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| <a href="#pub-methods">Public Member Functions</a> | |
| <a href="#pub-static-methods">Static Public Member Functions</a> </div> |
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| <div class="title">NEFFT1D Class Reference</div> </div> |
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| <div class="contents"> |
| |
| <p>Basic function to execute one dimensional FFT. |
| <a href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_f_f_t1_d_8h_source.xhtml">NEFFT1D.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for NEFFT1D:</div> |
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| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:a39c0ec3e9d531af3b96d375aec9de7b9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml#a39c0ec3e9d531af3b96d375aec9de7b9">NEFFT1D</a> (std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > memory_manager=nullptr)</td></tr> |
| <tr class="memdesc:a39c0ec3e9d531af3b96d375aec9de7b9"><td class="mdescLeft"> </td><td class="mdescRight">Default Constructor. <a href="#a39c0ec3e9d531af3b96d375aec9de7b9">More...</a><br /></td></tr> |
| <tr class="separator:a39c0ec3e9d531af3b96d375aec9de7b9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afa1a519c93fadeba6e6e7f5f37971a25"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml#afa1a519c93fadeba6e6e7f5f37971a25">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, const <a class="el" href="structarm__compute_1_1_f_f_t1_d_info.xhtml">FFT1DInfo</a> &config)</td></tr> |
| <tr class="memdesc:afa1a519c93fadeba6e6e7f5f37971a25"><td class="mdescLeft"> </td><td class="mdescRight">Initialise the function's source and destinations. <a href="#afa1a519c93fadeba6e6e7f5f37971a25">More...</a><br /></td></tr> |
| <tr class="separator:afa1a519c93fadeba6e6e7f5f37971a25"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr> |
| <tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr> |
| <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr> |
| <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr> |
| <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr> |
| <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr> |
| <tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr> |
| <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> |
| Static Public Member Functions</h2></td></tr> |
| <tr class="memitem:a1df242336d170d76e2d39ecd8c5a43c8"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml#a1df242336d170d76e2d39ecd8c5a43c8">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, const <a class="el" href="structarm__compute_1_1_f_f_t1_d_info.xhtml">FFT1DInfo</a> &config)</td></tr> |
| <tr class="memdesc:a1df242336d170d76e2d39ecd8c5a43c8"><td class="mdescLeft"> </td><td class="mdescRight">Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml">NEFFT1D</a>. <a href="#a1df242336d170d76e2d39ecd8c5a43c8">More...</a><br /></td></tr> |
| <tr class="separator:a1df242336d170d76e2d39ecd8c5a43c8"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Basic function to execute one dimensional FFT. </p> |
| <p>This function calls the following NEON kernels:</p> |
| <ol type="1"> |
| <li><a class="el" href="classarm__compute_1_1_n_e_f_f_t_digit_reverse_kernel.xhtml">NEFFTDigitReverseKernel</a> Performs digit reverse</li> |
| <li><a class="el" href="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml">NEFFTRadixStageKernel</a> A list of FFT kernels depending on the radix decomposition</li> |
| <li><a class="el" href="classarm__compute_1_1_n_e_f_f_t_scale_kernel.xhtml">NEFFTScaleKernel</a> Performs output scaling in case of in inverse FFT </li> |
| </ol> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_f_f_t1_d_8h_source.xhtml#l00047">47</a> of file <a class="el" href="_n_e_f_f_t1_d_8h_source.xhtml">NEFFT1D.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a39c0ec3e9d531af3b96d375aec9de7b9"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a39c0ec3e9d531af3b96d375aec9de7b9">◆ </a></span>NEFFT1D()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml">NEFFT1D</a> </td> |
| <td>(</td> |
| <td class="paramtype">std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > </td> |
| <td class="paramname"><em>memory_manager</em> = <code>nullptr</code></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default Constructor. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml#l00033">33</a> of file <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml">NEFFT1D.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  : _memory_group(std::move(memory_manager)), _digit_reverse_kernel(), _fft_kernels(), _scale_kernel(), _digit_reversed_input(), _digit_reverse_indices(), _num_ffts(0), _axis(0), _run_scale(<span class="keyword">false</span>)</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="afa1a519c93fadeba6e6e7f5f37971a25"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afa1a519c93fadeba6e6e7f5f37971a25">◆ </a></span>configure()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void configure </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarm__compute_1_1_f_f_t1_d_info.xhtml">FFT1DInfo</a> & </td> |
