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| <a href="graph__deepspeech__v0__4__1_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) 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="_graph_8h.xhtml">arm_compute/graph.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2graph_2_types_8h.xhtml">arm_compute/graph/Types.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_common_graph_options_8h.xhtml">utils/CommonGraphOptions.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_graph_utils_8h.xhtml">utils/GraphUtils.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="utils_2_utils_8h.xhtml">utils/Utils.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1utils.xhtml">arm_compute::utils</a>;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a>;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph_1_1frontend.xhtml">arm_compute::graph::frontend</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph__utils.xhtml">arm_compute::graph_utils</a>;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">class </span>GraphDeepSpeechExample : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml">Example</a></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="keyword">public</span>:</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  GraphDeepSpeechExample()</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  : cmd_parser(), common_opts(cmd_parser), common_params(), graph(0, <span class="stringliteral">"DeepSpeech v0.4.1"</span>)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordtype">bool</span> do_setup(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)<span class="keyword"> override</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// Parse arguments</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  cmd_parser.parse(argc, argv);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// Consume common parameters</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  common_params = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a04125f2e4cecaffad8724cee7e1c19b0">consume_common_graph_parameters</a>(common_opts);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// Return when help menu is requested</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">if</span>(common_params.help)</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>  cmd_parser.print_help(argv[0]);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Checks</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="_error_8h.xhtml#ad39a3601153da57978bb5124ace35d36">ARM_COMPUTE_EXIT_ON_MSG</a>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a>(common_params.data_type), <span class="stringliteral">"QASYMM8 not supported for this graph"</span>);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Print parameter values</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::cout << common_params << std::endl;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Get trainable parameters data path</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  std::string data_path = common_params.data_path;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> std::string model_path = <span class="stringliteral">"/cnn_data/deepspeech_model/"</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">if</span>(!data_path.empty())</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  data_path += model_path;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  }</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// How many timesteps to process at once, higher values mean more latency</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Notice that this corresponds to the number of LSTM cells that will be instantiated</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n_steps = 16;</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>  <span class="comment">// ReLU clipping value for non-recurrent layers</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> cell_clip = 20.f;</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">// Create input descriptor</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor_shape = <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab3a897163a7fe23208f1d9c618062ee2">permute_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(26U, 19U, n_steps, 1U), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>, common_params.data_layout);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_descriptor = <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a>(tensor_shape, common_params.data_type).<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2497d23622ec1343e507331ae1388f00">set_layout</a>(common_params.data_layout);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Set weights trained layout</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> weights_layout = <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>;</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>  graph << common_params.target</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  << common_params.fast_math_hint</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml">InputLayer</a>(input_descriptor,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"input_values_x"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">std::to_string</a>(n_steps) + <span class="stringliteral">".npy"</span>, weights_layout))</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"input_node"</span>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">if</span>(common_params.data_layout == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</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>  graph << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml">PermuteLayer</a>(<a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">PermutationVector</a>(2U, 0U, 1U), common_params.data_layout).