TIGER / GRID /src /models /components /interfaces.py
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from typing import List, Union
import torch
class ModelOutput:
def __init__(self, *args, **kwargs):
raise NotImplementedError
@property
def list_of_row_format(self):
"""
Function used to convert the predictions into a format that can be written to BigQuery.
"""
raise NotImplementedError
def _convert_to_list(self, prediction: Union[torch.Tensor, List]) -> List:
"""
Convert the prediction to a list so it can be serialized.
"""
if isinstance(prediction, torch.Tensor):
return prediction.detach().cpu().tolist()
return prediction
class SharedKeyAcrossPredictionsOutput(ModelOutput):
"""
A class to represent the output of a model with a single key for all predictions in a batch.
Attributes:
key: The single key associated with all the predictions.
predictions: The predictions made by the model.
key_name (str): The name of the key attribute. Default is "idx".
prediction_name (str): The name of the prediction attribute. Default is "prediction".
"""
def __init__(
self,
key,
predictions,
key_name: str = "idx",
prediction_name: str = "prediction",
):
self.key = key
self.predictions = predictions
self.key_name = key_name
self.prediction_name = prediction_name
@property
def list_of_row_format(self):
return [
{self.key_name: self.key, self.prediction_name: pred}
for pred in self._convert_to_list(self.predictions)
]
class OneKeyPerPredictionOutput(ModelOutput):
"""
A class used to represent the output of a model where each prediction is associated with a unique key.
Attributes
----------
keys : Any
The keys associated with each prediction.
predictions : Any
The predictions made by the model.
key_name : str, optional
The name to be used for the key in the output dictionary (default is "idx").
prediction_name : str, optional
The name to be used for the prediction in the output dictionary (default is "prediction").
"""
def __init__(
self,
keys,
predictions,
key_name: str = "idx",
prediction_name: str = "prediction",
):
self.keys = keys
self.predictions = predictions
self.key_name = key_name
self.prediction_name = prediction_name
@property
def list_of_row_format(self):
return [
{self.key_name: key, self.prediction_name: pred}
for key, pred in zip(
self._convert_to_list(self.keys),
self._convert_to_list(self.predictions),
)
]