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<div class="title">GpuFsaTensorHandle.cpp</div> </div>
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<a href="_gpu_fsa_tensor_handle_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_gpu_fsa_tensor_handle_8hpp.html">GpuFsaTensorHandle.hpp</a>&quot;</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;{</div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a73b2cba0770be6487f6f95cb05883b61">GpuFsaTensorHandle::GpuFsaTensorHandle</a>(<span class="keyword">const</span> TensorInfo&amp; tensorInfo,</div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; std::shared_ptr&lt;GpuFsaMemoryManager&gt;&amp; memoryManager)</div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160; : m_TensorInfo(tensorInfo)</div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; , m_MemoryManager(memoryManager)</div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; , m_Pool(nullptr)</div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; , m_UnmanagedMemory(nullptr)</div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; , m_ImportFlags(static_cast&lt;<a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a>&gt;(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>::<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Undefined</a>))</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; , m_Imported(false)</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; , m_IsImportEnabled(false)</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;{}</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a73b2cba0770be6487f6f95cb05883b61">GpuFsaTensorHandle::GpuFsaTensorHandle</a>(<span class="keyword">const</span> TensorInfo&amp; tensorInfo,</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> importFlags)</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; : m_TensorInfo(tensorInfo)</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; , m_Pool(nullptr)</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; , m_UnmanagedMemory(nullptr)</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; , m_ImportFlags(importFlags)</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; , m_Imported(false)</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; , m_IsImportEnabled(true)</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;{}</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;GpuFsaTensorHandle::~GpuFsaTensorHandle()</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;{</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keywordflow">if</span> (!m_Pool)</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; {</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="comment">// unmanaged</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordflow">if</span> (!m_Imported)</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; ::operator <span class="keyword">delete</span>(m_UnmanagedMemory);</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; }</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; }</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;}</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; </div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aca21728cdaa75f9d656d25ae7200ade5">GpuFsaTensorHandle::Manage</a>()</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordflow">if</span> (!m_IsImportEnabled)</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">if</span> (m_Pool == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; {</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordflow">throw</span> MemoryValidationException(<span class="stringliteral">&quot;GpuFsaTensorHandle::Manage() called twice&quot;</span>);</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; }</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">if</span> (m_UnmanagedMemory == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; {</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">throw</span> MemoryValidationException(<span class="stringliteral">&quot;GpuFsaTensorHandle::Manage() called after Allocate()&quot;</span>);</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; }</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; m_Pool = m_MemoryManager-&gt;Manage(m_TensorInfo.GetNumBytes());</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; }</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;}</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a8518772c5d692e334a76617582b10b92">GpuFsaTensorHandle::Allocate</a>()</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;{</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="comment">// If import is enabled, do not allocate the tensor</span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">if</span> (!m_IsImportEnabled)</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; {</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; </div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordflow">if</span> (!m_UnmanagedMemory)</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">if</span> (!m_Pool)</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; {</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="comment">// unmanaged</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; m_UnmanagedMemory = ::operator <span class="keyword">new</span>(m_TensorInfo.GetNumBytes());</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; m_MemoryManager-&gt;Allocate(m_Pool);</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; }</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; }</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;GpuFsaTensorHandle::Allocate Trying to allocate a GpuFsaTensorHandle&quot;</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="stringliteral">&quot;that already has allocated memory.&quot;</span>);</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; }</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; }</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;}</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="keyword">const</span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a96ffc085ec42d7c333304ab92e09cd60">GpuFsaTensorHandle::Map</a>(<span class="keywordtype">bool</span> <span class="comment">/*unused*/</span>)<span class="keyword"> const</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_gpu_fsa_memory_manager.html#ab236ab01a8959f4b273b388c09548238">GetPointer</a>();</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;}</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<span class="keywordtype">void</span>* GpuFsaTensorHandle::GetPointer()<span class="keyword"> const</span></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">if</span> (m_UnmanagedMemory)</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; {</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">return</span> m_UnmanagedMemory;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; }</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_Pool)</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; {</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">return</span> m_MemoryManager-&gt;GetPointer(m_Pool);</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; {</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">throw</span> NullPointerException(<span class="stringliteral">&quot;GpuFsaTensorHandle::GetPointer called on unmanaged, unallocated tensor handle&quot;</span>);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; }</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;}</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; </div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;<span class="keywordtype">void</span> GpuFsaTensorHandle::CopyOutTo(<span class="keywordtype">void</span>* dest)<span class="keyword"> const</span></div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keyword">const</span> <span class="keywordtype">void</span> *src = <a class="code" href="classarmnn_1_1_gpu_fsa_memory_manager.html#ab236ab01a8959f4b273b388c09548238">GetPointer</a>();</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keywordflow">if</span> (src == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; {</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">throw</span> MemoryValidationException(<span class="stringliteral">&quot;GpuFsaTensorhandle: CopyOutTo: Invalid memory src pointer&quot;</span>);</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; }</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; memcpy(dest, src, m_TensorInfo.GetNumBytes());</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;}</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;<span class="keywordtype">void</span> GpuFsaTensorHandle::CopyInFrom(<span class="keyword">const</span> <span class="keywordtype">void</span>* src)</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;{</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keywordtype">void</span> *dest = <a class="code" href="classarmnn_1_1_gpu_fsa_memory_manager.html#ab236ab01a8959f4b273b388c09548238">GetPointer</a>();</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordflow">if</span> (dest == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; {</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">throw</span> MemoryValidationException(<span