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85<a href="#typedef-members">Typedefs</a> &#124;
86<a href="#func-members">Functions</a> </div>
87 <div class="headertitle">
88<div class="title">armnnTfParser Namespace Reference</div> </div>
89</div><!--header-->
90<div class="contents">
91<table class="memberdecls">
92<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
93Classes</h2></td></tr>
94<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_tf_parser_1_1_i_tf_parser.html">ITfParser</a></td></tr>
95<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Parses a directed acyclic graph from a tensorflow protobuf file. <a href="classarmnn_tf_parser_1_1_i_tf_parser.html#details">More...</a><br /></td></tr>
96<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
97<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_tf_parser_1_1_tf_parser.html">TfParser</a></td></tr>
98<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
99<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_tf_parser_1_1_with_output_tensor_index.html">WithOutputTensorIndex</a></td></tr>
100<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
101</table><table class="memberdecls">
102<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
103Typedefs</h2></td></tr>
104<tr class="memitem:a9084adbf804022c874039ad40d1939e9"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> = <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></td></tr>
105<tr class="separator:a9084adbf804022c874039ad40d1939e9"><td class="memSeparator" colspan="2">&#160;</td></tr>
106<tr class="memitem:af7cec8b9a69e02f18a5de38502675d94"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#af7cec8b9a69e02f18a5de38502675d94">ITfParserPtr</a> = std::unique_ptr&lt; <a class="el" href="classarmnn_tf_parser_1_1_i_tf_parser.html">ITfParser</a>, void(*)(<a class="el" href="classarmnn_tf_parser_1_1_i_tf_parser.html">ITfParser</a> *parser)&gt;</td></tr>
107<tr class="separator:af7cec8b9a69e02f18a5de38502675d94"><td class="memSeparator" colspan="2">&#160;</td></tr>
108<tr class="memitem:aa36bf288c19fe35767bb6e059636f405"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> = std::unique_ptr&lt; ParsedTfOperation &gt;</td></tr>
109<tr class="separator:aa36bf288c19fe35767bb6e059636f405"><td class="memSeparator" colspan="2">&#160;</td></tr>
110<tr class="memitem:ad85fe4a9bf2aff90c53bc2f50c8931e6"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#ad85fe4a9bf2aff90c53bc2f50c8931e6">OutputOfParsedTfOperation</a> = <a class="el" href="structarmnn_tf_parser_1_1_with_output_tensor_index.html">WithOutputTensorIndex</a>&lt; ParsedTfOperation * &gt;</td></tr>
111<tr class="separator:ad85fe4a9bf2aff90c53bc2f50c8931e6"><td class="memSeparator" colspan="2">&#160;</td></tr>
112<tr class="memitem:a4c8735480b01dbd0f75c63377fe054e9"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#a4c8735480b01dbd0f75c63377fe054e9">OutputOfConstNodeDef</a> = <a class="el" href="structarmnn_tf_parser_1_1_with_output_tensor_index.html">WithOutputTensorIndex</a>&lt; const tensorflow::NodeDef * &gt;</td></tr>
113<tr class="separator:a4c8735480b01dbd0f75c63377fe054e9"><td class="memSeparator" colspan="2">&#160;</td></tr>
114<tr class="memitem:abcf8e5fd95ba7e7bd8cd36fc24974223"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#abcf8e5fd95ba7e7bd8cd36fc24974223">OutputId</a> = <a class="el" href="structarmnn_tf_parser_1_1_with_output_tensor_index.html">WithOutputTensorIndex</a>&lt; std::string &gt;</td></tr>
115<tr class="separator:abcf8e5fd95ba7e7bd8cd36fc24974223"><td class="memSeparator" colspan="2">&#160;</td></tr>
116</table><table class="memberdecls">
117<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
118Functions</h2></td></tr>
119<tr class="memitem:a0540bb475d62bab024eebe8685181845"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#a0540bb475d62bab024eebe8685181845">CalculateSamePadding</a> (uint32_t inputSize, uint32_t stride, uint32_t filterSize, bool samePadding, uint32_t *paddingFront, uint32_t *paddingBack)</td></tr>
120<tr class="separator:a0540bb475d62bab024eebe8685181845"><td class="memSeparator" colspan="2">&#160;</td></tr>
121<tr class="memitem:aa78bf8d20e213dcd13d48072dfa9cd1f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#aa78bf8d20e213dcd13d48072dfa9cd1f">CalcPadding</a> (uint32_t input, uint32_t kernel, uint32_t stride, uint32_t &amp;outPadHead, uint32_t &amp;outPadTail, bool samePadding)</td></tr>
122<tr class="separator:aa78bf8d20e213dcd13d48072dfa9cd1f"><td class="memSeparator" colspan="2">&#160;</td></tr>
123<tr class="memitem:a3d934e14ca544ba7af4fe562def8a986"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#a3d934e14ca544ba7af4fe562def8a986">ConvertTfTensorDataType</a> (const tensorflow::DataType tfDataType, const tensorflow::NodeDef &amp;nodeDef)</td></tr>
124<tr class="separator:a3d934e14ca544ba7af4fe562def8a986"><td class="memSeparator" colspan="2">&#160;</td></tr>
125<tr class="memitem:a22ac203831113ee3e429746f6055aa73"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#a22ac203831113ee3e429746f6055aa73">OutputShapeOfExpandDims</a> (const tensorflow::NodeDef &amp;nodeDef, <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo)</td></tr>
126<tr class="separator:a22ac203831113ee3e429746f6055aa73"><td class="memSeparator" colspan="2">&#160;</td></tr>
127<tr class="memitem:ae5488f1478c62281c5e937e79ebcd145"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#ae5488f1478c62281c5e937e79ebcd145">CheckPaddingTensor</a> (const <a class="el" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> &amp;paddingTensor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;inputTensorInfo, const std::string &amp;nodeName)</td></tr>
128<tr class="separator:ae5488f1478c62281c5e937e79ebcd145"><td class="memSeparator" colspan="2">&#160;</td></tr>
129<tr class="memitem:a9c18860db8b032de579c5ad94cbae5d0"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#a9c18860db8b032de579c5ad94cbae5d0">CalculatePaddedOutputTensorInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;inputTensorInfo, const std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; &amp;padList)</td></tr>
130<tr class="separator:a9c18860db8b032de579c5ad94cbae5d0"><td class="memSeparator" colspan="2">&#160;</td></tr>
131<tr class="memitem:a6e06adf62d53562032e738b89f3eb37c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_tf_parser.html#a6e06adf62d53562032e738b89f3eb37c">OutputShapeOfSqueeze</a> (const tensorflow::NodeDef &amp;nodeDef, <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo)</td></tr>
132<tr class="separator:a6e06adf62d53562032e738b89f3eb37c"><td class="memSeparator" colspan="2">&#160;</td></tr>
133</table>
134<h2 class="groupheader">Typedef Documentation</h2>
135<a id="a9084adbf804022c874039ad40d1939e9"></a>
136<h2 class="memtitle"><span class="permalink"><a href="#a9084adbf804022c874039ad40d1939e9">&#9670;&nbsp;</a></span>BindingPointInfo</h2>
137
138<div class="memitem">
139<div class="memproto">
140 <table class="memname">
141 <tr>
142 <td class="memname">using <a class="el" href="namespacearmnn_tf_parser.html#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> = <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></td>
