1 // Copyright (C) 2018-2019 Intel Corporation
2 // SPDX-License-Identifier: Apache-2.0
7 #include "ie_layouts.h"
10 using namespace InferenceEngine;
12 static const std::map<Layout, SizeVector> DIM_POSITIONS = {
13 { NCHW, { I_W, I_H, I_C, I_N } },
14 { NHWC, { I_C, I_W, I_H, I_N } }
17 LayoutOffsetCounter::LayoutOffsetCounter(Layout layout, SizeVector dims) : _layout(layout), _dims(dims), _dims_count(dims.size()), _muls(dims.size(), -1) {
19 for (size_t i = 0; i < _dims_count; i++) {
20 size_t index = DIM_POSITIONS.at(layout)[i];
27 * @brief Calculates offset for specified layout
28 * @param pos Tensor position array (reverse NCHW order as in the IR: w,h,c,n)
30 size_t LayoutOffsetCounter::Offset(SizeVector pos) {
32 for (size_t i = 0; i < _dims_count; i++) {
33 res += pos[i] * _muls[i];
39 TensorDesc::TensorDesc(const Precision& precision, SizeVector dims, Layout layout): blockingDesc(dims, layout),
40 precision(precision) {
42 this->layout = layout;
45 TensorDesc::TensorDesc(const Precision& precision, Layout layout): blockingDesc(), precision(precision) {
46 this->layout = layout;
49 TensorDesc::TensorDesc(const Precision &precision, SizeVector dims, const BlockingDesc &blockDesc)
50 : dims(dims), blockingDesc(blockDesc), precision(precision) {
51 if (dims.size() != *std::max_element(blockDesc.getOrder().begin(), blockDesc.getOrder().end()) + 1)
52 THROW_IE_EXCEPTION << "Cannot create TensorDesc! Blocked dims are inconsistent with original dims.";
54 layout = Layout::BLOCKED;
55 if (dims.size() == blockingDesc.getBlockDims().size()) {
56 switch (dims.size()) {
58 layout = Layout::SCALAR;
64 if (blockingDesc.getOrder()[0] == 0 && blockingDesc.getOrder()[1] == 1)
70 if (blockingDesc.getOrder()[0] == 0 && blockingDesc.getOrder()[1] == 1 &&
71 blockingDesc.getOrder()[2] == 2) {
76 if (blockingDesc.getOrder()[0] == 0 && blockingDesc.getOrder()[1] == 1 &&
77 blockingDesc.getOrder()[2] == 2 && blockingDesc.getOrder()[3] == 3) {
78 layout = Layout::NCHW;
79 } else if (blockingDesc.getOrder()[0] == 0 && blockingDesc.getOrder()[1] == 2 &&
80 blockingDesc.getOrder()[2] == 3 && blockingDesc.getOrder()[3] == 1) {
81 layout = Layout::NHWC;
85 if (blockingDesc.getOrder()[0] == 0 && blockingDesc.getOrder()[1] == 1 &&
86 blockingDesc.getOrder()[2] == 2 && blockingDesc.getOrder()[3] == 3 &&
87 blockingDesc.getOrder()[4] == 4) {
88 layout = Layout::NCDHW;
89 } else if (blockingDesc.getOrder()[0] == 0 && blockingDesc.getOrder()[1] == 2 &&
90 blockingDesc.getOrder()[2] == 3 && blockingDesc.getOrder()[3] == 4 &&
91 blockingDesc.getOrder()[4] == 1) {
92 layout = Layout::NDHWC;
101 TensorDesc::TensorDesc() {
102 this->layout = Layout::ANY;
103 precision = Precision::UNSPECIFIED;
106 void TensorDesc::setDims(const SizeVector &dims) {
108 if (layout == Layout::BLOCKED) {
109 auto newDims = blockingDesc.getBlockDims();
110 auto newOrder = blockingDesc.getOrder();
111 if (newDims.empty()) newDims = dims;
112 if (newOrder.empty()) {
113 for (size_t i = 0; i < newDims.size(); i++) {
114 newOrder.push_back(i);
117 blockingDesc = BlockingDesc(newDims, newOrder);
119 blockingDesc = BlockingDesc(dims, layout);
123 bool TensorDesc::operator==(const TensorDesc &rhs) const {
124 return blockingDesc == rhs.blockingDesc &&
125 precision == rhs.precision &&
126 layout == rhs.layout &&
130 bool TensorDesc::operator!=(const TensorDesc &rhs) const {
131 return !(*this == rhs);
134 Layout TensorDesc::getLayoutByDims(SizeVector dims) {
135 switch (dims.size()) {
137 return Layout::SCALAR;
147 return Layout::NCDHW;
149 return Layout::BLOCKED;
153 size_t TensorDesc::offset(const SizeVector& v) const {
154 if (layout == Layout::ANY)
155 THROW_IE_EXCEPTION << "Cannot calculate offset for any format!";
157 SizeVector off_v = v;
158 const SizeVector& blockedDims = blockingDesc.getBlockDims();
159 const SizeVector& strides = blockingDesc.getStrides();
160 const SizeVector& order = blockingDesc.getOrder();
162 size_t n_blocked_dims = order.size();
163 if (blockedDims.size() != n_blocked_dims || strides.size() != n_blocked_dims) {
164 THROW_IE_EXCEPTION << "Cannot calculate offset. Incorrect primitive descriptor!";
166 SizeVector blockedShift(n_blocked_dims);
167 for (size_t i = 1; i <= n_blocked_dims; i++) {
168 blockedShift[n_blocked_dims - i] = off_v[order[n_blocked_dims - i]] % blockedDims[n_blocked_dims - i];
