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Representations of neural networks as directed graphs of independent operators for flexible execution.
Distinct from Execution Graph Compositions: Specific to neural network operator graphs rather than general task-based execution graphs
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Caffe2 is a high-performance deep learning framework and C++ machine learning library. It serves as a modular system for designing, training, and executing scalable neural networks. The project functions as an inference engine and a scalable neural network engine designed to run models across distributed systems and diverse hardware. Its architecture allows for the construction of custom neural network components that can be scaled from research to production environments. The framework covers the full lifecycle of deep learning development, including modular network architecture design, mod
Represents neural networks as modular directed graphs of independent operators to enable scalable execution.