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| <a href="#pub-types">Public Types</a> | |
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| <div class="title">NECropKernel Class Reference</div> </div> |
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| <p>Interface for the kernel to perform tensor cropping. |
| <a href="classarm__compute_1_1_n_e_crop_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_crop_kernel_8h_source.xhtml">NECropKernel.h</a>></code></p> |
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| Collaboration diagram for NECropKernel:</div> |
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| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a> |
| Public Types</h2></td></tr> |
| <tr class="memitem:a54afc81e82afa5ab200b81f536b8453a"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a54afc81e82afa5ab200b81f536b8453a">InBoundsCropFunction</a> = void(const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, float *, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>, int32_t, int32_t, int32_t)</td></tr> |
| <tr class="memdesc:a54afc81e82afa5ab200b81f536b8453a"><td class="mdescLeft"> </td><td class="mdescRight">Function to use for in bounds crop for the particular tensor types passed to <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#af4bfea161972c091109e4bd1c8245f2c" title="Configure kernel.">configure()</a> <a href="#a54afc81e82afa5ab200b81f536b8453a">More...</a><br /></td></tr> |
| <tr class="separator:a54afc81e82afa5ab200b81f536b8453a"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><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:ab5656bb5b6334bdbe6e606c715872828"><td class="memItemLeft" align="right" valign="top">const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr> |
| <tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft"> </td><td class="mdescRight">Name of the kernel. <a href="#ab5656bb5b6334bdbe6e606c715872828">More...</a><br /></td></tr> |
| <tr class="separator:ab5656bb5b6334bdbe6e606c715872828"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad8887523c29f0065e3557ca800c4b042"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#ad8887523c29f0065e3557ca800c4b042">NECropKernel</a> ()</td></tr> |
| <tr class="memdesc:ad8887523c29f0065e3557ca800c4b042"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#ad8887523c29f0065e3557ca800c4b042">More...</a><br /></td></tr> |
| <tr class="separator:ad8887523c29f0065e3557ca800c4b042"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abcd1b2ed1f45348f82f75ac5402f0617"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#abcd1b2ed1f45348f82f75ac5402f0617">NECropKernel</a> (const <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:abcd1b2ed1f45348f82f75ac5402f0617"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#abcd1b2ed1f45348f82f75ac5402f0617">More...</a><br /></td></tr> |
| <tr class="separator:abcd1b2ed1f45348f82f75ac5402f0617"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a080230458ad24ef692defccc290b8108"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a080230458ad24ef692defccc290b8108">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a080230458ad24ef692defccc290b8108"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a080230458ad24ef692defccc290b8108">More...</a><br /></td></tr> |
| <tr class="separator:a080230458ad24ef692defccc290b8108"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aca3ad716543ad66acb9e471010b2ac7e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#aca3ad716543ad66acb9e471010b2ac7e">NECropKernel</a> (<a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:aca3ad716543ad66acb9e471010b2ac7e"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#aca3ad716543ad66acb9e471010b2ac7e">More...</a><br /></td></tr> |
| <tr class="separator:aca3ad716543ad66acb9e471010b2ac7e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a26a6d6a89d8edffed8e74164a0b52ecb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a26a6d6a89d8edffed8e74164a0b52ecb">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a26a6d6a89d8edffed8e74164a0b52ecb"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a26a6d6a89d8edffed8e74164a0b52ecb">More...</a><br /></td></tr> |
| <tr class="separator:a26a6d6a89d8edffed8e74164a0b52ecb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a36afe0cf7d9c5cbaae58cd1ef1bcdd9b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a36afe0cf7d9c5cbaae58cd1ef1bcdd9b">~NECropKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a36afe0cf7d9c5cbaae58cd1ef1bcdd9b"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="#a36afe0cf7d9c5cbaae58cd1ef1bcdd9b">More...</a><br /></td></tr> |
| <tr class="separator:a36afe0cf7d9c5cbaae58cd1ef1bcdd9b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af4bfea161972c091109e4bd1c8245f2c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#af4bfea161972c091109e4bd1c8245f2c">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *crop_boxes, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *box_ind, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, uint32_t crop_box_ind=0, float extrapolation_value=0)</td></tr> |
| <tr class="memdesc:af4bfea161972c091109e4bd1c8245f2c"><td class="mdescLeft"> </td><td class="mdescRight">Configure kernel. <a href="#af4bfea161972c091109e4bd1c8245f2c">More...</a><br /></td></tr> |
| <tr class="separator:af4bfea161972c091109e4bd1c8245f2c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0da66c75715e5f334da280799a55c923"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a0da66c75715e5f334da280799a55c923">configure_output_shape</a> ()</td></tr> |
| <tr class="memdesc:a0da66c75715e5f334da280799a55c923"><td class="mdescLeft"> </td><td class="mdescRight">Configure output tensor's shape as this can only be determined at runtime. <a href="#a0da66c75715e5f334da280799a55c923">More...</a><br /></td></tr> |
| <tr class="separator:a0da66c75715e5f334da280799a55c923"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &info) override</td></tr> |
| <tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft"> </td><td class="mdescRight">Execute the kernel on the passed window. <a href="#a112b35dd205c62ea6ed1447ef226da82">More...</a><br /></td></tr> |
