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authorNina Drozd <nina.drozd@arm.com>2019-05-21 11:17:10 +0100
committerNina Drozd <nina.drozd@arm.com>2019-05-21 12:29:23 +0100
commit997dd8c4fc5a3fef5dd1d6bce829d4d241e4becb (patch)
tree3f19266106df4db306a45828d353b18724adc79c /src/armnnQuantizer
parent825af454a1df237dc3b5e4996ed85c71daa72284 (diff)
downloadarmnn-997dd8c4fc5a3fef5dd1d6bce829d4d241e4becb.tar.gz
IVGCVSW-3088 Update Readme for 19.05
* Added Readme file for ArmnnQuantizer * Added section about ArmnnQuantizer in armnn Readme file * Updated ModelAccuracyTool Readme file with default values for --compute Signed-off-by: Nina Drozd <nina.drozd@arm.com> Change-Id: I5fcead522b70086dcf63dfc6c77910a7d33d83f0
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+# The ArmnnQuantizer
+
+The `ArmnnQuantizer` 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.
+
+
+|Cmd:|||
+| ---|---|---|
+| -h | --help | Display help messages |
+| -f | --infile | Input file containing float 32 ArmNN Input Graph |
+| -s | --scheme | Quantization scheme, "QAsymm8" or "QSymm16". Default value: QAsymm8 |
+| -c | --csvfile | CSV file containing paths for raw input tensors for dynamic quantization. If unset, static quantization is used |
+| -p | --preserve-data-type | Preserve the input and output data types. If unset, input and output data types are not preserved |
+| -d | --outdir | Directory that output file will be written to |
+| -o | --outfile | ArmNN output file name |
+
+Example usage: <br>
+<code>./ArmnnQuantizer -f /path/to/armnn/input/graph/ -s "QSymm16" -c /path/to/csv/file -p 1 -d /path/to/output -o outputFileName</code> \ No newline at end of file