Dynamic operation allocation for neural networks

    公开(公告)号:US10585703B2

    公开(公告)日:2020-03-10

    申请号:US15721716

    申请日:2017-09-29

    Applicant: Apple Inc.

    Abstract: The subject technology provides for dynamic task allocation for neural network models. The subject technology determines an operation performed at a node of a neural network model. The subject technology assigns an annotation to indicate whether the operation is better performed on a CPU or a GPU based at least in part on hardware capabilities of a target platform. The subject technology determines whether the neural network model includes a second layer. The subject technology, in response to determining that the neural network model includes a second layer, for each node of the second layer of the neural network model, determines a second operation performed at the node. Further the subject technology assigns a second annotation to indicate whether the second operation is better performed on the CPU or the GPU based at least in part on the hardware capabilities of the target platform.

    TECHNIQUES FOR SUGGESTING RECIPIENTS BASED ON A CONTEXT OF A DEVICE
    35.
    发明申请
    TECHNIQUES FOR SUGGESTING RECIPIENTS BASED ON A CONTEXT OF A DEVICE 审中-公开
    基于设备背景建议接收方的技术

    公开(公告)号:US20160357761A1

    公开(公告)日:2016-12-08

    申请号:US14812892

    申请日:2015-07-29

    Applicant: APPLE INC.

    Abstract: Systems and methods are provided for suggesting recipients. After detecting user input at a device corresponding to a trigger for providing suggested recipients, contextual information of the device representing a current state of the device is determined, where the current state is defined by state variables. Tables corresponding to previous communications made using the device are populated, each of the tables corresponding to a different sub-state of the device and including contact measures of previous communications with different recipients. The state variables can be used to identify a set of the tables corresponding to the state variables. Contact measures for potential recipients are obtained from the set of tables. A total contact measure of previous communications is computed for each potential recipient. Predicted recipients to suggest are identified based on the total contact measures of the potential recipients and using criteria, and the predicted recipients are provided to the user.

    Abstract translation: 提供系统和方法来建议接收者。 在检测到与用于提供建议的接收者的触发相对应的设备上的用户输入之后,确定表示设备当前状态的设备的上下文信息,其中当前状态由状态变量定义。 填充与使用设备进行的先前通信相对应的表,每个表对应于设备的不同子状态,并且包括与不同接收者的先前通信的联系测量。 状态变量可用于标识与状态变量相对应的一组表。 潜在收件人的联系方式可从表中获取。 为每个潜在接收者计算先前通信的总接触度量。 基于潜在收件人的总体联系方式和使用标准来识别预测的建议收件人,并向用户提供预测的收件人。

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