diffusers/src/diffusers/utils/__init__.py at main · feisan/diffusers · GitHub

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# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

# http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

import os

from packaging import version

from .. import __version__

from .accelerate_utils import apply_forward_hook

from .constants import (

CONFIG_NAME,

DEPRECATED_REVISION_ARGS,

DIFFUSERS_CACHE,

DIFFUSERS_DYNAMIC_MODULE_NAME,

FLAX_WEIGHTS_NAME,

HF_MODULES_CACHE,

HUGGINGFACE_CO_RESOLVE_ENDPOINT,

ONNX_EXTERNAL_WEIGHTS_NAME,

ONNX_WEIGHTS_NAME,

SAFETENSORS_WEIGHTS_NAME,

WEIGHTS_NAME,

)

from .deprecation_utils import deprecate

from .doc_utils import replace_example_docstring

from .dynamic_modules_utils import get_class_from_dynamic_module

from .hub_utils import HF_HUB_OFFLINE, http_user_agent

from .import_utils import (

ENV_VARS_TRUE_AND_AUTO_VALUES,

ENV_VARS_TRUE_VALUES,

USE_JAX,

USE_TF,

USE_TORCH,

DummyObject,

OptionalDependencyNotAvailable,

is_accelerate_available,

is_accelerate_version,

is_flax_available,

is_inflect_available,

is_k_diffusion_available,

is_k_diffusion_version,

is_librosa_available,

is_omegaconf_available,

is_onnx_available,

is_safetensors_available,

is_scipy_available,

is_tensorboard_available,

is_tf_available,

is_torch_available,

is_torch_version,

is_transformers_available,

is_transformers_version,

is_unidecode_available,

is_wandb_available,

is_xformers_available,

requires_backends,

)

from .logging import get_logger

from .outputs import BaseOutput

from .pil_utils import PIL_INTERPOLATION

from .torch_utils import randn_tensor

if is_torch_available():

from .testing_utils import (

floats_tensor,

load_hf_numpy,

load_image,

load_numpy,

nightly,

parse_flag_from_env,

print_tensor_test,

require_torch_gpu,

skip_mps,

slow,

torch_all_close,

torch_device,

)

logger = get_logger(__name__)

def check_min_version(min_version):

if version.parse(__version__) < version.parse(min_version):

if "dev" in min_version:

error_message = (

"This example requires a source install from HuggingFace diffusers (see "

"`https://huggingface.co/docs/diffusers/installation#install-from-source`),"

)

else:

error_message = f"This example requires a minimum version of {min_version},"

error_message += f" but the version found is {__version__}.\n"

raise ImportError(error_message)

diffusers/src/diffusers/utils/__init__.py at main · feisan/diffusers · GitHub

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