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"permute_to_nhwc"</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> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  graph << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml">ReshapeLayer</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(494U, n_steps)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"Reshape_input"</span>)</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Layer 1</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  2048U,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"h1_transpose.npy"</span>, weights_layout),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"MatMul_bias.npy"</span>))</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"fc0"</span>)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, cell_clip))</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"Relu"</span>)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// Layer 2</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  2048U,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"h2_transpose.npy"</span>, weights_layout),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"MatMul_1_bias.npy"</span>))</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"fc1"</span>)</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, cell_clip))</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"Relu_1"</span>)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// Layer 3</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  2048U,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"h3_transpose.npy"</span>, weights_layout),</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"MatMul_2_bias.npy"</span>))</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"fc2"</span>)</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, cell_clip))</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"Relu_2"</span>)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Layer 4</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml">ReshapeLayer</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2048U, 1U, n_steps)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"Reshape_1"</span>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Unstack Layer (using SplitLayerNode)</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> unstack_params = { <span class="stringliteral">"unstack"</span>, graph.hints().target_hint };</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> unstack_nid = GraphBuilder::add_split_node(graph.graph(), unstack_params, { graph.tail_node(), 0 }, n_steps, 2);</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">// Create input state descriptor</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> state_descriptor = <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2048U), common_params.data_type).<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2497d23622ec1343e507331ae1388f00">set_layout</a>(common_params.data_layout);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> previous_state(graph);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> add_y(graph);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Initial state for LSTM is all zeroes for both state_h and state_c, therefore only one input is created</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  previous_state << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml">InputLayer</a>(state_descriptor,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"zeros.npy"</span>))</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"previous_state_c_h"</span>);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  add_y << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml">InputLayer</a>(state_descriptor,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"ones.npy"</span>))</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"add_y"</span>);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// TODO(COMPMID-2103): Use sub stream for FC weights and bias in LSTM cells</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Create LSTM Fully Connected weights and bias descriptors</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">//TensorDescriptor lstm_weights_descriptor = TensorDescriptor(TensorShape(4096U, 8192U), common_params.data_type).set_layout(common_params.data_layout);</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">//TensorDescriptor lstm_bias_descriptor = TensorDescriptor(TensorShape(8192U), common_params.data_type).set_layout(common_params.data_layout);</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="comment">//SubStream lstm_fc_weights(graph);</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">//SubStream lstm_fc_bias(graph);</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">//lstm_fc_weights << InputLayer(lstm_weights_descriptor,</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// get_weights_accessor(data_path, "rnn_lstm_cell_kernel_transpose.npy", weights_layout))</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// .set_name("h5/transpose");</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">//lstm_fc_bias << InputLayer(lstm_bias_descriptor,</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// get_weights_accessor(data_path, "rnn_lstm_cell_MatMul_bias.npy"))</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// .set_name("MatMul_3_bias");</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// LSTM Block</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  std::pair<SubStream, SubStream> new_state_1 = add_lstm_cell(data_path, unstack_nid, 0, previous_state, previous_state, add_y);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  std::pair<SubStream, SubStream> new_state_2 = add_lstm_cell(data_path, unstack_nid, 1, new_state_1.first, new_state_1.second, add_y);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  std::pair<SubStream, SubStream> new_state_3 = add_lstm_cell(data_path, unstack_nid, 2, new_state_2.first, new_state_2.second, add_y);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  std::pair<SubStream, SubStream> new_state_4 = add_lstm_cell(data_path, unstack_nid, 3, new_state_3.first, new_state_3.second, add_y);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  std::pair<SubStream, SubStream> new_state_5 = add_lstm_cell(data_path, unstack_nid, 4, new_state_4.first, new_state_4.second, add_y);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  std::pair<SubStream, SubStream> new_state_6 = add_lstm_cell(data_path, unstack_nid, 5, new_state_5.first, new_state_5.second, add_y);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  std::pair<SubStream, SubStream> new_state_7 = add_lstm_cell(data_path, unstack_nid, 6, new_state_6.first, new_state_6.second, add_y);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  std::pair<SubStream, SubStream> new_state_8 = add_lstm_cell(data_path, unstack_nid, 7, new_state_7.first, new_state_7.second, add_y);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  std::pair<SubStream, SubStream> new_state_9 = add_lstm_cell(data_path, unstack_nid, 8, new_state_8.first, new_state_8.second, add_y);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  std::pair<SubStream, SubStream> new_state_10 = add_lstm_cell(data_path, unstack_nid, 9, new_state_9.first, new_state_9.second, add_y);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  std::pair<SubStream, SubStream> new_state_11 = add_lstm_cell(data_path, unstack_nid, 10, new_state_10.first, new_state_10.second, add_y);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  std::pair<SubStream, SubStream> new_state_12 = add_lstm_cell(data_path, unstack_nid, 11, new_state_11.first, new_state_11.second, add_y);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::pair<SubStream, SubStream> new_state_13 = add_lstm_cell(data_path, unstack_nid, 12, new_state_12.first, new_state_12.second, add_y);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  std::pair<SubStream, SubStream> new_state_14 = add_lstm_cell(data_path, unstack_nid, 13, new_state_13.first, new_state_13.second, add_y);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  std::pair<SubStream, SubStream> new_state_15 = add_lstm_cell(data_path, unstack_nid, 14, new_state_14.first, new_state_14.second, add_y);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  std::pair<SubStream, SubStream> new_state_16 = add_lstm_cell(data_path, unstack_nid, 15, new_state_15.first, new_state_15.second, add_y);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">if</span>(n_steps > 1)</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">// Concatenate new states on height</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a> = 1;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  graph << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stack_layer.xhtml">StackLayer</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  std::move(new_state_1.second),</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  std::move(new_state_2.second),</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  std::move(new_state_3.second),</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  std::move(new_state_4.second),</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  std::move(new_state_5.second),</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  std::move(new_state_6.second),</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  std::move(new_state_7.second),</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  std::move(new_state_8.second),</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  std::move(new_state_9.second),</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  std::move(new_state_10.second),</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  std::move(new_state_11.second),</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  std::move(new_state_12.second),</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::move(new_state_13.second),</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  std::move(new_state_14.second),</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  std::move(new_state_15.second),</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  std::move(new_state_16.second))</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"concat"</span>);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  graph << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  2048U,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"h5_transpose.npy"</span>, weights_layout),</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"MatMul_3_bias.npy"</span>))</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"fc3"</span>)</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, cell_clip))</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"Relu3"</span>)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  29U,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"h6_transpose.npy"</span>, weights_layout),</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"MatMul_4_bias.npy"</span>))</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"fc3"</span>)</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml">SoftmaxLayer</a>().<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"logits"</span>);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  graph << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml">OutputLayer</a>(<a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ae3d177d243f5fb34544105a4ee4e1f58">get_output_accessor</a>(common_params, 5));</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Finalize graph</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="structarm__compute_1_1graph_1_1_graph_config.xhtml">GraphConfig</a> config;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  config.<a class="code" href="structarm__compute_1_1graph_1_1_graph_config.xhtml#a08963f7335eef295237ab460863bc3d5">num_threads</a> = common_params.threads;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  config.<a class="code" href="structarm__compute_1_1graph_1_1_graph_config.xhtml#a9da74af255a3e6ea61180d4a03192a48">use_tuner</a> = common_params.enable_tuner;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  config.