int8 Calibration data with semantic segmentation

Hi

I successfully depoyed a fp16 network with GPU Coder. In order to accelerate speed I would like to test int8 resolution with the GPU Coder.

Therefore I changed the following option in the GPU Coder:

cfg.DeepLearningConfig.DataType = 'int8';

In the help is described that an additional data set must be provided to calibrate the network with limited resolution:

cfg.DeepLearningConfig.DataPath = 'C:\Temp\Matlab\Calibration\';

Even the documentation is not very clear how the provide calibration data for semantic segmentation I simply specified the logos_dataset from the TensorRT example for a first try. However as soon as I switch from fp16 to int8 I get the following error from GPU Coder:

??? Error generating Makefile while generating code for network 2019b-huc0102_0. TensorRT INT8 supports only classification networks. Output layer of network must be a
ClassificationOutputLayer

Are there any plans to support this semantic segmentation with int8 resolution in the future?

Best regards, Markus

Answer 1

[Jaya Shankar]

Hi Markus

GPU Coder does not support INT8 inference for regression and semantic segmentation networks today. We will be looking to add this in a later release.

Jaya

Answer 2

[Christian Huggler]

Are there any news according INT8 for semantic segmentation networks?