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Source code for flash.core.integrations.pytorch_forecasting.transforms

# 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, Dict, List, Tuple

from torch.utils.data._utils.collate import default_collate

from flash.core.data.io.input import DataKeys


[docs]def convert_predictions(predictions: List[Dict[str, Any]]) -> Tuple[Dict[str, Any], List]: # Flatten list if batches were used if all(isinstance(fl, list) for fl in predictions): unrolled_predictions = [] for prediction_batch in predictions: unrolled_predictions.extend(prediction_batch) predictions = unrolled_predictions result = default_collate(predictions) inputs = result.pop(DataKeys.INPUT) return result, inputs

© Copyright 2020-2021, PyTorch Lightning. Revision a9cedb5a.

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