emmi_inference.models.pipelines.concat_tensor_precollator
WARNING
This file is a 1:1 duplicate from the tutorial folder.
It is here to avoid installation of a tutorial as a package and keep it isolated.
Module Contents
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class emmi_inference.models.pipelines.concat_tensor_precollator.ConcatTensorPreCollator(items, target_key, dim=0)
Bases: noether.data.pipeline.SampleProcessor
Concatenates multiple tensors into a single tensor.
- Parameters:
items (list[str]) – A list of keys in the sample dict whose tensors should be concatenated.
target_key (str) – The key in the sample dict where the concatenated tensor will be stored.
dim (int) – The dimension along which to concatenate the tensors. Defaults to 0.
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items
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target_key
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dim = 0