322 lines
8.3 KiB
C++
322 lines
8.3 KiB
C++
// Copyright (C) 2018-2020 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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/**
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* @brief A header file for data layouts and conversion between them
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*
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* @file ie_layouts.h
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*/
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#pragma once
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#include <algorithm>
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#include "ie_api.h"
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#include "ie_common.h"
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#include "ie_precision.hpp"
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namespace InferenceEngine {
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/**
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* @brief This class describes blocking layouts
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*/
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class INFERENCE_ENGINE_API_CLASS(BlockingDesc) {
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public:
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/**
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* @brief The default constructor which creates empty blocking descriptor
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*/
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BlockingDesc();
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/**
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* @brief The constructor which allows to create blocking descriptors for standard layouts
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*
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* @param dims real dimensions
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* @param layout memory layout
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*/
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BlockingDesc(const SizeVector& dims, Layout layout);
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/**
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* @brief The constructor allows to create blocking descriptors for blocked memory
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*
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* @param blocked_dims blocked dimensions
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* @param order the order of dimensions
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*/
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BlockingDesc(const SizeVector& blocked_dims, const SizeVector& order);
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/**
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* @brief The constructor allows to create blocking descriptors for blocked memory
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*
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* @param blocked_dims blocked dimensions
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* @param order the order of dimensions
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* @param offset offset to the current memory block
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*/
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BlockingDesc(const SizeVector& blocked_dims, const SizeVector& order, size_t offset);
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/**
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* @brief The constructor allows to create blocking descriptors for blocked memory
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*
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* @param blocked_dims blocked dimensions
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* @param order the order of dimensions
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* @param offset offset to the current memory block
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* @param dimOffsets per-dimension offset from the padding to actual data,
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*/
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BlockingDesc(const SizeVector& blocked_dims, const SizeVector& order, size_t offset, SizeVector dimOffsets);
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/**
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* @brief The constructor allows to create blocking descriptors for blocked memory
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*
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* @param blocked_dims blocked dimensions
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* @param order the order of dimensions
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* @param offset offset to the current memory block
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* @param dimOffsets per-dimension offset from the padding to actual data,
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* @param strides strides for each dimension
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*/
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BlockingDesc(const SizeVector& blocked_dims, const SizeVector& order, size_t offset, SizeVector dimOffsets,
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SizeVector strides);
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/**
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* @brief Returns the blocked dimensions vector
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*
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* @return blocked dimensions
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*/
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const SizeVector& getBlockDims() const {
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return blockedDims;
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}
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/**
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* @brief Returns the vector of order
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*
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* @return order
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*/
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const SizeVector& getOrder() const {
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return order;
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}
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/**
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* @brief Returns the per-dimension offset vector
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*
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* @return offsets
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*/
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const SizeVector& getOffsetPaddingToData() const {
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return offsetPaddingToData;
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}
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/**
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* @brief Returns the offset to the current memory block
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*
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* @return offset
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*/
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size_t getOffsetPadding() const {
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return offsetPadding;
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}
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/**
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* @brief Returns strides for each dimension
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*
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* @return strides
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*/
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const SizeVector& getStrides() const {
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return strides;
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}
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/**
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* @brief The comparison operator for the BlockingDesc
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*
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* @param rhs object to compare
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* @return true if objects are equal
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*/
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bool operator==(const BlockingDesc& rhs) const;
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/**
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* @brief The comparison operator for the BlockingDesc
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*
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* @param rhs object to compare
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* @return true if objects aren't equal
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*/
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bool operator!=(const BlockingDesc& rhs) const;
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protected:
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void fillDesc(const SizeVector& blocked_dims, const SizeVector& order);
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private:
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/** Blocked dimensions. */
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SizeVector blockedDims;
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/** Strides for blocked dimensions */
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SizeVector strides;
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/** The order of blocked dimensions **/
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SizeVector order;
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/** Per-dimension offset from the padding to actual data, the top-level
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* tensor with offsets applied must lie within the padding area. */
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SizeVector offsetPaddingToData;
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/** Offset from memory origin to the current block, non-zero only in
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* a description of a memory sub-block. */
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size_t offsetPadding;
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};
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/**
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* @brief This class defines Tensor description
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*/
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class INFERENCE_ENGINE_API_CLASS(TensorDesc) {
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public:
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/**
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* @brief The constructor creates the tensor descriptor using blocking descriptor
