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| author | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-09-04 02:37:04 -0700 |
|---|---|---|
| committer | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-09-04 02:37:04 -0700 |
| commit | d46f3cd65255f088c3ac35654427549509d71b05 (patch) | |
| tree | 8138beaa439c4549b03cc2497715a880406aca0b /examples | |
| parent | f7baf2b486c3ff196f408c61790bd1b235208e98 (diff) | |
| download | caffeonacl-d46f3cd65255f088c3ac35654427549509d71b05.tar.gz caffeonacl-d46f3cd65255f088c3ac35654427549509d71b05.tar.bz2 caffeonacl-d46f3cd65255f088c3ac35654427549509d71b05.zip | |
[example] update ImageNet timing for K40
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/imagenet/readme.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/examples/imagenet/readme.md b/examples/imagenet/readme.md index 39a7fad8..41384f94 100644 --- a/examples/imagenet/readme.md +++ b/examples/imagenet/readme.md @@ -82,7 +82,7 @@ Ready? Let's train. Sit back and enjoy! -On my K20 machine, every 20 iterations take about 36 seconds to run, so effectively about 7 ms per image for the full forward-backward pass. About 2.5 ms of this is on forward, and the rest is backward. If you are interested in dissecting the computation time, you can run +On a K40 machine, every 20 iterations take about 26.5 seconds to run (while a on a K20 this takes 36 seconds), so effectively about 5.2 ms per image for the full forward-backward pass. About 2 ms of this is on forward, and the rest is backward. If you are interested in dissecting the computation time, you can run ./build/tools/caffe time --model=models/bvlc_reference_caffenet/train_val.prototxt |