Paddle Frame Ascension NPU Training Example
Step 1: Download and install the PaddleDetection kit #Paddle #Frame #Ascension #NPU #Training
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Paddle Frame ROCm Edition Training Example
Training with Haiguang CPU/DCU is the same as training with Intel CPU/Nvidia GPU. The current Paddle ROCm version is fully compatible with the API of the Paddle CUDA version, and the original GPU training commands and parameters can be used directly. #Paddle #Frame #ROCm #Edition #Training
Xtreme1 Homepage, Documentation and Downloads – Multimodal Training Data Platform – News Fast Delivery
Xtreme1 is an open source multi-modal training data platform that supports multi-format data upload, labeling and supervision. It helps algorithm engineers and scientists efficiently label data and train models. Visualize AI lifecycle results and handle machine learning all in one place with repeatability, manageability, and automation. Improve the efficiency of the entire Data-centric MLOps by
Flying paddle frame Kunlun XPU version training example
Using XPU training is the same as CPU/GPU, only need to add -o use_xpu=True, indicating that the execution is performed on the Kunlun device. #Flying #paddle #frame #Kunlun #XPU #version #training
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MegEngine is a fast, scalable, easy-to-use deep learning framework that supports automatic derivation. It has three core advantages: integrated training and inference, ultra-low hardware thresholds, and efficient inference on all platforms. It can help enterprises and developers to greatly save products from experimentation. The process from room prototype to industrial deployment can truly achieve hour-level transformation capabilities. As the core component of Brain++, Megvii’s next-generation AI productivity platform, MegEngine was officially open sourced to global developers in March 2020.
MegEngine is a fast, scalable, and easy-to-use deep learning framework with three key features: Integration of training and reasoning: the same core for training and reasoning, model structure, quantization, pre- and post-processing, dynamic shape and even derivation can be put into the model for reasoning, and the training and reasoning can be easily aligned to
Flying paddle frame Kunlun 2 generation chip training example
Training with XPU is the same as CPU/GPU, and it can be executed on Kunlun devices simply by configuring XPU. #Flying #paddle #frame #Kunlun #generation #chip #training
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