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| <a href="#pub-methods">Public Member Functions</a> | |
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| <div class="title">NEL2NormalizeLayer Class Reference</div> </div> |
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| |
| <p>Basic function to perform a L2 normalization on a given axis. |
| <a href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_l2_normalize_layer_8h_source.xhtml">NEL2NormalizeLayer.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for NEL2NormalizeLayer:</div> |
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| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:ad15dc31c9ce02a1afd5762b64a11c1c4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad15dc31c9ce02a1afd5762b64a11c1c4">NEL2NormalizeLayer</a> (std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > memory_manager=nullptr)</td></tr> |
| <tr class="memdesc:ad15dc31c9ce02a1afd5762b64a11c1c4"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#ad15dc31c9ce02a1afd5762b64a11c1c4">More...</a><br /></td></tr> |
| <tr class="separator:ad15dc31c9ce02a1afd5762b64a11c1c4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9cebf91bfc60da0c952bcc7b9af9060c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a9cebf91bfc60da0c952bcc7b9af9060c">configure</a> (<a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, int axis, float <a class="el" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>=1e-12f)</td></tr> |
| <tr class="memdesc:a9cebf91bfc60da0c952bcc7b9af9060c"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output tensors. <a href="#a9cebf91bfc60da0c952bcc7b9af9060c">More...</a><br /></td></tr> |
| <tr class="separator:a9cebf91bfc60da0c952bcc7b9af9060c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr> |
| <tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr> |
| <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr> |
| <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr> |
| <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr> |
| <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr> |
| <tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr> |
| <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> |
| Static Public Member Functions</h2></td></tr> |
| <tr class="memitem:af1cacb4a8547f144a7fe6fab677fd672"><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_l2_normalize_layer.xhtml#af1cacb4a8547f144a7fe6fab677fd672">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, int axis, float <a class="el" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>=1e-12f)</td></tr> |
| <tr class="memdesc:af1cacb4a8547f144a7fe6fab677fd672"><td class="mdescLeft"> </td><td class="mdescRight">Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml">NEL2NormalizeLayer</a>. <a href="#af1cacb4a8547f144a7fe6fab677fd672">More...</a><br /></td></tr> |
| <tr class="separator:af1cacb4a8547f144a7fe6fab677fd672"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Basic function to perform a L2 normalization on a given axis. </p> |
| <p>This function runs the following kernels:</p><ol type="1"> |
| <li><a class="el" href="classarm__compute_1_1_n_e_reduction_operation.xhtml">NEReductionOperation</a></li> |
| <li><a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml">NEL2NormalizeLayerKernel</a> </li> |
| </ol> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_l2_normalize_layer_8h_source.xhtml#l00046">46</a> of file <a class="el" href="_n_e_l2_normalize_layer_8h_source.xhtml">NEL2NormalizeLayer.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="ad15dc31c9ce02a1afd5762b64a11c1c4"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad15dc31c9ce02a1afd5762b64a11c1c4">◆ </a></span>NEL2NormalizeLayer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml">NEL2NormalizeLayer</a> </td> |
| <td>(</td> |
| <td class="paramtype">std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > </td> |
| <td class="paramname"><em>memory_manager</em> = <code>nullptr</code></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Constructor. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml#l00036">36</a> of file <a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml">NEL2NormalizeLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  : _memory_group(std::move(memory_manager)), _reduce_func(), _normalize_kernel(), _sumsq()</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a9cebf91bfc60da0c952bcc7b9af9060c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9cebf91bfc60da0c952bcc7b9af9060c">◆ </a></span>configure()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void configure </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>axis</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>epsilon</em> = <code>1e-12f</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the input and output tensors. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in,out]</td><td class="paramname">input</td><td>Source tensor. Data types supported: F16/F32. (Written to only for border_size != 0) </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data types and data layouts supported: same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">axis</td><td>Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>(Optional) Lower bound value for the normalization. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml#l00041">41</a> of file <a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml">NEL2NormalizeLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">// Manage intermediate buffers</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  _memory_group.<a class="code" href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">manage</a>(&_sumsq);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// Configure Kernels</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> uint32_t actual_axis = <a class="code" href="namespacearm__compute.xhtml#aeb6881009f40f57d430752441ec5c4f4">wrap_around</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>, max_input_tensor_dim);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  _reduce_func.<a class="code" href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a5a8b455c425ea5b09a3ad7686c619434">configure</a>(input, &_sumsq, actual_axis, <a class="code" href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64">ReductionOperation::SUM_SQUARE</a>);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  _normalize_kernel.<a class="code" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a147182978b01716921bb69141c438b42">configure</a>(input, &_sumsq, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// Allocate intermediate tensors</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  _sumsq.<a class="code" href="classarm__compute_1_1_tensor.xhtml#adbd0cf83a8e1b335a9bf405a8e5019fa">allocator</a>()-><a class="code" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64"><div class="ttname"><a href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64">arm_compute::ReductionOperation::SUM_SQUARE</a></div><div class="ttdoc">Sum of squares.</div></div> |