| <tr class="separator:a112b35dd205c62ea6ed1447ef226da82"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr> |
| <tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr> |
| <tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr> |
| <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr> |
| <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr> |
| <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr> |
| <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr> |
| <tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr> |
| <tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">border_size</a> () const</td></tr> |
| <tr class="memdesc:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The size of the border for that kernel. <a href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">More...</a><br /></td></tr> |
| <tr class="separator:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr> |
| <tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr> |
| <tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><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:a0b1369db011f9d5603d2f6ab4bab8548"><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_crop_kernel.xhtml#a0b1369db011f9d5603d2f6ab4bab8548">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> *crop_boxes, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *box_ind, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, uint32_t crop_box_ind=0, float extrapolation_value=0)</td></tr> |
| <tr class="memdesc:a0b1369db011f9d5603d2f6ab4bab8548"><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_c_l_strided_slice_kernel.xhtml">CLStridedSliceKernel</a>. <a href="#a0b1369db011f9d5603d2f6ab4bab8548">More...</a><br /></td></tr> |
| <tr class="separator:a0b1369db011f9d5603d2f6ab4bab8548"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Interface for the kernel to perform tensor cropping. </p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_crop_kernel_8h_source.xhtml#l00040">40</a> of file <a class="el" href="_n_e_crop_kernel_8h_source.xhtml">NECropKernel.h</a>.</p> |
| </div><h2 class="groupheader">Member Typedef Documentation</h2> |
| <a id="a54afc81e82afa5ab200b81f536b8453a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a54afc81e82afa5ab200b81f536b8453a">◆ </a></span>InBoundsCropFunction</h2> |
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| <td class="memname">using <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a54afc81e82afa5ab200b81f536b8453a">InBoundsCropFunction</a> = void(const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, float *, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>, int32_t, int32_t, int32_t)</td> |
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| <p>Function to use for in bounds crop for the particular tensor types passed to <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#af4bfea161972c091109e4bd1c8245f2c" title="Configure kernel.">configure()</a> </p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_crop_kernel_8h_source.xhtml#l00097">97</a> of file <a class="el" href="_n_e_crop_kernel_8h_source.xhtml">NECropKernel.h</a>.</p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="ad8887523c29f0065e3557ca800c4b042"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad8887523c29f0065e3557ca800c4b042">◆ </a></span>NECropKernel() <span class="overload">[1/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
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| </div><div class="memdoc"> |
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| <p>Default constructor. </p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml#l00231">231</a> of file <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml">NECropKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  : _input(<span class="keyword">nullptr</span>), _crop_boxes(<span class="keyword">nullptr</span>), _box_ind(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>), _start(), _end(), _crop_box_ind(0), _extrapolation_value(0), _rows_out_of_bounds(), _cols_out_of_bounds(),</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  _in_bounds_crop_functions(), _in_bounds_crop_function(<span class="keyword">nullptr</span>), _crop_function(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> }</div></div><!-- fragment --> |
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| <h2 class="memtitle"><span class="permalink"><a href="#abcd1b2ed1f45348f82f75ac5402f0617">◆ </a></span>NECropKernel() <span class="overload">[2/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| <a id="aca3ad716543ad66acb9e471010b2ac7e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aca3ad716543ad66acb9e471010b2ac7e">◆ </a></span>NECropKernel() <span class="overload">[3/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| <p>Allow instances of this class to be moved. </p> |
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| </div> |
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| <a id="a36afe0cf7d9c5cbaae58cd1ef1bcdd9b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a36afe0cf7d9c5cbaae58cd1ef1bcdd9b">◆ </a></span>~NECropKernel()</h2> |
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| <td class="memname">~<a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| </div><div class="memdoc"> |
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| <p>Default destructor. </p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="af4bfea161972c091109e4bd1c8245f2c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af4bfea161972c091109e4bd1c8245f2c">◆ </a></span>configure()</h2> |
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| <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> |
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| <td class="paramkey"></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>crop_boxes</em>, </td> |
| </tr> |
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| <td class="paramkey"></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>box_ind</em>, </td> |
