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+/*
+ * 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.
+ */
+
+#ifndef __NEURUN_BACKEND_CPU_OPERAND_TENSOR_H__
+#define __NEURUN_BACKEND_CPU_OPERAND_TENSOR_H__
+
+#include <arm_compute/core/ITensor.h>
+#include <arm_compute/core/TensorInfo.h>
+
+namespace neurun
+{
+namespace backend
+{
+namespace cpu
+{
+namespace operand
+{
+
+class Tensor : public ::arm_compute::ITensor
+{
+public:
+ Tensor() = default;
+
+ Tensor(::arm_compute::TensorInfo info) : _info(info)
+ {
+ // TODO Do not allocate buffer here. This tensor is just an abstract Tensor object for cpu.
+ uint32_t size = _info.total_size(); // NOTE This size may not be accurate
+ _buffer = new uint8_t[size]; // NOTE The allocated buffer is never deallocated.
+ }
+
+ Tensor(uint8_t *buffer) : _buffer(buffer)
+ {
+ // DO NOTHING
+ }
+
+public:
+ void setBuffer(uint8_t *buffer) { _buffer = buffer; }
+
+public:
+ ::arm_compute::TensorInfo *info() const override
+ {
+ return const_cast<::arm_compute::TensorInfo *>(&_info);
+ }
+
+ ::arm_compute::TensorInfo *info() override { return &_info; }
+
+ uint8_t *buffer() const override { return _buffer; }
+
+private:
+ ::arm_compute::TensorInfo _info;
+ uint8_t *_buffer = nullptr;
+};
+
+} // namespace operand
+} // namespace cpu
+} // namespace backend
+} // namespace neurun
+
+#endif // __NEURUN_BACKEND_CPU_OPERAND_TENSOR_H__