提交 f3473b27 编写于 作者: T Travis CI

Deploy to GitHub Pages: 388aa51c

上级 c43fed25
...@@ -1612,7 +1612,7 @@ ...@@ -1612,7 +1612,7 @@
"attrs" : [ ] "attrs" : [ ]
},{ },{
"type" : "reduce_min", "type" : "reduce_min",
"comment" : "\n{ReduceOp} Operator.\n\nThis operator computes the min of input tensor along the given dimension. \nThe result tensor has 1 fewer dimension than the input unless keep_dim is true.\nIf reduce_all is true, just reduce along all dimensions and output a scalar.\n\n", "comment" : "\nReduceMin Operator.\n\nThis operator computes the min of input tensor along the given dimension. \nThe result tensor has 1 fewer dimension than the input unless keep_dim is true.\nIf reduce_all is true, just reduce along all dimensions and output a scalar.\n\n",
"inputs" : [ "inputs" : [
{ {
"name" : "X", "name" : "X",
...@@ -1646,7 +1646,7 @@ ...@@ -1646,7 +1646,7 @@
} ] } ]
},{ },{
"type" : "reduce_max", "type" : "reduce_max",
"comment" : "\n{ReduceOp} Operator.\n\nThis operator computes the max of input tensor along the given dimension. \nThe result tensor has 1 fewer dimension than the input unless keep_dim is true.\nIf reduce_all is true, just reduce along all dimensions and output a scalar.\n\n", "comment" : "\nReduceMax Operator.\n\nThis operator computes the max of input tensor along the given dimension. \nThe result tensor has 1 fewer dimension than the input unless keep_dim is true.\nIf reduce_all is true, just reduce along all dimensions and output a scalar.\n\n",
"inputs" : [ "inputs" : [
{ {
"name" : "X", "name" : "X",
...@@ -1680,7 +1680,7 @@ ...@@ -1680,7 +1680,7 @@
} ] } ]
},{ },{
"type" : "reduce_mean", "type" : "reduce_mean",
"comment" : "\n{ReduceOp} Operator.\n\nThis operator computes the mean of input tensor along the given dimension. \nThe result tensor has 1 fewer dimension than the input unless keep_dim is true.\nIf reduce_all is true, just reduce along all dimensions and output a scalar.\n\n", "comment" : "\nReduceMean Operator.\n\nThis operator computes the mean of input tensor along the given dimension. \nThe result tensor has 1 fewer dimension than the input unless keep_dim is true.\nIf reduce_all is true, just reduce along all dimensions and output a scalar.\n\n",
"inputs" : [ "inputs" : [
{ {
"name" : "X", "name" : "X",
...@@ -2889,7 +2889,7 @@ ...@@ -2889,7 +2889,7 @@
} ] } ]
},{ },{
"type" : "reduce_sum", "type" : "reduce_sum",
"comment" : "\n{ReduceOp} Operator.\n\nThis operator computes the sum of input tensor along the given dimension. \nThe result tensor has 1 fewer dimension than the input unless keep_dim is true.\nIf reduce_all is true, just reduce along all dimensions and output a scalar.\n\n", "comment" : "\nReduceSum Operator.\n\nThis operator computes the sum of input tensor along the given dimension. \nThe result tensor has 1 fewer dimension than the input unless keep_dim is true.\nIf reduce_all is true, just reduce along all dimensions and output a scalar.\n\n",
"inputs" : [ "inputs" : [
{ {
"name" : "X", "name" : "X",
......
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