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| <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> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">uint32_t </td> |
| <td class="paramname"><em>crop_box_ind</em> = <code>0</code>, </td> |
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| <td class="paramtype">float </td> |
| <td class="paramname"><em>extrapolation_value</em> = <code>0</code> </td> |
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| <td>)</td> |
| <td></td><td></td> |
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| <p>Configure kernel. </p> |
| <dl class="section note"><dt>Note</dt><dd>Supported tensor rank: up to 4 </dd> |
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| Padding not supported.</dd></dl> |
| <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 type supported: U16/S16/U32/S32/F16/F32. Data layouts supported: NHWC. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">crop_boxes</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> containing all possible boxes used to crop the image, each represented by 4 normalized values. Data type supported: F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">box_ind</td><td>One dimensional tensor mapping the <code>crop_box_ind</code> to the index of the 3D image in <code>input</code>. Data type supported: F32 </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">crop_box_ind</td><td>Index of the crop box to be used from <code>crop_boxes</code>. Default is 0. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">extrapolation_value</td><td>Value to be used for values outside of the image. Default is 0. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml#l00237">237</a> of file <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml">NECropKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input, output);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</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_crop_kernel.xhtml#a0b1369db011f9d5603d2f6ab4bab8548">validate</a>(input->info(), crop_boxes->info(), box_ind->info(), output->info(), crop_box_ind, extrapolation_value));</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  _input = input;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  _crop_boxes = crop_boxes;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  _box_ind = box_ind;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  _output = output;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  _crop_box_ind = crop_box_ind;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  _extrapolation_value = extrapolation_value;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">const</span> <span class="keyword">static</span> std::map<std::pair<DataType, bool>, std::pair<NECropKernel::InBoundsCropFunction *, NECropKernel::InBoundsCropFunction *>> in_map_function =</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, <span class="keyword">false</span> }, { &in_bounds_crop_window<float, false, false>, &in_bounds_crop_window<float, false, true> } },</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, <span class="keyword">true</span> }, { &in_bounds_crop_window<float, true, false>, &in_bounds_crop_window<float, true, true> } },</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>, <span class="keyword">false</span> }, { &in_bounds_crop_window<uint16_t, false, false>, &in_bounds_crop_window<uint16_t, false, true> } },</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>, <span class="keyword">true</span> }, { &in_bounds_crop_window<uint16_t, true, false>, &in_bounds_crop_window<uint16_t, true, true> } },</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>, <span class="keyword">false</span> }, { &in_bounds_crop_window<int16_t, false, false>, &in_bounds_crop_window<int16_t, false, true> } },</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>, <span class="keyword">true</span> }, { &in_bounds_crop_window<int16_t, true, false>, &in_bounds_crop_window<int16_t, true, true> } },</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>, <span class="keyword">false</span> }, { &in_bounds_crop_window<uint32_t, false, false>, &in_bounds_crop_window<uint32_t, false, true> } },</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>, <span class="keyword">true</span> }, { &in_bounds_crop_window<uint32_t, true, false>, &in_bounds_crop_window<uint32_t, true, true> } },</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>, <span class="keyword">false</span> }, { &in_bounds_crop_window<int32_t, false, false>, &in_bounds_crop_window<int32_t, false, true> } },</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>, <span class="keyword">true</span> }, { &in_bounds_crop_window<int32_t, true, false>, &in_bounds_crop_window<int32_t, true, true> } },</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <span class="keyword">false</span> }, { &in_bounds_crop_window<float16_t, false, false>, &in_bounds_crop_window<float16_t, false, true> } },</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <span class="keyword">false</span> }, { &in_bounds_crop_window<float16_t, true, false>, &in_bounds_crop_window<float16_t, true, true> } }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  };</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">auto</span> in_it = in_map_function.find({ input->info()->data_type(), input->info()->dimension(0) == 1 });</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>  <span class="keywordflow">if</span>(in_it != in_map_function.end())</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  {</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  _in_bounds_crop_functions = in_it->second;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> }</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_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 U16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel</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_n_e_crop_kernel_xhtml_a0b1369db011f9d5603d2f6ab4bab8548"><div class="ttname"><a href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a0b1369db011f9d5603d2f6ab4bab8548">arm_compute::NECropKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *crop_boxes, const ITensorInfo *box_ind, const ITensorInfo *output, uint32_t crop_box_ind=0, float extrapolation_value=0)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLStridedSliceKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_crop_kernel_8cpp_source.xhtml#l00275">NECropKernel.cpp:275</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel</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> |
