Skip to content

update alexnet training data #6878

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
luotao1 merged 2 commits into from
Dec 25, 2017
Merged

update alexnet training data #6878

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
3a09ebe
update alexnet training data
tensor-tang Dec 22, 2017
e9ee6fe
update alexnet training data
luotao1 Dec 25, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 11 additions & 0 deletions benchmark/IntelOptimizedPaddle.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@ On each machine, we will test and compare the performance of training on single

#### Training
Test on batch size 64, 128, 256 on Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
Pay attetion that the speed below includes forward, backward and parameter update time. So we can not directly compare the data with the benchmark of caffe `time` [command](https://github.com/PaddlePaddle/Paddle/blob/develop/benchmark/caffe/image/run.sh#L9), which only contain forward and backward. The updating time of parameter would become very heavy when the weight size are large, especially on alexnet.

Input image size - 3 * 224 * 224, Time: images/second

Expand Down Expand Up @@ -55,6 +56,16 @@ Input image size - 3 * 224 * 224, Time: images/second

<img src="figs/googlenet-cpu-train.png" width="500">

- Alexnet

| BatchSize | 64 | 128 | 256 |
|--------------|--------| ------ | -------|
| OpenBLAS | 2.13 | 2.45 | 2.68 |
| MKLML | 66.37 | 105.60 | 144.04 |
| MKL-DNN | 399.00 | 498.94 | 626.53 |

chart TBD

#### Inference
Test on batch size 1, 2, 4, 8, 16 on Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
- VGG-19
Expand Down