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| <a href="_n_e_activation_layer_kernel_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) 2017-2019 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">#include "<a class="code" href="_n_e_activation_layer_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEActivationLayerKernel.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_c_p_p_2_validate_8h.xhtml">arm_compute/core/CPP/Validate.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_8h.xhtml">arm_compute/core/ITensor.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_n_e_asymm_8h.xhtml">arm_compute/core/NEON/NEAsymm.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_n_e_fixed_point_8h.xhtml">arm_compute/core/NEON/NEFixedPoint.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_n_e_math_8h.xhtml">arm_compute/core/NEON/NEMath.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_n_e_symm_8h.xhtml">arm_compute/core/NEON/NESymm.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="wrapper_8h.xhtml">arm_compute/core/NEON/wrapper/wrapper.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_tensor_info_8h.xhtml">arm_compute/core/TensorInfo.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_validate_8h.xhtml">arm_compute/core/Validate.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_window_8h.xhtml">arm_compute/core/Window.h</a>"</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"> 39</span> <span class="preprocessor">#include <arm_neon.h></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include <cmath></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include <map></span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include <set></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">namespace</span></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> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> validate_arguments(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &activation_info)</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="_c_p_p_2_validate_8h.xhtml#ad2633f3560322e1f8d926949dec1b730">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a>(input);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(input, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</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>  <span class="keyword">static</span> std::set<ActivationLayerInfo::ActivationFunction> qasymm8_supported_activations =</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a></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>  <span class="keyword">static</span> std::set<ActivationLayerInfo::ActivationFunction> qsymm16_supported_activations =</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>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</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>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a> = input-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &oq_info = (output != <span class="keyword">nullptr</span>) ? output-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>() : input-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationLayerInfo::ActivationFunction</a> f_act = activation_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a9e0fb1d1462557f28966ae19988532c2">activation</a>();</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>) && (qasymm8_supported_activations.count(f_act) == 0),</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="stringliteral">"For QASYMM8 only tanh, logistic, relu and lower/upper bounded relu are supported"</span>);</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>  <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute.xhtml#a922cd85c475c0d725fc030116ea57979">is_data_type_quantized_symmetric</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>) && (qsymm16_supported_activations.count(f_act) == 0),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="stringliteral">"For QSYMM16 only tanh and logistic are supported"</span>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>) && (f_act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a>) && (oq_info != <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 128.f, 128)));</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>) && (f_act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>) && (oq_info != <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 256.f, 0)));</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(<a class="code" href="namespacearm__compute.xhtml#a922cd85c475c0d725fc030116ea57979">is_data_type_quantized_symmetric</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>) && (f_act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a>) && (oq_info != <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 32768.f, 0)));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(<a class="code" href="namespacearm__compute.xhtml#a922cd85c475c0d725fc030116ea57979">is_data_type_quantized_symmetric</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>) && (f_act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>) && (oq_info != <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 32768.f, 0)));</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Checks performed when output is configured</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">if</span>((output != <span class="keyword">nullptr</span>) && (output-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">total_size</a>() != 0))</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="_validate_8h.xhtml#a27e4638546c88b8916f967e6e54480a9">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES</a>(input, output);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="_validate_8h.xhtml#a8f3ff7da485ff7e75dab07baadf5b4bd">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES</a>(input, output);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> std::pair<Status, Window> <a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(*input, <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>());</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">if</span>(output != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Output auto inizialitation if not yet initialized</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">auto_init_if_empty</a>(*output, *input-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// NEActivationLayerKernel doesn't need padding so update_window_and_padding() can be skipped</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> coord;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  coord.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">set_num_dimensions</a>(output-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  output-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">set_valid_region</a>(<a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a>(coord, output-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()));</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> std::make_pair(<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{}, win);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2"> 111</a></span> <a class="code" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2">NEActivationLayerKernel::NEActivationLayerKernel</a>()</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  : _input(nullptr), _output(nullptr), _func(nullptr), _act_info(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a>::LOGISTIC)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b"> 116</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b">NEActivationLayerKernel::configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> activation_info)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  _input = input;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  _act_info = activation_info;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  _output = input;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">if</span>(output != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  _output = output;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), (output != <span class="keyword">nullptr</span>) ? output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>() : <span class="keyword">nullptr</span>, activation_info));</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// Activation functions : FP32</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">static</span> std::map<ActivationFunction, ActivationFunctionExecutorPtr> act_map_f32 =</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c">ActivationFunction::ABS</a>, &NEActivationLayerKernel::activation<ActivationFunction::ABS, float> },</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">ActivationFunction::LINEAR</a>, &NEActivationLayerKernel::activation<ActivationFunction::LINEAR, float> },</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>, &NEActivationLayerKernel::activation<ActivationFunction::LOGISTIC, float> },</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationFunction::RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::RELU, float> },</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationFunction::BOUNDED_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::BOUNDED_RELU, float> },</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationFunction::LU_BOUNDED_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::LU_BOUNDED_RELU, float> },</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10">ActivationFunction::LEAKY_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::LEAKY_RELU, float> },</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">ActivationFunction::SOFT_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::SOFT_RELU, float> },</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationFunction::SQRT</a>, &NEActivationLayerKernel::activation<ActivationFunction::SQRT, float> },</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">ActivationFunction::SQUARE</a>, &NEActivationLayerKernel::activation<ActivationFunction::SQUARE, float> },</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>, &NEActivationLayerKernel::activation<ActivationFunction::TANH, float> },</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad8156d3c6735d75d8a1b8dedd0e79c8b">ActivationFunction::IDENTITY</a>, &NEActivationLayerKernel::activation<ActivationFunction::IDENTITY, float> },</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  };</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Activation functions : FP16</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">static</span> std::map<ActivationFunction, ActivationFunctionExecutorPtr> act_map_f16 =</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c">ActivationFunction::ABS</a>, &NEActivationLayerKernel::activation<ActivationFunction::ABS, float16_t> },</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">ActivationFunction::LINEAR</a>, &NEActivationLayerKernel::activation<ActivationFunction::LINEAR, float16_t> },</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>, &NEActivationLayerKernel::activation<ActivationFunction::LOGISTIC, float16_t> },</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationFunction::RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::RELU, float16_t> },</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationFunction::BOUNDED_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::BOUNDED_RELU, float16_t> },</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationFunction::LU_BOUNDED_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::LU_BOUNDED_RELU, float16_t> },</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10">ActivationFunction::LEAKY_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::LEAKY_RELU, float16_t> },</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">ActivationFunction::SOFT_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::SOFT_RELU, float16_t> },</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationFunction::SQRT</a>, &NEActivationLayerKernel::activation<ActivationFunction::SQRT, float16_t> },</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">ActivationFunction::SQUARE</a>, &NEActivationLayerKernel::activation<ActivationFunction::SQUARE, float16_t> },</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>, &NEActivationLayerKernel::activation<ActivationFunction::TANH, float16_t> },</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad8156d3c6735d75d8a1b8dedd0e79c8b">ActivationFunction::IDENTITY</a>, &NEActivationLayerKernel::activation<ActivationFunction::IDENTITY, float16_t> },</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  };</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/</span><span class="preprocessor"></span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// Activation functions : QASYMM8</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">static</span> std::map<ActivationFunction, ActivationFunctionExecutorPtr> act_map_qasymm8 =</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>, &NEActivationLayerKernel::activation<ActivationFunction::LOGISTIC, qasymm8_t> },</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationFunction::BOUNDED_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::BOUNDED_RELU, qasymm8_t> },</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationFunction::LU_BOUNDED_RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::LU_BOUNDED_RELU, qasymm8_t> },</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationFunction::RELU</a>, &NEActivationLayerKernel::activation<ActivationFunction::RELU, qasymm8_t> },</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>, &NEActivationLayerKernel::activation<ActivationFunction::TANH, qasymm8_t> },</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad8156d3c6735d75d8a1b8dedd0e79c8b">ActivationFunction::IDENTITY</a>, &NEActivationLayerKernel::activation<ActivationFunction::IDENTITY, qasymm8_t> },</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  };</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// Activation functions : QSYMM16</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">static</span> std::map<ActivationFunction, ActivationFunctionExecutorPtr> act_map_qsymm16 =</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>, &NEActivationLayerKernel::activation<ActivationFunction::LOGISTIC, qsymm16_t> },</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>, &NEActivationLayerKernel::activation<ActivationFunction::TANH, qsymm16_t> },</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  };</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">switch</span>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>())</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  _func = act_map_qasymm8[activation_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a9e0fb1d1462557f28966ae19988532c2">activation</a>()];</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>:</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  _func = act_map_qsymm16[activation_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a9e0fb1d1462557f28966ae19988532c2">activation</a>()];</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  _func = act_map_f32[activation_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a9e0fb1d1462557f28966ae19988532c2">activation</a>()];</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  _func = act_map_f16[activation_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a9e0fb1d1462557f28966ae19988532c2">activation</a>()];</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported data type."</span>);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">auto</span> win_config = <a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), (output != <span class="keyword">nullptr</span>) ? output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>() : <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(win_config.first);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  ICPPKernel::configure(win_config.second);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">template</span> <ActivationLayerInfo::ActivationFunction F, <span class="keyword">typename</span> T></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keyword">typename</span> std::enable_if<arm_compute::utils::traits::is_floating_point<T>::value, <span class="keywordtype">void</span>>::type</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> NEActivationLayerKernel::activation(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window)</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">using</span> ExactTagType = <span class="keyword">typename</span> <a class="code" href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#acf6b3be295be8dbd7897536bcd7561a3">wrapper::traits::neon_bitvector_tag_t<T, wrapper::traits::BitWidth::W128></a>;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = 16 / <span class="keyword">sizeof</span>(T);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast<int>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>());</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast<int>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>());</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">const</span> ActivationFunction act = F;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win_collapsed = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">collapse_if_possible</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  win_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input(_input, win_collapsed);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(_output, win_collapsed);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> <span class="keyword">auto</span> const_1 = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(static_cast<T>(1.f), ExactTagType{});</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">const</span> <span class="keyword">auto</span> const_0 = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(static_cast<T>(0.f), ExactTagType{});</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keyword">const</span> <span class="keyword">auto</span> va = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(static_cast<T>(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">a</a>()), ExactTagType{});</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vb = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(static_cast<T>(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">b</a>()), ExactTagType{});</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> <span class="keyword">auto</span> a = static_cast<T>(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">a</a>());</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = static_cast<T>(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">b</a>());</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win_collapsed, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &)</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <span class="keyword">auto</span> input_ptr = reinterpret_cast<const T *>(input.ptr());</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast<T *>(output.ptr());</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#ad302081ac4baa4f94e7628d84421052c">wrapper::traits::neon_bitvector_t<T, wrapper::traits::BitWidth::W128></a> tmp;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vin = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input_ptr + x);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">switch</span>(act)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c">ActivationFunction::ABS</a>:</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4c1fe3150ad2ca29262dc6403605e65c">wrapper::vabs</a>(vin);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">ActivationFunction::LINEAR</a>:</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(vb, va, vin);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>:</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a5ac8135a2c0a60f10448be0057543ed7">wrapper::vinv</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(const_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">wrapper::vexpq</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7">wrapper::vneg</a>(vin))));</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationFunction::RELU</a>:</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8d1d14000c959f1146a8a64e1dafae5f">wrapper::vmax</a>(const_0, vin);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationFunction::BOUNDED_RELU</a>:</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ab026a1aeec48074092f548c130c323f4">wrapper::vmin</a>(va, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8d1d14000c959f1146a8a64e1dafae5f">wrapper::vmax</a>(const_0, vin));</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationFunction::LU_BOUNDED_RELU</a>:</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ab026a1aeec48074092f548c130c323f4">wrapper::vmin</a>(va, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8d1d14000c959f1146a8a64e1dafae5f">wrapper::vmax</a>(vb, vin));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10">ActivationFunction::LEAKY_RELU</a>:</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8e5924674eee0f441d54eb75d656700f">wrapper::vbsl</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a7eedba29396b0db728bffdf5f202d85c">wrapper::vcgt</a>(vin, const_0), vin, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(va, vin));</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">ActivationFunction::SOFT_RELU</a>:</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a23cc34c6476b7df556284c718c44e65c">wrapper::vlog</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(const_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">wrapper::vexpq</a>(vin)));</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationFunction::SQRT</a>:</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a5ac8135a2c0a60f10448be0057543ed7">wrapper::vinv</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a569988c8e1a2619532b8f4d0394d5d79">wrapper::vinvsqrt</a>(vin));</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">ActivationFunction::SQUARE</a>:</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vin, vin);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>:</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(va, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0">wrapper::vtanh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vb, vin)));</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad8156d3c6735d75d8a1b8dedd0e79c8b">ActivationFunction::IDENTITY</a>:</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  tmp = vin;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported activation function"</span>);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, tmp);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">for</span>(; x < window_end_x; ++x)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">const</span> T in = *(reinterpret_cast<const T *>(input_ptr + x));</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  T tmp;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">switch</span>(act)</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c">ActivationFunction::ABS</a>:</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  tmp = std::abs(in);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">ActivationFunction::LINEAR</a>:</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  tmp = a * in + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>:</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  tmp = static_cast<T>(1) / (static_cast<T>(1) + std::exp(-in));</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationFunction::RELU</a>:</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  tmp = std::max<T>(static_cast<T>(0), in);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationFunction::BOUNDED_RELU</a>:</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  tmp = std::min<T>(a, std::max(static_cast<T>(0), in));</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationFunction::LU_BOUNDED_RELU</a>:</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  tmp = std::min<T>(a, std::max<T>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, in));</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10">ActivationFunction::LEAKY_RELU</a>:</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  tmp = (in > 0) ? in : a * in;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">ActivationFunction::SOFT_RELU</a>:</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  tmp = std::log(static_cast<T>(1) + std::exp(in));</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationFunction::SQRT</a>:</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  tmp = std::sqrt(in);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">ActivationFunction::SQUARE</a>:</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  tmp = in * in;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>:</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  tmp = a * std::tanh(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * in);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad8156d3c6735d75d8a1b8dedd0e79c8b">ActivationFunction::IDENTITY</a>:</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  tmp = in;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported activation function"</span>);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  }</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  *(output_ptr + x) = tmp;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  },</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  input, output);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> }</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <span class="keyword">template</span> <ActivationLayerInfo::ActivationFunction F, <span class="keyword">typename</span> T></div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="keyword">typename</span> std::enable_if<std::is_same<T, qasymm8_t>::value, <span class="keywordtype">void</span>>::type NEActivationLayerKernel::activation(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window)</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = 16 / <span class="keyword">sizeof</span>(T);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast<int>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>());</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast<int>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>());</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keyword">const</span> ActivationFunction act = F;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win_collapsed = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">collapse_if_possible</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  win_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input(_input, win_collapsed);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(_output, win_collapsed);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> qi_in = _input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> qi_out = _output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac7e1832b8c58f07a98fc8d390b16ac27">qasymm8x16_t</a> va = vdupq_n_u8(<a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">a</a>(), qi_in));</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac7e1832b8c58f07a98fc8d390b16ac27">qasymm8x16_t</a> vb = vdupq_n_u8(<a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">b</a>(), qi_in));</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ab8938bcb3ec0f5f8d93285eb3a28b701">qasymm8_t</a> a = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">a</a>(), qi_in);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ab8938bcb3ec0f5f8d93285eb3a28b701">qasymm8_t</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">b</a>(), qi_in);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ab8938bcb3ec0f5f8d93285eb3a28b701">qasymm8_t</a> const_0 = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(0.f, qi_in);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac7e1832b8c58f07a98fc8d390b16ac27">qasymm8x16_t</a> vconst_0 = vdupq_n_u8(const_0);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vconst_1 = vdupq_n_f32(1.f);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keyword">const</span> float32x4_t va_f32 = vdupq_n_f32(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">a</a>());</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">const</span> float32x4_t vb_f32 = vdupq_n_f32(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">b</a>());</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a_f32 = _act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">a</a>();</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> b_f32 = _act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">b</a>();</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="comment">// Initialise scale/offset for re-quantization</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordtype">float</span> s = qi_in.