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| <p class="reference">References <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="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::U16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>, and <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml#l00275">NECropKernel::validate()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a0da66c75715e5f334da280799a55c923">◆ </a></span>configure_output_shape()</h2> |
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| <td class="memname">void configure_output_shape </td> |
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| <p>Configure output tensor's shape as this can only be determined at runtime. </p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml#l00296">296</a> of file <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml">NECropKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="comment">// _crop_box_ind is used to index _crop_boxes and retrieve the appropriate crop box.</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="comment">// The crop box is specified by normalized coordinates [y0, x0, y1, x1].</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> x0 = *reinterpret_cast<const float *>(_crop_boxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(1, _crop_box_ind)));</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> y0 = *reinterpret_cast<const float *>(_crop_boxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(0, _crop_box_ind)));</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> x1 = *reinterpret_cast<const float *>(_crop_boxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(3, _crop_box_ind)));</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> y1 = *reinterpret_cast<const float *>(_crop_boxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(2, _crop_box_ind)));</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="comment">// The normalized coordiantes are scaled to retrieve the floating point image coordinates which are rounded to integers.</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  _start = Coordinates(std::floor(x0 * (_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[1] - 1) + 0.5f),</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  std::floor(y0 * (_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[2] - 1) + 0.5f));</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  _end = Coordinates(std::floor(x1 * (_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[1] - 1) + 0.5f),</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  std::floor(y1 * (_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[2] - 1) + 0.5f));</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">const</span> TensorShape out_shape(_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[0], abs(_end[0] - _start[0]) + 1, abs(_end[1] - _start[1]) + 1);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  _output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">set_tensor_shape</a>(out_shape);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  _in_bounds_crop_function = _start[0] <= _end[0] ? _in_bounds_crop_functions.first : _in_bounds_crop_functions.second;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordtype">bool</span> is_width_flipped = _end[0] < _start[0];</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordtype">bool</span> is_height_flipped = _end[1] < _start[1];</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">if</span>(is_height_flipped)</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  _rows_out_of_bounds[0] = _start[1] >= static_cast<int32_t>(_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2)) ? std::min(static_cast<uint32_t>(_start[1] - _input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2) + 1),</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  static_cast<uint32_t>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2))) :</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  0;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  _rows_out_of_bounds[1] = _end[1] < 0 ? std::min(static_cast<uint32_t>(-_end[1]),</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  static_cast<uint32_t>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2))) :</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  0;</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  {</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  _rows_out_of_bounds[0] = _start[1] < 0 ? std::min(static_cast<uint32_t>(-_start[1]),</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  static_cast<uint32_t>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2))) :</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  0;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  _rows_out_of_bounds[1] = _end[1] >= static_cast<int32_t>(_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2)) ? std::min(static_cast<uint32_t>(_end[1] - _input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2) + 1),</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  static_cast<uint32_t>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2))) :</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  0;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">if</span>(is_width_flipped)</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  _cols_out_of_bounds[0] = _start[0] >= static_cast<int32_t>(_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1)) ? std::min(static_cast<uint32_t>(_start[0] - _input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1) + 1),</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  static_cast<uint32_t>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1))) :</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  