143 </tr>
144 </table>
145</div><div class="memdoc">
146
147<p class="definition">Definition at line <a class="el" href="_i_tf_parser_8hpp_source.html#l00019">19</a> of file <a class="el" href="_i_tf_parser_8hpp_source.html">ITfParser.hpp</a>.</p>
148
149</div>
150</div>
151<a id="af7cec8b9a69e02f18a5de38502675d94"></a>
152<h2 class="memtitle"><span class="permalink"><a href="#af7cec8b9a69e02f18a5de38502675d94">&#9670;&nbsp;</a></span>ITfParserPtr</h2>
153
154<div class="memitem">
155<div class="memproto">
156 <table class="memname">
157 <tr>
158 <td class="memname">using <a class="el" href="namespacearmnn_tf_parser.html#af7cec8b9a69e02f18a5de38502675d94">ITfParserPtr</a> = std::unique_ptr&lt;<a class="el" href="classarmnn_tf_parser_1_1_i_tf_parser.html">ITfParser</a>, void(*)(<a class="el" href="classarmnn_tf_parser_1_1_i_tf_parser.html">ITfParser</a>* parser)&gt;</td>
159 </tr>
160 </table>
161</div><div class="memdoc">
162
163<p class="definition">Definition at line <a class="el" href="_i_tf_parser_8hpp_source.html#l00022">22</a> of file <a class="el" href="_i_tf_parser_8hpp_source.html">ITfParser.hpp</a>.</p>
164
165</div>
166</div>
167<a id="abcf8e5fd95ba7e7bd8cd36fc24974223"></a>
168<h2 class="memtitle"><span class="permalink"><a href="#abcf8e5fd95ba7e7bd8cd36fc24974223">&#9670;&nbsp;</a></span>OutputId</h2>
169
170<div class="memitem">
171<div class="memproto">
172 <table class="memname">
173 <tr>
174 <td class="memname">using <a class="el" href="namespacearmnn_tf_parser.html#abcf8e5fd95ba7e7bd8cd36fc24974223">OutputId</a> = <a class="el" href="structarmnn_tf_parser_1_1_with_output_tensor_index.html">WithOutputTensorIndex</a>&lt;std::string&gt;</td>
175 </tr>
176 </table>
177</div><div class="memdoc">
178
179<p class="definition">Definition at line <a class="el" href="_tf_parser_8hpp_source.html#l00062">62</a> of file <a class="el" href="_tf_parser_8hpp_source.html">TfParser.hpp</a>.</p>
180
181</div>
182</div>
183<a id="a4c8735480b01dbd0f75c63377fe054e9"></a>
184<h2 class="memtitle"><span class="permalink"><a href="#a4c8735480b01dbd0f75c63377fe054e9">&#9670;&nbsp;</a></span>OutputOfConstNodeDef</h2>
185
186<div class="memitem">
187<div class="memproto">
188 <table class="memname">
189 <tr>
190 <td class="memname">using <a class="el" href="namespacearmnn_tf_parser.html#a4c8735480b01dbd0f75c63377fe054e9">OutputOfConstNodeDef</a> = <a class="el" href="structarmnn_tf_parser_1_1_with_output_tensor_index.html">WithOutputTensorIndex</a>&lt;const tensorflow::NodeDef*&gt;</td>
191 </tr>
192 </table>
193</div><div class="memdoc">
194
195<p class="definition">Definition at line <a class="el" href="_tf_parser_8hpp_source.html#l00061">61</a> of file <a class="el" href="_tf_parser_8hpp_source.html">TfParser.hpp</a>.</p>
196
197</div>
198</div>
199<a id="ad85fe4a9bf2aff90c53bc2f50c8931e6"></a>
200<h2 class="memtitle"><span class="permalink"><a href="#ad85fe4a9bf2aff90c53bc2f50c8931e6">&#9670;&nbsp;</a></span>OutputOfParsedTfOperation</h2>
201
202<div class="memitem">
203<div class="memproto">
204 <table class="memname">
205 <tr>
206 <td class="memname">using <a class="el" href="namespacearmnn_tf_parser.html#ad85fe4a9bf2aff90c53bc2f50c8931e6">OutputOfParsedTfOperation</a> = <a class="el" href="structarmnn_tf_parser_1_1_with_output_tensor_index.html">WithOutputTensorIndex</a>&lt;ParsedTfOperation *&gt;</td>
207 </tr>
208 </table>
209</div><div class="memdoc">
210
211<p class="definition">Definition at line <a class="el" href="_tf_parser_8hpp_source.html#l00060">60</a> of file <a class="el" href="_tf_parser_8hpp_source.html">TfParser.hpp</a>.</p>
212
213</div>
214</div>
215<a id="aa36bf288c19fe35767bb6e059636f405"></a>
216<h2 class="memtitle"><span class="permalink"><a href="#aa36bf288c19fe35767bb6e059636f405">&#9670;&nbsp;</a></span>ParsedTfOperationPtr</h2>
217
218<div class="memitem">
219<div class="memproto">
220 <table class="memname">
221 <tr>
222 <td class="memname">using <a class="el" href="namespacearmnn_tf_parser.html#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> = std::unique_ptr&lt;ParsedTfOperation&gt;</td>
223 </tr>
224 </table>
225</div><div class="memdoc">
226
227<p class="definition">Definition at line <a class="el" href="_tf_parser_8hpp_source.html#l00035">35</a> of file <a class="el" href="_tf_parser_8hpp_source.html">TfParser.hpp</a>.</p>
228
229</div>
230</div>
231<h2 class="groupheader">Function Documentation</h2>
232<a id="aa78bf8d20e213dcd13d48072dfa9cd1f"></a>
233<h2 class="memtitle"><span class="permalink"><a href="#aa78bf8d20e213dcd13d48072dfa9cd1f">&#9670;&nbsp;</a></span>CalcPadding()</h2>
234
235<div class="memitem">
236<div class="memproto">
237 <table class="memname">
238 <tr>
239 <td class="memname">void armnnTfParser::CalcPadding </td>
240 <td>(</td>
241 <td class="paramtype">uint32_t&#160;</td>
242 <td class="paramname"><em>input</em>, </td>
243 </tr>
244 <tr>
245 <td class="paramkey"></td>
246 <td></td>
247 <td class="paramtype">uint32_t&#160;</td>
248 <td class="paramname"><em>kernel</em>, </td>
249 </tr>
250 <tr>
251 <td class="paramkey"></td>
252 <td></td>
253 <td class="paramtype">uint32_t&#160;</td>
254 <td class="paramname"><em>stride</em>, </td>
255 </tr>
256 <tr>
257 <td class="paramkey"></td>
258 <td></td>
259 <td class="paramtype">uint32_t &amp;&#160;</td>
260 <td class="paramname"><em>outPadHead</em>, </td>
261 </tr>
262 <tr>
263 <td class="paramkey"></td>
264 <td></td>
265 <td class="paramtype">uint32_t &amp;&#160;</td>
266 <td class="paramname"><em>outPadTail</em>, </td>
267 </tr>
268 <tr>
269 <td class="paramkey"></td>
270 <td></td>
271 <td class="paramtype">bool&#160;</td>
272 <td class="paramname"><em>samePadding</em>&#160;</td>
273 </tr>
274 <tr>
275 <td></td>
276 <td>)</td>
277 <td></td><td></td>
278 </tr>
279 </table>
280</div><div class="memdoc">
281
282<p class="definition">Definition at line <a class="el" href="_tf_parser_8cpp_source.html#l00419">419</a> of file <a class="el" href="_tf_parser_8cpp_source.html">TfParser.cpp</a>.</p>
283
284<p class="reference">References <a class="el" href="_tf_parser_8cpp_source.html#l00403">CalculateSamePadding()</a>, <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00305">Layer::GetName()</a>, <a class="el" href="_layer_8hpp_source.html#l00308">Layer::GetNumOutputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00312">Layer::GetOutputSlot()</a>, and <a class="el" href="_subgraph_view_selector_8cpp_source.html#l00239">m_Layer</a>.</p>
285
286<p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.html#l00931">ConvertTfTensorDataType()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.html#l00597">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_onnx_parser_8cpp_source.html#l00584">OnnxParser::CreateNetworkFromString()</a>, and <a class="el" href="_tf_parser_8cpp_source.html#l02414">OutputShapeOfSqueeze()</a>.</p>
