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| <a href="_execution_helpers_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef __ARM_COMPUTE_GRAPH_DETAIL_EXECUTION_HELPERS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_GRAPH_DETAIL_EXECUTION_HELPERS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2graph_2_types_8h.xhtml">arm_compute/graph/Types.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span>graph</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment">// Forward declarations</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">class </span>Graph;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">class </span>GraphContext;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">class </span>ExecutionWorkload;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">class </span>Tensor;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">class </span>INode;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>detail</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a4d1a15b9a302932057b6914a3f0d63e9">validate_all_nodes</a>(Graph &g);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#aa8d3894a7c08f9ccdb658c9bfc029f7b">configure_all_tensors</a>(Graph &g);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a48d29cac8418ebb1bf56e5cc5b919739">allocate_all_input_tensors</a>(INode &node);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a40b09b9d37c94e336d382e63ee865302">allocate_all_output_tensors</a>(INode &node);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a5f602a155e97c02c99c3cf7cae8e9170">allocate_const_tensors</a>(Graph &g);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a3346eb1357a58532666a6ea36fb8a451">allocate_all_tensors</a>(Graph &g);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> ExecutionWorkload <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a33f72f448486906d0808bf637e4419d6">configure_all_nodes</a>(Graph &g, GraphContext &ctx, <span class="keyword">const</span> std::vector<NodeID> &node_order);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a2ba5c215b78c0bfccca306e205155881">release_unused_tensors</a>(Graph &g);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#ad7483030a7f4f38d05815f9814efea54">call_tensor_accessor</a>(Tensor *tensor);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a2fd00d8fd4a859c66575723e4c6f020b">call_all_const_node_accessors</a>(Graph &g);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a3ff637d6fce572ff9cf8f0c16037fa7f">call_all_input_node_accessors</a>(ExecutionWorkload &workload);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a8a15ab35471041bff9f06622999b75c0">call_all_output_node_accessors</a>(ExecutionWorkload &workload);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#a2fdb36e9de4ec027fe8ad4281d7c7c78">prepare_all_tasks</a>(ExecutionWorkload &workload);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1graph_1_1detail.xhtml#ad76981b4beca6dabee6a41cc708df3dd">call_all_tasks</a>(ExecutionWorkload &workload);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> } <span class="comment">// namespace graph</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_GRAPH_DETAIL_EXECUTION_HELPERS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_aa8d3894a7c08f9ccdb658c9bfc029f7b"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#aa8d3894a7c08f9ccdb658c9bfc029f7b">arm_compute::graph::detail::configure_all_tensors</a></div><div class="ttdeci">void configure_all_tensors(Graph &g)</div><div class="ttdoc">Configures all nodes of a graph. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a8a15ab35471041bff9f06622999b75c0"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a8a15ab35471041bff9f06622999b75c0">arm_compute::graph::detail::call_all_output_node_accessors</a></div><div class="ttdeci">bool call_all_output_node_accessors(ExecutionWorkload &workload)</div><div class="ttdoc">Call all output node accessors. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a48d29cac8418ebb1bf56e5cc5b919739"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a48d29cac8418ebb1bf56e5cc5b919739">arm_compute::graph::detail::allocate_all_input_tensors</a></div><div class="ttdeci">void allocate_all_input_tensors(INode &node)</div><div class="ttdoc">Allocates all input tensors of a node. </div></div> |
| <div class="ttc" id="arm__compute_2graph_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2graph_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a5f602a155e97c02c99c3cf7cae8e9170"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a5f602a155e97c02c99c3cf7cae8e9170">arm_compute::graph::detail::allocate_const_tensors</a></div><div class="ttdeci">void allocate_const_tensors(Graph &g)</div><div class="ttdoc">Allocates const tensor of a given graph. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a33f72f448486906d0808bf637e4419d6"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a33f72f448486906d0808bf637e4419d6">arm_compute::graph::detail::configure_all_nodes</a></div><div class="ttdeci">ExecutionWorkload configure_all_nodes(Graph &g, GraphContext &ctx, const std::vector< NodeID > &node_order)</div><div class="ttdoc">Configures all nodes of graph. </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a3346eb1357a58532666a6ea36fb8a451"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a3346eb1357a58532666a6ea36fb8a451">arm_compute::graph::detail::allocate_all_tensors</a></div><div class="ttdeci">void allocate_all_tensors(Graph &g)</div><div class="ttdoc">Allocates all tensors of a graph. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_ad76981b4beca6dabee6a41cc708df3dd"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#ad76981b4beca6dabee6a41cc708df3dd">arm_compute::graph::detail::call_all_tasks</a></div><div class="ttdeci">void call_all_tasks(ExecutionWorkload &workload)</div><div class="ttdoc">Executes all tasks of a workload. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_ad7483030a7f4f38d05815f9814efea54"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#ad7483030a7f4f38d05815f9814efea54">arm_compute::graph::detail::call_tensor_accessor</a></div><div class="ttdeci">void call_tensor_accessor(Tensor *tensor)</div><div class="ttdoc">Calls accessor of a given tensor. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a3ff637d6fce572ff9cf8f0c16037fa7f"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a3ff637d6fce572ff9cf8f0c16037fa7f">arm_compute::graph::detail::call_all_input_node_accessors</a></div><div class="ttdeci">bool call_all_input_node_accessors(ExecutionWorkload &workload)</div><div class="ttdoc">Call all input node accessors. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a2ba5c215b78c0bfccca306e205155881"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a2ba5c215b78c0bfccca306e205155881">arm_compute::graph::detail::release_unused_tensors</a></div><div class="ttdeci">void release_unused_tensors(Graph &g)</div><div class="ttdoc">Release the memory of all unused const nodes. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a4d1a15b9a302932057b6914a3f0d63e9"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a4d1a15b9a302932057b6914a3f0d63e9">arm_compute::graph::detail::validate_all_nodes</a></div><div class="ttdeci">void validate_all_nodes(Graph &g)</div><div class="ttdoc">Validates all nodes. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a40b09b9d37c94e336d382e63ee865302"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a40b09b9d37c94e336d382e63ee865302">arm_compute::graph::detail::allocate_all_output_tensors</a></div><div class="ttdeci">void allocate_all_output_tensors(INode &node)</div><div class="ttdoc">Allocates all output tensors of a node. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a2fd00d8fd4a859c66575723e4c6f020b"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a2fd00d8fd4a859c66575723e4c6f020b">arm_compute::graph::detail::call_all_const_node_accessors</a></div><div class="ttdeci">void call_all_const_node_accessors(Graph &g)</div><div class="ttdoc">Call all const node accessors. </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1detail_xhtml_a2fdb36e9de4ec027fe8ad4281d7c7c78"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1detail.xhtml#a2fdb36e9de4ec027fe8ad4281d7c7c78">arm_compute::graph::detail::prepare_all_tasks</a></div><div class="ttdeci">void prepare_all_tasks(ExecutionWorkload &workload)</div><div class="ttdoc">Prepares all tasks for execution. </div></div> |
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