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公开(公告)号：US12093148B2
公开(公告)日：2024-09-17
申请号：US17547972
申请日：2021-12-10
发明人： Shaoli Liu , Xiaofu Meng , Xishan Zhang , Jiaming Guo , Di Huang , Yao Zhang , Yu Chen , Chang Liu
CPC分类号： G06F11/1476 , G06N3/047 , G06N3/08 , G06F2201/81 , G06F2201/865
摘要： The technical solution involves a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus, respectively; the storage component is used to store data; the interface apparatus is used to implement data transfer between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card is used to perform an artificial intelligence operation.
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公开(公告)号：US11990137B2
公开(公告)日：2024-05-21
申请号：US17119269
申请日：2020-12-11
发明人： Tianshi Chen , Shaoli Liu , Zai Wang , Shuai Hu
IPC分类号： G10L17/00 , G06F16/9535 , G06F18/20 , G06F18/21 , G06F18/2431 , G06F18/40 , G06N3/04 , G06N3/08 , G06Q30/0601 , G06T1/20 , G06T3/4046 , G10L15/16 , G10L17/18
CPC分类号： G10L17/00 , G06F16/9535 , G06F18/21 , G06F18/2431 , G06F18/285 , G06F18/40 , G06N3/04 , G06N3/08 , G06Q30/0631 , G06T1/20 , G06T3/4046 , G10L15/16 , G10L17/18 , G06T2200/28
摘要： Disclosed are an information processing method and a terminal device. The method comprises: acquiring first information, wherein the first information is information to be processed by a terminal device; calling an operation instruction in a calculation apparatus to calculate the first information so as to obtain second information; and outputting the second information. By means of the examples in the present disclosure, a calculation apparatus of a terminal device can be used to call an operation instruction to process first information, so as to output second information of a target desired by a user, thereby improving the information processing efficiency. The present technical solution has advantages of a fast computation speed and high efficiency.
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公开(公告)号：US11971836B2
公开(公告)日：2024-04-30
申请号：US17564366
申请日：2021-12-29
发明人： Yao Zhang , Shaoli Liu , Jun Liang , Yu Chen
IPC分类号： G06F21/85 , G06F13/40 , G06F30/327 , G06N3/04
CPC分类号： G06F13/4068 , G06N3/04
摘要： The present application relates to a network-on-chip data processing method. The method is applied to a network-on-chip processing system, the network-on-chip processing system is used for executing machine learning calculation, and the network-on-chip processing system comprises a storage device and a calculation device. The method comprises: accessing the storage device in the network-on-chip processing system by means of a first calculation device in the network-on-chip processing system and obtaining first operation data; performing an operation on the first operation data by means of the first calculation device to obtain a first operation result; and sending the first operation result to a second calculation device in the network-on-chip processing system. According to the method, operation overhead can be reduced and data read/write efficiency can be improved.
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公开(公告)号：US11544543B2
公开(公告)日：2023-01-03
申请号：US16698984
申请日：2019-11-28
发明人： Zidong Du , Shengyuan Zhou , Shaoli Liu , Tianshi Chen
摘要： A computing device, comprising: a computing module, comprising one or more computing units; and a control module, comprising a computing control unit, and used for controlling shutdown of the computing unit of the computing module according to a determining condition. Also provided is a computing method. The computing device and method have the advantages of low power consumption and high flexibility, and can be combined with the upgrading mode of software, thereby further increasing the computing speed, reducing the computing amount, and reducing the computing power consumption of an accelerator.
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公开(公告)号：US20210286688A1
公开(公告)日：2021-09-16
申请号：US16622541
申请日：2019-09-19
发明人： Shaoli Liu , Xiaofu Meng , Xishan Zhang , Jiaming Guo
摘要： The present disclosure relates to a neural network quantization parameter determination method and related products. A board card in the related products includes a memory device, an interface device, a control device, and an artificial intelligence chip, in which the artificial intelligence chip is connected with the memory device, the control device, and the interface device respectively. The memory device is configured to store data, and the interface device is configured to transmit data between the artificial intelligence chip and an external device. The control device is configured to monitor the state of the artificial intelligence chip. The board card can be used to perform an artificial intelligence computation.