287<div class="fragment"><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160;{</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <a class="code" href="namespacearmnn_tf_parser.html#a0540bb475d62bab024eebe8685181845">CalculateSamePadding</a>(input, stride, kernel, samePadding, &amp;outPadHead, &amp;outPadTail);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160;}</div><div class="ttc" id="namespacearmnn_tf_parser_html_a0540bb475d62bab024eebe8685181845"><div class="ttname"><a href="namespacearmnn_tf_parser.html#a0540bb475d62bab024eebe8685181845">armnnTfParser::CalculateSamePadding</a></div><div class="ttdeci">void CalculateSamePadding(uint32_t inputSize, uint32_t stride, uint32_t filterSize, bool samePadding, uint32_t *paddingFront, uint32_t *paddingBack)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8cpp_source.html#l00403">TfParser.cpp:403</a></div></div>
288</div><!-- fragment -->
289</div>
290</div>
291<a id="a9c18860db8b032de579c5ad94cbae5d0"></a>
292<h2 class="memtitle"><span class="permalink"><a href="#a9c18860db8b032de579c5ad94cbae5d0">&#9670;&nbsp;</a></span>CalculatePaddedOutputTensorInfo()</h2>
293
294<div class="memitem">
295<div class="memproto">
296 <table class="memname">
297 <tr>
298 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> armnnTfParser::CalculatePaddedOutputTensorInfo </td>
299 <td>(</td>
300 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
301 <td class="paramname"><em>inputTensorInfo</em>, </td>
302 </tr>
303 <tr>
304 <td class="paramkey"></td>
305 <td></td>
306 <td class="paramtype">const std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; &amp;&#160;</td>
307 <td class="paramname"><em>padList</em>&#160;</td>
308 </tr>
309 <tr>
310 <td></td>
311 <td>)</td>
312 <td></td><td></td>
313 </tr>
314 </table>
315</div><div class="memdoc">
316
317<p class="definition">Definition at line <a class="el" href="_tf_parser_8cpp_source.html#l02089">2089</a> of file <a class="el" href="_tf_parser_8cpp_source.html">TfParser.cpp</a>.</p>
318
319<p class="reference">References <a class="el" href="classarmnn_1_1_i_network.html#aef27f787e8a2ee19c4052261f963f28e">INetwork::AddConcatLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a07485f1477554d32e43edc39502ac419">INetwork::AddPadLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#ac77b89eb982f9d745730c90fcbdddba4">INetwork::AddReshapeLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a617aeb663e1535568864c23f5d988dd8">INetwork::AddResizeLayer()</a>, <a class="el" href="namespacearmnn.html#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::Bilinear</a>, <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="_tf_parser_8cpp_source.html#l02057">CheckPaddingTensor()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00189">OriginsDescriptor::GetViewOrigin()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00751">ResizeDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l00749">ResizeDescriptor::m_Method</a>, <a class="el" href="_descriptors_8hpp_source.html#l00746">ResizeDescriptor::m_TargetHeight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00774">ReshapeDescriptor::m_TargetShape</a>, <a class="el" href="_descriptors_8hpp_source.html#l00744">ResizeDescriptor::m_TargetWidth</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="_descriptors_8cpp_source.html#l00150">OriginsDescriptor::SetConcatAxis()</a>, <a class="el" href="_tensor_8hpp_source.html#l00090">TensorInfo::SetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>, and <a class="el" href="_descriptors_8cpp_source.html#l00159">OriginsDescriptor::SetViewOriginCoord()</a>.</p>
320<div class="fragment"><div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>&#160;{</div><div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>&#160; std::vector&lt;unsigned int&gt; outDims;</div><div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numDims; ++i)</div><div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>&#160; {</div><div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimSize = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div><div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>&#160; <span class="keyword">const</span> std::pair&lt;unsigned int, unsigned int&gt;&amp; dimPadding = padList[i];</div><div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>&#160; dimSize += dimPadding.first;</div><div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>&#160; dimSize += dimPadding.second;</div><div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>&#160; outDims.push_back(dimSize);</div><div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>&#160; }</div><div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> paddedTensorInfo = inputTensorInfo;</div><div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDimsSize = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(outDims.size());</div><div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>&#160; paddedTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>{ outDimsSize, outDims.data() });</div><div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>&#160; <span class="keywordflow">return</span> paddedTensorInfo;</div><div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
321<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
322<div class="ttc" id="classarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &amp;newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00090">Tensor.hpp:90</a></div></div>
323<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
324<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
325</div><!-- fragment -->
326</div>
327</div>
328<a id="a0540bb475d62bab024eebe8685181845"></a>
329<h2 class="memtitle"><span class="permalink"><a href="#a0540bb475d62bab024eebe8685181845">&#9670;&nbsp;</a></span>CalculateSamePadding()</h2>
330
331<div class="memitem">
332<div class="memproto">
333<table class="mlabels">
334 <tr>
335 <td class="mlabels-left">
336 <table class="memname">
337 <tr>
338 <td class="memname">void armnnTfParser::CalculateSamePadding </td>
339 <td>(</td>
340 <td class="paramtype">uint32_t&#160;</td>
341 <td class="paramname"><em>inputSize</em>, </td>
342 </tr>
343 <tr>
344 <td class="paramkey"></td>
345 <td></td>
346 <td class="paramtype">uint32_t&#160;</td>
347 <td class="paramname"><em>stride</em>, </td>
348 </tr>
349 <tr>
350 <td class="paramkey"></td>
351 <td></td>
352 <td class="paramtype">uint32_t&#160;</td>
353 <td class="paramname"><em>filterSize</em>, </td>
354 </tr>
355 <tr>
356 <td class="paramkey"></td>
357 <td></td>
358 <td class="paramtype">bool&#160;</td>
359 <td class="paramname"><em>samePadding</em>, </td>
360 </tr>
361 <tr>
362 <td class="paramkey"></td>
363 <td></td>
364 <td class="paramtype">uint32_t *&#160;</td>
365 <td class="paramname"><em>paddingFront</em>, </td>
366 </tr>
367 <tr>
368 <td class="paramkey"></td>
369 <td></td>
370 <td class="paramtype">uint32_t *&#160;</td>
371 <td class="paramname"><em>paddingBack</em>&#160;</td>
372 </tr>
373 <tr>
374 <td></td>
375 <td>)</td>
376 <td></td><td></td>
377 </tr>
378 </table>
379 </td>
380 <td class="mlabels-right">
381<span class="mlabels"><span class="mlabel">inline</span></span> </td>
382 </tr>
383</table>
384</div><div class="memdoc">
385
