Input Ids

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Input Ids

Rdf:type	Data Structure^[21]
Rdf:type	Input Tensor^[17]
Rdfs:label	input IDs tensor^[19]
Rdfs:label	input_ids^[2]
Shape	2x5 Matrix^[6]
Shape	Batch Sequence^[19]
Extracted From	Batch^[7]
Extracted From	Inputs^[9]
Used in	Call Resizer^[13]
Used in	Model.predict^[3]
Has Value	[[1, 2, 3], [4, 5, 6]]^[13]
Has Value	[[1,2,3],[4,5,6,7,8]]^[4]
Test Value	2^[3]
Test Value	4^[3]
Contains	5^[5]
Contains	3^[5]

ex:input_ids

Input Ids has 72 facts recorded in Dontopedia across 28 references, with 9 live disagreements.

72 facts·33 predicates·28 sources·9 in dispute

Mostly:rdf:type(17), test value(6), contains(6)

Rdf:typein dispute`rdf:type`

Data Structure^[21]all time · A10182c8 E54b 4783 A4b1 C5d233c5025c
Data Structure^[2]all time · 71b02d54 2e3e 4209 Bc15 830d649e8e90
Input Tensor^[17]all time · Cc213d9b 9051 49f2 Ac29 2090be7dfaea
Parameter^[16]all time · 04bd25c0 Df3e 4304 Bfa4 8ddd9781d277
Tensor^[13]sourceall time · 83f64273 9200 45a2 92d1 45b3601b1ba6
Tensor^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2
Tensor^[22]all time · 2d91ade4 2b08 48f8 8245 9ae483489b3b
Tensor^[23]all time · 84556ae2 D396 48eb 81c6 704c82a08825
Tensor^[24]sourceall time · 215decc9 42f1 439f 999b 0bff9ae082f7
Tensor^[4]all time · 0b23a80b F9ef 446d B8b0 071897d6561c

Rdfs:labelin dispute`rdfs:label`

input IDs tensor^[19]all time · 4a50c854 B09b 4bcb B327 B69ec1282815
input_ids^[2]all time · 71b02d54 2e3e 4209 Bc15 830d649e8e90
input_ids^[15]all time · 5a00c51f Dd1e 428b B79b 370b9163f60f
input_ids^[20]all time · 481885b5 A843 406e 88df 3f6b0f5b374d
input_ids^[21]all time · A10182c8 E54b 4783 A4b1 C5d233c5025c

Shapein dispute`shape`

2x5 Matrix^[6]all time · 567b6da2 812f 4974 8fda 2036a11691e1
Batch Sequence^[19]all time · 4a50c854 B09b 4bcb B327 B69ec1282815
[2, 3]^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2
[2, 3]^[13]all time · 83f64273 9200 45a2 92d1 45b3601b1ba6

Extracted Fromin dispute`extractedFrom`

Batch^[7]all time · F266ef67 57dd 4b1f B9ab 661effb75c4b
Inputs^[9]all time · 4f2b71f5 A60a 404d Bc64 D2ee772a2eb2
inputs^[10]sourceall time · 569b322c A60c 41e9 Bdbf 4a38fed922cb

Used inin dispute`usedIn`

Call Resizer^[13]all time · 83f64273 9200 45a2 92d1 45b3601b1ba6
Model.predict^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2

Has Valuein dispute`hasValue`

[[1, 2, 3], [4, 5, 6]]^[13]sourceall time · 83f64273 9200 45a2 92d1 45b3601b1ba6
[[1,2,3],[4,5,6,7,8]]^[4]all time · 0b23a80b F9ef 446d B8b0 071897d6561c

Test Valuein dispute`testValue`

2^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2
4^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2
6^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2
3^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2
5^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2
1^[3]all time · B184c9b3 F915 49c1 97f9 5f00d01803f2

Containsin dispute`contains`

5^[5]sourceall time · E12c00fd 463a 4d46 Bb15 7c1dbfe99823
3^[5]sourceall time · E12c00fd 463a 4d46 Bb15 7c1dbfe99823
1^[5]sourceall time · E12c00fd 463a 4d46 Bb15 7c1dbfe99823
2^[5]sourceall time · E12c00fd 463a 4d46 Bb15 7c1dbfe99823
6^[5]sourceall time · E12c00fd 463a 4d46 Bb15 7c1dbfe99823
4^[5]sourceall time · E12c00fd 463a 4d46 Bb15 7c1dbfe99823

Contains Sequencein dispute`containsSequence`

First Sequence^[6]sourceall time · 567b6da2 812f 4974 8fda 2036a11691e1
Second Sequence^[6]sourceall time · 567b6da2 812f 4974 8fda 2036a11691e1

Accessed at Index`accessedAtIndex`

0^[1]sourceall time · E30c9b5a 0f4a 42ec A48a 5900c9820bef
0^[2]sourceall time · 71b02d54 2e3e 4209 Bc15 830d649e8e90

Part of`partOf`

Inputs^[17]sourceall time · Cc213d9b 9051 49f2 Ac29 2090be7dfaea

Extracted From`extracted_from`

Tokenizer Output Dict^[8]sourceall time · B5573ddd 8b6e 4548 A117 B6f5f7970ed3

Inbound mentions (54)

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.

