Mean 1
 Mul 164
 Pad 1
 ReadVariableOp 646
 Relu 49
 ReluGrad 49
 Reshape 2
 ResourceApplyKerasMomentum 161
 ShapeN 50
 Softmax 1
 SparseSoftmaxCrossEntropyWithLogits 1
 Square 55
 Squeeze 1
 Sub 106
 Sum 57
 Tile 1

 MaxPoolGrad 1
 Mean 1
 Mul 218
 Pad 2
 ReadVariableOp 538
 Relu 49
 ReluGrad 49
 Reshape 2
 ResourceApplyKerasMomentum 161
 Slice 1
 Softmax 1
 SparseSoftmaxCrossEntropyWithLogits 1
 Squeeze 1
 Sum 1
 Tile 1
 Transpose 1
cluster 1 size 815
 AddN 1
 AssignAddVariableOp 1
 AssignSubVariableOp 106
 Const 220
 DivNoNan 1
 Identity 1
 Mul 161
 ReadVariableOp 106
 Square 55
 Sub 106

    "Shape",
    "ShapeN",
    "Size",
    "Slice",
    "Snapshot",
    "SpaceToBatch",
    "SpaceToBatchND",
    "SpaceToDepth",
    "Split",
    "SplitV",
    "Squeeze",
    "StopGradient",
    "StridedSlice",
    "StridedSliceGrad",
    "TensorScatterAdd",
    "TensorScatterMax",
    "TensorScatterMin",
    "TensorScatterSub",
    "TensorStridedSliceUpdate",

//   shape(expand_dims(t2, 3)) ==> [2, 3, 5, 1]
//   ```
//
//   This operation requires that:
//
//   `-1-input.dims() <= dim <= input.dims()`
//
//   This operation is related to `squeeze()`, which removes dimensions of
//   size 1.
Status ExpandDims(AbstractContext* ctx, AbstractTensorHandle* const input,
                  AbstractTensorHandle* const dim,

 Fill 1
 GreaterEqual 8
 Identity 1
 Less 1
 MatMul 10
 Mul 44
 Range 1
 Rsqrt 1
 Select 19
 Shape 6
 Sigmoid 24
 Snapshot 8
 Softmax 1
 Split 8
 SplitV 6
 Square 1
 Squeeze 1
 StridedSlice 1
 Sum 2
 Tanh 17
cluster 12 size 6
 Add 1
 All 1
 Const 2
 GreaterEqual 1
 LogicalOr 1
cluster 15 size 614
 Add 22
 AddN 41
 BatchMatMulV2 2
 BiasAddGrad 8