Dontopedia

Squeeze

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Squeeze has 8 facts recorded in Dontopedia across 3 references.

8 facts·8 predicates·3 sources

Mostly:produces output(1), collapses dimension(1), applied on(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

isInputToIs Input to(1)

performedByPerformed by(1)

postProcessedByPost Processed by(1)

usesSqueezeUses Squeeze(1)

Other facts (8)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

8 facts
PredicateValueRef
Produces OutputContiguous Output[1]
Collapses Dimensionlength-1 dim[1]
Applied onEmbeddings[2]
Numpy Methodnumpy.squeeze[2]
Is Final Operationtrue[3]
FollowsFc3[3]
RemovesDimensions of Size One[3]
ModifiesTensor Shape[3]

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.

producesOutputblah/watt-activation/part-78
ex:contiguous-output
collapsesDimensionblah/watt-activation/part-78
length-1 dim
appliedOnbeam/91fac1d0-d0d5-4ffd-8ea8-c697f1dd56cc
ex:embeddings
numpy methodbeam/91fac1d0-d0d5-4ffd-8ea8-c697f1dd56cc
numpy.squeeze
isFinalOperationbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
true
followsbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:fc3
removesbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:dimensions-of-size-one
modifiesbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:tensor-shape

References (3)

3 references
  1. [1]Part 782 facts
    ctx:discord/blah/watt-activation/part-78
  2. ctx:claims/beam/91fac1d0-d0d5-4ffd-8ea8-c697f1dd56cc
  3. ctx:claims/beam/b729dc6d-53ff-42db-95a2-0b4b64111a65
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b729dc6d-53ff-42db-95a2-0b4b64111a65
      Show excerpt
      self.fc3 = nn.Linear(32, 1) self.dropout = nn.Dropout(0.5) def forward(self, x): x = torch.relu(self.fc1(x)) x = self.dropout(x) x = torch.relu(self.fc2(x)) x = self.dropout(x) x

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