Method, system and device for compiling AI chip and medium

A chip and picture technology, applied in systems, a method of compiling AI chips, computer equipment and readable media fields, can solve problems such as incomplete quantization function, complicated use process, and reduction of calculation steps, so as to save research and development time. , The effect of maximizing calculation speed and minimizing delay

Inactive Publication Date: 2021-01-15
SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology solves issues related to various Deep Learning framework pyrochains like LSTM or Transformers which have limitations in terms of optimizing functioning interfaces and calculating optimized calculations efficiently. It also includes integrating computationally efficient algorithms into an integrated system called Autonomic Computation Platform(ACP). Additionally, this platform allows developers to creatively select suitable computational units from existing code bases while still supporting older models. Overall, these technologies improve performance and reduce delays when implementing neural machine translation systems.

Problems solved by technology

This patented technical problem addressed in this patents relates to efficiently calculating large amounts of complex numerical values called instances during artificially intelligent computation processes like neural networks. Current methods require expensive computational resources that limit their effectiveness due to lacked training capabilities. Therefore, new ways to improve computations without requiring extensive memory usage would provide significant benefits over current techniques.

Method used

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  • Method, system and device for compiling AI chip and medium
  • Method, system and device for compiling AI chip and medium
  • Method, system and device for compiling AI chip and medium

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Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0035] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities with the same name but different parameters or parameters that are not the same, see "first" and "second" It is only for the convenience of expression, and should not be construed as a limitation on the embodiments of the present invention, which will not be described one by one in the subsequent embodiments.

[0036] Based on the above purpose, the first aspect of the embodiments of the present invention proposes an embodiment of a method for compiling an AI chip. figure 1 What is shown is a schematic diagram of an embodiment of the method for compiling an A

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Abstract

The invention discloses a method, system and device for compiling an AI chip and a storage medium, and the method comprises the steps of carrying out the quantification of a network model of the AI chip, and carrying out the precision adjustment of the quantified network model based on the weight of the network model; allocating calculation of the convolutional neural network to different MAC calculation units of the AI chip in the network model after precision adjustment so as to optimize a calculation process of the network model; and acquiring hardware architecture parameters, and generating a continuous calculation flow according to the hardware architecture parameters and the network model. According to the invention, the AI chip is quantified and the precision is adjusted, so that the performance is more perfect; the calculation of the network is optimized to the maximum extent, the calculation steps are reduced, and the utilization rate of the MAC calculation unit is maximized;the utilization rate of the AI equipment is improved by generating the calculation flow capable of enabling the calculation equipment to be always in the busy state in the network reasoning process.

Description

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Claims

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Application Information

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Owner SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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