
The width_mult parameter is a multiplier that affects the number of channels of the model. The default value is 1 and by increasing or decreasing it one can change the number of filters of all convolutions, including the ones of the first and last layers. The implementation ensures that the number of filters is always a multiple of 8. This is a hardware optimization trick which allows for faster vectorization of operations.
