1. What Is Model Quantization Model quantization is the process of converting the weights and activations of a high-precision model (usually 32-bit floating point FP32 or 16-bit floating point FP16) into a low-precision model (such as 8-bit integer INT8). The value range of FP32 is -3.4*10^38 to 3.4*10^38, with 4 billion values.

1. A Constrained Build Environment Cannot Meet Build Requirements Tekton is a CICD engine based on a Kubernetes cluster, and it is more cloud-native than Jenkins. In plain terms, that means it is easier to develop plugins for, easier to scale, easier to observe, and more fun. Because code can only be stored on the company intranet, the build cluster can only be deployed on the office intranet.

1. Purpose of the Test Tune the parameters of the build cluster Probe the upper limit on the number of concurrent Tekton pipelines Give the optimal concurrency limit for a single cluster 2. Related Components and Machine Configuration Kubernetes version v1.21.4 Tekton version v0.24.1, kept consistent with production OpenEBS version localpv version 3.

In a non-staged build scenario, when we use a container to build, we can mount the cache directory inside the container onto the build host, run the build task, and then copy the artifacts into the runtime image to produce the application image. But with a staged build, the build image and the runtime image live in the same Dockerfile, which makes it harder to optimize the caching of third-party dependencies.

1. What Is Bloom Filter A Bloom Filter is a data structure proposed by Bloom in 1970. It maps elements (x, y, z) through a series of functions into a binary vector (a 0101 sequence), and is used to quickly determine whether an element w is in a set. As shown below (from Wikipedia):