| <td class="paramname"><em>config</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialise the function's source and destinations. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. Data types supported: F32. Number of channels supported: 1 (real tensor) or 2 (complex tensor). </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data types and data layouts supported: Same as <code>input</code>. Number of channels supported: 1 (real tensor) or 2 (complex tensor).If <code>input</code> is real, <code>output</code> must be complex. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">config</td><td>FFT related configuration </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml#l00038">38</a> of file <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml">NEFFT1D.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input, output);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(<a class="code" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml#a1df242336d170d76e2d39ecd8c5a43c8">NEFFT1D::validate</a>(input->info(), output->info(), config));</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>  <span class="comment">// Decompose size to radix factors</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <span class="keyword">auto</span> supported_radix = <a class="code" href="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml#a058f31a004475bd61913f02fbf251ddb">NEFFTRadixStageKernel::supported_radix</a>();</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> N = input->info()->tensor_shape()[config.axis];</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> <span class="keyword">auto</span> decomposed_vector = <a class="code" href="namespacearm__compute_1_1helpers_1_1fft.xhtml#a359fcf05844c0a2f1aed6e4386a86aee">arm_compute::helpers::fft::decompose_stages</a>(N, supported_radix);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(decomposed_vector.empty());</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">// Flags</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  _run_scale = config.direction == <a class="code" href="namespacearm__compute.xhtml#a86a0c8e195c900a895c249662cfaa564a9f87f02f2da8f99c571b2a1c2a96132b">FFTDirection::Inverse</a>;</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="keyword">const</span> <span class="keywordtype">bool</span> is_c2r = input->info()->num_channels() == 2 && output->info()->num_channels() == 1;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// Configure digit reverse</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  FFTDigitReverseKernelInfo digit_reverse_config;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  digit_reverse_config.axis = config.axis;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  digit_reverse_config.conjugate = config.direction == <a class="code" href="namespacearm__compute.xhtml#a86a0c8e195c900a895c249662cfaa564a9f87f02f2da8f99c571b2a1c2a96132b">FFTDirection::Inverse</a>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  TensorInfo digit_reverse_indices_info(TensorShape(input->info()->tensor_shape()[config.axis]), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  _digit_reverse_indices.<a class="code" href="classarm__compute_1_1_tensor.xhtml#adbd0cf83a8e1b335a9bf405a8e5019fa">allocator</a>()-><a class="code" href="classarm__compute_1_1_tensor_allocator.xhtml#a3fc6adad84b23f10d54d5a7b6928f872">init</a>(digit_reverse_indices_info);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  _memory_group.<a class="code" href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">manage</a>(&_digit_reversed_input);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  _digit_reverse_kernel.<a class="code" href="classarm__compute_1_1_n_e_f_f_t_digit_reverse_kernel.xhtml#a84286c6d4e74c3f4fe2ed3fc5df3d9a7">configure</a>(input, &_digit_reversed_input, &_digit_reverse_indices, digit_reverse_config);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// Create and configure FFT kernels</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> Nx = 1;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  _num_ffts = decomposed_vector.size();</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  _fft_kernels.resize(_num_ffts);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  _axis = config.axis;</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">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < _num_ffts; ++i)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> radix_for_stage = decomposed_vector.at(i);</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>  FFTRadixStageKernelInfo fft_kernel_info;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  fft_kernel_info.axis = config.axis;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  fft_kernel_info.radix = radix_for_stage;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  fft_kernel_info.Nx = Nx;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  fft_kernel_info.is_first_stage = (i == 0);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  _fft_kernels[i].configure(&_digit_reversed_input, ((i == (_num_ffts - 1)) && !is_c2r) ? output : <span class="keyword">nullptr</span>, fft_kernel_info);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  Nx *= radix_for_stage;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Configure scale kernel</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">if</span>(_run_scale)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  FFTScaleKernelInfo scale_config;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  scale_config.scale = static_cast<float>(N);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  scale_config.conjugate = config.direction == <a class="code" href="namespacearm__compute.xhtml#a86a0c8e195c900a895c249662cfaa564a9f87f02f2da8f99c571b2a1c2a96132b">FFTDirection::Inverse</a>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  is_c2r ? _scale_kernel.