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Author:
Andrei Stoian
License:
Summary:
Quantization-aware training in PyTorch
Latest version:
0.1.0
Required dependencies:
dataclasses
|
dependencies
|
future-annotations
|
onnx
|
packaging
|
setuptools
|
torch
|
typing-extensions
Optional dependencies:
bitstring
|
finn-base
|
hypothesis
|
inflect
|
jupyter
|
librosa
|
mock
|
nbmake
|
numba
|
numpy
|
onnx
|
onnxoptimizer
|
onnxruntime
|
pillow
|
pytest
|
pytest-cases
|
pytest-mock
|
pyyaml
|
qonnx
|
requests
|
ruamel.yaml
|
scipy
|
soundfile
|
sox
|
toposort
|
torch
|
torch-stft
|
torchvision
|
tqdm
|
unidecode
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