提交 de5d9e3f 编写于 作者: T Travis CI

Deploy to GitHub Pages: a3202760

上级 6ed8727d
...@@ -2362,7 +2362,7 @@ ...@@ -2362,7 +2362,7 @@
} ] } ]
},{ },{
"type" : "shrink_rnn_memory", "type" : "shrink_rnn_memory",
"comment" : "\n In dynamic RNN, we are able to handle sequences of different lengths. \n Because of the multiple lengths, the size of each step input can be \n different, which may lead to a mismatching between the input of\n the current step and the memory generated by the previous one. This \n operator shrinks memory according to the size of the next step input, \n to make sure that they can match each other.\n ", "comment" : "\n In dynamic RNN, we are able to handle sequences of different lengths.\n Because of the multiple lengths, the size of each step input can be\n different, which may lead to a mismatching between the input of\n the current step and the memory generated by the previous one. This\n operator shrinks memory according to the size of the next step input,\n to make sure that they can match each other.\n ",
"inputs" : [ "inputs" : [
{ {
"name" : "X", "name" : "X",
......
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