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a> / qi_out.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordtype">float</span> o = -qi_in.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a> * s + qi_out.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a>;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  float32x4_t vs = vdupq_n_f32(s);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  float32x4_t vo = vdupq_n_f32(o);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win_collapsed, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &)</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  {</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keyword">const</span> <span class="keyword">auto</span> input_ptr = reinterpret_cast<const T *>(input.ptr());</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast<T *>(output.ptr());</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#ad302081ac4baa4f94e7628d84421052c">wrapper::traits::neon_bitvector_t<T, wrapper::traits::BitWidth::W128></a> tmp;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> </div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  {</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vin = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input_ptr + x);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationFunction::RELU</a>)</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  {</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  tmp = vmaxq_u8(vconst_0, vin);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="comment">// Re-quantize to new output space</span></div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#aba8de9eaa10a7cb45c5aa603585d0e4c">vmlaq_qasymm8</a>(tmp, vs, vo);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationFunction::BOUNDED_RELU</a>)</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  {</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  tmp = vminq_u8(va, vmaxq_u8(vconst_0, vin));</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="comment">// Re-quantize to new output space</span></div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#aba8de9eaa10a7cb45c5aa603585d0e4c">vmlaq_qasymm8</a>(tmp, vs, vo);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  }</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationFunction::LU_BOUNDED_RELU</a>)</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  {</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  tmp = vminq_u8(va, vmaxq_u8(vb, vin));</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// Re-quantize to new output space</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#aba8de9eaa10a7cb45c5aa603585d0e4c">vmlaq_qasymm8</a>(tmp, vs, vo);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  }</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>)</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="comment">// De-quantize</span></div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vin_deq = <a class="code" href="namespacearm__compute.xhtml#a485ae62f3ade6c8d33c5c2e85b29c3a7">vdequantize</a>(vin, qi_in);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keyword">const</span> float32x4x4_t tmp_dep =</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  {</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">wrapper::vdiv</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">wrapper::vexpq</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7">wrapper::vneg</a>(vin_deq.val[0])))),</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">wrapper::vdiv</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">wrapper::vexpq</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7">wrapper::vneg</a>(vin_deq.val[1])))),</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">wrapper::vdiv</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">wrapper::vexpq</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7">wrapper::vneg</a>(vin_deq.val[2])))),</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">wrapper::vdiv</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">wrapper::vexpq</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7">wrapper::vneg</a>(vin_deq.val[3])))),</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  };</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="comment">// Re-quantize to new output space</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#a4ff1249e423ae9bfab075f5317c4d004">vquantize</a>(tmp_dep, qi_out);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>)</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">// De-quantize</span></div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vin_deq = <a class="code" href="namespacearm__compute.xhtml#a485ae62f3ade6c8d33c5c2e85b29c3a7">vdequantize</a>(vin, qi_in);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">const</span> float32x4x4_t tmp_dep =</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  {</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  {</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(va_f32, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0">wrapper::vtanh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vin_deq.val[0], vb_f32))),</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(va_f32, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0">wrapper::vtanh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vin_deq.val[1], vb_f32))),</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(va_f32, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0">wrapper::vtanh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vin_deq.val[2], vb_f32))),</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(va_f32, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0">wrapper::vtanh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vin_deq.val[3], vb_f32))),</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  }</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  };</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="comment">// Re-quantize to new output space</span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#a4ff1249e423ae9bfab075f5317c4d004">vquantize</a>(tmp_dep, qi_out);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  {</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported activation function"</span>);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, tmp);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  }</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">for</span>(; x < window_end_x; ++x)</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  {</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  T in = *(reinterpret_cast<const T *>(input_ptr + x));</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  T tmp;</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationFunction::RELU</a>)</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  {</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  tmp = std::max(const_0, in);</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  tmp = std::max<int32_t>(0, std::min<int32_t>(tmp * s + o, 255));</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationFunction::BOUNDED_RELU</a>)</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  {</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  tmp = std::min(a, std::max(const_0, in));</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  tmp = std::max<int32_t>(0, std::min<int32_t>(tmp * s + o, 255));</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  }</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationFunction::LU_BOUNDED_RELU</a>)</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  {</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  tmp = std::min(a, std::max(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, in));</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  tmp = std::max<int32_t>(0, std::min<int32_t>(tmp * s + o, 255));</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  }</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>)</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  {</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordtype">float</span> tmp_f = <a class="code" href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">dequantize_qasymm8</a>(in, qi_in);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  tmp_f = 1.f / (1.f + std::exp(-tmp_f));</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(tmp_f, qi_out);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  }</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>)</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordtype">float</span> tmp_f = <a class="code" href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">dequantize_qasymm8</a>(in, qi_in);</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  tmp_f = a_f32 * std::tanh(b_f32 * tmp_f);</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(tmp_f, qi_out);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  }</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  {</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported activation function"</span>);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  *(output_ptr + x) = tmp;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  },</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  input, output);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> }</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> <span class="keyword">template</span> <ActivationLayerInfo::ActivationFunction F, <span class="keyword">typename</span> T></div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> <span class="keyword">typename</span> std::enable_if<std::is_same<T, qsymm16_t>::value, <span