class="stringliteral">&quot;GpuFsaTensorhandle: CopyInFrom: Invalid memory dest pointer&quot;</span>);</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; }</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; memcpy(dest, src, m_TensorInfo.GetNumBytes());</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;}</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; </div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab74840a06082b2a5693b1ff79706fa26">GpuFsaTensorHandle::Import</a>(<span class="keywordtype">void</span>* memory, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> source)</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;{</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordflow">if</span> (m_ImportFlags &amp; <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(source))</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; {</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keywordflow">if</span> (m_IsImportEnabled &amp;&amp; source == <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>)</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; {</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="comment">// Check memory alignment</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keywordflow">if</span>(!CanBeImported(memory, source))</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; {</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keywordflow">if</span> (m_Imported)</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; {</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; m_Imported = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; m_UnmanagedMemory = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; }</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; }</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; </div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="comment">// m_UnmanagedMemory not yet allocated.</span></div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">if</span> (!m_Imported &amp;&amp; !m_UnmanagedMemory)</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; {</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; m_UnmanagedMemory = memory;</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; m_Imported = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; }</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="comment">// m_UnmanagedMemory initially allocated with Allocate().</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordflow">if</span> (!m_Imported &amp;&amp; m_UnmanagedMemory)</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; {</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; }</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="comment">// m_UnmanagedMemory previously imported.</span></div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">if</span> (m_Imported)</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; {</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; m_UnmanagedMemory = memory;</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; }</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; }</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; }</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; </div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;}</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; </div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a92431657a8c9fbcf38baf7701d90e5c6">GpuFsaTensorHandle::CanBeImported</a>(<span class="keywordtype">void</span>* memory, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> source)</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;{</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keywordflow">if</span> (m_ImportFlags &amp; <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(source))</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">if</span> (m_IsImportEnabled &amp;&amp; source == <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>)</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; {</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; uintptr_t alignment = <a class="code" href="namespacearmnn.html#aa02b9e06fb20fa3c13da0427e6ee5ab2">GetDataTypeSize</a>(m_TensorInfo.GetDataType());</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keywordflow">if</span> (<span class="keyword">reinterpret_cast&lt;</span>uintptr_t<span class="keyword">&gt;</span>(memory) % alignment)</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; {</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; }</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; }</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; }</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;}</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; </div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; </div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; </div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;}</div>
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<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a></div><div class="ttdeci">@ Malloc</div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a73b2cba0770be6487f6f95cb05883b61"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a73b2cba0770be6487f6f95cb05883b61">armnn::GpuFsaTensorHandle::GpuFsaTensorHandle</a></div><div class="ttdeci">GpuFsaTensorHandle(const TensorInfo &amp;tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00028">GpuFsaTensorHandle.hpp:28</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_ab74840a06082b2a5693b1ff79706fa26"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab74840a06082b2a5693b1ff79706fa26">armnn::GpuFsaTensorHandle::Import</a></div><div class="ttdeci">virtual bool Import(void *, MemorySource source) override</div><div class="ttdoc">Import externally allocated memory.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00121">GpuFsaTensorHandle.hpp:121</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a5b05f3b7208ec7cea3338e30057c0bac"><div class="ttname"><a href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">armnn::MemorySourceFlags</a></div><div class="ttdeci">unsigned int MemorySourceFlags</div><div class="ttdef"><b>Definition:</b> <a href="_memory_sources_8hpp_source.html#l00015">MemorySources.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a8518772c5d692e334a76617582b10b92"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a8518772c5d692e334a76617582b10b92">armnn::GpuFsaTensorHandle::Allocate</a></div><div class="ttdeci">virtual void Allocate() override</div><div class="ttdoc">Indicate to the memory manager that this resource is no longer active.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00048">GpuFsaTensorHandle.hpp:48</a></div></div>
<div class="ttc" id="a_gpu_fsa_tensor_handle_8hpp_html"><div class="ttname"><a href="_gpu_fsa_tensor_handle_8hpp.html">GpuFsaTensorHandle.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_memory_manager_html_ab236ab01a8959f4b273b388c09548238"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_memory_manager.html#ab236ab01a8959f4b273b388c09548238">armnn::GpuFsaMemoryManager::GetPointer</a></div><div class="ttdeci">void * GetPointer(Pool *pool)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_memory_manager_8cpp_source.html#l00045">GpuFsaMemoryManager.cpp:45</a></div></div>
<div class="ttc" id="anamespacearmnn_html_aa02b9e06fb20fa3c13da0427e6ee5ab2"><div class="ttname"><a href="namespacearmnn.html#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a></div><div class="ttdeci">constexpr unsigned int GetDataTypeSize(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00182">TypesUtils.hpp:182</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_aca21728cdaa75f9d656d25ae7200ade5"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aca21728cdaa75f9d656d25ae7200ade5">armnn::GpuFsaTensorHandle::Manage</a></div><div class="ttdeci">virtual void Manage() override</div><div class="ttdoc">Indicate to the memory manager that this resource is active.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00062">GpuFsaTensorHandle.hpp:62</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">armnn::MemorySource</a></div><div class="ttdeci">MemorySource</div><div class="ttdoc">Define the Memory Source to reduce copies.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00244">Types.hpp:244</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a96ffc085ec42d7c333304ab92e09cd60"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a96ffc085ec42d7c333304ab92e09cd60">armnn::GpuFsaTensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const override</div><div class="ttdoc">Map the tensor data for access.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00076">GpuFsaTensorHandle.hpp:76</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a92431657a8c9fbcf38baf7701d90e5c6"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a92431657a8c9fbcf38baf7701d90e5c6">armnn::GpuFsaTensorHandle::CanBeImported</a></div><div class="ttdeci">virtual bool CanBeImported(void *, MemorySource) override</div><div class="ttdoc">Implementations must determine if this memory block can be imported.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00131">GpuFsaTensorHandle.hpp:131</a></div></div>
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