`hasParameter`Has Parameter(8)

Calculate Embedding Dimensionsex:calculate_embedding_dimensions
Check Window Size Mismatchex:check_window_size_mismatch
Forwardex:forward
Forwardex:forward
Implement Context Window Conceptsex:implement_context_window_concepts
Implement Dynamic Context Window Conceptsex:implement_dynamic_context_window_concepts
Implement Dynamic Context Window Conceptsex:implement_dynamic_context_window_concepts
Model.generateex:model.generate

`calledWith`Called With(3)

Implement Context Window Conceptsex:implement_context_window_concepts
Modelex:model
Modelex:model

`contains`Contains(3)

Batchex:batch
Inputsex:inputs
Inputsex:inputs

`returns`Returns(3)

Context Datasetex:ContextDataset
Forwardex:forward
Preprocess Input Dataex:preprocess_input_data

`appliedTo`Applied to(2)

Lambdaex:Lambda
Len Input Idsex:len_input_ids

`derivedFrom`Derived From(2)

Chunkex:chunk
Input Ids Numpyex:input_ids_numpy

`extracts`Extracts(2)

Segmentex:segment
Tokenizationex:tokenization

`requires`Requires(2)

Inferenceex:Inference
Segmentation Processex:segmentation_process

`accesses`Accesses(1)

Segmentex:segment

`assignsLocalVariable`Assigns Local Variable(1)

Segmentex:segment

`calledOn`Called on(1)

Modelex:model

`containsKey`Contains Key(1)

Inputsex:inputs

`containsTensor`Contains Tensor(1)

Batchex:batch

`converts`Converts(1)

Embedding Layerex:embedding_layer

`convertsTo`Converts to(1)

Tokenizerex:tokenizer

`createsTensor`Creates Tensor(1)

Test Codeex:test_code

`divides`Divides(1)

Segmentationex:segmentation

`extractedFrom`Extracted From(1)

Chunk Idsex:chunk_ids

`hasArgument`Has Argument(1)

Model Generateex:model_generate

`hasKey`Has Key(1)

Inputsinputs

`inputs`Inputs(1)

Model Forward Passex:model-forward-pass

`isCalculatedFrom`Is Calculated From(1)

Word Indexword_index

`iteratesOver`Iterates Over(1)

Chunk Iterationex:chunkIteration

`lookedUpIn`Looked Up in(1)

Wordex:word

`passes`Passes(1)

Testex:test

`performsSlicing`Performs Slicing(1)

Segmentex:segment

`processes`Processes(1)

Optimize Input Idsex:optimize_input_ids

`produces`Produces(1)

Tokenization Stepex:tokenization_step

`receiver`Receiver(1)

Input Ids Numpy Callex:input_ids_numpy_call

`receivesParameter`Receives Parameter(1)

Model.forwardex:model.forward

`slices`Slices(1)

Resize Windowex:resize_window

`specifiesParameters`Specifies Parameters(1)

Point 2 Calculateex:point-2-calculate

`splits`Splits(1)

Segmentation Processex:segmentation_process

`squeezesTensor`Squeezes Tensor(1)

Getitemex:__getitem__

`takesInput`Takes Input(1)

Segmentation Processex:segmentation_process

`takesParameter`Takes Parameter(1)

Convert Ids to Tokensex:convert_ids_to_tokens

`uses`Uses(1)

Testex:test

Other facts (21)

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.

21 facts

Predicate	Value	Ref
Has Index	0	[11]
Is Processed by	Optimize Input Ids	[14]
Parameter of	Implement Dynamic Context Window Concepts	[16]
Type	tf.Tensor	[3]
Converted to Numpy	Input Ids.numpy()	[3]
Value	[[1, 2, 3], [4, 5, 6]]	[3]
Assigned From	Tf.constant	[3]
Assigned Value	[[1,2,3],[4,5,6,7,8]]	[4]
Has Shape	2D array	[12]
Is Variable in	Code Snippet	[5]
Has Same Shape As	Attention Mask	[6]
Semantic Role	Token Identifiers	[6]
Is2 D Tensor	true	[13]
Purpose	Token Identification	[18]
Used by	Model	[18]
Moved to	Device	[15]
Indexed at	0	[10]
Indexed by	0	[10]
Has Batch Dimension	0	[1]
Moved to Device	Device	[7]
Data Type	Torch Tensor	[7]

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.

72 undated

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accessedAtIndexbeam/e30c9b5a-0f4a-42ec-a48a-5900c9820bef

—

accessedAtIndexbeam/71b02d54-2e3e-4209-bc15-830d649e8e90

—

assignedFrombeam/b184c9b3-f915-49c1-97f9-5f00d01803f2

ex:tf.constant

—

assignedValuebeam/0b23a80b-f9ef-446d-b8b0-071897d6561c

[[1,2,3],[4,5,6,7,8]]

—