9.7k citations · 9.8k across the 4 of their papers we have counts for
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cs.DC2019★ 6 cited
Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching And Beyond
Ashish Agarwal, Igor Ganichev
We propose a static loop vectorization optimization on top of high level dataflow IR used by frameworks like TensorFlow. A new statically vectorized parallel-for abstraction is pro…
cs.PL2019★ 52 cited
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning
Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos +8
TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production. Tensor…