169 off_v[order[n_blocked_dims - i]] /= blockedDims[n_blocked_dims - i];
171 size_t offset = blockingDesc.getOffsetPadding();
172 for (int d = 0; d < n_blocked_dims; ++d) {
173 const size_t p = blockedShift[d] + blockingDesc.getOffsetPaddingToData()[d];
174 offset += p * strides[d];
179 size_t TensorDesc::offset(size_t l) const {
180 size_t n_dims = dims.size();
181 SizeVector pos(n_dims);
182 for (int rd = 1; rd <= n_dims; ++rd) {
183 const size_t d = n_dims - rd;
184 const size_t cur_dim = dims[d];
185 pos[d] = l % cur_dim;
191 void TensorDesc::reshape(const SizeVector &dims, Layout layout) {
192 for (auto &padd : blockingDesc.getOffsetPaddingToData()) {
194 THROW_IE_EXCEPTION << "Cannot reshape a non-packaged blob!";
196 if (layout != Layout::ANY) {
197 blockingDesc = BlockingDesc(dims, layout);
198 this->layout = layout;
200 blockingDesc = BlockingDesc(dims, this->layout);
205 void TensorDesc::reshape(const SizeVector &dims, const BlockingDesc &blockDesc) {
206 blockingDesc = blockDesc;
208 this->layout = Layout::BLOCKED;
211 BlockingDesc::BlockingDesc(const SizeVector& block_dims, const SizeVector & order): offsetPadding(0) {
213 if (block_dims.empty() || order.empty()) return;
214 fillDesc(block_dims, order);
217 BlockingDesc::BlockingDesc(): BlockingDesc({}, Layout::ANY) {}
219 BlockingDesc::BlockingDesc(const SizeVector &blocked_dims, const SizeVector &order,
220 size_t offset): BlockingDesc(blocked_dims, order) {
221 this->offsetPadding = offset;
224 BlockingDesc::BlockingDesc(const SizeVector &blocked_dims, const SizeVector &order, size_t offset,
225 SizeVector dimOffsets): BlockingDesc(blocked_dims, order) {
226 this->offsetPadding = offset;
227 if (blocked_dims.size() != dimOffsets.size())
228 THROW_IE_EXCEPTION << "Offsets are not initialized for all dimensions.";
229 this->offsetPaddingToData = dimOffsets;
232 BlockingDesc::BlockingDesc(const SizeVector &blocked_dims, const SizeVector &order, size_t offset,
233 SizeVector dimOffsets, SizeVector strides): BlockingDesc(blocked_dims, order) {
234 this->offsetPadding = offset;
235 if (blocked_dims.size() != strides.size())
236 THROW_IE_EXCEPTION << "Strides are not initialized for all dimensions.";
237 this->strides = strides;
238 if (blocked_dims.size() != dimOffsets.size())
239 THROW_IE_EXCEPTION << "Offsets are not initialized for all dimensions.";
240 this->offsetPaddingToData = dimOffsets;
243 BlockingDesc::BlockingDesc(const SizeVector& dims, Layout layout): offsetPadding(0) {
248 auto checkDims = [](size_t r_size, size_t e_size) {
249 if (r_size != e_size)
250 THROW_IE_EXCEPTION << "Dims and format are inconsistent.";
259 checkDims(dims.size(), 1);
265 checkDims(dims.size(), 4);
266 l_order = {0, 1, 2, 3};
270 checkDims(dims.size(), 5);
271 l_order = {0, 1, 2, 3, 4};
275 checkDims(dims.size(), 4);
276 l_order = {0, 2, 3, 1};
277 l_dims = {dims[0], dims[2], dims[3], dims[1]};
280 checkDims(dims.size(), 5);
281 l_order = {0, 2, 3, 4, 1};
285 checkDims(dims.size(), 3);
290 checkDims(dims.size(), 2);
292 l_dims = {dims[1], dims[2]};
296 checkDims(dims.size(), 2);
300 case Layout::BLOCKED:
302 for (size_t i = 0; i < dims.size(); i++)
303 l_order.push_back(i);
308 fillDesc(l_dims, l_order);
311 void BlockingDesc::fillDesc(const SizeVector& blocked_dims, const SizeVector &order) {
312 if (order.size() != blocked_dims.size())
313 THROW_IE_EXCEPTION << "Cannot fill descriptor. Size of dimensions and order vector don't match.";
314 if (blocked_dims.empty() || order.empty())
315 THROW_IE_EXCEPTION << "Cannot fill descriptor. Dimensions and order vector are empty.";
317 this->blockedDims = blocked_dims;
319 offsetPaddingToData.resize(order.size());
320 strides.resize(order.size());
321 strides[strides.size() - 1] = 1;
322 offsetPaddingToData[offsetPaddingToData.size() - 1] = 0;
323 for (size_t i = 2; i <= order.size(); i++) {
324 offsetPaddingToData[offsetPaddingToData.size() - i] = 0;
325 strides[strides.size() - i] = strides[strides.size() - (i - 1)] * blocked_dims[blocked_dims.size() - (i - 1)];
331 bool BlockingDesc::operator==(const BlockingDesc &rhs) const {
332 return blockedDims == rhs.blockedDims &&
333 strides == rhs.strides &&
334 offsetPaddingToData == rhs.offsetPaddingToData &&
335 order == rhs.order &&
336 offsetPadding == rhs.offsetPadding;
339 bool BlockingDesc::operator!=(const BlockingDesc &rhs) const {
340 return !(*this == rhs);