lightning/pytorch_lightning/utilities/__init__.py

61 lines
2.1 KiB
Python

# Copyright The PyTorch Lightning team.
#
# 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.
"""General utilities"""
import numpy
from pytorch_lightning.utilities.apply_func import move_data_to_device # noqa: F401
from pytorch_lightning.utilities.distributed import AllGatherGrad, rank_zero_info, rank_zero_only # noqa: F401
from pytorch_lightning.utilities.enums import ( # noqa: F401
AMPType,
DeviceType,
DistributedType,
GradClipAlgorithmType,
LightningEnum,
)
from pytorch_lightning.utilities.grads import grad_norm # noqa: F401
from pytorch_lightning.utilities.imports import ( # noqa: F401
_APEX_AVAILABLE,
_BOLTS_AVAILABLE,
_DEEPSPEED_AVAILABLE,
_FAIRSCALE_AVAILABLE,
_FAIRSCALE_FULLY_SHARDED_AVAILABLE,
_FAIRSCALE_OSS_FP16_BROADCAST_AVAILABLE,
_GROUP_AVAILABLE,
_HOROVOD_AVAILABLE,
_HYDRA_AVAILABLE,
_HYDRA_EXPERIMENTAL_AVAILABLE,
_IPU_AVAILABLE,
_IS_INTERACTIVE,
_JSONARGPARSE_AVAILABLE,
_module_available,
_NATIVE_AMP_AVAILABLE,
_OMEGACONF_AVAILABLE,
_POPTORCH_AVAILABLE,
_TORCH_GREATER_EQUAL_1_7,
_TORCH_GREATER_EQUAL_1_8,
_TORCH_GREATER_EQUAL_1_9,
_TORCH_QUANTIZE_AVAILABLE,
_TORCHTEXT_AVAILABLE,
_TORCHVISION_AVAILABLE,
_TPU_AVAILABLE,
_XLA_AVAILABLE,
)
from pytorch_lightning.utilities.parsing import AttributeDict, flatten_dict, is_picklable # noqa: F401
from pytorch_lightning.utilities.warnings import rank_zero_deprecation, rank_zero_warn # noqa: F401
FLOAT16_EPSILON = numpy.finfo(numpy.float16).eps
FLOAT32_EPSILON = numpy.finfo(numpy.float32).eps
FLOAT64_EPSILON = numpy.finfo(numpy.float64).eps