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| author | Nikhil Raj <nikhil.raj@arm.com> | 2024-05-16 09:47:51 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2024-05-16 09:47:51 +0100 |
| commit | 1dc83febfb76d6a770bdf3ba16c4034a970c2320 (patch) | |
| tree | 66d27e5587e9010f3db26a23a348df844c88f8e6 /latest/_ref_log_softmax_workload_8cpp_source.html | |
| parent | 38b600d8abb2c5f7a44511b5deddf441f975d51d (diff) | |
| download | armnn-gh-pages.tar.gz | |
IVGCVSW-8260 Update Doxgen Docu for 24.05gh-pages
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: If4bc983bf2793a27ded8e26ac2b29523fc1e4711
Diffstat (limited to 'latest/_ref_log_softmax_workload_8cpp_source.html')
| -rw-r--r-- | latest/_ref_log_softmax_workload_8cpp_source.html | 73 |
1 files changed, 33 insertions, 40 deletions
diff --git a/latest/_ref_log_softmax_workload_8cpp_source.html b/latest/_ref_log_softmax_workload_8cpp_source.html index 71927b4de7..e17fc5723c 100644 --- a/latest/_ref_log_softmax_workload_8cpp_source.html +++ b/latest/_ref_log_softmax_workload_8cpp_source.html @@ -36,7 +36,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> <td id="projectalign" style="padding-left: 0.9em;"> <div id="projectname"> -  <span id="projectnumber">24.02</span> +  <span id="projectnumber">24.05</span> </div> </td> </tr> @@ -110,52 +110,45 @@ $(document).ready(function(){initNavTree('_ref_log_softmax_workload_8cpp_source. <div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div> <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_profiling_8hpp.html">Profiling.hpp</a>></span></div> <div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> -<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.html">armnn/utility/Assert.hpp</a>></span></div> -<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> -<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> -<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div> -<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  </div> -<div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a"> 20</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload::Execute</a>()<span class="keyword"> const</span></div> -<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword"></span>{</div> -<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> -<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> }</div> -<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  </div> -<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_log_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c"> 25</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLogSoftmaxWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>& executionData)</div> -<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> {</div> -<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">></span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div> -<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> -<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> }</div> -<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  </div> -<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload::Execute</a>(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs)<span class="keyword"> const</span></div> -<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword"></span>{</div> -<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">"RefLogSoftmaxWorkload_Execute"</span>);</div> -<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  </div> -<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div> -<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</div> -<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div> -<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  std::unique_ptr<Decoder<float>> decoder = MakeDecoder<float>(inputInfo, inputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> -<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  std::unique_ptr<Encoder<float>> encoder = MakeEncoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> -<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  </div> -<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(decoder != <span class="keyword">nullptr</span>);</div> -<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(encoder != <span class="keyword">nullptr</span>);</div> -<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div> -<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">LogSoftmax</a>(*decoder, *encoder, inputInfo, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>);</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>  </div> -<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> } <span class="comment">// namespace armnn</span></div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div> +<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a"> 18</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload::Execute</a>()<span class="keyword"> const</span></div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> }</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  </div> +<div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_log_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c"> 23</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLogSoftmaxWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>& executionData)</div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> {</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">></span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> }</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  </div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload::Execute</a>(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs)<span class="keyword"> const</span></div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">"RefLogSoftmaxWorkload_Execute"</span>);</div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  </div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  </div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::unique_ptr<Decoder<float>> decoder = MakeDecoder<float>(inputInfo, inputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  std::unique_ptr<Encoder<float>> encoder = MakeEncoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  </div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">LogSoftmax</a>(*decoder, *encoder, inputInfo, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>);</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> }</div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> } <span class="comment">// namespace armnn</span></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> -<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> <div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html_ad2b382076f26f48cd44783cfca2e3642"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">armnn::experimental::ExecutionData::m_Data</a></div><div class="ttdeci">void * m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00016">ExecutionData.hpp:16</a></div></div> <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_ref_log_softmax_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_log_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefLogSoftmaxWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_log_softmax_workload_8cpp_source.html#l00025">RefLogSoftmaxWorkload.cpp:25</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_log_softmax_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_log_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefLogSoftmaxWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_log_softmax_workload_8cpp_source.html#l00023">RefLogSoftmaxWorkload.cpp:23</a></div></div> <div class="ttc" id="a_profiling_8hpp_html"><div class="ttname"><a href="_profiling_8hpp.html">Profiling.hpp</a></div></div> -<div class="ttc" id="anamespacearmnn_html_ac52e04c0e349e25bcdaa72c27395ef8f"><div class="ttname"><a href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">armnn::LogSoftmax</a></div><div class="ttdeci">void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_8cpp_source.html#l00029">LogSoftmax.cpp:29</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ac52e04c0e349e25bcdaa72c27395ef8f"><div class="ttname"><a href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">armnn::LogSoftmax</a></div><div class="ttdeci">void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_8cpp_source.html#l00027">LogSoftmax.cpp:27</a></div></div> <div class="ttc" id="a_ref_workload_utils_8hpp_html_a06acca4fd832e0fb179604112c0505af"><div class="ttname"><a href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00022">RefWorkloadUtils.hpp:22</a></div></div> <div class="ttc" id="a_log_softmax_8hpp_html"><div class="ttname"><a href="_log_softmax_8hpp.html">LogSoftmax.hpp</a></div></div> -<div class="ttc" id="a_assert_8hpp_html"><div class="ttname"><a href="_assert_8hpp.html">Assert.hpp</a></div></div> <div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_ref_log_softmax_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefLogSoftmaxWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_log_softmax_workload_8cpp_source.html#l00020">RefLogSoftmaxWorkload.cpp:20</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_log_softmax_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefLogSoftmaxWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_log_softmax_workload_8cpp_source.html#l00018">RefLogSoftmaxWorkload.cpp:18</a></div></div> <div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</a></div></div> <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div 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