ContextWindowResizer
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
ContextWindowResizer has 22 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Mostly:has method(7), rdf:type(2), has parameter(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (7)
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.
isMethodOfIs Method of(3)
- Forward
ex:forward - Init
ex:__init__ - Resize Window
ex:resize_window
containsContains(1)
- Revised Code
ex:revised-code
demonstratesDemonstrates(1)
- Code Example
ex:code-example
isAttributeOfIs Attribute of(1)
- Max Window Size
ex:max_window_size
isBaseClassIs Base Class(1)
- Nn.module
ex:nn.Module
Other facts (20)
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.
| Predicate | Value | Ref |
|---|---|---|
| Has Method | Forward | [1] |
| Has Method | Resize Window | [1] |
| Has Method | Init | [2] |
| Has Method | Forward | [2] |
| Has Method | Resize Window | [2] |
| Has Method | Calculate New Window Size | [2] |
| Has Method | Calculate Query Complexity | [2] |
| Rdf:type | Class | [1] |
| Rdf:type | Class | [2] |
| Has Parameter | max_window_size | [1] |
| Inherits From | Nn.module | [1] |
| Has Initializer | Init | [1] |
| Call Method | Resize Window | [1] |
| Purpose | Dynamic Context Window Resizing | [1] |
| Has Superclass | Nn.module | [1] |
| Calls Super | Nn.module. Init | [1] |
| Stores Attribute | Max Window Size | [1] |
| Is Py Torch Module | true | [1] |
| Designed for | Sequence Models | [1] |
| Inherits From Py Torch | Nn.module | [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.
References (2)
ctx:claims/beam/83f64273-9200-45a2-92d1-45b3601b1ba6- full textbeam-chunktext/plain1 KB
doc:beam/83f64273-9200-45a2-92d1-45b3601b1ba6Show excerpt
resizer = ContextWindowResizer(max_window_size=512) input_ids = torch.tensor([[1, 2, 3], [4, 5, 6]]) attention_mask = torch.tensor([[0, 0, 1], [1, 0, 0]]) resized_window = resizer(input_ids, attention_mask) print(resized_window) ``` How can…
ctx:claims/beam/567b6da2-812f-4974-8fda-2036a11691e1- full textbeam-chunktext/plain1 KB
doc:beam/567b6da2-812f-4974-8fda-2036a11691e1Show excerpt
# Test the class resizer = ContextWindowResizer(max_window_size=512) input_ids = torch.tensor([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]) attention_mask = torch.tensor([[1, 1, 1, 0, 0], [1, 1, 1, 1, 0]]) resized_window = resizer(input_ids, attenti…
See also
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