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review.mlplatform.org / ml / armnn / 36eed46563a2a254e674865eb8ede62a1558c997 / . / Documentation / namespacemembers_f.html
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31 <div id="projectname">ArmNN
32 &#160;<span id="projectnumber">NotReleased</span>
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81
82<div class="contents">
83<div class="textblock">Here is a list of all namespace members with links to the namespace documentation for each member:</div>
84
85<h3><a id="index_f"></a>- f -</h3><ul>
86<li>FactoryId
87: <a class="el" href="namespacearmnn.html#a947e07902b1b5d98b57eeae34053146b">armnn</a>
88</li>
89<li>FakeQuantization()
90: <a class="el" href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3">armnn</a>
91</li>
92<li>FalseFunc()
93: <a class="el" href="namespacearmnn.html#a6e64aab48baba12883c73e90bfd07e77">armnn</a>
94</li>
95<li>FalseFuncF16()
96: <a class="el" href="namespacearmnn.html#a621c8ffe11bba3d7ab304a9ad3feec2f">armnn</a>
97</li>
98<li>FalseFuncF32()
99: <a class="el" href="namespacearmnn.html#a02d627e25da543b79ee8a59a1193a426">armnn</a>
100</li>
101<li>FalseFuncI32()
102: <a class="el" href="namespacearmnn.html#a07ae80b502ab664f1aaf7d6c00725982">armnn</a>
103</li>
104<li>FalseFuncU8()
105: <a class="el" href="namespacearmnn.html#a4e4802d0916cb8b7da508ab03ce1f163">armnn</a>
106</li>
107<li>FalseInputFuncF16()
108: <a class="el" href="namespacearmnn.html#a216969fbba54df95de3e68435b8074d7">armnn</a>
109</li>
110<li>FalseInputFuncF32()
111: <a class="el" href="namespacearmnn.html#a0b55e509dd7e3bfea233a389a18c21e6">armnn</a>
112</li>
113<li>FalseOutputFuncF16()
114: <a class="el" href="namespacearmnn.html#a2febf8d85a92b69e4a677a7c632418ee">armnn</a>
115</li>
116<li>FalseOutputFuncF32()
117: <a class="el" href="namespacearmnn.html#ad3d0087e2533d808debd5c959fb3901f">armnn</a>
118</li>
119<li>FindKernelMeasurements()
120: <a class="el" href="namespacearmnn.html#a1b90db39f6a9ebd11591e76fa364b06f">armnn</a>
121</li>
122<li>FindMeasurement()
123: <a class="el" href="namespacearmnn.html#a12d3ffe11b54c0aaa59bdd8415701c36">armnn</a>
124</li>
125<li>FindMinMax()
126: <a class="el" href="namespacearmnn_utils.html#a1c9097ab13afc54b48c503c6487aaee1">armnnUtils</a>
127</li>
128<li>Float16ToFloat32Workload
129: <a class="el" href="namespacearmnn.html#a827d59b5a779a8089017802172817f3c">armnn</a>
130</li>
131<li>Float32ToFloat16Workload
132: <a class="el" href="namespacearmnn.html#a6486138451112140f98516c0bee18615">armnn</a>
133</li>
134<li>Float32Workload
135: <a class="el" href="namespacearmnn.html#a0493144f15b35804a133c9aa0b63fcc9">armnn</a>
136</li>
137<li>FloatWorkload
138: <a class="el" href="namespacearmnn.html#abaedcfd0ae08790c03bfe8ba7586dd84">armnn</a>
139</li>
140<li>FoldPadIntoConvolution2d
141: <a class="el" href="namespacearmnn_1_1optimizations.html#add2180a15cdcf5a229de32bb956cb224">armnn::optimizations</a>
142</li>
143<li>ForEachLayerInput()
144: <a class="el" href="namespacearmnn.html#afce94270d9c4a51cd0c4ac6a58af4e26">armnn</a>
145</li>
146<li>ForEachLayerOutput()
147: <a class="el" href="namespacearmnn.html#a49538fa883b70c944e437d65d6628eec">armnn</a>
148</li>
149<li>Fp32NetworkToFp16Converter
150: <a class="el" href="namespacearmnn_1_1optimizations.html#a86d19da62b6cfed3928f6fe7026f22fa">armnn::optimizations</a>
151</li>
152<li>FullyConnected()
153: <a class="el" href="namespacearmnn.html#ad34d1d5b1ca8f52dc296ecf52ba20c8a">armnn</a>
154</li>
155</ul>
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