Move mixin to core (#8396)

* Move mixin to core

* Move mixin to core
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Kaushik B 2021-07-19 13:45:59 +05:30 committed by GitHub
parent ae1fd6a201
commit 9ed6783357
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8 changed files with 21 additions and 6 deletions

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@ -20,9 +20,9 @@ from typing import Any, List, Mapping, Optional, Sequence, Tuple, Union
from torch.utils.data import DataLoader, Dataset, IterableDataset
from pytorch_lightning.core.hooks import CheckpointHooks, DataHooks
from pytorch_lightning.core.mixins import HyperparametersMixin
from pytorch_lightning.utilities import rank_zero_deprecation
from pytorch_lightning.utilities.argparse import add_argparse_args, from_argparse_args, get_init_arguments_and_types
from pytorch_lightning.utilities.hparams_mixin import HyperparametersMixin
class LightningDataModule(CheckpointHooks, DataHooks, HyperparametersMixin):

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@ -34,16 +34,15 @@ from torchmetrics import Metric
from pytorch_lightning.core.grads import GradInformation
from pytorch_lightning.core.hooks import CheckpointHooks, DataHooks, ModelHooks
from pytorch_lightning.core.memory import ModelSummary
from pytorch_lightning.core.mixins import DeviceDtypeModuleMixin, HyperparametersMixin
from pytorch_lightning.core.optimizer import LightningOptimizer
from pytorch_lightning.core.saving import ModelIO
from pytorch_lightning.trainer.connectors.logger_connector.fx_validator import FxValidator
from pytorch_lightning.utilities import rank_zero_deprecation, rank_zero_warn
from pytorch_lightning.utilities.apply_func import apply_to_collection, convert_to_tensors
from pytorch_lightning.utilities.cloud_io import get_filesystem
from pytorch_lightning.utilities.device_dtype_mixin import DeviceDtypeModuleMixin
from pytorch_lightning.utilities.distributed import distributed_available, sync_ddp
from pytorch_lightning.utilities.exceptions import MisconfigurationException
from pytorch_lightning.utilities.hparams_mixin import HyperparametersMixin
from pytorch_lightning.utilities.parsing import collect_init_args
from pytorch_lightning.utilities.signature_utils import is_param_in_hook_signature
from pytorch_lightning.utilities.types import _METRIC_COLLECTION, EPOCH_OUTPUT, STEP_OUTPUT

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@ -0,0 +1,16 @@
# 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.
from pytorch_lightning.core.mixins.device_dtype_mixin import DeviceDtypeModuleMixin # noqa F401
from pytorch_lightning.core.mixins.hparams_mixin import HyperparametersMixin # noqa F401

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@ -18,7 +18,7 @@ from torch.nn import DataParallel
from torch.nn.parallel import DistributedDataParallel
import pytorch_lightning as pl
from pytorch_lightning.utilities.device_dtype_mixin import DeviceDtypeModuleMixin
from pytorch_lightning.core.mixins import DeviceDtypeModuleMixin
class _LightningPrecisionModuleWrapperBase(DeviceDtypeModuleMixin, torch.nn.Module):

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@ -19,10 +19,10 @@ from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple, Union
import torch
from torchmetrics import Metric
from pytorch_lightning.core.mixins import DeviceDtypeModuleMixin
from pytorch_lightning.utilities import rank_zero_warn
from pytorch_lightning.utilities.apply_func import apply_to_collection, apply_to_collections
from pytorch_lightning.utilities.data import extract_batch_size
from pytorch_lightning.utilities.device_dtype_mixin import DeviceDtypeModuleMixin
from pytorch_lightning.utilities.distributed import distributed_available
from pytorch_lightning.utilities.enums import LightningEnum
from pytorch_lightning.utilities.exceptions import MisconfigurationException

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@ -16,7 +16,7 @@ import torch
import torch.nn as nn
from pytorch_lightning import Callback, Trainer
from pytorch_lightning.utilities.device_dtype_mixin import DeviceDtypeModuleMixin
from pytorch_lightning.core.mixins import DeviceDtypeModuleMixin
from tests.helpers import BoringModel
from tests.helpers.runif import RunIf