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review.mlplatform.org / ml / armnn / cc34093a57ea486e48f9aa66fc8b98a7bbdefef1 / . / Documentation / md_src_armnn_quantizer__r_e_a_d_m_e.html
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84<div class="title">The ArmnnQuantizer </div> </div>
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87<div class="textblock"><p>The <code>ArmnnQuantizer</code> is a program for loading a 32-bit float network into ArmNN and converting it into a quantized asymmetric 8-bit or quantized symmetric 16-bit network. It supports static quantization by default, dynamic quantization is enabled if CSV file of raw input tensors is provided. Run the program with no arguments to see command-line help.</p>
88<table class="doxtable">
89<tr>
90<th>Cmd:</th><th></th><th></th></tr>
91<tr>
92<td>-h </td><td>&ndash;help </td><td>Display help messages </td></tr>
93<tr>
94<td>-f </td><td>&ndash;infile </td><td>Input file containing float 32 ArmNN Input Graph </td></tr>
95<tr>
96<td>-s </td><td>&ndash;scheme </td><td>Quantization scheme, "QAsymm8" or "QSymm16". Default value: QAsymm8 </td></tr>
97<tr>
98<td>-c </td><td>&ndash;csvfile </td><td>CSV file containing paths for raw input tensors for dynamic quantization. If unset, static quantization is used </td></tr>
99<tr>
100<td>-p </td><td>&ndash;preserve-data-type </td><td>Preserve the input and output data types. If unset, input and output data types are not preserved </td></tr>
101<tr>
102<td>-d </td><td>&ndash;outdir </td><td>Directory that output file will be written to </td></tr>
103<tr>
104<td>-o </td><td>&ndash;outfile </td><td>ArmNN output file name </td></tr>
105</table>
106<p>Example usage: <br />
107 <code>./ArmnnQuantizer -f /path/to/armnn/input/graph/ -s "QSymm16" -c /path/to/csv/file -p 1 -d /path/to/output -o outputFileName</code> </p>
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