<a class="code" href="classarm__compute_1_1_n_e_f_f_t_scale_kernel.xhtml#ad9c2f955e229d762ac8f6ad54b835a66">configure</a>(&_digit_reversed_input, output, scale_config) : _scale_kernel.<a class="code" href="classarm__compute_1_1_n_e_f_f_t_scale_kernel.xhtml#ad9c2f955e229d762ac8f6ad54b835a66">configure</a>(output, <span class="keyword">nullptr</span>, scale_config);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  _digit_reversed_input.<a class="code" href="classarm__compute_1_1_tensor.xhtml#adbd0cf83a8e1b335a9bf405a8e5019fa">allocator</a>()-><a class="code" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  _digit_reverse_indices.<a class="code" href="classarm__compute_1_1_tensor.xhtml#adbd0cf83a8e1b335a9bf405a8e5019fa">allocator</a>()-><a class="code" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Init digit reverse indices</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> <span class="keyword">auto</span> digit_reverse_cpu = <a class="code" href="namespacearm__compute_1_1helpers_1_1fft.xhtml#acf1aaf9a5a9f908f6df4f37ad76f8fcd">arm_compute::helpers::fft::digit_reverse_indices</a>(N, decomposed_vector);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  std::copy_n(digit_reverse_cpu.data(), N, reinterpret_cast<unsigned int *>(_digit_reverse_indices.<a class="code" href="classarm__compute_1_1_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c">buffer</a>()));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> }</div><div class="ttc" id="classarm__compute_1_1_tensor_allocator_xhtml_a3fc6adad84b23f10d54d5a7b6928f872"><div class="ttname"><a href="classarm__compute_1_1_tensor_allocator.xhtml#a3fc6adad84b23f10d54d5a7b6928f872">arm_compute::TensorAllocator::init</a></div><div class="ttdeci">void init(const TensorAllocator &allocator, const Coordinates &coords, TensorInfo &sub_info)</div><div class="ttdoc">Shares the same backing memory with another tensor allocator, while the tensor info might be differen...</div><div class="ttdef"><b>Definition:</b> <a href="src_2runtime_2_tensor_allocator_8cpp_source.xhtml#l00108">TensorAllocator.cpp:108</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1fft_xhtml_a359fcf05844c0a2f1aed6e4386a86aee"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1fft.xhtml#a359fcf05844c0a2f1aed6e4386a86aee">arm_compute::helpers::fft::decompose_stages</a></div><div class="ttdeci">std::vector< unsigned int > decompose_stages(unsigned int N, const std::set< unsigned int > &supported_factors)</div><div class="ttdoc">Decompose a given 1D input size using the provided supported factors.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2utils_2helpers_2fft_8cpp_source.xhtml#l00034">fft.cpp:34</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1fft_xhtml_acf1aaf9a5a9f908f6df4f37ad76f8fcd"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1fft.xhtml#acf1aaf9a5a9f908f6df4f37ad76f8fcd">arm_compute::helpers::fft::digit_reverse_indices</a></div><div class="ttdeci">std::vector< unsigned int > digit_reverse_indices(unsigned int N, const std::vector< unsigned int > &fft_stages)</div><div class="ttdoc">Calculate digit reverse index vector given fft size and the decomposed stages.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2utils_2helpers_2fft_8cpp_source.xhtml#l00079">fft.cpp:79</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_xhtml_adbd0cf83a8e1b335a9bf405a8e5019fa"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml#adbd0cf83a8e1b335a9bf405a8e5019fa">arm_compute::Tensor::allocator</a></div><div class="ttdeci">TensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8cpp_source.xhtml#l00048">Tensor.cpp:48</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_memory_group_base_xhtml_ac1f67376afb7822f262a0174ef4a3104"><div class="ttname"><a href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">arm_compute::MemoryGroupBase::manage</a></div><div class="ttdeci">void manage(TensorType *obj)</div><div class="ttdoc">Sets a object to be managed by the given memory group.</div><div class="ttdef"><b>Definition:</b> <a href="_memory_group_base_8h_source.xhtml#l00102">MemoryGroupBase.h:102</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 U32 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_allocator_xhtml_a6e509c2a177b0b29e9e2369535094dee"><div class="ttname"><a href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">arm_compute::TensorAllocator::allocate</a></div><div class="ttdeci">void allocate() override</div><div class="ttdoc">Allocate size specified by TensorInfo of CPU memory.