Enhence shrink_rnn_memory_op.#7176
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pkuyym merged 4 commits intoPaddlePaddle:developfrom Jan 10, 2018
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reyoung
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Jan 4, 2018
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| // should consider multiple levels | ||
| size_t height = dst_num_rows; | ||
| auto lod_level = rank_table.level(); |
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rank_table.level() is not related to ShrinkMemory.
Also, lod_level must always be zero? Since you cannot shrink the fine level of LoD without shrink the coarse level of LoD.
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reyoung
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Jan 4, 2018
| framework::AppendLoD(&remain, lod_offset.first); | ||
| for (size_t j = 0; j < remain.size(); ++j) { | ||
| out_lod->emplace_back(remain[j]); | ||
| } |
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This logic is too complex. Since we just shrink the first level of LoD, we can just drop the last N element of the LoD.
pkuyym
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Jan 4, 2018
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Do shrink for the first level LoD.
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| // should consider multiple levels | ||
| size_t height = dst_num_rows; | ||
| auto lod_level = rank_table.level(); |
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| framework::AppendLoD(&remain, lod_offset.first); | ||
| for (size_t j = 0; j < remain.size(); ++j) { | ||
| out_lod->emplace_back(remain[j]); | ||
| } |
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Resolves #7173