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| <a href="_g_c_tensor_8cpp.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) 2017-2018 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> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_g_c_tensor_8h.xhtml">arm_compute/runtime/GLES_COMPUTE/GCTensor.h</a>"</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="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_g_c_tensor.xhtml#a4f2f38059311cf163fde21d2414048ee"> 29</a></span> <a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a4f2f38059311cf163fde21d2414048ee">GCTensor::GCTensor</a>()</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  : _allocator(this)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</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> </div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_g_c_tensor.xhtml#a44d1d7d909047fe63f5f6c11a9849986"> 34</a></span> <a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml">ITensorAllocator</a> *<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a44d1d7d909047fe63f5f6c11a9849986">GCTensor::allocator</a>()</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> &_allocator;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_g_c_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4"> 39</a></span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> *<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">GCTensor::info</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword"></span>{</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> &_allocator.<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#a29737b25723597c9708c662c7088e6c3">info</a>();</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> }</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_g_c_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5"> 44</a></span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> *<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">GCTensor::info</a>()</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> &_allocator.<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#a29737b25723597c9708c662c7088e6c3">info</a>();</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> }</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c"> 49</a></span> uint8_t *<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c">GCTensor::buffer</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword"></span>{</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> _allocator.<a class="code" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a99c07c946023f413991a249db8b99ab0">data</a>();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_g_c_tensor.xhtml#acccf4173f8c67e6f93ea3353c9590c9e"> 54</a></span> GLuint <a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#acccf4173f8c67e6f93ea3353c9590c9e">GCTensor::gc_buffer</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword"></span>{</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">return</span> _allocator.<a class="code" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#aae7e39f5c474c8bf6d4cdbef3af9b6cb">get_gl_ssbo_name</a>();</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002"> 59</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">GCTensor::map</a>(<span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">IGCTensor::map</a>(blocking);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c"> 64</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">GCTensor::unmap</a>()</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">IGCTensor::unmap</a>();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> uint8_t *GCTensor::do_map(<span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> _allocator.<a class="code" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a7ffd0f6fedc0eb3725d601f19a164631">map</a>(blocking);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keywordtype">void</span> GCTensor::do_unmap()</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  _allocator.<a class="code" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div><div class="ttc" id="classarm__compute_1_1_g_c_tensor_allocator_xhtml_a7ffd0f6fedc0eb3725d601f19a164631"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a7ffd0f6fedc0eb3725d601f19a164631">arm_compute::GCTensorAllocator::map</a></div><div class="ttdeci">uint8_t * map(bool blocking)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer on the given queue.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_allocator_8cpp_source.xhtml#l00089">GCTensorAllocator.cpp:89</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_g_c_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::IGCTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Map on an allocated buffer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_tensor_8cpp_source.xhtml#l00033">IGCTensor.cpp:33</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_g_c_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::IGCTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Unmap an allocated and mapped buffer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_tensor_8cpp_source.xhtml#l00038">IGCTensor.cpp:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_allocator_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::GCTensorAllocator::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated buffer on the given queue.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_allocator_8cpp_source.xhtml#l00098">GCTensorAllocator.cpp:98</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_acccf4173f8c67e6f93ea3353c9590c9e"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#acccf4173f8c67e6f93ea3353c9590c9e">arm_compute::GCTensor::gc_buffer</a></div><div class="ttdeci">GLuint gc_buffer() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's gles compute buffer id.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00054">GCTensor.cpp:54</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a24954cca5108a24706441fd99a7fb04c"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c">arm_compute::GCTensor::buffer</a></div><div class="ttdeci">uint8_t * buffer() const override</div><div class="ttdoc">Interface to be implemented by the child class to return a pointer to CPU memory.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00049">GCTensor.cpp:49</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_allocator_xhtml_a99c07c946023f413991a249db8b99ab0"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a99c07c946023f413991a249db8b99ab0">arm_compute::GCTensorAllocator::data</a></div><div class="ttdeci">uint8_t * data()</div><div class="ttdoc">Interface to be implemented by the child class to return the pointer to the mapped data.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_allocator_8cpp_source.xhtml#l00040">GCTensorAllocator.cpp:40</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_allocator_xhtml_aae7e39f5c474c8bf6d4cdbef3af9b6cb"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#aae7e39f5c474c8bf6d4cdbef3af9b6cb">arm_compute::GCTensorAllocator::get_gl_ssbo_name</a></div><div class="ttdeci">GLuint get_gl_ssbo_name() const</div><div class="ttdoc">Get the OpenGL ES buffer object name.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_allocator_8cpp_source.xhtml#l00084">GCTensorAllocator.cpp:84</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_allocator_xhtml_a29737b25723597c9708c662c7088e6c3"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_allocator.xhtml#a29737b25723597c9708c662c7088e6c3">arm_compute::ITensorAllocator::info</a></div><div class="ttdeci">TensorInfo & info()</div><div class="ttdoc">Return a reference to the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_allocator_8cpp_source.xhtml#l00044">ITensorAllocator.cpp:44</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::GCTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer on the given queue.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00064">GCTensor.cpp:64</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::GCTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00039">GCTensor.cpp:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::GCTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer on the given queue.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00059">GCTensor.cpp:59</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a4f2f38059311cf163fde21d2414048ee"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a4f2f38059311cf163fde21d2414048ee">arm_compute::GCTensor::GCTensor</a></div><div class="ttdeci">GCTensor()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00029">GCTensor.cpp:29</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_allocator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_allocator.xhtml">arm_compute::ITensorAllocator</a></div><div class="ttdoc">Interface to allocate tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_allocator_8h_source.xhtml#l00035">ITensorAllocator.h:35</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a44d1d7d909047fe63f5f6c11a9849986"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a44d1d7d909047fe63f5f6c11a9849986">arm_compute::GCTensor::allocator</a></div><div class="ttdeci">ITensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00034">GCTensor.cpp:34</a></div></div> |
| <div class="ttc" id="_g_c_tensor_8h_xhtml"><div class="ttname"><a href="_g_c_tensor_8h.xhtml">GCTensor.h</a></div></div> |
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