Files
hao-ai-lab-FastVideo/opensora/models/ae/__init__.py
T
LinB203 6c12429fd2 train t2v feature
Former-commit-id: 7f16b162cae0e3533c8ba9aa03186a846d9e02bf
2024-03-25 16:25:01 +08:00

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Python

from .imagebase import imagebase_ae, imagebase_ae_stride, imagebase_ae_channel
from .videobase import videobase_ae, videobase_ae_stride, videobase_ae_channel
from .videobase import (
VQVAEConfiguration,
VQVAEModel,
VQVAEDataset,
VQVAETrainer,
CausalVQVAEModel,
CausalVQVAEConfiguration,
CausalVQVAEDataset,
CausalVQVAETrainer
)
ae_stride_config = {}
ae_stride_config.update(imagebase_ae_stride)
ae_stride_config.update(videobase_ae_stride)
ae_channel_config = {}
ae_channel_config.update(imagebase_ae_channel)
ae_channel_config.update(videobase_ae_channel)
def getae(args):
"""deprecation"""
ae = imagebase_ae.get(args.ae, None)
if ae is None:
ae = videobase_ae.get(args.ae, None)
assert ae is not None
return ae(args.ae)
def getae_wrapper(args):
"""deprecation"""
ae = imagebase_ae.get(args.ae, None)
if ae is None:
ae = videobase_ae.get(args.ae, None)
assert ae is not None
return ae