add sparse update section in fluid dist doc #8997
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typhoonzero
reviewed
Mar 12, 2018
| @@ -59,6 +59,13 @@ After converting: | |||
| queue. It will block until the queue has the required number of | |||
| tensors. | |||
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| ### Sparse Update | |||
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| For an embedding layer, the gradient maybe be very sparse(upper 90% is zero) for each mini-batch. | |||
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There should be a space between sparse and (.
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the gradient maybe be very sparse => the gradient may have many rows containing only 0
| ### Sparse Update | ||
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| For an embedding layer, the gradient maybe be very sparse(upper 90% is zero) for each mini-batch. | ||
| Fluid use [SelectedRows](../selected_rows.md) to support the sparse variable. Distributed training support `Sparse Update`, |
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the sparse variable => sparse variables.
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Distributed training support Sparse Update, which sends a SelectedRows variable to the parameter server to run parameter updates.
typhoonzero
reviewed
Mar 12, 2018
| It would save a lot of bandwidth and make the distributed training job have better performance. | ||
| For embedding layers, the gradient may have many rows containing only 0 when training, | ||
| if the gradient use a dense tensor to do parameter optimization, | ||
| it could spend unnessesary memory, slow down the calculations and waste |
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unnessesary => unnecessary
helinwang
reviewed
Mar 12, 2018
| ### Sparse Update | ||
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| For embedding layers, the gradient may have many rows containing only 0 when training, | ||
| if the gradient use a dense tensor to do parameter optimization, |
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Fixed #8996