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modify the picture size
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doc/fluid/design/dist_train/prefetch_parameter.md

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@@ -16,13 +16,13 @@ Prior to reading this design, it would be useful for the reader to make themselv
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The execution of `lookup local table` is as follows:
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<img src="src/lookup_local_table.png" width="400" />
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<img src="src/lookup_local_table.png" width="700" />
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For some cases, the parameter(`weight`) may be very large, such as 10 billion features, the entire
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data could not be stored in one trainer's memory, so we need to partition this parameter and
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pre-fetch it at the beginning of each mini-batch, and we call it `lookup remote table`:
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<img src="src/lookup_remote_table.png" width="400">
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<img src="src/lookup_remote_table.png" width="700" />
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The processing flow of `lookup remote table` is as follows:
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