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# Mock of the Epilogue, using ReLU instead of Softmax
node {
name: "placeholder"
op: "Placeholder"
attr {
key: "dtype"
value { type: DT_FLOAT }
}
attr {
key: "shape"
value {
shape {
dim { size: 2 }
dim { size: 1 }
dim { size: 1 }
dim { size: 3 }
}
}
}
}
node {
name: "squeeze"
op: "Squeeze"
input: "placeholder"
attr {
key: "T"
value { type: DT_FLOAT }
}
attr {
key: "squeeze_dims"
value {
list { i: 1 i: 2 }
}
}
}
node {
name: "Reshape/shape"
op: "Const"
attr {
key: "dtype"
value { type: DT_INT32 }
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim { size: 2 }
}
int_val: -1
int_val: 3
}
}
}
}
node {
name: "reshape_1"
op: "Reshape"
input: "squeeze"
input: "Reshape/shape"
attr {
key: "T"
value { type: DT_FLOAT }
}
attr {
key: "Tshape"
value { type: DT_INT32 }
}
}
node {
name: "relu"
op: "Relu"
input: "reshape_1"
attr {
key: "T"
value { type: DT_FLOAT }
}
}
node {
name: "shape"
op: "Shape"
input: "squeeze"
attr {
key: "T"
value { type: DT_FLOAT }
}
attr {
key: "out_type"
value { type: DT_INT32 }
}
}
node {
name: "reshape_2"
op: "Reshape"
input: "relu"
input: "shape"
attr {
key: "T"
value { type: DT_FLOAT }
}
attr {
key: "Tshape"
value { type: DT_INT32 }
}
}
|
