File size: 1,505 Bytes
a5dc865 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from ..policy import DSPolicy
from ...model_implementations.diffusers.vae import DSVAE
class VAEPolicy(DSPolicy):
def __init__(self):
super().__init__()
try:
import diffusers
if hasattr(diffusers.models, "autoencoders"):
# Diffusers >= 0.25.0
# Changes location to 'autoencoders' directory
self._orig_layer_class = diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL
elif hasattr(diffusers.models.vae, "AutoencoderKL"):
# Diffusers < 0.12.0
self._orig_layer_class = diffusers.models.vae.AutoencoderKL
else:
# Diffusers >= 0.12.0 & < 0.25.0
# Changes location of AutoencoderKL
self._orig_layer_class = diffusers.models.autoencoder_kl.AutoencoderKL
except ImportError:
self._orig_layer_class = None
def match(self, module):
return isinstance(module, self._orig_layer_class)
def match_replaced(self, module):
return isinstance(module, DSVAE)
def apply(self, module, enable_cuda_graph=True):
# TODO(cmikeh2): Enable cuda graph should be an inference configuration
return DSVAE(module, enable_cuda_graph=enable_cuda_graph)
# NOTE (lekurile): Should we have a diffusers policy class?
def attention(self, client_module):
pass
|