Calibration
Workflow
Collect the dynamic ranges of the weights and biases in the convolution and fully connected layers of the quantized network and the dynamic ranges of the activations in all layers.
The calibrate
method uses the collected dynamic ranges to generate an
exponents file. The dlhdl.Workflow
class compile
method
uses the exponents file to generate a configuration file that contains the weights and
biases of the quantized network.
This workflow is the workflow to calibrate your quantized series deep learning network.
See Also
calibrate
| dlquantizationOptions
| dlquantizer
| validate