<a class="code" href="structarm__compute_1_1graph_1_1_graph_config.xhtml#a5cabfb35cd0014387f7ec2a0c362c20f">tuner_file</a> = common_params.tuner_file;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  graph.finalize(common_params.target, config);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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>  <span class="keywordtype">void</span> do_run()<span class="keyword"> override</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// Run graph</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  graph.run();</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classarm__compute_1_1utils_1_1_command_line_parser.xhtml">CommandLineParser</a> cmd_parser;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="classarm__compute_1_1utils_1_1_common_graph_options.xhtml">CommonGraphOptions</a> common_opts;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml">CommonGraphParams</a> common_params;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml">Stream</a> graph;</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>  <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> set_node_params(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> &params)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> *node = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(nid);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(!node);</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>  node-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aeadb909ea02bec78f92ca35ff0ccbaea">set_common_node_parameters</a>(params);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</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> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  std::pair<SubStream, SubStream> add_lstm_cell(<span class="keyword">const</span> std::string &data_path,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> unstack_nid,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> unstack_idx,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> previous_state_c,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> previous_state_h,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> add_y)</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="comment">// TODO(COMPMID-2103): Use sub streams for FC weights and bias</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="comment">//SubStream lstm_fc_weights,</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">//SubStream lstm_fc_bias)</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">const</span> std::string cell_name(<span class="stringliteral">"rnn/lstm_cell_"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">std::to_string</a>(unstack_idx));</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">DataLayoutDimension</a> concat_dim = (common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#aa56f0562febf49bc0e29a4257551191b">data_layout</a> == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>) ? <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a> : <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="comment">// Concatenate result of Unstack with previous_state_h</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> concat_params = { cell_name + <span class="stringliteral">"/concat"</span>, graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a75ce23fbe59cc58db22e1b6d072b10c6">hints</a>().<a class="code" href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b">target_hint</a> };</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> concat_nid = graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml">ConcatenateLayerNode</a>>(2, concat_dim);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(unstack_nid, unstack_idx, concat_nid, 0);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(previous_state_h.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a110fbabe5b6b600f0f5b1fec06ab1484">tail_node</a>(), 0, concat_nid, 1);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  set_node_params(graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>(), concat_nid, concat_params);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a3d1067259b70c7d8753be5062a4b9f6d">forward_tail</a>(concat_nid);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  graph << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  8192U,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"rnn_lstm_cell_kernel_transpose.npy"</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>),</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"rnn_lstm_cell_MatMul_bias.npy"</span>))</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(cell_name + <span class="stringliteral">"/BiasAdd"</span>);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">// Split Layer</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_splits = 4;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> split_axis = 0;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> split_params = { cell_name + <span class="stringliteral">"/split"</span>, graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a75ce23fbe59cc58db22e1b6d072b10c6">hints</a>().<a class="code" href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b">target_hint</a> };</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> split_nid = GraphBuilder::add_split_node(graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>(), split_params, { graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a110fbabe5b6b600f0f5b1fec06ab1484">tail_node</a>(), 0 }, num_splits, split_axis);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> sigmoid_1_params = { cell_name + <span class="stringliteral">"/Sigmoid_1"</span>, graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a75ce23fbe59cc58db22e1b6d072b10c6">hints</a>().<a class="code" href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b">target_hint</a> };</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> add_params = { cell_name + <span class="stringliteral">"/add"</span>, graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a75ce23fbe59cc58db22e1b6d072b10c6">hints</a>().<a class="code" href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b">target_hint</a> };</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> sigmoid_2_params = { cell_name + <span class="stringliteral">"/Sigmoid_2"</span>, graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a75ce23fbe59cc58db22e1b6d072b10c6">hints</a>().<a class="code" href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b">target_hint</a> };</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> tanh_params = { cell_name + <span class="stringliteral">"/Tanh"</span>, graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a75ce23fbe59cc58db22e1b6d072b10c6">hints</a>().