386<p class="definition">Definition at line <a class="el" href="_tf_parser_8cpp_source.html#l00403">403</a> of file <a class="el" href="_tf_parser_8cpp_source.html">TfParser.cpp</a>.</p>
387
388<p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.html#l00419">CalcPadding()</a>.</p>
389<div class="fragment"><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; {</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; *paddingFront = 0;</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; *paddingBack = 0;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; <span class="keywordflow">if</span> (samePadding) {</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; uint32_t outputSize = (inputSize + stride - 1) / stride;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; uint32_t temp = (outputSize - 1) * stride + filterSize;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="keywordflow">if</span> (temp &gt; inputSize) {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; *paddingFront = (temp - inputSize) / 2;</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; *paddingBack = (temp - inputSize) - *paddingFront;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; }</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; }</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160;}</div></div><!-- fragment -->
390</div>
391</div>
392<a id="ae5488f1478c62281c5e937e79ebcd145"></a>
393<h2 class="memtitle"><span class="permalink"><a href="#ae5488f1478c62281c5e937e79ebcd145">&#9670;&nbsp;</a></span>CheckPaddingTensor()</h2>
394
395<div class="memitem">
396<div class="memproto">
397 <table class="memname">
398 <tr>
399 <td class="memname">unsigned int armnnTfParser::CheckPaddingTensor </td>
400 <td>(</td>
401 <td class="paramtype">const <a class="el" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> &amp;&#160;</td>
402 <td class="paramname"><em>paddingTensor</em>, </td>
403 </tr>
404 <tr>
405 <td class="paramkey"></td>
406 <td></td>
407 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
408 <td class="paramname"><em>inputTensorInfo</em>, </td>
409 </tr>
410 <tr>
411 <td class="paramkey"></td>
412 <td></td>
413 <td class="paramtype">const std::string &amp;&#160;</td>
414 <td class="paramname"><em>nodeName</em>&#160;</td>
415 </tr>
416 <tr>
417 <td></td>
418 <td>)</td>
419 <td></td><td></td>
420 </tr>
421 </table>
422</div><div class="memdoc">
423
424<p class="definition">Definition at line <a class="el" href="_tf_parser_8cpp_source.html#l02057">2057</a> of file <a class="el" href="_tf_parser_8cpp_source.html">TfParser.cpp</a>.</p>
425
426<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, and <a class="el" href="_tensor_8hpp_source.html#l00169">BaseTensor&lt; MemoryType &gt;::GetShape()</a>.</p>
427
428<p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.html#l02089">CalculatePaddedOutputTensorInfo()</a>.</p>
429<div class="fragment"><div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>&#160;{</div><div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = paddingTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0];</div><div class="line"><a name="l02062"></a><span class="lineno"> 2062</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedRank = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>&#160; <span class="keywordflow">if</span> (rank != expectedRank)</div><div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>&#160; {</div><div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>&#160; boost::str(</div><div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>&#160; boost::format(</div><div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>&#160; <span class="stringliteral">&quot;Expected the padding tensor to be of rank %1 not %2 on Node %3 %4.&quot;</span>)</div><div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>&#160; % expectedRank</div><div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>&#160; % rank</div><div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>&#160; % nodeName</div><div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>&#160; }</div><div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> second = paddingTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1];</div><div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>&#160; <span class="keywordflow">if</span> (second != 2)</div><div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>&#160; {</div><div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>&#160; boost::str(</div><div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>&#160; boost::format(</div><div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>&#160; <span class="stringliteral">&quot;Expected the padding tensor to be of dimensions [%1, 2] not [%1, %2] on Node %3 %4.&quot;</span>)</div><div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>&#160; % rank</div><div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>&#160; % second</div><div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>&#160; % nodeName</div><div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>&#160; }</div><div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>&#160; <span class="keywordflow">return</span> rank;</div><div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
430<div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
431<div class="ttc" id="classarmnn_1_1_base_tensor_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::BaseTensor::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00169">Tensor.hpp:169</a></div></div>
432<div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
433</div><!-- fragment -->
434</div>
435</div>
436<a id="a3d934e14ca544ba7af4fe562def8a986"></a>
437<h2 class="memtitle"><span class="permalink"><a href="#a3d934e14ca544ba7af4fe562def8a986">&#9670;&nbsp;</a></span>ConvertTfTensorDataType()</h2>
438
439<div class="memitem">
440<div class="memproto">
441 <table class="memname">
442 <tr>
443 <td class="memname"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> armnnTfParser::ConvertTfTensorDataType </td>
444 <td>(</td>
445 <td class="paramtype">const tensorflow::DataType&#160;</td>
446 <td class="paramname"><em>tfDataType</em>, </td>
447 </tr>
448 <tr>
449 <td class="paramkey"></td>
450 <td></td>
451 <td class="paramtype">const tensorflow::NodeDef &amp;&#160;</td>
452 <td class="paramname"><em>nodeDef</em>&#160;</td>
453 </tr>
454 <tr>
455 <td></td>
456 <td>)</td>
457 <td></td><td></td>
458 </tr>
459 </table>
460</div><div class="memdoc">
461
462<p class="definition">Definition at line <a class="el" href="_tf_parser_8cpp_source.html#l00931">931</a> of file <a class="el" href="_tf_parser_8cpp_source.html">TfParser.cpp</a>.</p>
463