| <div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_xhtml_adbd0cf83a8e1b335a9bf405a8e5019fa"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml#adbd0cf83a8e1b335a9bf405a8e5019fa">arm_compute::Tensor::allocator</a></div><div class="ttdeci">TensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8cpp_source.xhtml#l00048">Tensor.cpp:48</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_aeb6881009f40f57d430752441ec5c4f4"><div class="ttname"><a href="namespacearm__compute.xhtml#aeb6881009f40f57d430752441ec5c4f4">arm_compute::wrap_around</a></div><div class="ttdeci">T wrap_around(T x, T m)</div><div class="ttdoc">Wrap-around a number within the range 0 <= x < m.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00764">Helpers.h:764</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_memory_group_base_xhtml_ac1f67376afb7822f262a0174ef4a3104"><div class="ttname"><a href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">arm_compute::MemoryGroupBase::manage</a></div><div class="ttdeci">void manage(TensorType *obj)</div><div class="ttdoc">Sets a object to be managed by the given memory group.</div><div class="ttdef"><b>Definition:</b> <a href="_memory_group_base_8h_source.xhtml#l00102">MemoryGroupBase.h:102</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_allocator_xhtml_a6e509c2a177b0b29e9e2369535094dee"><div class="ttname"><a href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">arm_compute::TensorAllocator::allocate</a></div><div class="ttdeci">void allocate() override</div><div class="ttdoc">Allocate size specified by TensorInfo of CPU memory.</div><div class="ttdef"><b>Definition:</b> <a href="src_2runtime_2_tensor_allocator_8cpp_source.xhtml#l00133">TensorAllocator.cpp:133</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_accc088009d44c521706aa98d6387ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">arm_compute::test::validation::axis</a></div><div class="ttdeci">axis</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">StackLayer.cpp:226</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_reduction_operation_xhtml_a5a8b455c425ea5b09a3ad7686c619434"><div class="ttname"><a href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a5a8b455c425ea5b09a3ad7686c619434">arm_compute::NEReductionOperation::configure</a></div><div class="ttdeci">void configure(ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_reduction_operation_8cpp_source.xhtml#l00067">NEReductionOperation.cpp:67</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_l2_normalize_layer_kernel_xhtml_a147182978b01716921bb69141c438b42"><div class="ttname"><a href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a147182978b01716921bb69141c438b42">arm_compute::NEL2NormalizeLayerKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, const ITensor *sum, ITensor *output, int axis, float epsilon)</div><div class="ttdoc">Set the input and output tensors.</div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="src_2runtime_2_tensor_allocator_8cpp_source.xhtml#l00133">TensorAllocator::allocate()</a>, <a class="el" href="runtime_2_tensor_8cpp_source.xhtml#l00048">Tensor::allocator()</a>, <a class="el" href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">arm_compute::test::validation::axis</a>, <a class="el" href="_n_e_reduction_operation_8cpp_source.xhtml#l00067">NEReductionOperation::configure()</a>, <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a147182978b01716921bb69141c438b42">NEL2NormalizeLayerKernel::configure()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00033">epsilon</a>, <a class="el" href="_memory_group_base_8h_source.xhtml#l00102">MemoryGroupBase< TensorType >::manage()</a>, <a class="el" href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64">arm_compute::SUM_SQUARE</a>, and <a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml#l00764">arm_compute::wrap_around()</a>.</p> |
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| <a id="ad1717410afd0be936c6213a63c8005fb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad1717410afd0be936c6213a63c8005fb">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
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| <td class="paramname"></td><td>)</td> |
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| <p>Run the kernels contained in the function. </p> |
| <p>For NEON kernels:</p><ul> |
| <li>Multi-threading is used for the kernels which are parallelisable.</li> |
| <li>By default std::thread::hardware_concurrency() threads are used.</li> |
| </ul> |
| <dl class="section note"><dt>Note</dt><dd><a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095">CPPScheduler::set_num_threads()</a> can be used to manually set the number of threads</dd></dl> |
| <p>For OpenCL kernels:</p><ul> |
| <li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue.">CLScheduler</a>.</li> |
| <li>The queue is then flushed.</li> |
| </ul> |
| <dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd> |
| <dd> |
| Will call <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing.">prepare()</a> on first run if hasn't been done </dd></dl> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml#l00076">76</a> of file <a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml">NEL2NormalizeLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  MemoryGroupResourceScope scope_mg(_memory_group);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  _reduce_func.<a class="code" href="classarm__compute_1_1_n_e_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">NEScheduler::get</a>().<a class="code" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">schedule</a>(&_normalize_kernel, <a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div><div class="ttc" id="classarm__compute_1_1_n_e_reduction_operation_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_n_e_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::NEReductionOperation::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_reduction_operation_8cpp_source.xhtml#l00157">NEReductionOperation.cpp:157</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_scheduler_xhtml_a4e58f95544bd5ac6559a421671bd9842"><div class="ttname"><a href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">arm_compute::IScheduler::schedule</a></div><div class="ttdeci">virtual void schedule(ICPPKernel *kernel, const Hints &hints)=0</div><div class="ttdoc">Runs the kernel in the same thread as the caller synchronously.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_scheduler_xhtml_a0d63ca713bab377aabcfb63c192b8429"><div class="ttname"><a href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">arm_compute::Scheduler::get</a></div><div class="ttdeci">static IScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_scheduler_8cpp_source.xhtml#l00096">Scheduler.cpp:96</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_window_8h_source.xhtml#l00045">Window::DimY</a>, <a class="el" href="_scheduler_8cpp_source.xhtml#l00096">Scheduler::get()</a>, <a class="el" href="_n_e_reduction_operation_8cpp_source.xhtml#l00157">NEReductionOperation::run()</a>, and <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">IScheduler::schedule()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#af1cacb4a8547f144a7fe6fab677fd672">◆ </a></span>validate()</h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