0;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  _cols_out_of_bounds[1] = _end[0] < 0 ? std::min(static_cast<uint32_t>(-_end[0]),</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  static_cast<uint32_t>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1))) :</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  0;</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  }</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  _cols_out_of_bounds[0] = _start[0] < 0 ? std::min(static_cast<uint32_t>(-_start[0]),</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  static_cast<uint32_t>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1))) :</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  0;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  _cols_out_of_bounds[1] = _end[0] >= static_cast<int32_t>(_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1)) ? std::min(static_cast<uint32_t>(_end[0] - _input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1) + 1),</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  static_cast<uint32_t>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1))) :</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  0;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  }</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">const</span> <span class="keyword">static</span> std::map<std::tuple<bool, bool, bool, bool>, NECropKernel::CropFunction *> map_function =</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  {</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  { std::make_tuple(<span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>), &execute_window<false, false, false, false> },</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  { std::make_tuple(<span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>), &execute_window<false, false, false, true> },</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  { std::make_tuple(<span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">false</span>), &execute_window<false, false, true, false> },</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  { std::make_tuple(<span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>), &execute_window<false, false, true, true> },</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  { std::make_tuple(<span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>), &execute_window<false, true, false, false> },</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  { std::make_tuple(<span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>), &execute_window<false, true, false, true> },</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  { std::make_tuple(<span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">false</span>), &execute_window<false, true, true, false> },</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  { std::make_tuple(<span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>), &execute_window<false, true, true, true> },</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  { std::make_tuple(<span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>), &execute_window<true, false, false, false> },</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  { std::make_tuple(<span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>), &execute_window<true, false, false, true> },</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  { std::make_tuple(<span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">false</span>), &execute_window<true, false, true, false> },</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  { std::make_tuple(<span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>), &execute_window<true, false, true, true> },</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  { std::make_tuple(<span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>), &execute_window<true, true, false, false> },</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  { std::make_tuple(<span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>), &execute_window<true, true, false, true> },</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  { std::make_tuple(<span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">false</span>), &execute_window<true, true, true, false> },</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  { std::make_tuple(<span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>), &execute_window<true, true, true, true> },</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  };</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">auto</span> it = map_function.find(std::make_tuple(is_height_flipped,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  _cols_out_of_bounds[0] + _cols_out_of_bounds[1] < _output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1),</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  _cols_out_of_bounds[0] > 0,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  _cols_out_of_bounds[1] > 0));</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keywordflow">if</span>(it != map_function.end())</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  {</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  _crop_function = it->second;</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  INEKernel::configure(<a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(*_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()));</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> }</div><div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_adbd73147d41e8a640bc299d12613c31e"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">arm_compute::ITensor::ptr_to_element</a></div><div class="ttdeci">uint8_t * ptr_to_element(const Coordinates &id) const</div><div class="ttdoc">Return a pointer to the element at the passed coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00063">ITensor.h:63</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a12a4f1190952613e36b44846962e26bb"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">arm_compute::ITensorInfo::set_tensor_shape</a></div><div