AVR Studio 4.19 （build 730） 👹
AVR Studio 4.19 （build 730）
the software you develop on the studio build machine will reside in the build container. these will be volumes that have been created on the underlying host drive. a volume is a block device that extends up to the maximum size allowed by the partition table of the underlying disk. depending on the disk partitioning, you may have several partitions.
each volume can contain a file system type called the host file system. depending on the underlying host os, you may have several file systems including ext 2, 4, or bsd. a volume can also have a file system type called a remote file system. this type of file system is used to connect to a remote network share.
the following examples show a typical amazon sagemaker cli usage. the first example generates a container image from a python script, and then amazon sagemaker studio can use the containerized python script as a custom inference model. you can use this model as a docker image to quickly train a new custom model.
the fifth example creates a container image from a script that includes two libraries. using the built-in aws cli, you can conveniently upload the container image to amazon ecr. you can use the image as a docker image to quickly train new custom models.
14 12. click load info button. you can get the erase info of selfrog. loading from the pc selfrog uses atmel’s standard stk500 v2 protocol to communicate with pc. it is compatible with a range of tools, including avr studio, codevision, bascom-avr, avrdude, etc. we recommend to use avr studio 4.19（build730） as it supports many devices, lightweight and even works well in windows 8 and 64bit. selfrog’s internal memories can be erased, flashed with a provided hex file, fuses and lock bits can be written and/or verified. for the detailed information please refer to the avr studio documentation.
AVR Studio is a professional, versatile and powerful AVR development tool. AVR Studio provides an intuitive GUI and full support for AVR-GPIO and AVR-Serial. AVR Studio is a robust and complete development environment, but as always, we are also dedicated to listening to our customers’ feedback and improving our product. In this version, we have received a lot of useful customer requests, and therefore many new features and options have been added to AVR Studio. Please let us know what you think, and we will continue to make improvements in the next releases of AVR Studio.
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For the standard setup, there is a lot of configuration that needs to be done before a conversation can be generated. We have also created some configuration tools to help automate this process （e.g. avrstudio-defaults.json）. Most dialog flows can be generated using these tools in conjunction with various script code （e.g. avrstudio-conversation.js） to create the additional content to make the story complete.