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Diffstat (limited to 'runtime/onert/core/src/ir/Operand.cc')
-rw-r--r-- | runtime/onert/core/src/ir/Operand.cc | 61 |
1 files changed, 61 insertions, 0 deletions
diff --git a/runtime/onert/core/src/ir/Operand.cc b/runtime/onert/core/src/ir/Operand.cc new file mode 100644 index 000000000..39f9d6c90 --- /dev/null +++ b/runtime/onert/core/src/ir/Operand.cc @@ -0,0 +1,61 @@ +/* + * Copyright (c) 2018 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 "ir/Operand.h" + +namespace onert +{ +namespace ir +{ + +size_t Operand::operandSize(void) const +{ + const uint32_t ranks = shape().rank(); + int32_t elements = 1; + + for (uint32_t rank = 0; rank < ranks; rank++) + { + elements *= shape().dim(rank); + } + + DataType type = typeInfo().type(); + size_t element_size = sizeOfDataType(type); + + // Value of type is matched with OperandCode enum in NeuralNetworks.h + return element_size * elements; +} + +void Operand::appendUse(const OperationIndex &idx) { _uses.append(idx); } + +void Operand::removeUse(const OperationIndex &idx) { _uses.remove(idx); } + +void Operand::appendDef(const OperationIndex &idx) +{ + assert(!isConstant()); + assert(_def.size() == 0); + + _def.append(idx); +} + +void Operand::removeDef(const OperationIndex &idx) +{ + assert(_def.contains(idx)); + + _def.remove(idx); +} + +} // namespace ir +} // namespace onert |