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+/*
+ * Copyright (c) 2019 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 __NEURUN_EXEC_INTERP_OPERATIONS_OPERATION_UTILS_H_
+#define __NEURUN_EXEC_INTERP_OPERATIONS_OPERATION_UTILS_H_
+
+#include "ir/Shape.h"
+#include "ir/InternalType.h"
+
+#include <cker/Shape.h>
+
+namespace neurun
+{
+namespace exec
+{
+namespace interp
+{
+
+inline nnfw::cker::Shape convertShape(const ir::Shape &shape)
+{
+ auto dimensions = std::vector<uint32_t>(shape.dims().begin(), shape.dims().end());
+
+ std::vector<int32_t> raw_shape;
+ raw_shape.resize(4);
+
+ for (uint32_t i = 0; i < 4; ++i)
+ {
+ if (i >= dimensions.size())
+ {
+ raw_shape[i] = 1;
+ }
+ else
+ {
+ raw_shape[i] = dimensions[i];
+ }
+ }
+
+ return nnfw::cker::GetShape(raw_shape);
+}
+
+inline nnfw::cker::Shape convertExtendShape(const ir::Shape &shape)
+{
+ auto dimensions = std::vector<uint32_t>(shape.dims().begin(), shape.dims().end());
+
+ std::vector<int32_t> raw_shape;
+ raw_shape.resize(4);
+ uint32_t start = 4 - dimensions.size();
+
+ for (uint32_t i = 0; i < 4; ++i)
+ {
+ if (i < start)
+ {
+ raw_shape[i] = 1;
+ }
+ else
+ {
+ raw_shape[i] = dimensions[i - start];
+ }
+ }
+
+ return nnfw::cker::GetShape(raw_shape);
+}
+
+template <typename T>
+void calculateActivationRange(ir::Activation activation, T *activation_min, T *activation_max)
+{
+ if (activation == ir::Activation::RELU)
+ {
+ *activation_min = 0;
+ *activation_max = std::numeric_limits<T>::max();
+ }
+ else if (activation == ir::Activation::RELU6)
+ {
+ *activation_min = 0;
+ *activation_max = 6;
+ }
+ else if (activation == ir::Activation::RELU1)
+ {
+ *activation_min = -1;
+ *activation_max = 1;
+ }
+ else if (activation == ir::Activation::NONE)
+ {
+ *activation_min = std::numeric_limits<T>::lowest();
+ *activation_max = std::numeric_limits<T>::max();
+ }
+ else
+ {
+ throw std::runtime_error{"Unsupported activation type"};
+ }
+}
+
+inline ir::Shape calcBroadcastShape(const ir::Shape &lhs, const ir::Shape &rhs, bool &success)
+{
+ int lhs_rank = lhs.rank();
+ int rhs_rank = rhs.rank();
+
+ int out_rank = (lhs_rank > rhs_rank ? lhs_rank : rhs_rank);
+ ir::Shape out_shape(out_rank);
+
+ int lhs_idim = lhs_rank - 1;
+ int rhs_idim = rhs_rank - 1;
+ success = true;
+ for (int out_idim = out_rank - 1; out_idim >= 0; out_idim--)
+ {
+ if (lhs_idim == -1 && rhs_idim == -1)
+ {
+ // invalid result
+ success = false;
+ break;
+ }
+
+ if (lhs_idim == -1)
+ {
+ out_shape.dim(out_idim) = rhs.dim(rhs_idim);
+ rhs_idim--;
+ }
+ else if (rhs_idim == -1)
+ {
+ out_shape.dim(out_idim) = lhs.dim(lhs_idim);
+ lhs_idim--;
+ }
+ else
+ {
+ if (lhs.dim(lhs_idim) == rhs.dim(rhs_idim))
+ {
+ out_shape.dim(out_idim) = lhs.dim(lhs_idim);
+ lhs_idim--;
+ rhs_idim--;
+ }
+ else if (lhs.dim(lhs_idim) == 1)
+ {
+ out_shape.dim(out_idim) = rhs.dim(rhs_idim);
+ lhs_idim--;
+ rhs_idim--;
+ }
+ else if (rhs.dim(rhs_idim) == 1)
+ {
+ out_shape.dim(out_idim) = lhs.dim(lhs_idim);
+ lhs_idim--;
+ rhs_idim--;
+ }
+ else
+ {
+ // invalid result
+ success = false;
+ break;
+ }
+ }
+ }
+
+ if (lhs_idim != -1 || rhs_idim != -1)
+ {
+ // invalid result
+ success = false;
+ }
+ return out_shape;
+}
+
+} // namespace interp
+} // namespace exec
+} // namespace neurun
+
+#endif // __NEURUN_EXEC_INTERP_OPERATIONS_OPERATION_UTILS_H_