Adding documentation for multi-device in Tensorflow #5412
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wangkuiyi
reviewed
Nov 21, 2017
wangkuiyi
reviewed
Nov 21, 2017
| ``` | ||
| Here we are running the same operation(MatMul) on two different GPUs : '/gpu:2' and '/gpu:3', and on the CPU ('/cpu:0') the operation `tf.add_n` which adds all input tensors element-wise. This operation would collect the output of MatMulfrom the GPUs and aggregate them on the CPU. | ||
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| The [tutorial](https://www.TensorFlow.org/tutorials/deep_cnn) on CIFAR10 is a good example demonstrating how to do training with multiple GPUs on TensorFlow. |
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We might need more information about Device Contexts and how they are used to build new operators/kernels?
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That's a good suggestion. Will dig up more on this and add a section.
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Thank you for the review. I think Wiki page is a good idea, since it is meant for our educational purpose anyway. I will create a page and close this PR. |
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Closing this PR and created the Wiki page: https://github.com/PaddlePaddle/Paddle/wiki/Understanding-Multi-device-training-in-TensorFlow as per @wangkuiyi 's review. |
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Adding a document to explain how multi-device works in Tensorflow.