1 files changed, 0 insertions, 196 deletions
diff --git a/libs/kernel/acl/src/IO_accessor.h b/libs/kernel/acl/src/IO_accessor.h
deleted file mode 100644
index e7670f15c..000000000
--- a/libs/kernel/acl/src/IO_accessor.h
+++ /dev/null
@@ -1,196 +0,0 @@
-/*
- * 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 __NNFW_KERNEL_ACL_IO_ACCESSOR_H__
-#define __NNFW_KERNEL_ACL_IO_ACCESSOR_H__
-
-#include <arm_compute/graph/ITensorAccessor.h>
-#include <arm_compute/runtime/CL/CLFunctions.h>
-#include <arm_compute/runtime/NEON/NEFunctions.h>
-
-#include <OperationsUtils.h> // for nnfw::rt::Shape
-
-namespace nnfw {
-namespace kernel {
-namespace acl {
-
-class InputAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    InputAccessor(const float* inputData, const nnfw::rt::Shape& inputShape);
-    InputAccessor(InputAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    const float* _inputData;
-    const nnfw::rt::Shape& _inputShape;
-};
-
-class MatrixInputAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    MatrixInputAccessor(const float* inputData, const nnfw::rt::Shape& inputShape);
-    MatrixInputAccessor(MatrixInputAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    const float* _inputData;
-    const nnfw::rt::Shape& _inputShape;
-};
-
-class VectorInputAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    VectorInputAccessor(const float* inputData, const nnfw::rt::Shape& inputShape);
-    VectorInputAccessor(VectorInputAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    const float* _inputData;
-    const nnfw::rt::Shape& _inputShape;
-};
-
-class WeightAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    WeightAccessor(const float* filterData, const nnfw::rt::Shape& filterShape);
-    WeightAccessor(WeightAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    const float* _filterData;
-    const nnfw::rt::Shape& _filterShape;
-};
-
-class MatrixWeightAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    MatrixWeightAccessor(const float* filterData, const nnfw::rt::Shape& filterShape);
-    MatrixWeightAccessor(MatrixWeightAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    const float* _filterData;
-    const nnfw::rt::Shape& _filterShape;
-};
-
-class BiasAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    BiasAccessor(const float* biasData, const nnfw::rt::Shape& biasShape);
-    BiasAccessor(BiasAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    const float* _biasData;
-    const nnfw::rt::Shape& _biasShape;
-};
-
-class OutputAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    OutputAccessor(float* outputData, const nnfw::rt::Shape& outputShape);
-    OutputAccessor(OutputAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    float* _outputData;
-    const nnfw::rt::Shape& _outputShape;
-};
-
-class MatrixOutputAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    MatrixOutputAccessor(float* outputData, const nnfw::rt::Shape& outputShape);
-    MatrixOutputAccessor(MatrixOutputAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    float* _outputData;
-    const nnfw::rt::Shape& _outputShape;
-};
-
-class VectorOutputAccessor : public arm_compute::graph::ITensorAccessor
-{
-public:
-    VectorOutputAccessor(float* outputData, const nnfw::rt::Shape& outputShape);
-    VectorOutputAccessor(VectorOutputAccessor&&) = default;
-
-    // Inherited methods overriden:
-    bool access_tensor(arm_compute::ITensor& tensor) override;
-
-private:
-    float* _outputData;
-    const nnfw::rt::Shape& _outputShape;
-};
-
-template<typename AccessorType>
-inline void TensorAccess(arm_compute::CLTensor& tensor, const float* data,
-                         const nnfw::rt::Shape& shape)
-{
-  tensor.map();
-  AccessorType accessor(data, shape);
-  accessor.access_tensor(tensor);
-  tensor.unmap();
-}
-
-template<typename AccessorType>
-inline void TensorAccess(arm_compute::CLTensor& tensor, float* data,
-                         const nnfw::rt::Shape& shape)
-{
-  tensor.map();
-  AccessorType accessor(data, shape);
-  accessor.access_tensor(tensor);
-  tensor.unmap();
-}
-
-template<typename AccessorType>
-inline void TensorAccess(arm_compute::Tensor& tensor, const float* data,
-                         const nnfw::rt::Shape& shape)
-{
-  AccessorType accessor(data, shape);
-  accessor.access_tensor(tensor);
-}
-
-template<typename AccessorType>
-inline void TensorAccess(arm_compute::Tensor& tensor, float* data,
-                         const nnfw::rt::Shape& shape)
-{
-  AccessorType accessor(data, shape);
-  accessor.access_tensor(tensor);
-}
-
-} // namespace acl
-} // namespace kernel
-} // namespace nnfw
-
-#endif // __NNFW_KERNEL_ACL_IO_ACCESSOR_H__