class="keywordtype">void</span>>::type NEActivationLayerKernel::activation(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window)</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> {</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = 16 / <span class="keyword">sizeof</span>(T);</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast<int>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>());</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast<int>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>());</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keyword">const</span> ActivationFunction act = F;</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win_collapsed = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">collapse_if_possible</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>);</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  win_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input(_input, win_collapsed);</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(_output, win_collapsed);</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> qi_in = _input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> qi_out = _output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vconst_1 = vdupq_n_f32(1.f);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keyword">const</span> float32x4_t va_f32 = vdupq_n_f32(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">a</a>());</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keyword">const</span> float32x4_t vb_f32 = vdupq_n_f32(_act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">b</a>());</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a_f32 = _act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">a</a>();</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> b_f32 = _act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">b</a>();</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> </div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win_collapsed, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &)</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keyword">const</span> <span class="keyword">auto</span> input_ptr = reinterpret_cast<const T *>(input.ptr());</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast<T *>(output.ptr());</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <a class="code" href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#ad302081ac4baa4f94e7628d84421052c">wrapper::traits::neon_bitvector_t<T, wrapper::traits::BitWidth::W128></a> tmp;</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(tmp);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> </div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  {</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vin = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input_ptr + x);</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>)</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="comment">// De-quantize</span></div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vin_deq = <a class="code" href="namespacearm__compute.xhtml#aa9985607399e329fcb371a92c84a6acd">vdequantize_int16</a>(vin, qi_in.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keyword">const</span> float32x4x2_t tmp_dep =</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">wrapper::vdiv</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">wrapper::vexpq</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7">wrapper::vneg</a>(vin_deq.val[0])))),</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">wrapper::vdiv</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(vconst_1, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">wrapper::vexpq</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7">wrapper::vneg</a>(vin_deq.val[1])))),</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  }</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  };</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="comment">// Re-quantize to new output space</span></div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#ac5986edc0dbcd0c071107cafb98cbc39">vquantize_int16</a>(tmp_dep, qi_out.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  }</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>)</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  {</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="comment">// De-quantize</span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keyword">const</span> <span class="keyword">auto</span> vin_deq = <a class="code" href="namespacearm__compute.xhtml#aa9985607399e329fcb371a92c84a6acd">vdequantize_int16</a>(vin, qi_in.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keyword">const</span> float32x4x2_t tmp_dep =</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  {</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(va_f32, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0">wrapper::vtanh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vin_deq.val[0], vb_f32))),</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(va_f32, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0">wrapper::vtanh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vin_deq.val[1], vb_f32))),</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  }</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  };</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="comment">// Re-quantize to new output space</span></div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#ac5986edc0dbcd0c071107cafb98cbc39">vquantize_int16</a>(tmp_dep, qi_out.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  }</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  {</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported activation function"</span>);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  }</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, tmp);</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  }</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> </div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keywordflow">for</span>(; x < window_end_x; ++x)</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  {</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  T in = *(reinterpret_cast<const T *>(input_ptr + x));</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  T tmp;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationFunction::LOGISTIC</a>)</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  {</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordtype">float</span> tmp_f = <a class="code" href="namespacearm__compute.xhtml#aae8583b382eaea109164f2f3e16380b1">dequantize_qsymm16</a>(in, qi_in.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  tmp_f = 1.f / (1.f + std::exp(-tmp_f));</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#abd9a9e4bfba3b2e6a35099618122d38e">quantize_qsymm16</a>(tmp_f, qi_out);</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  }</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(act == <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationFunction::TANH</a>)</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  {</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordtype">float</span> tmp_f = <a class="code" href="namespacearm__compute.xhtml#aae8583b382eaea109164f2f3e16380b1">dequantize_qsymm16</a>(in, qi_in.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  tmp_f = a_f32 * std::tanh(b_f32 * tmp_f);</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  tmp = <a class="code" href="namespacearm__compute.xhtml#abd9a9e4bfba3b2e6a35099618122d38e">quantize_qsymm16</a>(tmp_f, qi_out);</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  }</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported activation function"</span>);</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  *(output_ptr + x) = tmp;</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  }</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  },</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  input, output);</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span> }</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> </div><div class="line"><a name="l00593"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c"> 593</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c">NEActivationLayerKernel::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>)</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> {</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>);</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>));</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(input-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), (output != <span class="keyword">nullptr</span>) ? output-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get() : <span class="keyword">nullptr</span>).first);</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> }</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> </div><div class="line"><a name="l00602"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82"> 602</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEActivationLayerKernel::run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>)</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> {</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">IKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_func == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> </div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  (this->*_func)(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span> }</div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00261">Error.h:261</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank)</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a533635332a3a17c16d8f21c77e15e907"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">arm_compute::wrapper::vdiv</a></div><div class="ttdeci">float32x2_t vdiv(const float32x2_t &a, const float32x2_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="div_8h_source.xhtml#l00058">div.h:58</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_abd9a9e4bfba3b2e6a35099618122d38e"><div class="ttname"><a href="namespacearm__compute.xhtml#abd9a9e4bfba3b2e6a35099618122d38e">arm_compute::quantize_qsymm16</a></div><div class="ttdeci">int16_t quantize_qsymm16(float value, const UniformQuantizationInfo &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)</div><div class="ttdoc">Quantize a value given a 16-bit symmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00323">QuantizationInfo.h:323</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a23cc34c6476b7df556284c718c44e65c"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a23cc34c6476b7df556284c718c44e65c">arm_compute::wrapper::vlog</a></div><div class="ttdeci">float32x4_t vlog(const float32x4_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2wrapper_2intrinsics_2_log_8h_source.xhtml#l00040">log.h:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_acbccd6a89f4cdd679773ce30f7959db0"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0">arm_compute::wrapper::vtanh</a></div><div class="ttdeci">float32x4_t vtanh(const float32x4_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="tanh_8h_source.xhtml#l00040">tanh.h:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">arm_compute::DataType::QSYMM16</a></div><div class="ttdoc">quantized, symmetric fixed-point 16-bit number</div></div> |
| <div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00175">ConvolutionLayer.cpp:175</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a8f3ff7da485ff7e75dab07baadf5b4bd"><div class="ttname"><a href="_validate_8h.xhtml#a8f3ff7da485ff7e75dab07baadf5b4bd">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00545">Validate.h:545</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a34725aa0412e6cc99193ceb6c8a8e439"><div class="ttname"><a href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">arm_compute::dequantize_qasymm8</a></div><div class="ttdeci">float dequantize_qasymm8(uint8_t value, const UniformQuantizationInfo &qinfo)</div><div class="ttdoc">Dequantize a value given a asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00248">QuantizationInfo.h:248</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">arm_compute::ActivationLayerInfo::ActivationFunction::RELU</a></div><div class="ttdoc">Rectifier ( )</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad6630777dc2d315531f1e0b02491051f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">arm_compute::validate_and_configure_window</a></div><div class="ttdeci">std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">NEDepthwiseConvolutionLayerNativeKernel.cpp:221</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a485ae62f3ade6c8d33c5c2e85b29c3a7"><div class="ttname"><a href="namespacearm__compute.xhtml#a485ae62f3ade6c8d33c5c2e85b29c3a7">arm_compute::vdequantize</a></div><div class="ttdeci">float32x4x2_t vdequantize(const uint8x8_t &qv, const UniformQuantizationInfo &qi)</div><div class="ttdoc">Dequantize a neon vector holding 8 quantized values.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_asymm_8h_source.xhtml#l00164">NEAsymm.h:164</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_aec65e090c2276e8c8f8dffb6e3edd178"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178">arm_compute::ActivationLayerInfo::a</a></div><div class="ttdeci">float a() const</div><div class="ttdoc">Get the alpha value.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01555">Types.h:1555</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a569988c8e1a2619532b8f4d0394d5d79"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a569988c8e1a2619532b8f4d0394d5d79">arm_compute::wrapper::vinvsqrt</a></div><div class="ttdeci">float32x2_t vinvsqrt(const float32x2_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="invsqrt_8h_source.xhtml#l00040">invsqrt.h:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a77f54eded7fef436d3a4f21ad5a00da6"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">arm_compute::wrapper::vloadq</a></div><div class="ttdeci">uint8x16_t vloadq(const uint8_t *ptr)</div><div class="ttdef"><b>Definition:</b> <a href="load_8h_source.xhtml#l00058">load.h:58</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a1894e825a225f3b2013f594cbffdae73"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">arm_compute::wrapper::vadd</a></div><div class="ttdeci">uint8x8_t vadd(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="intrinsics_2add_8h_source.xhtml#l00039">add.h:39</a></div></div> |
| <div class="ttc" id="_window_8h_xhtml"><div class="ttname"><a href="_window_8h.xhtml">Window.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_aa9985607399e329fcb371a92c84a6acd"><div class="ttname"><a href="namespacearm__compute.xhtml#aa9985607399e329fcb371a92c84a6acd">arm_compute::vdequantize_int16</a></div><div class="ttdeci">float32x4x2_t vdequantize_int16(const int16x8_t &qv, float scale)</div><div class="ttdoc">Dequantize a neon vector holding 8 16-bit quantized values.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_symm_8h_source.xhtml#l00119">NESymm.h:119</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_ae7eed178dac535c6e727061b1f5bc6eb"><div class="ttname"><a href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00791">Validate.h:791</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_activation_layer_kernel_xhtml_adfb5ef37594fc9371c4a2b95e3d5e31b"><div class="ttname"><a href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b">arm_compute::NEActivationLayerKernel::configure</a></div><div class="ttdeci">void configure(ITensor *input, ITensor *output, ActivationLayerInfo activation_info)</div><div class="ttdoc">Set the input and output tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_activation_layer_kernel_8cpp_source.xhtml#l00116">NEActivationLayerKernel.cpp:116</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a5ac8135a2c0a60f10448be0057543ed7"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a5ac8135a2c0a60f10448be0057543ed7">arm_compute::wrapper::vinv</a></div><div class="ttdeci">float32x2_t vinv(const float32x2_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="inv_8h_source.xhtml#l00046">inv.h:46</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a4c1fe3150ad2ca29262dc6403605e65c"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a4c1fe3150ad2ca29262dc6403605e65c">arm_compute::wrapper::vabs</a></div><div class="ttdeci">int8x8_t vabs(const int8x8_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="abs_8h_source.xhtml#l00046">abs.h:46</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_uniform_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_uniform_quantization_info.xhtml">arm_compute::UniformQuantizationInfo</a></div><div class="ttdoc">Quantization info when assuming per layer quantization.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00039">QuantizationInfo.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a></div><div class="ttdoc">Describe one of the image's dimensions with a start, end and step.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00075">Window.h:75</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ac5986edc0dbcd0c071107cafb98cbc39"><div class="ttname"><a href="namespacearm__compute.xhtml#ac5986edc0dbcd0c071107cafb98cbc39">arm_compute::vquantize_int16</a></div><div class="ttdeci">int16x8_t vquantize_int16(const float32x4x2_t &qv, float scale)</div><div class="ttdoc">Quantize a neon vector holding 8 floating point values.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_symm_8h_source.xhtml#l00139">NESymm.h:139</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_uniform_quantization_info_xhtml_a1d28dec57cce925ad92342891bd71e7c"><div class="ttname"><a href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">arm_compute::UniformQuantizationInfo::scale</a></div><div class="ttdeci">float scale</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00061">QuantizationInfo.h:61</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="_tensor_info_8h_xhtml"><div class="ttname"><a href="_tensor_info_8h.xhtml">TensorInfo.h</a></div></div> |
| <div class="ttc" id="_n_e_asymm_8h_xhtml"><div class="ttname"><a href="_n_e_asymm_8h.xhtml">NEAsymm.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a922cd85c475c0d725fc030116ea57979"><div class="ttname"><a href="namespacearm__compute.xhtml#a922cd85c475c0d725fc030116ea57979">arm_compute::is_data_type_quantized_symmetric</a></div><div class="ttdeci">bool is_data_type_quantized_symmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of symmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01047">Utils.h:1047</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01517">Types.h:1517</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_activation_layer_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEActivationLayerKernel::run</a></div><div class="ttdeci">void run(const Window &window, const ThreadInfo &info) override</div><div class="ttdoc">Execute the kernel on the passed window.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_activation_layer_kernel_8cpp_source.xhtml#l00602">NEActivationLayerKernel.cpp:602</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_i_tensor_info_xhtml_a9586081a29fceb532ab270bd843abee6"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">arm_compute::ITensorInfo::set_valid_region</a></div><div class="ttdeci">virtual void set_valid_region(const ValidRegion &valid_region)=0</div><div class="ttdoc">Set the valid region of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a47be6fa38308d0003c25b60b7dbc45ce"><div class="ttname"><a href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">arm_compute::auto_init_if_empty</a></div><div class="ttdeci">bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())</div><div class="ttdoc">Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00201">Helpers.inl:201</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c">arm_compute::ActivationLayerInfo::ActivationFunction::ABS</a></div><div class="ttdoc">Absolute ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">arm_compute::ActivationLayerInfo::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdoc">Available activation functions.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01521">Types.h:1521</a></div></div> |
