41 lines
1.3 KiB
Python
41 lines
1.3 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"""
|
|
from enum import Enum
|
|
|
|
import numpy
|
|
import torch
|
|
|
|
from pytorch_lightning.utilities.apply_func import move_data_to_device
|
|
from pytorch_lightning.utilities.distributed import rank_zero_only, rank_zero_warn, rank_zero_info
|
|
from pytorch_lightning.utilities.parsing import AttributeDict, flatten_dict, is_picklable
|
|
|
|
try:
|
|
from apex import amp
|
|
except ImportError:
|
|
APEX_AVAILABLE = False
|
|
else:
|
|
APEX_AVAILABLE = True
|
|
|
|
NATIVE_AMP_AVALAIBLE = hasattr(torch.cuda, "amp") and hasattr(torch.cuda.amp, "autocast")
|
|
|
|
FLOAT16_EPSILON = numpy.finfo(numpy.float16).eps
|
|
FLOAT32_EPSILON = numpy.finfo(numpy.float32).eps
|
|
FLOAT64_EPSILON = numpy.finfo(numpy.float64).eps
|
|
|
|
|
|
class AMPType(Enum):
|
|
APEX = 'apex'
|
|
NATIVE = 'native'
|