17527545. SHAPE AND DATA FORMAT CONVERSION FOR ACCELERATORS simplified abstract (International Business Machines Corporation)

From WikiPatents
Jump to navigation Jump to search

SHAPE AND DATA FORMAT CONVERSION FOR ACCELERATORS

Organization Name

International Business Machines Corporation

Inventor(s)

YASUSHI Negishi of Machida-shi (JP)

Tung D. Le of Ichikawa (JP)

HARUKI Imai of Yokohama-shi (JP)

KIYOKUNI Kawachiya of Yokohama (JP)

SHAPE AND DATA FORMAT CONVERSION FOR ACCELERATORS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17527545 titled 'SHAPE AND DATA FORMAT CONVERSION FOR ACCELERATORS

Simplified Explanation

The patent application describes a method for converting tensor data to meet the specific data format of a hardware accelerator. The method takes input tensors with a certain shape and format and modifies them to match the required format. Here are the key points:

  • Input tensors L and L are received, each with a data format of <X x Y x Z> and an n-dimension input tensor shape of <X x X x X x ... x X>.
  • The input tensor shape is stored for reference.
  • The method calculates a modified shape for the input tensors by finding the largest divisor of (X x X x ... x X) that is less than or equal to L, denoted as S.
  • It then finds the largest divisor of ((X x X x ... x X) / S) that is less than or equal to L, also denoted as S.
  • Next, it sets (((X x X x ... x X) / (S x S)) to S.
  • Finally, the method returns the modified shape as .

Potential applications of this technology:

  • This method can be used in hardware accelerators that require a specific data format for tensor data.
  • It can be applied in various fields where tensor data processing is involved, such as machine learning, computer vision, and natural language processing.

Problems solved by this technology:

  • The method solves the problem of converting tensor data to meet the specific format required by a hardware accelerator.
  • It provides a systematic approach to modify the shape of input tensors to fit the hardware accelerator's data format.

Benefits of this technology:

  • The method allows for efficient utilization of hardware accelerators by converting tensor data to the required format.
  • It simplifies the process of adapting tensor data to different hardware accelerators, saving time and effort.
  • By optimizing the shape of input tensors, it can potentially improve the performance and speed of tensor data processing.


Original Abstract Submitted

A method for converting a shape and a format of tensor data to meet a specific data format of a hardware accelerator is provided. The method receives input tensors L and L, each being constants having a data format of < X x Y x Z >, and each further having an n-dimension input tensor shape as <X x X x X x ... x X >. The method stores input tensor shape. The method calculates an n-dimension modified shape of the input tensors by (a) setting a largest divisor of (X x X x...x X ) ≤ L to S, (b) setting a largest divisor of ((X x X x...x X ) / S) ≤ L to S, (c) setting (((X x X x... x X ) / (S x S)) to S, and (d) returning the n-dimension modified shape as < S x S x S >.

Retrieved from "http://wikipatents.org/index.php?title=17527545._SHAPE_AND_DATA_FORMAT_CONVERSION_FOR_ACCELERATORS_simplified_abstract_(International_Business_Machines_Corporation)&oldid=23528"