公开(公告)号：US20240020572A1

公开(公告)日：2024-01-18

申请号：US17819077

申请日：2022-08-11

Applicant: VMware, Inc.

Inventor： Malini BHANDARU ,  Jia ZOU ,  Hai Ning ZHANG ,  Anthea JUNG

IPC: G06N20/00 ,  G06F8/41

CPC classification number: G06N20/00 ,  G06F8/41

Abstract: The disclosure provides an approach for dynamic centralized model compilation. Embodiments include receiving, from a client, a request for a machine learning model, wherein the request indicates either one or more attributes comprising one or more of a hardware characteristic, a target precision, or a compiler characteristic, or that one or more default behaviors should be used to compile the machine learning model. Embodiments include determining a compiler for the machine learning model based on the one or more attributes or the one or more default behaviors, wherein the compiler is stored in a registry. Embodiments include compiling the machine learning model using the compiler. Embodiments include providing the compiled machine learning model to the client in response to the request.

公开(公告)号：US20200183766A1

公开(公告)日：2020-06-11

申请号：US16522596

申请日：2019-07-25

Applicant: VMware, Inc.

Inventor： Nisha KUMAR-MAYERNIK ,  Malini BHANDARU ,  John HAWLEY ,  Darren HART ,  Tim PEPPER

IPC: G06F9/54 ,  G06F16/18 ,  G06F17/24 ,  H04L9/32 ,  H04L9/06

Abstract: A system and computer-implemented method for container provenance tracking uses a build instruction file of a container image to output a new provenance document associated with the container image for distribution. For each file system layer of the container image specified in the build instruction file, an existing provenance document for the file system layer is inserted into the new provenance document. If there is no existing provenance document, information about each software component included in the file system layer is retrieved and inserted into the new provenance document.