464<p class="reference">References <a class="el" href="classarmnn_1_1_i_network.html#a073e2f61f527d7d3801c26bdbd37dd7e">INetwork::AddConvolution2dLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a78367a5054c92d435f4f5c7e10ec65b8">INetwork::AddDepthwiseConvolution2dLayer()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00419">CalcPadding()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00313">CHECK_DATA_FORMAT</a>, <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00327">CHECK_PADDING_TYPE</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00113">armnn::GetDataTypeSize()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed::GetHeightIndex()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_8hpp_source.html#l00169">BaseTensor&lt; MemoryType &gt;::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed::GetWidthIndex()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00438">Convolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00490">DepthwiseConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00440">Convolution2dDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l00492">DepthwiseConvolution2dDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l00428">Convolution2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.html#l00480">DepthwiseConvolution2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.html#l00422">Convolution2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.html#l00474">DepthwiseConvolution2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.html#l00424">Convolution2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00476">DepthwiseConvolution2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00426">Convolution2dDescriptor::m_PadTop</a>, <a class="el" href="_descriptors_8hpp_source.html#l00478">DepthwiseConvolution2dDescriptor::m_PadTop</a>, <a class="el" href="_descriptors_8hpp_source.html#l00430">Convolution2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.html#l00482">DepthwiseConvolution2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.html#l00432">Convolution2dDescriptor::m_StrideY</a>, <a class="el" href="_descriptors_8hpp_source.html#l00484">DepthwiseConvolution2dDescriptor::m_StrideY</a>, <a class="el" href="_permute_8cpp_source.html#l00121">armnnUtils::Permute()</a>, <a class="el" href="_permute_8cpp_source.html#l00098">armnnUtils::Permuted()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p>
465<div class="fragment"><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160;{</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160; <span class="keywordflow">switch</span> (tfDataType)</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; {</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; <span class="keywordflow">case</span> tensorflow::DT_FLOAT:</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160; <span class="keywordflow">return</span> DataType::Float32;</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160; <span class="keywordflow">case</span> tensorflow::DT_INT32:</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160; <span class="keywordflow">return</span> DataType::Signed32;</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160; boost::str(</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; boost::format(</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; <span class="stringliteral">&quot;Unknown DataType %1% for node %2% %3%&quot;</span>)</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; % tensorflow::DataType_Name(tfDataType)</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; % nodeDef.name()</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; }</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
466<div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
467</div><!-- fragment -->
468</div>
469</div>
470<a id="a22ac203831113ee3e429746f6055aa73"></a>
471<h2 class="memtitle"><span class="permalink"><a href="#a22ac203831113ee3e429746f6055aa73">&#9670;&nbsp;</a></span>OutputShapeOfExpandDims()</h2>
472
473<div class="memitem">
474<div class="memproto">
475 <table class="memname">
476 <tr>
477 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> armnnTfParser::OutputShapeOfExpandDims </td>
478 <td>(</td>
479 <td class="paramtype">const tensorflow::NodeDef &amp;&#160;</td>
480 <td class="paramname"><em>nodeDef</em>, </td>
481 </tr>
482 <tr>
483 <td class="paramkey"></td>
484 <td></td>
485 <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&#160;</td>
486 <td class="paramname"><em>inputTensorInfo</em>&#160;</td>
487 </tr>
488 <tr>
489 <td></td>
490 <td>)</td>
491 <td></td><td></td>
492 </tr>
493 </table>
494</div><div class="memdoc">
495
496<p class="definition">Definition at line <a class="el" href="_tf_parser_8cpp_source.html#l01466">1466</a> of file <a class="el" href="_tf_parser_8cpp_source.html">TfParser.cpp</a>.</p>
497
498<p class="reference">References <a class="el" href="classarmnn_1_1_i_network.html#aea068f6094e1c3bfcdf8167b68112632">INetwork::AddActivationLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a8d1067e754512c434da1238b67ad26ea">INetwork::AddBatchNormalizationLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#ac3be1bcc0fa5ffaf04a4f1d20d0ab7f4">INetwork::AddComparisonLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a8440d2a2afd3eb3526212081c9016830">INetwork::AddGatherLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a4cc12e3bd9ffe196cc8b351f25a104e3">INetwork::AddMinimumLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#ac77b89eb982f9d745730c90fcbdddba4">INetwork::AddReshapeLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#afaa808f44f0b8332ec0bd54f4fea47c0">INetwork::AddStackLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#ab6d332d9c4b4f04c23f40f04f7f56d0d">INetwork::AddSubtractionLayer()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00313">CHECK_DATA_FORMAT</a>, <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_tensor_8hpp_source.html#l00095">TensorInfo::GetDataType()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00043">TensorShape::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00972">StackDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.html#l00625">BatchNormalizationDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l00623">BatchNormalizationDescriptor::m_Eps</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_tf_parser_8hpp_source.html#l00049">WithOutputTensorIndex&lt; T &gt;::m_Index</a>, <a class="el" href="_tf_parser_8hpp_source.html#l00048">WithOutputTensorIndex&lt; T &gt;::m_IndexedValue</a>, <a class="el" href="_descriptors_8hpp_source.html#l00976">StackDescriptor::m_InputShape</a>, <a class="el" href="_descriptors_8hpp_source.html#l00974">StackDescriptor::m_NumInputs</a>, <a class="el" href="_descriptors_8hpp_source.html#l00774">ReshapeDescriptor::m_TargetShape</a>, <a class="el" href="_tensor_8hpp_source.html#l00096">TensorInfo::SetDataType()</a>, <a class="el" href="_tensor_8hpp_source.html#l00090">TensorInfo::SetShape()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p>