class="ttdeci">virtual ITensorInfo & set_tensor_shape(const TensorShape &shape)=0</div><div class="ttdoc">Set the shape of an already initialized tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="src_2core_2_helpers_8cpp_source.xhtml#l00028">arm_compute::calculate_max_window()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_i_tensor_8h_source.xhtml#l00063">ITensor::ptr_to_element()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">ITensorInfo::set_tensor_shape()</a>, and <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ab5656bb5b6334bdbe6e606c715872828"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab5656bb5b6334bdbe6e606c715872828">◆ </a></span>name()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">const char* name </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Name of the kernel. </p> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> name </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_crop_kernel_8h_source.xhtml#l00043">43</a> of file <a class="el" href="_n_e_crop_kernel_8h_source.xhtml">NECropKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NECropKernel"</span>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  }</div></div><!-- fragment --> |
| </div> |
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| <a id="a080230458ad24ef692defccc290b8108"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a080230458ad24ef692defccc290b8108">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
| |
| </div> |
| </div> |
| <a id="a26a6d6a89d8edffed8e74164a0b52ecb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a26a6d6a89d8edffed8e74164a0b52ecb">◆ </a></span>operator=() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml">NECropKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p>Allow instances of this class to be moved. </p> |
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| </div> |
| </div> |
| <a id="a112b35dd205c62ea6ed1447ef226da82"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a112b35dd205c62ea6ed1447ef226da82">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> & </td> |
| <td class="paramname"><em>info</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Execute the kernel on the passed window. </p> |
| <dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b" title="Indicates whether or not the kernel is parallelisable.">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a></dd></dl> |
| <dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a> method</dd> |
| <dd> |
| The width of the window has to be a multiple of num_elems_processed_per_iteration().</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml#l00386">386</a> of file <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml">NECropKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">INEKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">has_padding</a>());</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">has_padding</a>());</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  uint32_t batch_index = *(reinterpret_cast<int32_t *>(_box_ind-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(_crop_box_ind))));</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  Coordinates input_offset(0, _end[0] < _start[0] ? _start[0] - _cols_out_of_bounds[0] : _start[0] + _cols_out_of_bounds[0],</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  _end[1] < _start[1] ? _start[1] - _rows_out_of_bounds[0] : _start[1] + _rows_out_of_bounds[0], batch_index);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  (*_crop_function)(_input, _output, input_offset, _extrapolation_value, _rows_out_of_bounds, _cols_out_of_bounds, _in_bounds_crop_function);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> }</div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_adbd73147d41e8a640bc299d12613c31e"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">arm_compute::ITensor::ptr_to_element</a></div><div class="ttdeci">uint8_t * ptr_to_element(const Coordinates &id) const</div><div class="ttdoc">Return a pointer to the element at the passed coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00063">ITensor.h:63</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_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00940">Validate.h:940</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ac394d6570ab3325810a3532d39091a52"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">arm_compute::ITensorInfo::has_padding</a></div><div class="ttdeci">virtual bool has_padding() const =0</div><div class="ttdoc">Checks if the tensor has been allocated with padding or not.</div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_validate_8h_source.xhtml#l00205">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>, <a class="el" href="_validate_8h_source.xhtml#l00940">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_error_8h_source.xhtml#l00160">ARM_COMPUTE_UNUSED</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">ITensorInfo::has_padding()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::info</a>, <a class="el" href="_i_tensor_8h_source.xhtml#l00063">ITensor::ptr_to_element()</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a0b1369db011f9d5603d2f6ab4bab8548"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0b1369db011f9d5603d2f6ab4bab8548">◆ </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>crop_boxes</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>box_ind</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">uint32_t </td> |
| <td class="paramname"><em>crop_box_ind</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>extrapolation_value</em> = <code>0</code> </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_c_l_strided_slice_kernel.xhtml">CLStridedSliceKernel</a>. </p> |
| <dl class="section note"><dt>Note</dt><dd>Supported tensor rank: up to 4 </dd> |
| <dd> |
| Padding not supported.</dd></dl> |
