Functions — github.com/amazon-science/long-short-term-transformer

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Functions108 in github.com/amazon-science/long-short-term-transformer

⨍ Functions 108◇ Types & classes 24 ↳ Endpoints 2

Functionlayer_norm

(d_model, condition=True)

src/rekognition_online_action_detection/models/transformer/utils.py:9

(self, module_name, module=None)

src/rekognition_online_action_detection/utils/registry.py:14

Methodregister_fn

src/rekognition_online_action_detection/utils/registry.py:19

Methodstream_inference

(self, tgt, memory, pos, tgt_mask=None, memory_mask=None, tgt_key_padding_mask=None,

src/rekognition_online_action_detection/models/transformer/transformer.py:187

Methodstream_inference

(self, q, k, v, k_pos, v_pos, attn_mask=None)

src/rekognition_online_action_detection/models/transformer/multihead_attention.py:41

Methodstream_inference

(self, q, k, v, pos, attn_mask=None, key_padding_mask=None)

src/rekognition_online_action_detection/models/transformer/multihead_attention.py:176

Functionthumos_postprocessing

We follow (Shou et al., 2017) and adopt their perframe postprocessing method on THUMOS'14 datset. Source: https://bitbucket.org/colum

src/rekognition_online_action_detection/evaluation/postprocessing.py:9

Functionweights_init

src/rekognition_online_action_detection/models/weights_init.py:9

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