blob: 8dc1ba524e517a5db09c98b96a423febc7617fc8 [file] [log] [blame]
digraph "mxnet::TBlob"
{
// LATEX_PDF_SIZE
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node [fontname="Helvetica",fontsize="10",shape=record];
Node1 [label="{mxnet::TBlob\n|+ dptr_\l+ type_flag_\l|+ TBlob()\l+ TBlob()\l+ TBlob()\l+ TBlob()\l+ TBlob()\l+ TBlob()\l+ operator=()\l+ operator=()\l+ CheckContiguous()\l+ reshape()\land 14 more...\l}",height=0.2,width=0.4,color="black", fillcolor="grey75", style="filled", fontcolor="black",tooltip="tensor blob class that can be used to hold tensor of any dimension, any device and any data type,..."];
Node2 -> Node1 [color="grey25",fontsize="10",style="solid",label=" +shape_" ,arrowhead="odiamond",fontname="Helvetica"];
Node2 [label="{mxnet::TShape\n||+ TShape()\l+ TShape()\l+ TShape()\l+ TShape()\l+ TShape()\l+ TShape()\l+ TShape()\l+ operator=()\l+ operator=()\l+ Size()\l+ ProdShape()\l+ data()\l+ data()\l}",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$classmxnet_1_1TShape.html",tooltip="A Shape class that is used to represent shape of each tensor."];
Node3 -> Node2 [dir="back",color="midnightblue",fontsize="10",style="solid",arrowtail="onormal",fontname="Helvetica"];
Node3 [label="{mxnet::Tuple\< dim_t \>\n|# ndim_\l# num_heap_allocated_\l# data_stack_\l# data_heap_\l# kStackCache\l|+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ ~Tuple()\l+ assign()\land 17 more...\l# SetDim()\l}",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$classmxnet_1_1Tuple.html",tooltip=" "];
}