<a class="code" href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b">target_hint</a> };</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">// Sigmoid 1 (first split)</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> sigmoid_1_nid = graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml">ActivationLayerNode</a>>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>));</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(split_nid, 0, sigmoid_1_nid, 0);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  set_node_params(graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>(), sigmoid_1_nid, sigmoid_1_params);</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">// Tanh (second split)</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> tanh_nid = graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml">ActivationLayerNode</a>>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a>, 1.f, 1.f));</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(split_nid, 1, tanh_nid, 0);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  set_node_params(graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>(), tanh_nid, tanh_params);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> tanh_ss(graph);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  tanh_ss.forward_tail(tanh_nid);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="comment">// Add (third split)</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> add_nid = graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml">EltwiseLayerNode</a>>(EltwiseOperation::Add);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(split_nid, 2, add_nid, 0);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(add_y.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a110fbabe5b6b600f0f5b1fec06ab1484">tail_node</a>(), 0, add_nid, 1);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  set_node_params(graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>(), add_nid, add_params);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// Sigmoid 2 (fourth split)</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> sigmoid_2_nid = graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml">ActivationLayerNode</a>>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>));</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>().<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(split_nid, 3, sigmoid_2_nid, 0);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  set_node_params(graph.<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">graph</a>(), sigmoid_2_nid, sigmoid_2_params);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> sigmoid_1_ss(graph);</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  sigmoid_1_ss.forward_tail(sigmoid_1_nid);</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> mul_1_ss(sigmoid_1_ss);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  mul_1_ss << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml">EltwiseLayer</a>(std::move(sigmoid_1_ss), std::move(tanh_ss), EltwiseOperation::Mul)</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(cell_name + <span class="stringliteral">"/mul_1"</span>);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> tanh_1_ss_tmp(graph);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  tanh_1_ss_tmp.forward_tail(add_nid);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  tanh_1_ss_tmp << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>))</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(cell_name + <span class="stringliteral">"/Sigmoid"</span>);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> tanh_1_ss_tmp2(tanh_1_ss_tmp);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  tanh_1_ss_tmp2 << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml">EltwiseLayer</a>(std::move(tanh_1_ss_tmp), std::move(previous_state_c), EltwiseOperation::Mul)</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(cell_name + <span class="stringliteral">"/mul"</span>);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> tanh_1_ss(tanh_1_ss_tmp2);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  tanh_1_ss << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml">EltwiseLayer</a>(std::move(tanh_1_ss_tmp2), std::move(mul_1_ss), EltwiseOperation::Add)</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(cell_name + <span class="stringliteral">"/new_state_c"</span>);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> new_state_c(tanh_1_ss);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  tanh_1_ss << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a>, 1.f, 1.f))</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(cell_name + <span class="stringliteral">"/Tanh_1"</span>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> sigmoid_2_ss(graph);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  sigmoid_2_ss.forward_tail(sigmoid_2_nid);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  graph << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml">EltwiseLayer</a>(std::move(sigmoid_2_ss), std::move(tanh_1_ss), EltwiseOperation::Mul)</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(cell_name + <span class="stringliteral">"/new_state_h"</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>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">SubStream</a> new_state_h(graph);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">return</span> std::pair<SubStream, SubStream>(new_state_c, new_state_h);</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> };</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="graph__deepspeech__v0__4__1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627"> 359</a></span> <span class="keywordtype">int</span> <a class="code" href="graph__deepspeech__v0__4__1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">return</span> arm_compute::utils::run_example<GraphDeepSpeechExample>(argc, argv);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> }</div><div class="ttc" id="structarm__compute_1_1graph_1_1_node_params_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_node_params.xhtml">arm_compute::graph::NodeParams</a></div><div class="ttdoc">Common node parameters.