From b3945f9b2c2ffb347dce7872d187016926cc39ad Mon Sep 17 00:00:00 2001 From: dangqingqing Date: Wed, 30 Nov 2016 15:53:52 +0800 Subject: [PATCH] follow LuoTao's commits --- benchmark/README.md | 4 ++-- benchmark/figs/alexnet-4gpu.png | Bin 81990 -> 83367 bytes benchmark/figs/googlenet-4gpu.png | Bin 82569 -> 83526 bytes 3 files changed, 2 insertions(+), 2 deletions(-) diff --git a/benchmark/README.md b/benchmark/README.md index 29c7155a0f3..367013f0457 100644 --- a/benchmark/README.md +++ b/benchmark/README.md @@ -61,7 +61,7 @@ All platforms use cuDNN-v5.1. We see that caffe is slower in this experiment, be **Notation** -All the experiments in caffe use `caffe time` to execute, which does not include the time of parameter updating. While PaddlePaddle and TensorFlow contains this time. But, compared with the total time, the time of parameter updating is relatively little on single machine. +All the single-GPU experiments in caffe use `caffe time` to calculate elapsed time, which does not include parameter updating time. However, both PaddlePaddle and TensorFlow experiments contain the parameter updating time. As compared with the total time, this part is relatively little on single machine, we can ignore it. In Tensorflow, they implement algorithm searching method instead of using the algorithm searching interface in cuDNN. @@ -102,7 +102,7 @@ We use lstm network for text classfication to test benchmark. ### Dataset - [IMDB](http://www.iro.umontreal.ca/~lisa/deep/data/imdb.pkl) -- Sequence legth is 100. In fact, PaddlePaddle supports training with variable-length sequence, but TensorFlow needs to pad, we also pad sequence length to 100 in PaddlePaddle in order to compare. +- Sequence length is 100. In fact, PaddlePaddle supports training with variable-length sequence, but TensorFlow needs to pad. Thus, we also pad sequence length to 100 in PaddlePaddle in order to compare. - Dictionary size=30000 - Peephole connection is used in `lstmemory` by default in PaddlePaddle. 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