This release is a pre-release and may not be stable for production use.
GAN Framework
Generator
Generator must have:
def forward(self, x, return_q=True):
"""x - images [NCHW]
return_q - if True, return `r` (recons images [NCHW]),
and optional `vqres` (quantized info)
"""
...
return r, vqres if return_q else r
VQRes has definition:
VQRes = namedtuple('VQRes', [
'quantized',
'indices',
'entro_mean',
'mean_entro',
'entro_loss',
'commit_loss',
'cdbook_loss'
])
Discriminator
1 maintainer
Metadata
1 maintainer
Release files for torch-genai 0.0.1.dev1
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| torch_genai-0.0.1.dev1-py3-none-any.whl | Python 3 | none | any | Details for torch_genai-0.0.1.dev1-py3-none-any.whl |
Release files / torch_genai-0.0.1.dev1-py3-none-any.whl
| Download URL | torch_genai-0.0.1.dev1-py3-none-any.whl |
|---|---|
| Size | 46.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1fbd004218b7d82ef1b45b98030eb0e71758e922631d98d4ae64e5d4f06abeaf
|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.10.13
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Security for torch-genai 0.0.1.dev1
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