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00191">Types.h:191</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_eltwise_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml">arm_compute::graph::EltwiseLayerNode</a></div><div class="ttdoc">Eltwise Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_eltwise_layer_node_8h_source.xhtml#l00034">EltwiseLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml">arm_compute::graph::frontend::SubStream</a></div><div class="ttdoc">Sub stream class.</div><div class="ttdef"><b>Definition:</b> <a href="_sub_stream_8h_source.xhtml#l00047">SubStream.h:47</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_graph_config_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_graph_config.xhtml">arm_compute::graph::GraphConfig</a></div><div class="ttdoc">Graph configuration structure Device target types.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00078">Types.h:78</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints_xhtml_a81d9ddb43e3c89a5bf3334d475f9d74b"><div class="ttname"><a href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b">arm_compute::graph::frontend::StreamHints::target_hint</a></div><div class="ttdeci">Target target_hint</div><div class="ttdoc">Target execution hint.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2frontend_2_types_8h_source.xhtml#l00063">Types.h:63</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml">arm_compute::graph::frontend::ReshapeLayer</a></div><div class="ttdoc">Reshape Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00938">Layers.h:938</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">arm_compute::graph::TensorDescriptor</a></div><div class="ttdoc">Tensor metadata class.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00038">TensorDescriptor.h:38</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">arm_compute::DataLayoutDimension</a></div><div class="ttdeci">DataLayoutDimension</div><div class="ttdoc">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00123">Types.h:123</a></div></div> |
| <div class="ttc" id="utils_2_utils_8h_xhtml"><div class="ttname"><a href="utils_2_utils_8h.xhtml">Utils.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_a424221c5dfc8fe79f88a677d1b3b4494"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">arm_compute::graph::Graph::add_node</a></div><div class="ttdeci">NodeID add_node(Ts &&... args)</div><div class="ttdoc">Adds a node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_graph_8h_source.xhtml#l00232">Graph.h:232</a></div></div> |
| <div class="ttc" id="arm__compute_2graph_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2graph_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a33e65be485104e2e9e69fca551d6f492"><div class="ttname"><a href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a></div><div class="ttdeci">Strides PermutationVector</div><div class="ttdoc">Permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00047">Types.h:47</a></div></div> |
| <div class="ttc" id="_graph_8h_xhtml"><div class="ttname"><a href="_graph_8h.xhtml">graph.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_common_graph_options_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_common_graph_options.xhtml">arm_compute::utils::CommonGraphOptions</a></div><div class="ttdoc">Common command line options used to configure the graph examples.</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00129">CommonGraphOptions.h:129</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="classarm__compute_1_1utils_1_1_command_line_parser_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_command_line_parser.xhtml">arm_compute::utils::CommandLineParser</a></div><div class="ttdoc">Class to parse command line arguments.</div><div class="ttdef"><b>Definition:</b> <a href="_command_line_parser_8h_source.xhtml#l00044">CommandLineParser.h:44</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_graph_params_xhtml_aa56f0562febf49bc0e29a4257551191b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#aa56f0562febf49bc0e29a4257551191b">arm_compute::utils::CommonGraphParams::data_layout</a></div><div class="ttdeci">arm_compute::DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00096">CommonGraphOptions.h:96</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="structarm__compute_1_1graph_1_1_graph_config_xhtml_a5cabfb35cd0014387f7ec2a0c362c20f"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_graph_config.xhtml#a5cabfb35cd0014387f7ec2a0c362c20f">arm_compute::graph::GraphConfig::tuner_file</a></div><div class="ttdeci">std::string tuner_file</div><div class="ttdoc">File to load/store tuning values from.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00085">Types.h:85</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_ad39a3601153da57978bb5124ace35d36"><div class="ttname"><a href="_error_8h.xhtml#ad39a3601153da57978bb5124ace35d36">ARM_COMPUTE_EXIT_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_EXIT_ON_MSG(cond,...)</div><div class="ttdoc">If the condition is true, the given message is printed and program exits.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00277">Error.h:277</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_input_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml">arm_compute::graph::frontend::InputLayer</a></div><div class="ttdoc">Input Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00045">Layers.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml">arm_compute::graph::INode</a></div><div class="ttdoc">Node interface.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8h_source.xhtml#l00045">INode.h:45</a></div></div> |
| <div class="ttc" id="_graph_utils_8h_xhtml"><div class="ttname"><a href="_graph_utils_8h.xhtml">GraphUtils.h</a></div></div> |
