Compressing a Model to FP16¶
Model Optimizer can convert all floating-point weights to
FP16 data type. The resulting IR is called compressed
FP16 model. The resulting model will occupy about twice as less space in the file system, but it may have some accuracy drop. For most models, the accuracy drop is negligible.
To compress the model, use the
Starting from the 2022.3 release, option data_type is deprecated. Instead of data_type FP16 use compress_to_fp16. Using
--data_type FP32 will give no result and will not force
FP32 precision in the model. If the model has
FP16 constants, such constants will have
FP16 precision in IR as well.
mo --input_model INPUT_MODEL --compress_to_fp16
For details on how plugins handle compressed
FP16 models, see Working with devices.
FP16 compression is sometimes used as the initial step for
INT8 quantization. Refer to the Post-training optimization guide for more information about that.