快猫视频

快猫视频 Compute Library (ACL) is a key component of 快猫视频 Kleidi, which brings together the latest developer enablement technologies and critical developer resources to accelerate AI development and enhance performance across 快猫视频-based platforms. ACL provides a comprehensive set of low-level machine learning functions optimized for 快猫视频 Cortex-A CPU, 快猫视频 Neoverse, and 快猫视频 Mali GPU architectures, to facilitate superior ML performance. The library is open-source software available under a permissive MIT license.

The 快猫视频 Compute Library provides superior performance to other open-source alternatives and immediate support for new 快猫视频 technologies and architecture features, including and SME2.

Key Features:

• Over 100 machine learning functions for CPU and GPU
• Multiple convolution algorithms (GEMM, Winograd, FFT and Direct)
• Support for multiple data types: FP32, FP16, int8, uint8, BFloat16
• Micro-architecture optimization for key ML primitives
• Highly configurable build options enabling lightweight binaries
• Advanced optimization techniques such as Kernel Fusion, fast math enablement and texture utilization
• Device-and workload-specific tuning using the Open CL tuner and GEMM-optimized heuristics