</div><div class="ttdef"><b>Definition:</b> <a href="src_2runtime_2_tensor_allocator_8cpp_source.xhtml#l00133">TensorAllocator.cpp:133</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel_xhtml_a058f31a004475bd61913f02fbf251ddb"><div class="ttname"><a href="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml#a058f31a004475bd61913f02fbf251ddb">arm_compute::NEFFTRadixStageKernel::supported_radix</a></div><div class="ttdeci">static std::set< unsigned int > supported_radix()</div><div class="ttdoc">Returns the radix that are support by the FFT kernel.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_f_f_t_radix_stage_kernel_8cpp_source.xhtml#l01035">NEFFTRadixStageKernel.cpp:1035</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_f_f_t_scale_kernel_xhtml_ad9c2f955e229d762ac8f6ad54b835a66"><div class="ttname"><a href="classarm__compute_1_1_n_e_f_f_t_scale_kernel.xhtml#ad9c2f955e229d762ac8f6ad54b835a66">arm_compute::NEFFTScaleKernel::configure</a></div><div class="ttdeci">void configure(ITensor *input, ITensor *output, const FFTScaleKernelInfo &config)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_f_f_t_scale_kernel_8cpp_source.xhtml#l00092">NEFFTScaleKernel.cpp:92</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_f_f_t_digit_reverse_kernel_xhtml_a84286c6d4e74c3f4fe2ed3fc5df3d9a7"><div class="ttname"><a href="classarm__compute_1_1_n_e_f_f_t_digit_reverse_kernel.xhtml#a84286c6d4e74c3f4fe2ed3fc5df3d9a7">arm_compute::NEFFTDigitReverseKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const ITensor *idx, const FFTDigitReverseKernelInfo &config)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_f_f_t_digit_reverse_kernel_8cpp_source.xhtml#l00075">NEFFTDigitReverseKernel.cpp:75</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_xhtml_a24954cca5108a24706441fd99a7fb04c"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c">arm_compute::Tensor::buffer</a></div><div class="ttdeci">uint8_t * buffer() const override</div><div class="ttdoc">Interface to be implemented by the child class to return a pointer to CPU memory.</div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8cpp_source.xhtml#l00043">Tensor.cpp:43</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_f_f_t1_d_xhtml_a1df242336d170d76e2d39ecd8c5a43c8"><div class="ttname"><a href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml#a1df242336d170d76e2d39ecd8c5a43c8">arm_compute::NEFFT1D::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const FFT1DInfo &config)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEFFT1D.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_f_f_t1_d_8cpp_source.xhtml#l00101">NEFFT1D.cpp:101</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a86a0c8e195c900a895c249662cfaa564a9f87f02f2da8f99c571b2a1c2a96132b"><div class="ttname"><a href="namespacearm__compute.xhtml#a86a0c8e195c900a895c249662cfaa564a9f87f02f2da8f99c571b2a1c2a96132b">arm_compute::FFTDirection::Inverse</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="src_2runtime_2_tensor_allocator_8cpp_source.xhtml#l00133">TensorAllocator::allocate()</a>, <a class="el" href="runtime_2_tensor_8cpp_source.xhtml#l00048">Tensor::allocator()</a>, <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00327">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="_function_descriptors_8h_source.xhtml#l00040">FFT1DInfo::axis</a>, <a class="el" href="_kernel_descriptors_8h_source.xhtml#l00041">FFTDigitReverseKernelInfo::axis</a>, <a class="el" href="_kernel_descriptors_8h_source.xhtml#l00048">FFTRadixStageKernelInfo::axis</a>, <a class="el" href="runtime_2_tensor_8cpp_source.xhtml#l00043">Tensor::buffer()</a>, <a class="el" href="_n_e_f_f_t_digit_reverse_kernel_8cpp_source.xhtml#l00075">NEFFTDigitReverseKernel::configure()</a>, <a class="el" href="_n_e_f_f_t_scale_kernel_8cpp_source.xhtml#l00092">NEFFTScaleKernel::configure()</a>, <a class="el" href="_kernel_descriptors_8h_source.xhtml#l00035">FFTScaleKernelInfo::conjugate</a>, <a class="el" href="_kernel_descriptors_8h_source.xhtml#l00042">FFTDigitReverseKernelInfo::conjugate</a>, <a class="el" href="src_2core_2utils_2helpers_2fft_8cpp_source.xhtml#l00034">arm_compute::helpers::fft::decompose_stages()</a>, <a class="el" href="src_2core_2utils_2helpers_2fft_8cpp_source.xhtml#l00079">arm_compute::helpers::fft::digit_reverse_indices()</a>, <a class="el" href="_function_descriptors_8h_source.xhtml#l00041">FFT1DInfo::direction</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="src_2runtime_2_tensor_allocator_8cpp_source.xhtml#l00108">TensorAllocator::init()</a>, <a class="el" href="namespacearm__compute.xhtml#a86a0c8e195c900a895c249662cfaa564a9f87f02f2da8f99c571b2a1c2a96132b">arm_compute::Inverse</a>, <a class="el" href="_kernel_descriptors_8h_source.xhtml#l00051">FFTRadixStageKernelInfo::is_first_stage</a>, <a class="el" href="_memory_group_base_8h_source.xhtml#l00102">MemoryGroupBase< TensorType >::manage()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo::num_channels()</a>, <a class="el" href="_kernel_descriptors_8h_source.xhtml#l00050">FFTRadixStageKernelInfo::Nx</a>, <a class="el" href="_kernel_descriptors_8h_source.xhtml#l00049">FFTRadixStageKernelInfo::radix</a>, <a class="el" href="_kernel_descriptors_8h_source.xhtml#l00034">FFTScaleKernelInfo::scale</a>, <a class="el" href="_n_e_f_f_t_radix_stage_kernel_8cpp_source.xhtml#l01035">NEFFTRadixStageKernel::supported_radix()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>, and <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml#l00101">NEFFT1D::validate()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_f_f_t2_d_8cpp_source.xhtml#l00037">NEFFT2D::configure()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ad1717410afd0be936c6213a63c8005fb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad1717410afd0be936c6213a63c8005fb">◆ </a></span>run()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void run </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Run the kernels contained in the function. </p> |
