Fluid distributed training benchmark #7410
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| # Cluster Training Benchmark | ||
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| ## Setup | ||
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| - Platform | ||
| - Kubernetes: v1.6.2 | ||
| - Linux Kernel: v3.10.0 | ||
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| - Resource | ||
| - CPU: 10 Cores per Pod | ||
| - Memory: 5GB per Pod | ||
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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 | ||
| - PaddlePaddle Fluid: paddlepaddle/paddle:latest | ||
| - 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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There was a problem hiding this comment. I think this model is too small. Maybe vgg-16 (probably around 500MB) is more closer to the real usage. |
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| ## Compare the Performance | ||
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| - Variable | ||
| - Batch Size of training data. | ||
| - PServer count of the training job. | ||
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| - Invariant | ||
| - The number of trainers. | ||
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There was a problem hiding this comment. What is the trainer count we plan to try? There was a problem hiding this comment. Done. |
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| - The resource of trainer/pserver Pod. | ||
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| - Metrics | ||
| - We use `batch/sec` to measure the training performance. | ||
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| ### BatchSize | ||
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| | BatchSize | 64 | 128 | 256 | 512 | | ||
| | -- | -- | -- | -- | -- | | ||
| | PaddlePaddle Fluid | - | - | - | - | | ||
| | PaddlePaddle v2 | - | - | - | - | | ||
| | TensorFlow | - | - | - | - | | ||
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| ### PServer Count | ||
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| | PServer Count | 10 | 20 | 40 | 80 | | ||
| | -- | -- | -- | -- | -- | | ||
| | PaddlePaddle Fluid | - | - | - | - | | ||
| | PaddlePaddle v2 | - | - | - | - | | ||
| | TensorFlow | - | - | - | - | | ||
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| ## Reproduce the benchmark | ||
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| TODO | ||
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Should use a static tag, so when
latesttag updates, this benchmark still can be reproduced.There was a problem hiding this comment.
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Sure, but we don't have a static tag for fluid distributed training, how about a commit ID?