Dontopedia

torch.nn.Linear

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

torch.nn.Linear has 5 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

5 facts·3 predicates·2 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (3)

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parameterParameter(1)

specifiedLayerTypeSpecified Layer Type(1)

typeType(1)

Other facts (4)

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4 facts
PredicateValueRef
Rdf:typePy Torch Layer[1]
Rdf:typePy Torch Layer Type[2]
Has Input Size10[1]
Has Output Size1[1]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/2b55433d-f10b-4ba8-ac07-7b8a156dc333
ex:PyTorchLayer
labelbeam/2b55433d-f10b-4ba8-ac07-7b8a156dc333
torch.nn.Linear
hasInputSizebeam/2b55433d-f10b-4ba8-ac07-7b8a156dc333
10
hasOutputSizebeam/2b55433d-f10b-4ba8-ac07-7b8a156dc333
1
typebeam/cf0f131f-3746-4a4d-8090-55a6c610aac6
ex:PyTorchLayerType

References (2)

2 references
  1. ctx:claims/beam/2b55433d-f10b-4ba8-ac07-7b8a156dc333
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2b55433d-f10b-4ba8-ac07-7b8a156dc333
      Show excerpt
      - Use tools like `torch.utils.benchmark` to measure and compare the performance of different configurations. ### Example with Error Handling Here's an example with error handling: ```python import torch import torch.nn as nn class Sc
  2. ctx:claims/beam/cf0f131f-3746-4a4d-8090-55a6c610aac6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/cf0f131f-3746-4a4d-8090-55a6c610aac6
      Show excerpt
      # Test the batch inference function texts = ["This is a sample text"] * 5000 # Create a list of 5000 texts start_time = time.time() outputs = perform_batch_inference(texts) end_time = time.time() print(f"Inference time: {end_time - start_t

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