| <div class="ttc" id="_c_p_p_2_validate_8h_xhtml_ad2633f3560322e1f8d926949dec1b730"><div class="ttname"><a href="_c_p_p_2_validate_8h.xhtml#ad2633f3560322e1f8d926949dec1b730">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_validate_8h_source.xhtml#l00071">Validate.h:71</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_1_1traits_xhtml_acf6b3be295be8dbd7897536bcd7561a3"><div class="ttname"><a href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#acf6b3be295be8dbd7897536bcd7561a3">arm_compute::wrapper::traits::neon_bitvector_tag_t</a></div><div class="ttdeci">typename neon_bitvector< T, BW >::tag_type neon_bitvector_tag_t</div><div class="ttdoc">Helper type template to get the tag type of a neon vector.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2wrapper_2traits_8h_source.xhtml#l00114">traits.h:114</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_aba8de9eaa10a7cb45c5aa603585d0e4c"><div class="ttname"><a href="namespacearm__compute.xhtml#aba8de9eaa10a7cb45c5aa603585d0e4c">arm_compute::vmlaq_qasymm8</a></div><div class="ttdeci">uint8x16_t vmlaq_qasymm8(qasymm8x16_t vd, float32x4_t vs, float32x4_t vo)</div><div class="ttdoc">Perform a multiply-accumulate on all 16 components of a QASYMM8 vector.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_asymm_8inl_source.xhtml#l00026">NEAsymm.inl:26</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_utils_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_utils_8h.xhtml">Utils.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">arm_compute::ActivationLayerInfo::ActivationFunction::SQRT</a></div><div class="ttdoc">Square root ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00066">QuantizationInfo.h:66</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div> |
| <div class="ttc" id="_c_p_p_2_validate_8h_xhtml"><div class="ttname"><a href="_c_p_p_2_validate_8h.xhtml">Validate.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_a663ce71e1992366180fcb85b0a874e2f"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">arm_compute::Window::collapse_if_possible</a></div><div class="ttdeci">Window collapse_if_possible(const Window &full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const</div><div class="ttdoc">Collapse the dimensions between first and last if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00054">Window.inl:54</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a27e4638546c88b8916f967e6e54480a9"><div class="ttname"><a href="_validate_8h.xhtml#a27e4638546c88b8916f967e6e54480a9">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00443">Validate.h:443</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_aae8583b382eaea109164f2f3e16380b1"><div class="ttname"><a href="namespacearm__compute.xhtml#aae8583b382eaea109164f2f3e16380b1">arm_compute::dequantize_qsymm16</a></div><div class="ttdeci">float dequantize_qsymm16(int16_t value, const UniformQuantizationInfo &qinfo)</div><div class="ttdoc">Dequantize a value given a 16-bit symmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00337">QuantizationInfo.h:337</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number</div></div> |
| <div class="ttc" id="classarm__compute_1_1_steps_xhtml"><div class="ttname"><a href="classarm__compute_1_1_steps.xhtml">arm_compute::Steps</a></div><div class="ttdoc">Class to describe a number of elements in each dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_steps_8h_source.xhtml#l00040">Steps.h:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_ab026a1aeec48074092f548c130c323f4"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#ab026a1aeec48074092f548c130c323f4">arm_compute::wrapper::vmin</a></div><div class="ttdeci">uint8x8_t vmin(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="min_8h_source.xhtml#l00039">min.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item.</div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a86084036bd3851575ef871ad5bf079a7"><div class="ttname"><a href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MSG(cond,...)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00214">Error.h:214</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml_a706fc156bcd4c45441bcaad05884b57d"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">arm_compute::QuantizationInfo::uniform</a></div><div class="ttdeci">UniformQuantizationInfo uniform() const</div><div class="ttdoc">Return per layer quantization info.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00134">QuantizationInfo.h:134</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1misc_1_1_i_cloneable_xhtml_a4d10e5012a872e7f78f2b539b673049d"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">arm_compute::misc::ICloneable::clone</a></div><div class="ttdeci">virtual std::unique_ptr< T > clone() const =0</div><div class="ttdoc">Provide a clone of the current object of class T.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_acd3d2bba51cb84d34dd7656ad2375a6e"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">arm_compute::Window::set</a></div><div class="ttdeci">void set(size_t dimension, const Dimension &dim)</div><div class="ttdoc">Set the values of a given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00048">Window.inl:48</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC</a></div><div class="ttdoc">Logistic ( )</div></div> |
| <div class="ttc" id="_n_e_activation_layer_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_activation_layer_kernel_8h.xhtml">NEActivationLayerKernel.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a3f3e1a3200223e6a304a533b1016e749"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">arm_compute::ITensorInfo::quantization_info</a></div><div class="ttdeci">virtual QuantizationInfo quantization_info() const =0</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_aa24da6d1c1ce97217bab0291ce404fa7"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7">arm_compute::wrapper::vneg</a></div><div class="ttdeci">int8x8_t vneg(const int8x8_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="neg_8h_source.xhtml#l00039">neg.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">arm_compute::ActivationLayerInfo::ActivationFunction::SQUARE</a></div><div class="ttdoc">Square ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a></div><div class="ttdoc">Lower and Upper Bounded Rectifier ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_activation_layer_kernel_xhtml_aa37e2d0b4cd4f835bfa2a2df4a0bdd2c"><div class="ttname"><a href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c">arm_compute::NEActivationLayerKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEActivationLayerKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_activation_layer_kernel_8cpp_source.xhtml#l00593">NEActivationLayerKernel.cpp:593</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a7eedba29396b0db728bffdf5f202d85c"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a7eedba29396b0db728bffdf5f202d85c">arm_compute::wrapper::vcgt</a></div><div class="ttdeci">uint8x8_t vcgt(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="cgt_8h_source.xhtml#l00039">cgt.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaad8156d3c6735d75d8a1b8dedd0e79c8b"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad8156d3c6735d75d8a1b8dedd0e79c8b">arm_compute::ActivationLayerInfo::ActivationFunction::IDENTITY</a></div><div class="ttdoc">Identity ( )</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a66c8dd218a4863a14fec363e3dd13dc4"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">arm_compute::wrapper::vmul</a></div><div class="ttdeci">uint8x8_t vmul(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="mul_8h_source.xhtml#l00039">mul.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a8e5924674eee0f441d54eb75d656700f"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a8e5924674eee0f441d54eb75d656700f">arm_compute::wrapper::vbsl</a></div><div class="ttdeci">uint8x8_t vbsl(const uint8x8_t &a, const uint8x8_t &b, const uint8x8_t &c)</div><div class="ttdef"><b>Definition:</b> <a href="bsl_8h_source.xhtml#l00039">bsl.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">arm_compute::ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a></div><div class="ttdoc">Upper Bounded Rectifier ( )</div></div> |
