No, yesterday TensorFlow team released benchmarks [1], as part of these benchmarks they simultaneously published tips for ensuring high performance [2] which th

No, yesterday TensorFlow team released benchmarks [1], as part of these benchmarks they simultaneously published tips for ensuring high performance [2] which they used in benchmarks. The reason for publishing the second link is that due to copying memory between python and C++ (when using feed_dict) TensorFlow can appear to be slower than competing frameworks, hence they felt a need to point out methods used to ensure high performance by reducing I/O latency. Looking at [2] without having context of [1] can be confusing. But no one is trying to pass this off as "innovation". [1] https://www.tensorflow.org/performance/benchmarks https://www.tensorflow.org/performance/benchmarks [2] https://www.tensorflow.org/performance/performance_models https://www.tensorflow.org/performance/performance_models