499<div class="fragment"><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>&#160;{</div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>&#160; BOOST_ASSERT(nodeDef.op() == <span class="stringliteral">&quot;ExpandDims&quot;</span>);</div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>&#160;</div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>&#160; <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &gt; 4) {</div><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>&#160; boost::str(</div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>&#160; boost::format(</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>&#160; <span class="stringliteral">&quot;Unsupported number of dimensions: %1% for input shape for ExpandDims %2% %3%&quot;</span>)</div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>&#160; % inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>&#160; % nodeDef.name()</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>&#160; }</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>&#160;</div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>&#160; std::int32_t expandDim = ReadMandatoryNodeInt32Attribute(nodeDef, <span class="stringliteral">&quot;Tdim&quot;</span>);</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>&#160;</div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>&#160; std::int32_t inputDimSize = boost::numeric_cast&lt;int32_t&gt;(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>&#160; std::vector&lt;uint32_t&gt; outputDims;</div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>&#160;</div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>&#160; <span class="comment">// expandDim operation requires: -1-input.dims() &lt;= dim &lt;= input.dims()</span></div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>&#160; <span class="keywordflow">if</span> (expandDim &gt;= -1 - inputDimSize &amp;&amp; expandDim &lt;= inputDimSize)</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>&#160; {</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>&#160; <span class="comment">// add current input shape to outputDims</span></div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i) {</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160; <span class="keyword">auto</span> currentDimension = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160; outputDims.push_back(currentDimension);</div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160; }</div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>&#160;</div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160; <span class="comment">// insert a dimension of 1 at index &#39;expandDim&#39; of inputs shape</span></div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160; <span class="keywordflow">if</span> (expandDim &gt;= 0)</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>&#160; {</div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>&#160; <span class="keyword">auto</span> getPosition = std::next(outputDims.begin() + 0, expandDim);</div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>&#160; outputDims.insert(getPosition, 1);</div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>&#160; }</div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>&#160;</div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>&#160; <span class="comment">// if negative number for &#39;expandDim&#39; then count backwards from the last element</span></div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160; <span class="comment">// and insert 1 dimension at index &#39;expandDim&#39;</span></div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>&#160; <span class="keywordflow">if</span> (expandDim &lt; 0)</div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160; {</div><div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>&#160; <span class="keywordtype">int</span> outputDimSize = boost::numeric_cast&lt;<span class="keywordtype">int</span>&gt;(outputDims.size() + 1);</div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160; <span class="keyword">auto</span> getPosition = std::next(outputDims.begin() + outputDimSize, expandDim);</div><div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160; outputDims.insert(getPosition, 1);</div><div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>&#160; }</div><div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>&#160; }</div><div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>&#160; {</div><div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div><div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>&#160; boost::str(</div><div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>&#160; boost::format(</div><div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>&#160; <span class="stringliteral">&quot;Cannot expand dimension %1% in input tensor with %2% dimension %3%&quot;</span>)</div><div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>&#160; % expandDim</div><div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>&#160; % inputDimSize</div><div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>&#160; }</div><div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160;</div><div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160; <span class="keywordflow">if</span> (outputDims.size() &gt; 4)</div><div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>&#160; {</div><div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160; boost::str(</div><div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>&#160; boost::format(</div><div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160; <span class="stringliteral">&quot;Unsupported number of dimensions: %1% for output shape for ExpandDims %2% %3%&quot;</span>)</div><div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>&#160; % outputDims.size()</div><div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160; % nodeDef.name()</div><div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160; }</div><div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>&#160;</div><div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outShape = <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(static_cast&lt;unsigned int&gt;(outputDims.size()),</div><div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>&#160; outputDims.data());</div><div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>&#160;</div><div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outTensorInfo = inputTensorInfo;</div><div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160; outTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(outShape);</div><div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160;</div><div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160; <span class="keywordflow">return</span> outTensorInfo;</div><div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
500<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
501<div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
502<div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
503<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
504<div class="ttc" id="classarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &amp;newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00090">Tensor.hpp:90</a></div></div>
505<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
506<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
507</div><!-- fragment -->
508</div>
509</div>
510<a id="a6e06adf62d53562032e738b89f3eb37c"></a>
511<h2 class="memtitle"><span class="permalink"><a href="#a6e06adf62d53562032e738b89f3eb37c">&#9670;&nbsp;</a></span>OutputShapeOfSqueeze()</h2>