| <div class="ttc" id="structarm__compute_1_1_thread_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_thread_info.xhtml">arm_compute::ThreadInfo</a></div><div class="ttdoc">Information about executing thread and CPU.</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_types_8h_source.xhtml#l00225">CPPTypes.h:225</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a18064e0011c3869d884653e9e7c47b66"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">arm_compute::ITensorInfo::total_size</a></div><div class="ttdeci">virtual size_t total_size() const =0</div><div class="ttdoc">Returns the total size of the tensor in bytes.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10">arm_compute::ActivationLayerInfo::ActivationFunction::LEAKY_RELU</a></div><div class="ttdoc">Leaky Rectifier ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">arm_compute::ActivationLayerInfo::ActivationFunction::TANH</a></div><div class="ttdoc">Hyperbolic tangent ( )</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab8938bcb3ec0f5f8d93285eb3a28b701"><div class="ttname"><a href="namespacearm__compute.xhtml#ab8938bcb3ec0f5f8d93285eb3a28b701">arm_compute::qasymm8_t</a></div><div class="ttdeci">uint8_t qasymm8_t</div><div class="ttdoc">8 bit quantized asymmetric scalar value</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00035">QuantizationInfo.h:35</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">arm_compute::ActivationLayerInfo::ActivationFunction::LINEAR</a></div><div class="ttdoc">Linear ( )</div></div> |
| <div class="ttc" id="structarm__compute_1_1_uniform_quantization_info_xhtml_a97bd6c077f3c7769f575b82988b9b668"><div class="ttname"><a href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">arm_compute::UniformQuantizationInfo::offset</a></div><div class="ttdeci">int32_t offset</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00062">QuantizationInfo.h:62</a></div></div> |
| <div class="ttc" id="_n_e_math_8h_xhtml"><div class="ttname"><a href="_n_e_math_8h.xhtml">NEMath.h</a></div></div> |
| <div class="ttc" id="_n_e_symm_8h_xhtml"><div class="ttname"><a href="_n_e_symm_8h.xhtml">NESymm.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a4ff1249e423ae9bfab075f5317c4d004"><div class="ttname"><a href="namespacearm__compute.xhtml#a4ff1249e423ae9bfab075f5317c4d004">arm_compute::vquantize</a></div><div class="ttdeci">uint8x8_t vquantize(const float32x4x2_t &qv, const UniformQuantizationInfo &qi)</div><div class="ttdoc">Quantize a neon vector holding 8 floating point values.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_asymm_8h_source.xhtml#l00258">NEAsymm.h:258</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_ae7943ea9c1f74dc72c62d4cc3966a459"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">arm_compute::wrapper::vstore</a></div><div class="ttdeci">void vstore(uint8_t *ptr, uint8x8_t val)</div><div class="ttdef"><b>Definition:</b> <a href="store_8h_source.xhtml#l00039">store.h:39</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_helpers_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_helpers_8h.xhtml">Helpers.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a39e87435be178fba49b76f49426ef873"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">arm_compute::wrapper::vdup_n</a></div><div class="ttdeci">uint8x8_t vdup_n(uint8_t value, traits::vector_64_tag)</div><div class="ttdef"><b>Definition:</b> <a href="dup__n_8h_source.xhtml#l00041">dup_n.h:41</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a5002bf7ec46d52971f9526e94172cfee"><div class="ttname"><a href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &w, L &&lambda_function, Ts &&... iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_activation_layer_kernel_xhtml_af5c940969e40e1ae12411bb025a117f2"><div class="ttname"><a href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2">arm_compute::NEActivationLayerKernel::NEActivationLayerKernel</a></div><div class="ttdeci">NEActivationLayerKernel()</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_activation_layer_kernel_8cpp_source.xhtml#l00111">NEActivationLayerKernel.cpp:111</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">arm_compute::ActivationLayerInfo::ActivationFunction::SOFT_RELU</a></div><div class="ttdoc">Soft Rectifier ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a810a78f0b7cc0270f38d4136e023ea3b"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">arm_compute::Dimensions::set_num_dimensions</a></div><div class="ttdeci">void set_num_dimensions(size_t num_dimensions)</div><div class="ttdoc">Set number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00128">Dimensions.h:128</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_1_1traits_xhtml_ad302081ac4baa4f94e7628d84421052c"><div class="ttname"><a href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#ad302081ac4baa4f94e7628d84421052c">arm_compute::wrapper::traits::neon_bitvector_t</a></div><div class="ttdeci">typename neon_bitvector< T, BW >::type neon_bitvector_t</div><div class="ttdoc">Helper type template to get the type of a neon vector.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2wrapper_2traits_8h_source.xhtml#l00112">traits.h:112</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a9e0fb1d1462557f28966ae19988532c2"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a9e0fb1d1462557f28966ae19988532c2">arm_compute::ActivationLayerInfo::activation</a></div><div class="ttdeci">ActivationFunction activation() const</div><div class="ttdoc">Get the type of activation function.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01550">Types.h:1550</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a02a00a5d20986f3a7ab72b9c86be3a54"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54">arm_compute::ActivationLayerInfo::b</a></div><div class="ttdeci">float b() const</div><div class="ttdoc">Get the beta value.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01560">Types.h:1560</a></div></div> |
| <div class="ttc" id="wrapper_8h_xhtml"><div class="ttname"><a href="wrapper_8h.xhtml">wrapper.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a4287931a2912ecb6cece71219ca5478c"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">arm_compute::wrapper::vmla</a></div><div class="ttdeci">uint8x8_t vmla(const uint8x8_t &a, const uint8x8_t &b, const uint8x8_t &c)</div><div class="ttdef"><b>Definition:</b> <a href="mla_8h_source.xhtml#l00046">mla.h:46</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5f5b6c4337eac9e2e0046ca2304d80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00135">ArithmeticAddition.cpp:135</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdoc">Container for valid region of a window.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00174">Types.h:174</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml_a0f590bfcf19110f44efc502e7b5c1d9e"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">arm_compute::Window::Dimension::end</a></div><div class="ttdeci">constexpr int end() const</div><div class="ttdoc">Return the end of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00097">Window.h:97</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_iterator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a></div><div class="ttdoc">Iterator updated by execute_window_loop for each window element.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00318">Helpers.h:318</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00074">Types.h:74</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div> |
| <div class="ttc" id="_n_e_fixed_point_8h_xhtml"><div class="ttname"><a href="_n_e_fixed_point_8h.xhtml">NEFixedPoint.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a8d1d14000c959f1146a8a64e1dafae5f"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a8d1d14000c959f1146a8a64e1dafae5f">arm_compute::wrapper::vmax</a></div><div class="ttdeci">uint8x8_t vmax(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="max_8h_source.xhtml#l00039">max.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml_ab24e31d1a4830bf79564ee902ec6c060"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">arm_compute::Window::Dimension::start</a></div><div class="ttdeci">constexpr int start() const</div><div class="ttdoc">Return the start of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00092">Window.h:92</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a3d35fe714076b40450ba6ba870fae322"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a3d35fe714076b40450ba6ba870fae322">arm_compute::wrapper::vexpq</a></div><div class="ttdeci">float32x4_t vexpq(const float32x4_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="exp_8h_source.xhtml#l00040">exp.h:40</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00940">Validate.h:940</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a25591070cf041aff512719050c39e5ee"><div class="ttname"><a href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">arm_compute::quantize_qasymm8</a></div><div class="ttdeci">uint8_t quantize_qasymm8(float value, const UniformQuantizationInfo &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)</div><div class="ttdoc">Quantize a value given a asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00204">QuantizationInfo.h:204</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_a273fd2ecdd45169b2f702f01a7e5e382"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">arm_compute::Window::x</a></div><div class="ttdeci">constexpr const Dimension & x() const</div><div class="ttdoc">Alias to access the first dimension of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00143">Window.h:143</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ac7e1832b8c58f07a98fc8d390b16ac27"><div class="ttname"><a href="namespacearm__compute.xhtml#ac7e1832b8c58f07a98fc8d390b16ac27">arm_compute::qasymm8x16_t</a></div><div class="ttdeci">uint8x16_t qasymm8x16_t</div><div class="ttdoc">8 bit quantized asymmetric vector with 16 elements</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_asymm_8h_source.xhtml#l00036">NEAsymm.h:36</a></div></div> |
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