Rename Expert Chip Download
Valerie Sietsema
During the SPI Flash driver's initialization (i.e., esp_flash_init()), there is a chip detection step during which the driver iterates through a Default Chip Driver List and determine which chip driver can properly support the currently connected flash chip. The Default Chip Drivers are provided by the ESP-IDF, thus are updated in together with each ESP-IDF version. However ESP-IDF also allows users to customize their own chip drivers.
If you update to a newer ESP-IDF version that has support for more chips, you will have to manually add those new chip drivers into your custom chip driver list. Otherwise the driver will only search for the drivers in custom list you provided.
Enable the CONFIG_SPI_FLASH_OVERRIDE_CHIP_DRIVER_LIST config option. This prevents compilation and linking of the Default Chip Driver List (default_registered_chips) provided by ESP-IDF. Instead, the linker searches for the structure of the same name (default_registered_chips) that must be provided by the user.
The linker.lf is used to put every chip driver that you are going to use whilst cache is disabled into internal RAM. See Linker Script Generation for more details. Make sure this file covers all the source files that you add.
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Inferentia chips support the commonly used machine learning models such as single shot detector (SSD) and ResNet for image recognition/classification and Transformer and BERT for natural language processing and translation and many others. A list of supported operators can be found on GitHub.
Inf1 instances with multiple Inferentia chips, such as Inf1.6xlarge or Inf1.24xlarge, support a fast chip-to-chip interconnect. Using the Neuron Processing Pipeline capability, you can split your model and load it to local cache memory across multiple chips. The Neuron compiler uses ahead-of-time (AOT) compilation technique to analyze the input model and compile it to fit across the on-chip memory of single or multiple Inferentia chips. Doing so enables the Neuron Cores to have high-speed access to models and not require access to off-chip memory, keeping latency bounded while increasing the overall inference throughput.
AWS Neuron is a specialized SDK for AWS Inferentia chips that optimizes the machine learning inference performance of Inferentia chips. It consists of a compiler, run-time, and profiling tools for AWS Inferentia and is required to run inference workloads on EC2 Inf1 instances. On the other hand, Amazon SageMaker Neo is a hardware agnostic service that consists of a compiler and run-time that enables developers to train machine learning models once, and run them on many different hardware platforms.
X2iezn instances feature the fastest Intel Xeon Scalable processors in the cloud and are a great fit for workloads that need high single-threaded performance combined with a high memory-to-vCPU ratio and high speed networking. X2iezn instances have an all-core turbo frequency up to 4.5 GHz, feature a 32:1 ratio of memory to vCPU, and deliver up to 55% higher compute price performance compared to X1e instances. X2iezn instances are a great fit for electronic design automation (EDA) workloads like physical verification, static timing analysis, power signoff, and full chip gate-level simulation.
The Component Editor in its Batch Component Editing mode is also accessed if you have selected multiple components for editing from the Components panel or Explorer panel. Each component definition will have a common set of parameters and links to required domain models. Batch editing comes into its own where it makes sense to manage components as a set, such as a set of chip resistors for example.
You can also quickly create a batch of chip resistor component definitions by choosing the Edit Operations Generate Basic Chip Resistors command from the main menus or by right-clicking over the definitions region, away from any currently defined definitions, and choosing the Operations Generate Basic Chip Resistors command from the context menu.
At the highest level, the required naming template can simply be entered as the default naming scheme into the Item Naming field of the Document Options dialog. The initial index will always be zero in this case. For greater control, select the component(s) to be renamed and choose the Edit Operations Rename Component (Edit Operations Rename n Components) command from the main menus, or right-click and choose the Operations Rename Component (Operations Rename n Components) command from the context menu. You will be presented with the Component Name Template dialog. Use this dialog to specify the required Naming Scheme, and control the Initial Index (where an iterator macro has been added to the template).
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