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a6482258
编写于
1月 04, 2021
作者:
G
GaoWei8
提交者:
GitHub
1月 04, 2021
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电子邮件补丁
差异文件
add REGISTER_OP_VERSION for LSTM (#30038)
上级
6e93fb92
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1
隐藏空白更改
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Showing
1 changed file
with
24 addition
and
2 deletion
+24
-2
paddle/fluid/operators/cudnn_lstm_op.cc
paddle/fluid/operators/cudnn_lstm_op.cc
+24
-2
未找到文件。
paddle/fluid/operators/cudnn_lstm_op.cc
浏览文件 @
a6482258
...
...
@@ -309,7 +309,9 @@ REGISTER_OP_CPU_KERNEL(cudnn_lstm_grad, ops::NotImpleKernel<float>);
REGISTER_OP_VERSION
(
cudnn_lstm
)
.
AddCheckpoint
(
R"ROC(
Upgrade cudnn_lstm add a new input [WeightList] and modify input [W] to dispensable.)ROC"
,
Upgrade cudnn_lstm add new inputs [WeightList, SequenceLength], modify the input [W] to dispensable, delete the input [Cache].
Upgrade cudnn_lstm add new outputs [StateOut, Reserve, LastC, LastH], delete output [last_c, last_h].
Upgrade cudnn_lstm modify the attr [seed] default value to 0, delete the attr [max_len].)ROC"
,
paddle
::
framework
::
compatible
::
OpVersionDesc
()
.
NewInput
(
"WeightList"
,
...
...
@@ -318,6 +320,26 @@ REGISTER_OP_VERSION(cudnn_lstm)
.
NewInput
(
"SequenceLength"
,
"When the input data is padding, set this parameter. "
"SequenceLength is dispensable."
)
.
ModifyInput
(
"W"
,
"The new LSTM use WeightList instead of W. The W "
"concatenate all the weight to one Tensor."
)
.
DeleteInput
(
"Cache"
,
"The new LSTM use the Reserve Output to store the "
"data of dropout."
)
.
NewOutput
(
"StateOut"
,
"Store the global drop state when training"
)
.
NewOutput
(
"Reserve"
,
"A temporary output Tensor to store the reserve_data"
));
"A temporary output Tensor to store the reserve_data"
)
.
DeleteOutput
(
"last_c"
,
"Modify the name of the output from 'last_c' to 'LastC'."
)
.
NewOutput
(
"LastC"
,
"The cell state of the last step."
)
.
DeleteOutput
(
"last_h"
,
"Modify the name of the output from 'last_h' to 'LastH'."
)
.
NewOutput
(
"LastH"
,
"The hidden state of the last step."
)
.
ModifyAttr
(
"seed"
,
"Set the default value of seed from '-1' to '0'."
,
0
)
.
DeleteAttr
(
"max_len"
,
"The length of Inputs is achieved form the input data "
"which is difficult to know the information in "
"advance."
));
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