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Machine Learning Compilation: Expectation vs Reality

A diagram comparing the expectation of a universal open-source ML compiler supporting many frameworks and hardware, versus the reality of fragmented tools like PyTorch, TVM, and ONNX Runtime.

This image illustrates the disparity between the idealized vision of a universal open-source ML compiler and the fragmented reality of the current machine learning ecosystem, highlighting the complexity of integrating frameworks like PyTorch with hardware accelerators.

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