| <div class="ttc" id="graph__deepspeech__v0__4__1_8cpp_xhtml_a3c04138a5bfe5d72780bb7e82a18e627"><div class="ttname"><a href="graph__deepspeech__v0__4__1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a></div><div class="ttdeci">int main(int argc, char **argv)</div><div class="ttdoc">Main program for DeepSpeech v0.4.1.</div><div class="ttdef"><b>Definition:</b> <a href="graph__deepspeech__v0__4__1_8cpp_source.xhtml#l00359">graph_deepspeech_v0_4_1.cpp:359</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_i_stream_xhtml_a110fbabe5b6b600f0f5b1fec06ab1484"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a110fbabe5b6b600f0f5b1fec06ab1484">arm_compute::graph::frontend::IStream::tail_node</a></div><div class="ttdeci">NodeID tail_node()</div><div class="ttdoc">Returns the tail node of the Stream.</div><div class="ttdef"><b>Definition:</b> <a href="_i_stream_8h_source.xhtml#l00065">IStream.h:65</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_i_stream_xhtml_a3d1067259b70c7d8753be5062a4b9f6d"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a3d1067259b70c7d8753be5062a4b9f6d">arm_compute::graph::frontend::IStream::forward_tail</a></div><div class="ttdeci">void forward_tail(NodeID nid)</div><div class="ttdoc">Forwards tail of stream to a given nid.</div><div class="ttdef"><b>Definition:</b> <a href="_i_stream_8h_source.xhtml#l00081">IStream.h:81</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a04125f2e4cecaffad8724cee7e1c19b0"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a04125f2e4cecaffad8724cee7e1c19b0">arm_compute::utils::consume_common_graph_parameters</a></div><div class="ttdeci">CommonGraphParams consume_common_graph_parameters(CommonGraphOptions &options)</div><div class="ttdoc">Consumes the common graph options and creates a structure containing any information.</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8cpp_source.xhtml#l00183">CommonGraphOptions.cpp:183</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml">arm_compute::utils::Example</a></div><div class="ttdoc">Abstract Example class.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00070">Utils.h:70</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_topological_sort_8h_source.xhtml#l00033">TopologicalSort.h:33</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_concatenate_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml">arm_compute::graph::ConcatenateLayerNode</a></div><div class="ttdoc">Concatenation Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_concatenate_layer_node_8h_source.xhtml#l00034">ConcatenateLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_a538f789bf074c367457a6f8f32b83d2d"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">arm_compute::graph::Graph::add_connection</a></div><div class="ttdeci">EdgeID add_connection(NodeID source, size_t source_idx, NodeID sink, size_t sink_idx)</div><div class="ttdoc">Adds a connection between two nodes.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00069">Graph.cpp:69</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::DataLayoutDimension::CHANNEL</a></div><div class="ttdoc">channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">arm_compute::graph::frontend::ActivationLayer</a></div><div class="ttdoc">Activation Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00096">Layers.h:96</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="classarm__compute_1_1graph_1_1_i_node_xhtml_aeadb909ea02bec78f92ca35ff0ccbaea"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#aeadb909ea02bec78f92ca35ff0ccbaea">arm_compute::graph::INode::set_common_node_parameters</a></div><div class="ttdeci">void set_common_node_parameters(NodeParams common_params)</div><div class="ttdoc">Sets common node parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00061">INode.cpp:61</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab3a897163a7fe23208f1d9c618062ee2"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab3a897163a7fe23208f1d9c618062ee2">arm_compute::graph_utils::permute_shape</a></div><div class="ttdeci">TensorShape permute_shape(TensorShape tensor_shape, DataLayout in_data_layout, DataLayout out_data_layout)</div><div class="ttdoc">Permutes a given tensor shape given the input and output data layout.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00618">GraphUtils.h:618</a></div></div> |
| <div class="ttc" id="_common_graph_options_8h_xhtml"><div class="ttname"><a href="_common_graph_options_8h.xhtml">CommonGraphOptions.h</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="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a2497d23622ec1343e507331ae1388f00"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2497d23622ec1343e507331ae1388f00">arm_compute::graph::TensorDescriptor::set_layout</a></div><div class="ttdeci">TensorDescriptor & set_layout(DataLayout data_layout)</div><div class="ttdoc">Sets tensor descriptor data layout.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00086">TensorDescriptor.h:86</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml">arm_compute::graph::Graph</a></div><div class="ttdoc">Graph class.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_graph_8h_source.xhtml#l00050">Graph.h:50</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_graph_params_xhtml"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml">arm_compute::utils::CommonGraphParams</a></div><div class="ttdoc">Structure holding all the common graph parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00090">CommonGraphOptions.h:90</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a56952a8591a9d8481450ae707ae355e7"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">arm_compute::graph::NodeID</a></div><div class="ttdeci">unsigned int NodeID</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00064">Types.h:64</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_activation_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml">arm_compute::graph::ActivationLayerNode</a></div><div class="ttdoc">Activation Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_activation_layer_node_8h_source.xhtml#l00034">ActivationLayerNode.h:34</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml">arm_compute::utils</a></div><div class="ttdef"><b>Definition:</b> <a href="_cast_8h_source.xhtml#l00031">Cast.h:31</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="namespacearm__compute_1_1test_1_1validation_xhtml_accc088009d44c521706aa98d6387ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">arm_compute::test::validation::axis</a></div><div class="ttdeci">axis</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">StackLayer.cpp:226</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml">arm_compute::graph_utils</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00044">GraphUtils.h:44</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml">arm_compute::graph::frontend::SoftmaxLayer</a></div><div class="ttdoc">Softmax Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l01071">Layers.h:1071</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_i_stream_xhtml_a75ce23fbe59cc58db22e1b6d072b10c6"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a75ce23fbe59cc58db22e1b6d072b10c6">arm_compute::graph::frontend::IStream::hints</a></div><div class="ttdeci">StreamHints & hints()</div><div class="ttdoc">Returns the stream hints that are currently used.