512
513<div class="memitem">
514<div class="memproto">
515 <table class="memname">
516 <tr>
517 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> armnnTfParser::OutputShapeOfSqueeze </td>
518 <td>(</td>
519 <td class="paramtype">const tensorflow::NodeDef &amp;&#160;</td>
520 <td class="paramname"><em>nodeDef</em>, </td>
521 </tr>
522 <tr>
523 <td class="paramkey"></td>
524 <td></td>
525 <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&#160;</td>
526 <td class="paramname"><em>inputTensorInfo</em>&#160;</td>
527 </tr>
528 <tr>
529 <td></td>
530 <td>)</td>
531 <td></td><td></td>
532 </tr>
533 </table>
534</div><div class="memdoc">
535
536<p class="definition">Definition at line <a class="el" href="_tf_parser_8cpp_source.html#l02414">2414</a> of file <a class="el" href="_tf_parser_8cpp_source.html">TfParser.cpp</a>.</p>
537
538<p class="reference">References <a class="el" href="classarmnn_1_1_i_network.html#aea068f6094e1c3bfcdf8167b68112632">INetwork::AddActivationLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a4812e0137ee610310d23059efed2cb84">INetwork::AddAdditionLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a82a5bc0d24f4c4eb1fbf793e156a5193">INetwork::AddDivisionLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a5bf8e0c150c7e6f8085c0767c6ab1914">INetwork::AddElementwiseUnaryLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a4839e4ec3f07974c57ca2c856b40cd57">INetwork::AddFullyConnectedLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a87d5ec72def73ca14bd2987a024bd569">INetwork::AddInputLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#afb8d4577c796ffdd213428cd285734b1">INetwork::AddMaximumLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a8262e9e6fc869a9c9782115a6a552f36">INetwork::AddMeanLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#ae24e82cf1ae2a71c5cd976edfb192fc0">INetwork::AddMultiplicationLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a74dac9efbb6dbd1982a45af1805eb4e0">INetwork::AddNormalizationLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#ad8582fba2ebeb65da43a56bc22d4f88b">INetwork::AddOutputLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a4ec92bca4e51755105abb89e1878585f">INetwork::AddPooling2dLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#ac77b89eb982f9d745730c90fcbdddba4">INetwork::AddReshapeLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a53949668a151924c4aad83b176db1080">INetwork::AddSoftmaxLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a3a2dbac031f1a0b1b323916b1c7f61d2">INetwork::AddSplitterLayer()</a>, <a class="el" href="classarmnn_1_1_i_network.html#a348f95b60998a987ba20a58bfc720590">INetwork::AddStridedSliceLayer()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00419">CalcPadding()</a>, <a class="el" href="_parser_helper_8cpp_source.html#l00054">armnnUtils::CalculateReducedOutputTensoInfo()</a>, <a class="el" href="_parser_helper_8cpp_source.html#l00105">armnnUtils::CalculateStridedSliceOutputTensorInfo()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00313">CHECK_DATA_FORMAT</a>, <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00327">CHECK_PADDING_TYPE</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_tensor_8hpp_source.html#l00095">TensorInfo::GetDataType()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed::GetHeightIndex()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00043">TensorShape::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer::GetNumOutputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_8hpp_source.html#l00169">BaseTensor&lt; MemoryType &gt;::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed::GetWidthIndex()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00581">NormalizationDescriptor::m_Alpha</a>, <a class="el" href="_descriptors_8hpp_source.html#l00895">MeanDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.html#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.html#l01041">StridedSliceDescriptor::m_Begin</a>, <a class="el" href="_descriptors_8hpp_source.html#l01049">StridedSliceDescriptor::m_BeginMask</a>, <a class="el" href="_descriptors_8hpp_source.html#l00583">NormalizationDescriptor::m_Beta</a>, <a class="el" href="_descriptors_8hpp_source.html#l00386">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00369">Pooling2dDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l00587">NormalizationDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l01062">StridedSliceDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l01056">StridedSliceDescriptor::m_EllipsisMask</a>, <a class="el" href="_descriptors_8hpp_source.html#l01043">StridedSliceDescriptor::m_End</a>, <a class="el" href="_descriptors_8hpp_source.html#l01052">StridedSliceDescriptor::m_EndMask</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_descriptors_8hpp_source.html#l00585">NormalizationDescriptor::m_K</a>, <a class="el" href="_descriptors_8hpp_source.html#l00897">MeanDescriptor::m_KeepDims</a>, <a class="el" href="_subgraph_view_selector_8cpp_source.html#l00239">m_Layer</a>, <a class="el" href="_descriptors_8hpp_source.html#l01059">StridedSliceDescriptor::m_NewAxisMask</a>, <a class="el" href="_descriptors_8hpp_source.html#l00575">NormalizationDescriptor::m_NormChannelType</a>, <a class="el" href="_descriptors_8hpp_source.html#l00577">NormalizationDescriptor::m_NormMethodType</a>, <a class="el" href="_descriptors_8hpp_source.html#l00579">NormalizationDescriptor::m_NormSize</a>, <a class="el" href="_descriptors_8hpp_source.html#l00365">Pooling2dDescriptor::m_OutputShapeRounding</a>, <a class="el" href="_descriptors_8hpp_source.html#l00355">Pooling2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.html#l00367">Pooling2dDescriptor::m_PaddingMethod</a>, <a class="el" href="_descriptors_8hpp_source.html#l00349">Pooling2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.html#l00351">Pooling2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00353">Pooling2dDescriptor::m_PadTop</a>, <a class="el" href="_descriptors_8hpp_source.html#l00359">Pooling2dDescriptor::m_PoolHeight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00347">Pooling2dDescriptor::m_PoolType</a>, <a class="el" href="_descriptors_8hpp_source.html#l00357">Pooling2dDescriptor::m_PoolWidth</a>, <a class="el" href="_descriptors_8hpp_source.html#l01054">StridedSliceDescriptor::m_ShrinkAxisMask</a>, <a class="el" href="_descriptors_8hpp_source.html#l01045">StridedSliceDescriptor::m_Stride</a>, <a class="el" href="_descriptors_8hpp_source.html#l00361">Pooling2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.html#l00363">Pooling2dDescriptor::m_StrideY</a>, <a class="el" href="_descriptors_8hpp_source.html#l00774">ReshapeDescriptor::m_TargetShape</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="_tf_parser_8hpp_source.html#l00097">TfParser::ParsedMatMulTfOperation</a>, <a class="el" href="_tf_parser_8hpp_source.html#l00098">TfParser::ParsedMulTfOperation</a>, <a class="el" href="_tensor_8hpp_source.html#l00090">TensorInfo::SetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00302">ViewsDescriptor::SetViewOriginCoord()</a>, and <a class="el" href="_descriptors_8cpp_source.html#l00307">ViewsDescriptor::SetViewSize()</a>.</p>
