PATENT CLAIM ANALYSIS

Application Number: 15903991
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-11
Patent Classification: ["712", "221000"]

Abstract:
Methods, systems, and apparatus, including an apparatus for accessing a N-dimensional tensor, the apparatus including, for each dimension of the N-dimensional tensor, a partial address offset value element that stores a partial address offset value for the dimension based at least on an initial value for the dimension, a step value for the dimension, and a number of iterations of a loop for the dimension. The apparatus includes a hardware adder and a processor. The processor obtains an instruction to access a particular element of the N-dimensional tensor. The N-dimensional tensor has multiple elements arranged across each of the N dimensions, where N is an integer that is equal to or greater than one. The processor determines, using the partial address offset value elements and the hardware adder, an address of the particular element and outputs data indicating the determined address for accessing the particular element of the N-dimensional tensor.

Claim (Index 2):
The apparatus of  claim 1 , further comprising one or more hardware processors configured to execute one or more instructions of an instruction set executable by the one or more hardware processors, wherein execution of the one or more instructions causes the one or more hardware adders to perform operations comprising causing the one or more hardware adders to determine the memory addresses for locations in memory for storing data values for a sequence of data elements of the N-dimensional tensor.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.59375
- Patent Class: 712.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15603061', '15664842', '15844192', '15456812', '15014265']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5754315064308871
- 35 USC 102 Novelty (BERT): 0.5459586206854202
- Combined Prediction Score: 0.5724842178563405
- Mean Citation Score: 325.511754
- Max Citation Score: 400.58344
- Similarity Product: 330.74094386228563

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test