Abstract:
A method is provided for quantizing a neural network model performed by a processing system. The method comprises determining a scaling factor based on a distribution of weights associated with the neural network model, determining quantized weights based on the scaling factor and the weights associated with the distribution, determining a training loss of the neural network model based on the quantized weights during training of the neural network model, and determining an updated scaling factor for the neural network model based on a gradient of the training loss.
Abstract:
This application provides an image processing method, a network training method, and a related device, and relates to image processing technologies in the artificial intelligence field. The method includes: inputting a first image including a first vehicle into an image processing network to obtain a first result output by the image processing network, where the first result includes location information of a two-dimensional 2D bounding frame of the first vehicle, coordinates of a wheel of the first vehicle, and a first angle of the first vehicle, and the first angle of the first vehicle indicates an included angle between a side line of the first vehicle and a first axis of the first image; and generating location information of a three-dimensional 3D outer bounding box of the first vehicle based on the first result.
Abstract:
Embodiments of the present disclosure disclose a command execution method and apparatus, a terminal, and a server related speech recognition and natural language processing. In the command execution method, during an interaction between a terminal and a user, a server configured to execute a user command or the terminal may store slots and GUI information corresponding to the slots. When the filling information of the slots configured for the user command is missing, the server configured to execute the user command may obtain the missing filling information of the slots from the stored GUI information, to avoid multiple interactions between the user and the terminal. The interaction between the user and the terminal is made more intelligent, thus improving command execution efficiency.
Abstract:
The present application discloses a communication method and an apparatus. The method includes: obtaining, by a terminal device, information about an access technology corresponding to a first service; receiving, by the terminal device, information about an access technology and resource information corresponding to the access technology that are broadcast by a network device; determining, by the terminal device based on the obtained information about the access technology corresponding to the first service, and the information about the access technology and the resource information corresponding to the access technology that are broadcast by the network device, a first resource corresponding to the first service; and sending, by the terminal device, an access request to the network device by using the first resource.
Abstract:
The present disclosure provides a communication control method, a controller, a user equipment, and a function instance that can meet quality of service requirements of services with different requirements. The communication control method includes: obtaining, by a controller, a first slice identifier corresponding to a first service; determining, by the controller according to the first slice identifier, a first function instance corresponding to the first slice identifier; and separately sending, by the controller, to a first user equipment (UE) and the first function instance, instruction information for setting up a bearer, where the bearer is used to transmit a data packet of the first service corresponding to the first UE, the bearer corresponds to the first slice identifier, and the instruction information carries an identity of the first UE and an identity of the first function instance.
Abstract:
Embodiments provide an SDN, an SDN configuration method, an SDN-based data transmission method, and a network controller. A data packet combination function and a data packet split function are separately configured on nodes in the SDN. Therefore, when data packets of a first service are received, multiple small data packets of the first service may be combined into one large data packet. In comparison with transmission of the multiple small data packets, transmission efficiency of the SDN can be improved by transmitting the combined data packet.
Abstract:
The present invention disclosure provides a data processing method and apparatus, and a control method and apparatus, so as to resolve a technical problem that a data processing manner existing in the prior art cannot meet a requirement of a new processing procedure. A data processing apparatus may determine a specific processing action sequence for communication data according to a filter template sent by a control apparatus and a feature of the communication data. Therefore, for different communication data, the data processing apparatus can determine different processing action sequences. In addition, when a new service emerges and a new data processing procedure is required, because the data processing apparatus and the control apparatus are separate from each other, only the control apparatus needs to be adjusted and the data processing apparatus does not need to be adjusted.
Abstract:
The present disclosure relates to matrix computing methods, chips, devices, and systems. One example method includes obtaining a computing instruction. The to-be-computed matrix is disassembled to obtain a plurality of disassembled matrices. Precision of a floating point number in the disassembled matrix is lower than precision of a floating point number in the to-be-computed matrix. Computing processing is performed on the plurality of disassembled matrices based on the matrix computing type.
Abstract:
This disclosure discloses lane line detection methods and devices. In an implementation, features extracted by different layers of the neural network are fused to obtain a fused second feature map, so that the second feature map obtained through fusion processing has a plurality of layers of features. The fused second feature map has a related feature of a low-layer receptive field and a related feature of a high-layer receptive field. Afterwards, an output predicted lane line set is divided into groups, where each predicted lane line in each group has an optimal prediction interval.
Abstract:
A hydraulic adjustment unit of a brake system in a vehicle includes a first fluid reservoir (29), a second fluid reservoir (2), a first oil return pipe (110), and a second oil return pipe (120). The first oil return pipe (110) is connected to wheel cylinders (151, 152) of a vehicle, so that brake fluid in the wheel cylinders (151, 152) of the vehicle is delivered to the first fluid reservoir (29), to depressurize wheels of the vehicle. The second oil return pipe (120) is configured to connect to the wheel cylinders (151, 152) of the vehicle through oil inlet pipes (130, 140) of a brake system, so that the brake fluid in the wheel cylinders (151, 152) of the vehicle is delivered to the second fluid reservoir (2) through the oil inlet pipes (130, 140) of the brake system, to depressurize the wheels of the vehicle.