Abstract: Disclosed are a network accuracy quantification method, system, and device, an electronic device and a readable medium, which are applicable to a many-core chip. The method includes: determining a reference accuracy according to a total core resource number of the many-core chip and the number of core resources required by each network to be quantified, with the number of the core resources required by each network to be quantified being the number of the core resources which is determined after each network to be quantified is quantified; and determining a target accuracy corresponding to each network to be quantified according to the reference accuracy and the total core resource number of the many-core chip.

Abstract: An aircraft seat backrest with a lifesaving function, including a backrest body and a back plate assembly, wherein a containing cavity is arranged in a front face of the backrest body, the back plate assembly includes a back plate covering the containing cavity and a lifesaving parachute pack that is arranged on a back face of the back plate and contained in the containing cavity, the back plate is fixedly connected with the backrest body through a quick release mechanism in a quickly separable manner, lifesaving straps of the lifesaving parachute pack pass through strap through holes in the back plate, and an occupant leans against the back plate and is connected with the back plate and the lifesaving parachute pack through the lifesaving straps when riding.

Abstract: Disclosed are a network accuracy quantification method, system, and device, an electronic device and a readable medium, which are applicable to a many-core chip. The method includes: determining a reference accuracy according to a total core resource number of the many-core chip and the number of core resources required by each network to be quantified, with the number of the core resources required by each network to be quantified being the number of the core resources which is determined after each network to be quantified is quantified; and determining a target accuracy corresponding to each network to be quantified according to the reference accuracy and the total core resource number of the many-core chip.

Abstract: The present application provides a method and a device for controlling a storage format of an on-chip storage resource, the method for controlling the storage format of the on-chip storage resource includes: while mapping a neural network model to a many-core system, generating an on-chip storage resource of each processing core in the many-core system, and storing the on-chip storage resource into a specified file; and parsing out a storage format of the on-chip storage resource based on the specified file, obtaining occupied storage space of each processing core, and adjusting the storage format of the on-chip storage resource of each processing core based on the occupied storage space of each processing core.

Abstract: The present application provides a method and a device for controlling a storage format of an on-chip storage resource, the method for controlling the storage format of the on-chip storage resource includes: while mapping a neural network model to a many-core system, generating an on-chip storage resource of each processing core in the many-core system, and storing the on-chip storage resource into a specified file; and parsing out a storage format of the on-chip storage resource based on the specified file, obtaining occupied storage space of each processing core, and adjusting the storage format of the on-chip storage resource of each processing core based on the occupied storage space of each processing core.