539<div class="fragment"><div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>&#160;{</div><div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>&#160; BOOST_ASSERT(nodeDef.op() == <span class="stringliteral">&quot;Squeeze&quot;</span>);</div><div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">tensorflow::DataType</a> tfDataType = ReadMandatoryNodeTypeAttribute(nodeDef, <span class="stringliteral">&quot;T&quot;</span>);</div><div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>&#160;</div><div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> type;</div><div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>&#160; <span class="keywordflow">if</span> (tfDataType == tensorflow::DT_FLOAT)</div><div class="line"><a name="l02421"></a><span class="lineno"> 2421</span>&#160; {</div><div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>&#160; type = DataType::Float32;</div><div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>&#160; }</div><div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (tfDataType == tensorflow::DT_INT32)</div><div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>&#160; {</div><div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>&#160; type = DataType::Signed32;</div><div class="line"><a name="l02427"></a><span class="lineno"> 2427</span>&#160; }</div><div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>&#160; {</div><div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>&#160; boost::str(</div><div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>&#160; boost::format(<span class="stringliteral">&quot;Unsupported DataType %1% for Squeeze operation %2% %3%&quot;</span>)</div><div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>&#160; % tensorflow::DataType_Name(tfDataType)</div><div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>&#160; % nodeDef.name()</div><div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>&#160; }</div><div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>&#160;</div><div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>&#160;</div><div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>&#160; <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &gt; 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% <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>&#160; }</div><div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>&#160;</div><div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>&#160; std::vector&lt;uint32_t&gt; squeezeDims = ReadOptionalNodeUint32ListAttribute(nodeDef, <span class="stringliteral">&quot;squeeze_dims&quot;</span>);</div><div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>&#160; <span class="keyword">static</span> <span class="keyword">const</span> uint32_t dimensionSequence[] = { 0, 1, 2, 3 };</div><div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>&#160;</div><div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>&#160; <span class="keywordflow">if</span> (squeezeDims.empty())</div><div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>&#160; {</div><div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>&#160; squeezeDims.assign(dimensionSequence,</div><div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>&#160; dimensionSequence+inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>&#160; }</div><div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>&#160;</div><div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>&#160; std::vector&lt;uint32_t&gt; outputDims;</div><div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div><div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>&#160; {</div><div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>&#160; <span class="keywordtype">bool</span> skipSqueeze = (std::find(squeezeDims.begin(), squeezeDims.end(), i) == squeezeDims.end());</div><div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>&#160; <span class="keyword">auto</span> currentDimension = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div><div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>&#160; <span class="keywordflow">if</span> (skipSqueeze || currentDimension != 1)</div><div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>&#160; {</div><div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>&#160; outputDims.push_back(currentDimension);</div><div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>&#160; }</div><div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>&#160; }</div><div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>&#160;</div><div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>&#160; <span class="keywordflow">if</span> (outputDims.size() &gt; 4)</div><div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>&#160; {</div><div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>&#160; boost::str(</div><div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>&#160; boost::format(</div><div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>&#160; <span class="stringliteral">&quot;Unsupported number of dimensions: %1% for output shape for Squeeze %2% %3%&quot;</span>)</div><div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>&#160; % outputDims.size()</div><div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>&#160; % nodeDef.name()</div><div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>&#160; }</div><div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>&#160;</div><div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outShape = <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(static_cast&lt;unsigned int&gt;(outputDims.size()),</div><div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>&#160; outputDims.data());</div><div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>&#160;</div><div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outTensorInfo = inputTensorInfo;</div><div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>&#160; outTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(outShape);</div><div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>&#160; outTensorInfo.SetDataType(type);</div><div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>&#160;</div><div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>&#160; <span class="keywordflow">return</span> outTensorInfo;</div><div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
540<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
541<div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
542<div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
543<div class="ttc" id="classarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &amp;newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00090">Tensor.hpp:90</a></div></div>
544<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
545<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
546<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
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