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90fc4a6c
编写于
11月 27, 2017
作者:
F
fengjiayi
提交者:
GitHub
11月 27, 2017
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Complete shrink_rnn_memory_op comments (#5935)
* Complete shrink_rnn_memory_op comments * Update
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ed516e03
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+15
-5
paddle/operators/shrink_rnn_memory_op.cc
paddle/operators/shrink_rnn_memory_op.cc
+15
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paddle/operators/shrink_rnn_memory_op.cc
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90fc4a6c
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@@ -57,11 +57,21 @@ class ShrinkRNNMemoryOpProtoMaker : public framework::OpProtoAndCheckerMaker {
ShrinkRNNMemoryOpProtoMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
""
);
AddInput
(
"RankTable"
,
""
);
AddInput
(
"I"
,
""
);
AddOutput
(
"Out"
,
""
);
AddComment
(
""
);
AddInput
(
"X"
,
"(LoDTensor) The RNN step memory to be shrinked."
);
AddInput
(
"RankTable"
,
"(LoDRankTable) The lod_rank_table of dynamic RNN."
);
AddInput
(
"I"
,
"(LoDTensor) The step index. The RNN step memory 'X' will be "
"shrinked to match the size of the input of the index'th step."
);
AddOutput
(
"Out"
,
"(LoDTensor) The shrinked RNN step memory."
);
AddComment
(
R"DOC(
In dynamic RNN, we are able to handle sequences of different lengths.
Because of the multiple lengths, the size of each step input can be
different, which may lead to a mismatching between the input of
the current step and the memory generated by the previous one. This
operator shrinks memory according to the size of the next step input,
to make sure that they can match each other.
)DOC"
);
}
};
...
...
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