| <p>For NEON kernels:</p><ul> |
| <li>Multi-threading is used for the kernels which are parallelisable.</li> |
| <li>By default std::thread::hardware_concurrency() threads are used.</li> |
| </ul> |
| <dl class="section note"><dt>Note</dt><dd><a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095">CPPScheduler::set_num_threads()</a> can be used to manually set the number of threads</dd></dl> |
| <p>For OpenCL kernels:</p><ul> |
| <li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue.">CLScheduler</a>.</li> |
| <li>The queue is then flushed.</li> |
| </ul> |
| <dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd> |
| <dd> |
| Will call <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing.">prepare()</a> on first run if hasn't been done </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml#l00127">127</a> of file <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml">NEFFT1D.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  MemoryGroupResourceScope scope_mg(_memory_group);</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>  <a class="code" href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">NEScheduler::get</a>().<a class="code" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">schedule</a>(&_digit_reverse_kernel, (_axis == 0 ? <a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a> : <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < _num_ffts; ++i)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">NEScheduler::get</a>().<a class="code" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">schedule</a>(&_fft_kernels[i], (_axis == 0 ? <a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a> : <a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>));</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// Run output scaling</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">if</span>(_run_scale)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">NEScheduler::get</a>().<a class="code" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">schedule</a>(&_scale_kernel, <a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> }</div><div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_scheduler_xhtml_a4e58f95544bd5ac6559a421671bd9842"><div class="ttname"><a href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">arm_compute::IScheduler::schedule</a></div><div class="ttdeci">virtual void schedule(ICPPKernel *kernel, const Hints &hints)=0</div><div class="ttdoc">Runs the kernel in the same thread as the caller synchronously.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_scheduler_xhtml_a0d63ca713bab377aabcfb63c192b8429"><div class="ttname"><a href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">arm_compute::Scheduler::get</a></div><div class="ttdeci">static IScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_scheduler_8cpp_source.xhtml#l00096">Scheduler.cpp:96</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_window_8h_source.xhtml#l00043">Window::DimX</a>, <a class="el" href="_window_8h_source.xhtml#l00045">Window::DimY</a>, <a class="el" href="_window_8h_source.xhtml#l00047">Window::DimZ</a>, <a class="el" href="_scheduler_8cpp_source.xhtml#l00096">Scheduler::get()</a>, and <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">IScheduler::schedule()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_f_f_t2_d_8cpp_source.xhtml#l00086">NEFFT2D::run()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a1df242336d170d76e2d39ecd8c5a43c8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1df242336d170d76e2d39ecd8c5a43c8">◆ </a></span>validate()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarm__compute_1_1_f_f_t1_d_info.xhtml">FFT1DInfo</a> & </td> |
| <td class="paramname"><em>config</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml">NEFFT1D</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor info. Data types supported: F32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor info. Data types and data layouts supported: Same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">config</td><td>FFT related configuration</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml#l00101">101</a> of file <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml">NEFFT1D.