| <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 type supported: U16/S16/U32/S32/F16/F32. Data layouts supported: NHWC. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">crop_boxes</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> info for tensor containing all possible boxes used to crop the image. Data type supported: F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">box_ind</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> info for the one dimensional tensor mapping the <code>crop_box_ind</code> to the index of the 3D image in <code>input</code>. Data type supported: F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">crop_box_ind</td><td>Index of the crop box to be used from <code>crop_boxes</code>. Default is 0. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">extrapolation_value</td><td>Value to be used for values outside of the image. Default is 0. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml#l00275">275</a> of file <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml">NECropKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(extrapolation_value);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="_c_p_p_2_validate_8h.xhtml#ad2633f3560322e1f8d926949dec1b730">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a>(input);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(input, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="_validate_8h.xhtml#a7e906bfc9e333e3f967d8ee9353ce001">ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN</a>(input, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(input->tensor_shape().num_dimensions() > 4);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(crop_boxes->tensor_shape()[0] != 4);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(crop_boxes->tensor_shape()[1] != box_ind->tensor_shape()[0]);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(crop_boxes->tensor_shape()[1] <= crop_box_ind);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(box_ind->tensor_shape()[0] <= crop_box_ind);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">if</span>(output->total_size() > 0)</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  {</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="_validate_8h.xhtml#aef783de4ec01874dbec6054a5868aea2">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN</a>(output, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="_validate_8h.xhtml#abdb9168800c70e5e2c4c020a3b905738">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT</a>(input, output);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(output->num_dimensions() != 3);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(output->has_padding());</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> }</div><div class="ttc" id="_validate_8h_xhtml_abdb9168800c70e5e2c4c020a3b905738"><div class="ttname"><a href="_validate_8h.xhtml#abdb9168800c70e5e2c4c020a3b905738">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00494">Validate.h:494</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_ae7eed178dac535c6e727061b1f5bc6eb"><div class="ttname"><a href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00791">Validate.h:791</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 U16 per channel</div></div> |
| <div class="ttc" id="_validate_8h_xhtml_aef783de4ec01874dbec6054a5868aea2"><div class="ttname"><a href="_validate_8h.xhtml#aef783de4ec01874dbec6054a5868aea2">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(t,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00693">Validate.h:693</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="_c_p_p_2_validate_8h_xhtml_ad2633f3560322e1f8d926949dec1b730"><div class="ttname"><a href="_c_p_p_2_validate_8h.xhtml#ad2633f3560322e1f8d926949dec1b730">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_validate_8h_source.xhtml#l00071">Validate.h:71</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel</div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div> |
| <div class="ttc" id="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="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel</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="_validate_8h_xhtml_a7e906bfc9e333e3f967d8ee9353ce001"><div class="ttname"><a href="_validate_8h.xhtml#a7e906bfc9e333e3f967d8ee9353ce001">ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(t,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00745">Validate.h:745</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="_c_p_p_2_validate_8h_source.xhtml#l00071">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a>, <a class="el" href="_validate_8h_source.xhtml#l00745">ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN</a>, <a class="el" href="_validate_8h_source.xhtml#l00791">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>, <a class="el" href="_validate_8h_source.xhtml#l00693">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN</a>, <a class="el" href="_validate_8h_source.xhtml#l00494">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT</a>, <a class="el" href="_error_8h_source.xhtml#l00160">ARM_COMPUTE_UNUSED</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</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#ac394d6570ab3325810a3532d39091a52">ITensorInfo::has_padding()</a>, <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::NHWC</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions< T >::num_dimensions()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo::num_dimensions()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">ITensorInfo::total_size()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::U16</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml#l00237">NECropKernel::configure()</a>, and <a class="el" href="_n_e_crop_resize_8cpp_source.xhtml#l00037">NECropResize::validate()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_crop_kernel_8h_source.xhtml">NECropKernel.h</a></li> |
| <li>src/core/NEON/kernels/<a class="el" href="_n_e_crop_kernel_8cpp_source.xhtml">NECropKernel.cpp</a></li> |
| </ul> |
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| <li class="footer">Generated on Mon Sep 2 2019 11:47:36 for Compute Library by |
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| <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li> |
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