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公开(公告)号：US10834415B2
公开(公告)日：2020-11-10
申请号：US16561012
申请日：2019-09-05
发明人： Tianshi Chen , Yuzhe Luo , Qi Guo , Shaoli Liu , Yunji Chen
IPC分类号： H04N19/42 , H04N19/124 , H04N19/13 , H04N19/172 , H04N19/182 , H04N19/60 , G06N3/04
摘要： Aspects of data compression/decompression for neural networks are described herein. The aspects may include a model data converter configured to convert neural network content values into pseudo video data. The neural network content values may refer to weight values and bias values of the neural network. The pseudo video data may include one or more pseudo frames. The aspects may further include a compression module configured to encode the pseudo video data into one or more neural network data packages.
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公开(公告)号：US20200097826A1
公开(公告)日：2020-03-26
申请号：US16699027
申请日：2019-11-28
发明人： Zidong Du , Xuda Zhou , Shaoli Liu , Tianshi Chen
IPC分类号： G06N3/08 , G06N3/04 , G06F13/16 , G06F1/3296 , G06F9/38
摘要： The present disclosure provides a processing device including: a coarse-grained pruning unit configured to perform coarse-grained pruning on a weight of a neural network to obtain a pruned weight, an operation unit configured to train the neural network according to the pruned weight. The coarse-grained pruning unit is specifically configured to select M weights from the weights of the neural network through a sliding window, and when the M weights meet a preset condition, all or part of the M weights may be set to 0. The processing device can reduce the memory access while reducing the amount of computation, thereby obtaining an acceleration ratio and reducing energy consumption.
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公开(公告)号：US20200097806A1
公开(公告)日：2020-03-26
申请号：US16699029
申请日：2019-11-28
发明人： Tianshi Chen , Yifan Hao , Shaoli Liu
IPC分类号： G06N3/063 , G06N3/04 , G06F12/0875 , G06N3/08
摘要： The present disclosure provides a processing device including: a coarse-grained pruning unit configured to perform coarse-grained pruning on a weight of a neural network to obtain a pruned weight, an operation unit configured to train the neural network according to the pruned weight. The coarse-grained pruning unit is specifically configured to select M weights from the weights of the neural network through a sliding window, and when the M weights meet a preset condition, all or part of the M weights may be set to 0. The processing device can reduce the memory access while reducing the amount of computation, thereby obtaining an acceleration ratio and reducing energy consumption.
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公开(公告)号：US11977968B2
公开(公告)日：2024-05-07
申请号：US16476261
申请日：2018-04-17
发明人： Tianshi Chen , Yimin Zhuang , Daofu Liu , Xiaobin Chen , Zai Wang , Shaoli Liu
摘要： The present application provides an operation device and related products. The operation device is configured to execute operations of a network model, wherein the network model includes a neural network model and/or non-neural network model; the operation device comprises an operation unit, a controller unit and a storage unit, wherein the storage unit includes a data input unit, a storage medium and a scalar data storage unit. The technical solution provided by this application has advantages of a fast calculation speed and energy-saving.
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公开(公告)号：US11775832B2
公开(公告)日：2023-10-03
申请号：US16444443
申请日：2019-06-18
发明人： Shaoli Liu , Yifan Hao , Yunji Chen , Qi Guo , Tianshi Chen
CPC分类号： G06N3/082 , G06F17/16 , G06N3/04 , G06F2207/4824
摘要： Aspects of data modification for neural networks are described herein. The aspects may include a data modifier configured to receive input data and weight values of a neural network. The data modifier may include an input data configured to modify the received input data and a weight modifier configured to modify the received weight values. The aspects may further include a computing unit configured to calculate one or more groups of output data based on the modified input data and the modifier weight values.
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