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在这一背景下，AutoKernel accommodates both Triton and CUDA C++ implementations within a unified structure. Triton's Python-like syntax enables rapid compilation ideal for iterative development—the agent can adjust numerous parameters and structural elements. Triton frequently achieves 80-95% of specialized library performance for matrix operations. CUDA C++ support enables direct access to low-level primitives, tensor core instructions, optimized memory operations, and advanced caching strategies. Both implementations share identical interfaces, ensuring consistent benchmarking regardless of backend.
值得注意的是，print("\nAcquiring base CogVideoX reconstruction model...")
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