KellenSunderland commented on a change in pull request #14860: Update TRT tutorial with new APIs URL: https://github.com/apache/incubator-mxnet/pull/14860#discussion_r319642470
########## File path: docs/tutorials/tensorrt/inference_with_trt.md ########## @@ -118,7 +108,7 @@ for i in range(0, 10000): end = time.time() print(time.process_time() - start) ``` -We run timing with a warmup once more, and on the same machine, run in **18.99s**. A 1.8x speed improvement! Speed improvements when using libraries like TensorRT can come from a variety of optimizations, but in this case our speedups are coming from a technique known as [operator fusion](http://dmlc.ml/2016/11/21/fusion-and-runtime-compilation-for-nnvm-and-tinyflow.html). +We run timing with a warmup once more, and on the same machine, run in **9.83s**. A 1.75x speed improvement! Speed improvements when using libraries like TensorRT can come from a variety of optimizations, but in this case our speedups are coming from a technique known as [operator fusion](http://dmlc.ml/2016/11/21/fusion-and-runtime-compilation-for-nnvm-and-tinyflow.html). Review comment: Darn, that was a good guide. Will update. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