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| <td class="paramtype">int </td> |
| <td class="paramname"><em>axis</em>, </td> |
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| <td class="paramtype">float </td> |
| <td class="paramname"><em>epsilon</em> = <code>1e-12f</code> </td> |
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| <td>)</td> |
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| <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml">NEL2NormalizeLayer</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor info. Data types supported: F16/F32. (Written to only for border_size != 0) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor info. Data types and data layouts supported: same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">axis</td><td>Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>(Optional) Lower bound value for the normalization.</td></tr> |
| </table> |
| </dd> |
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| <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml#l00055">55</a> of file <a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml">NEL2NormalizeLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  TensorShape <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>(input->tensor_shape());</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Create intermediate tensor info</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  TensorInfo sum_sq;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  sum_sq.set_data_type(input->data_type());</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  sum_sq.set_tensor_shape(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">const</span> uint32_t actual_axis = <a class="code" href="namespacearm__compute.xhtml#aeb6881009f40f57d430752441ec5c4f4">wrap_around</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>, max_input_tensor_dim);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112">NEReductionOperation::validate</a>(input, &sum_sq, actual_axis, <a class="code" href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64">ReductionOperation::SUM_SQUARE</a>));</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// Reduce shape on axis</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.set(actual_axis, 1);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  sum_sq.set_tensor_shape(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a5ccf783ebc64984ef6da6e5a8ccf27e7">NEL2NormalizeLayerKernel::validate</a>(input, &sum_sq, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>));</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64"><div class="ttname"><a href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64">arm_compute::ReductionOperation::SUM_SQUARE</a></div><div class="ttdoc">Sum of squares.</div></div> |
| <div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div> |
| <div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_aeb6881009f40f57d430752441ec5c4f4"><div class="ttname"><a href="namespacearm__compute.xhtml#aeb6881009f40f57d430752441ec5c4f4">arm_compute::wrap_around</a></div><div class="ttdeci">T wrap_around(T x, T m)</div><div class="ttdoc">Wrap-around a number within the range 0 <= x < m.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00764">Helpers.h:764</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_l2_normalize_layer_kernel_xhtml_a5ccf783ebc64984ef6da6e5a8ccf27e7"><div class="ttname"><a href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a5ccf783ebc64984ef6da6e5a8ccf27e7">arm_compute::NEL2NormalizeLayerKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output, int axis, float epsilon)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEL2NormalizeLayerKernel...</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_accc088009d44c521706aa98d6387ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">arm_compute::test::validation::axis</a></div><div class="ttdeci">axis</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">StackLayer.cpp:226</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_reduction_operation_xhtml_a358b25909dda0c7c6f49d40f91cd1112"><div class="ttname"><a href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112">arm_compute::NEReductionOperation::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEReductionOperation.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_reduction_operation_8cpp_source.xhtml#l00060">NEReductionOperation.cpp:60</a></div></div> |
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| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00193">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">arm_compute::test::validation::axis</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00033">epsilon</a>, <a class="el" href="src_2core_2_tensor_info_8cpp_source.xhtml#l00311">TensorInfo::set_data_type()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">ITensorInfo::set_tensor_shape()</a>, <a class="el" href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00097">arm_compute::test::validation::shape</a>, <a class="el" href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64">arm_compute::SUM_SQUARE</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="_n_e_reduction_operation_8cpp_source.xhtml#l00060">NEReductionOperation::validate()</a>, <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a5ccf783ebc64984ef6da6e5a8ccf27e7">NEL2NormalizeLayerKernel::validate()</a>, and <a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml#l00764">arm_compute::wrap_around()</a>.</p> |
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| </div> |
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| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_l2_normalize_layer_8h_source.xhtml">NEL2NormalizeLayer.h</a></li> |
| <li>src/runtime/NEON/functions/<a class="el" href="_n_e_l2_normalize_layer_8cpp_source.xhtml">NEL2NormalizeLayer.cpp</a></li> |
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