dev-python/concrete-ml-extensions-brevitas
Quantization-aware training in PyTorch [wheel]
Screenshots
-
concrete-ml-extensions-brevitas-0.1.0~amd64 ~x86export finn_integration_ge_pt150 finn_integration_lt_pt150 hadamard notebook ort_integration stt test tts python_targets_python3_11 python_targets_python3_12 python_targets_python3_13 python_targets_python3_14
View 
Download 
Browse License: Overlay: pypi
USE Flags
export
* This flag is undocumented *
finn_integration_ge_pt150
* This flag is undocumented *
finn_integration_lt_pt150
* This flag is undocumented *
hadamard
* This flag is undocumented *
notebook
* This flag is undocumented *
ort_integration
* This flag is undocumented *
stt
* This flag is undocumented *
test
Global: Workaround to pull in packages needed to run with FEATURES=test. Portage-2.1.2 handles this internally, so don't set it in make.conf/package.use anymore
tts
Global: Enable Text-To-Speech server support
python_targets_python3_11
* This flag is undocumented *
python_targets_python3_12
* This flag is undocumented *
python_targets_python3_13
* This flag is undocumented *
python_targets_python3_14
* This flag is undocumented *