Fluid distributed training benchmark #7410
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Yancey1989
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benchmark/cluster/README.md
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| - Docker Image | ||
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| We use different base Docker Image to run the benchmark on Kubernetes: | ||
| - PaddlePaddle v2: paddlepaddle/paddle:latest |
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Should use a static tag, so when latest tag updates, this benchmark still can be reproduced.
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Sure, but we don't have a static tag for fluid distributed training, how about a commit ID?
benchmark/cluster/README.md
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| - TensorFlow: tensorflow/tensorflow:latest | ||
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| - Model | ||
| A digits recognize model and MNIST dataset is used in this benchmark. |
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I think this model is too small. Maybe vgg-16 (probably around 500MB) is more closer to the real usage.
benchmark/cluster/README.md
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| - PServer count of the training job. | ||
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| - Invariant | ||
| - The number of trainers. |
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What is the trainer count we plan to try?
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Done.
And @typhoonzero reminds me that we need to measure the parallel efficiency by increasing the trainer count.
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From @typhoonzero
Maybe not, I saw https://github.com/dzhwinter/benchmark is working for the Fluid benchmark, and I knew from @dzhwinter that will be merged into the Paddle repo in this week. |
benchmark/cluster/README.md
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| - Docker Image | ||
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| We use different base Docker Image to run the benchmark on Kubernetes: | ||
| - PaddlePaddle v2: paddlepaddle/paddle:[commit-id] |
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v2 should use 0.10.0 tag, and fluid should use commit id
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Done, since 0.10.0 does not support v2 distributed training, use 0.11.0 .
Fixed #7409