afe.core.mixed_precision.config
Functions
|
Get mct's core config, with details about error methods, bias correction, etc. |
Get mct's target platform capabilities that are used for quantization like quantization method, |
Module Contents
- afe.core.mixed_precision.config.get_core_config() model_compression_toolkit.core.CoreConfig [source]
Get mct’s core config, with details about error methods, bias correction, etc. TODO: Currently a fixed config, needs to be configurable based on user’s choices from AFE specs.
- Returns:
core_config. CoreConfig with quantization specific details.
- afe.core.mixed_precision.config.get_model_target_platform_capabilities(activation_n_bits: int) model_compression_toolkit.target_platform.TargetPlatformCapabilities [source]
Get mct’s target platform capabilities that are used for quantization like quantization method, per channel weights, layer fusing etc.
- TODO: Currently fixed specifications, but need to modified based on quantization params and
AFE’s layer fusions.
- Parameters:
activation_n_bits – Bit setting to quantize to.
- Returns:
pytorch_tpc. Target Platform Capability object with quantization details.