TestDataEluBase : public TestDataBase<T>
+{
+public:
+  TestDataEluBase() = 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_model
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TEST_MODELS_ELU_KERNEL_BASE_H
diff --git a/onert-micro/onert-micro/src/execute/kernels/Elu.cpp b/onert-micro/onert-micro/src/execute/kernels/Elu.cpp
@@ -0,0 +1,97 @@
+/*
+ * Copyright (c) 2024 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 "OMStatus.h"
+#include "core/OMUtils.h"
+
+#include "execute/OMKernelExecutionBuilder.h"
+#include "execute/OMRuntimeKernel.h"
+
+#include "PALElu.h"
+
+using namespace onert_micro;
+using namespace onert_micro::execute;
+
+namespace
+{
+
+constexpr uint32_t inputTensorIdx = 0;
+constexpr uint32_t outputTensorIdx = 0;
+
+} // namespace
+
+// NOTE: doesnt currently support dynamic shapes
+OMStatus onert_micro::execute::execute_kernel_CircleElu(const OMExecuteArgs &execute_args)
+{
+  core::OMRuntimeContext &runtime_context = execute_args.runtime_context;
+  core::OMRuntimeStorage &runtime_storage = execute_args.runtime_storage;
+  uint16_t op_index = execute_args.kernel_index;
+
+  const circle::Tensor *input = nullptr;
+  const circle::Tensor *output = nullptr;
+
+  uint8_t *input_data = nullptr;
+  uint8_t *output_data = nullptr;
+
+  OMStatus status = Ok;
+
+  OMRuntimeKernel runtime_kernel;
+  runtime_kernel.readKernel(op_index, runtime_context);
+
+  input = runtime_kernel.inputs[inputTensorIdx];
+  output = runtime_kernel.outputs[outputTensorIdx];
+
+  assert(input != nullptr);
+  assert(output != nullptr);
+
+  status = runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
+  if (status != Ok)
+    return status;
+
+  input_data = runtime_kernel.inputs_data[inputTensorIdx];
+  output_data = runtime_kernel.outputs_data[outputTensorIdx];
+
+  assert(input_data != nullptr);
+  assert(output_data != nullptr);
+
+  switch (input->type())
+  {
+#ifndef DIS_FLOAT
+    case circle::TensorType_FLOAT32:
+    {
+      core::OMRuntimeShape input_shape(input);
+      core::OMRuntimeShape output_shape(output);
+
+      const auto *input_data_float = core::utils::castInputData<float>(input_data);
+      auto *output_data_float = core::utils::castOutputData<float>(output_data);
+
+      assert(output_data_float);
+      const int flat_size = input_shape.flatSize();
+
+      status = pal::Elu(flat_size, input_data_float, output_data_float);
+    }
+    break;
+#endif // DIS_FLOAT
+    default:
+    {
+      status = UnsupportedType;
+      assert(false && "Unsupported type.");
+      break;
+    }
+  }
+
+  return status;
+}