公开(公告)号：US20250103870A1

公开(公告)日：2025-03-27

申请号：US18973857

申请日：2024-12-09

Applicant: Apple Inc.

Inventor： Kenneth W. WATERS ,  Christopher L. MILLS

IPC: G06N3/063 ,  G06F9/30 ,  G06F9/48 ,  G06N3/045

Abstract: A neural processor includes neural engines for performing convolution operations on input data corresponding to one or more tasks to generate output data. The neural processor circuit also includes a data processor circuit that is coupled to one or more neural engine. The data processor circuit receives the output data from the neural engine and generates a branching command from the output data. The neural processor circuit further includes a task manager that is coupled to the data processor circuit. The task manager receives the branching command from the data processor circuit. The task manager enqueues one of two or more segment branches according to the received branching command. The two or more segment branches are subsequent to a pre-branch task segment that includes the pre-branch task. The task manager transmits a task from the selected one of the segment branches to data processor circuit to perform the task.

公开(公告)号：US20210158135A1

公开(公告)日：2021-05-27

申请号：US16695782

申请日：2019-11-26

Applicant: Apple Inc.

Inventor： Christopher L. MILLS ,  Kenneth W. WATERS ,  Youchang KIM

IPC: G06N3/063 ,  G06F9/30 ,  G06F9/54

Abstract: Embodiments relate to a neural processor that includes one or more neural engine circuits and planar engine circuits. The neural engine circuits can perform convolution operations of input data with one or more kernels to generate outputs. The planar engine circuit is coupled to the plurality of neural engine circuits. A planar engine circuit can be configured to multiple modes. In a reduction mode, the planar engine circuit may process values arranged in one or more dimensions of input to generate a reduced value. The reduced values across multiple input data may be accumulated. The planar engine circuit may program a filter circuit as a reduction tree to gradually reduce the data into a reduced value. The reduction operation reduces the size of one or more dimensions of a tensor.