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*
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* @param precision memory precision
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* @param dims memory dimensions
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* @param blockDesc blocking descriptor
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*/
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TensorDesc(const Precision& precision, SizeVector dims, const BlockingDesc& blockDesc);
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/**
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* @brief The constructor creates the tensor descriptor using standard layout
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*
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* @param precision memory precision
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* @param dims memory dimensions
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* @param layout memory layout
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*/
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TensorDesc(const Precision& precision, SizeVector dims, Layout layout);
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/**
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* @brief The constructor creates the empty tensor descriptor with precision and layout
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*
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* @param precision memory precision
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* @param layout memory layout
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*/
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TensorDesc(const Precision& precision, Layout layout);
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/**
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* @brief The default constructor which creates empty tensor descriptor
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*/
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TensorDesc();
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/**
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* @brief Reshapes the tensor descriptor
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*
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* @param dims new dimensions
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* @param layout new layout if it is necessary
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*/
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void reshape(const SizeVector& dims, Layout layout = Layout::ANY);
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/**
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* @brief Reshapes the tensor descriptor
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*
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* @param dims new dimensions
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* @param blockDesc new blocking descriptor
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*/
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void reshape(const SizeVector& dims, const BlockingDesc& blockDesc);
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/**
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* @brief Returns the vector of dimensions
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*
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* @return dimensions
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*/
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SizeVector& getDims() {
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return dims;
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}
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/**
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* @brief Returns the constant vector of dimensions
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*
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* @return dimensions
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*/
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const SizeVector& getDims() const noexcept {
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return dims;
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}
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/**
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* @brief Sets dimensions
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*
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* @param dims new dimensions
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*/
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void setDims(const SizeVector& dims);
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/**
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* @brief Returns the memory layout
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*
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* @return layout
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*/
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Layout getLayout() const {
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return layout;
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}
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/**
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* @brief Sets the layout
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*
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* @param l memory layout
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*/
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void setLayout(Layout l);
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/**
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* @brief Returns the memory precision
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*
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* @return precision
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*/
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const Precision& getPrecision() const {
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return precision;
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}
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/**
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* @brief Sets the memory precision
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*
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* @param p precision
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*/
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void setPrecision(const Precision& p) {
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precision = p;
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}
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/**
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* @brief Returns the blocking descriptor
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*
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* @return blocking descriptor
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*/
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const BlockingDesc& getBlockingDesc() const {
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return blockingDesc;
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}
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/**
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* @brief The comparison operator for the TensorDesc
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*
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* @param rhs object to compare
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* @return true if objects are equal
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*/
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bool operator==(const TensorDesc& rhs) const;
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/**
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* @brief The comparison operator for the TensorDesc
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*
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* @param rhs object to compare
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* @return true if objects aren't equal
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*/
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bool operator!=(const TensorDesc& rhs) const;
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/**
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* @brief Calculates offset for the vector of dimensions
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*
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* @param v vector of dimensions
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* @return offset
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*/
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size_t offset(const SizeVector& v) const;
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/**
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* @brief Calculates offset for the local offset
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*
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* @param l local offset
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* @return offset
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*/
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size_t offset(size_t l) const;
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/**
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* @brief Returns the standard layout for dimensions
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*
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* @param dims the vector of dimensions
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* @return the standard memory layout
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*/
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static Layout getLayoutByDims(SizeVector dims);
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private:
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/**
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* Memory layout
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*/
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Layout layout;
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/**
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* @brief blob's dimensions
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*/
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SizeVector dims;
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/**
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* @brief memory precision
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*/
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Precision precision;
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/**
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* Detailed information about layout construction
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*/
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BlockingDesc blockingDesc;
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};
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} // namespace InferenceEngine
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