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>(input, output);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(input->data_type() != <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(input->num_channels() > 2);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(std::set<unsigned int>({ 0, 1 }).count(config.axis) == 0);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// Check if FFT is decomposable</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">const</span> <span class="keyword">auto</span> supported_radix = <a class="code" href="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml#a058f31a004475bd61913f02fbf251ddb">NEFFTRadixStageKernel::supported_radix</a>();</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> N = input->tensor_shape()[config.axis];</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> <span class="keyword">auto</span> decomposed_vector = <a class="code" href="namespacearm__compute_1_1helpers_1_1fft.xhtml#a359fcf05844c0a2f1aed6e4386a86aee">arm_compute::helpers::fft::decompose_stages</a>(N, supported_radix);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(decomposed_vector.empty());</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Checks performed when output is configured</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span>((output != <span class="keyword">nullptr</span>) && (output->total_size() != 0))</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">// All combinations are supported except real input with real output (i.e., both input channels set to 1)</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(output->num_channels() == 1 && input->num_channels() == 1);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(output->num_channels() > 2);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="_validate_8h.xhtml#a27e4638546c88b8916f967e6e54480a9">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES</a>(input, output);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="_validate_8h.xhtml#a8f3ff7da485ff7e75dab07baadf5b4bd">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES</a>(input, output);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> }</div><div class="ttc" id="namespacearm__compute_1_1helpers_1_1fft_xhtml_a359fcf05844c0a2f1aed6e4386a86aee"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1fft.xhtml#a359fcf05844c0a2f1aed6e4386a86aee">arm_compute::helpers::fft::decompose_stages</a></div><div class="ttdeci">std::vector< unsigned int > decompose_stages(unsigned int N, const std::set< unsigned int > &supported_factors)</div><div class="ttdoc">Decompose a given 1D input size using the provided supported factors.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2utils_2helpers_2fft_8cpp_source.xhtml#l00034">fft.cpp:34</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a8f3ff7da485ff7e75dab07baadf5b4bd"><div class="ttname"><a href="_validate_8h.xhtml#a8f3ff7da485ff7e75dab07baadf5b4bd">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00545">Validate.h:545</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div> |
| <div class="ttc" id="_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="_validate_8h_xhtml_a27e4638546c88b8916f967e6e54480a9"><div class="ttname"><a href="_validate_8h.xhtml#a27e4638546c88b8916f967e6e54480a9">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00443">Validate.h:443</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel_xhtml_a058f31a004475bd61913f02fbf251ddb"><div class="ttname"><a href="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml#a058f31a004475bd61913f02fbf251ddb">arm_compute::NEFFTRadixStageKernel::supported_radix</a></div><div class="ttdeci">static std::set< unsigned int > supported_radix()</div><div class="ttdoc">Returns the radix that are support by the FFT kernel.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_f_f_t_radix_stage_kernel_8cpp_source.xhtml#l01035">NEFFTRadixStageKernel.cpp:1035</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_aff911654521523937ff24372a870b89f"><div class="ttname"><a href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00163">Validate.h:163</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_8h_source.xhtml#l00545">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES</a>, <a class="el" href="_validate_8h_source.xhtml#l00443">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES</a>, <a class="el" href="_validate_8h_source.xhtml#l00163">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>, <a class="el" href="_function_descriptors_8h_source.xhtml#l00040">FFT1DInfo::axis</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="src_2core_2utils_2helpers_2fft_8cpp_source.xhtml#l00034">arm_compute::helpers::fft::decompose_stages()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo::num_channels()</a>, <a class="el" href="_n_e_f_f_t_radix_stage_kernel_8cpp_source.xhtml#l01035">NEFFTRadixStageKernel::supported_radix()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, and <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">ITensorInfo::total_size()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml#l00038">NEFFT1D::configure()</a>, and <a class="el" href="_n_e_f_f_t2_d_8cpp_source.xhtml#l00057">NEFFT2D::validate()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_f_f_t1_d_8h_source.xhtml">NEFFT1D.h</a></li> |
| <li>src/runtime/NEON/functions/<a class="el" href="_n_e_f_f_t1_d_8cpp_source.xhtml">NEFFT1D.cpp</a></li> |
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