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Idée - Deep Learning Compiler
oneDNN Graph Compiler: Hybrid Approach for High-Performance Deep Learning Compilation
oneDNN Graph Compiler nutzt eine hybride Methode für die Hochleistungscodegenerierung des tiefen neuronalen Netzwerkgraphen.
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
oneDNN Graph Compiler employs a hybrid approach combining compiler optimization and expert-tuned kernels to generate high-performance code for deep neural network graphs.
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
oneDNN Graph Compiler employs a hybrid approach combining compiler optimization and expert-tuned kernels to generate high-performance code for deep neural network graphs.
oneDNN Graph Compiler: High-Performance Deep Learning Compilation Approach
The author presents oneDNN Graph Compiler, utilizing a hybrid approach for high-performance code generation of deep neural network graphs. The focus is on addressing unique optimization challenges in the deep learning domain.
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