</div><div class="ttdef"><b>Definition:</b> <a href="_i_stream_8h_source.xhtml#l00073">IStream.h:73</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_af8baf1f3da6d42a94d0569395ece882a"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">arm_compute::graph::Graph::node</a></div><div class="ttdeci">const INode * node(NodeID id) const</div><div class="ttdoc">Get node object given its id.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00204">Graph.cpp:204</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_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a></div><div class="ttdoc">Num samples, height, width, channels.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ae3d177d243f5fb34544105a4ee4e1f58"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ae3d177d243f5fb34544105a4ee4e1f58">arm_compute::graph_utils::get_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_output_accessor(const arm_compute::utils::CommonGraphParams &graph_parameters, size_t top_n=5, bool is_validation=false, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Generates appropriate output accessor according to the specified graph parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00510">GraphUtils.h:510</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_graph_config_xhtml_a9da74af255a3e6ea61180d4a03192a48"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_graph_config.xhtml#a9da74af255a3e6ea61180d4a03192a48">arm_compute::graph::GraphConfig::use_tuner</a></div><div class="ttdeci">bool use_tuner</div><div class="ttdoc">Use a tuner in tunable backends.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00082">Types.h:82</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_output_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml">arm_compute::graph::frontend::OutputLayer</a></div><div class="ttdoc">Output Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00070">Layers.h:70</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">arm_compute::graph::frontend::FullyConnectedLayer</a></div><div class="ttdoc">Fully Connected Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00599">Layers.h:599</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a30bee0b52a919bbcb1dc48b1b6546a16"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">arm_compute::graph_utils::get_weights_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_weights_accessor(const std::string &path, const std::string &data_file, DataLayout file_layout=DataLayout::NCHW)</div><div class="ttdoc">Generates appropriate weights accessor according to the specified path.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00442">GraphUtils.h:442</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_stack_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_stack_layer.xhtml">arm_compute::graph::frontend::StackLayer</a></div><div class="ttdoc">Stack Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l01095">Layers.h:1095</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_graph_config_xhtml_a08963f7335eef295237ab460863bc3d5"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_graph_config.xhtml#a08963f7335eef295237ab460863bc3d5">arm_compute::graph::GraphConfig::num_threads</a></div><div class="ttdeci">int num_threads</div><div class="ttdoc">Number of threads to use (thread capable backends), if 0 the backend will auto-initialize,...</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00084">Types.h:84</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_stream_xhtml_a7e4fdf6dbe73cb6da5cc36976cff9fa7"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a7e4fdf6dbe73cb6da5cc36976cff9fa7">arm_compute::graph::frontend::Stream::graph</a></div><div class="ttdeci">Graph & graph() override</div><div class="ttdoc">Returns the underlying graph.</div><div class="ttdef"><b>Definition:</b> <a href="_stream_8cpp_source.xhtml#l00063">Stream.cpp:63</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">arm_compute::DataLayoutDimension::WIDTH</a></div><div class="ttdoc">width</div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_stream_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml">arm_compute::graph::frontend::Stream</a></div><div class="ttdoc">Stream frontend class to construct simple graphs in a stream fashion.</div><div class="ttdef"><b>Definition:</b> <a href="_stream_8h_source.xhtml#l00045">Stream.h:45</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1frontend_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1frontend.xhtml">arm_compute::graph::frontend</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_8h_source.xhtml#l00031">ILayer.h:31</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml">arm_compute::graph::frontend::EltwiseLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00553">Layers.h:553</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00114">Types.h:114</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_i_layer_xhtml_af664a2598e05f8de28fb9f94e3902886"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">arm_compute::graph::frontend::ILayer::set_name</a></div><div class="ttdeci">ILayer & set_name(std::string name)</div><div class="ttdoc">Sets the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_8h_source.xhtml#l00055">ILayer.h:55</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_permute_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml">arm_compute::graph::frontend::PermuteLayer</a></div><div class="ttdoc">Permute Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00811">Layers.h:811</a></div></div> |
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| <li class="navelem"><a class="el" href="dir_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="graph__deepspeech__v0__4__1_8cpp.xhtml">graph_deepspeech_v0_4_1.cpp</a></li> |
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