Refactorization overview #3970
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Refactorization overview #3970
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jacquesqiao
reviewed
Sep 8, 2017
| 1. create operators and set attributes, | ||
| 1. validate attribute values, | ||
| 1. inference the type and the shape of variables, | ||
| 1. plan for memory-reuse for variables, |
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the order should be
1. generate backward and optimization part of the Graph
1. plan for memory-reuse for variables
memory-reuse should be done after the graph is completed.
jacquesqiao
reviewed
Sep 8, 2017
| - when graph executes, a Block with `BlockDesc` passed in creates `Op` and `Var` then `Run` | ||
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| # Milestone |
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I think Milestone should be in another pr or issue because other parts of this PR is a summary of the refactorized Paddle. They are knowledge but not plan.
dzhwinter
reviewed
Sep 11, 2017
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| 1. Users write Python programs to describe the graphs and run it (locally or remotely). | ||
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| 1. A graph is composed of *variabels* and *operators*. |
| - accept imperfection, concentrated on solving the specific problem at the right price. | ||
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| # Control the migration quality |
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- Milestone* and Control the migration quality is not part of refactorization overview structure, it's better to move them into the roadmap or sth like that.
jacquesqiao
approved these changes
Sep 19, 2017
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