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Distributed Deep Learning with ChainerMN
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Model Parallel
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Model Parallel
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Overview
Model Parallelism
Philosophy
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Model Parallel on ChainerMN
Step 1: Communicators
Step 2: Datasets and Iterators
Step 3: Define Communications
Note: Define-by-Run and Model Parallelism
Note: Delegate Variable and Pseudo Connect
Example 1: Simple MLP
Example 2: seq2seq
Example 3: Channel-wise Parallel Convolution
Example 4: Ensemble
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