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Source code for flash.core.data.io.output_transform

# 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 typing import Any, Sequence

from flash.core.data.batch import default_uncollate


[docs]class OutputTransform: """The :class:`~flash.core.data.io.output_transform.OutputTransform` encapsulates all the data processing logic that should run after the model."""
[docs] @staticmethod def per_batch_transform(batch: Any) -> Any: """Transforms to apply on a whole batch before uncollation to individual samples. Can involve both CPU and Device transforms as this is not applied in separate workers. """ return batch
[docs] @staticmethod def per_sample_transform(sample: Any) -> Any: """Transforms to apply to a single sample after splitting up the batch. Can involve both CPU and Device transforms as this is not applied in separate workers. """ return sample
[docs] @staticmethod def uncollate(batch: Any) -> Any: """Uncollates a batch into single samples. Tries to preserve the type wherever possible. """ return default_uncollate(batch)
def __call__(self, batch: Sequence[Any]): if batch is None: return batch uncollated = self.uncollate(self.per_batch_transform(batch)) return [self.per_sample_transform(sample) for sample in uncollated]

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