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Imported Upstream version 1.18.0
[platform/core/ml/nnfw.git]
/
res
/
TensorFlowLiteRecipes
/
PadV2_001
/
test.recipe
1
operand {
2
name: "ifm"
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type: FLOAT32
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shape { dim: 1 dim: 3 dim: 3 dim: 2 }
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}
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operand {
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name: "relu"
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type: FLOAT32
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shape { dim: 1 dim: 3 dim: 3 dim: 2 }
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}
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operand {
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name: "padding"
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type: INT32
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shape { dim: 4 dim: 2 }
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filler {
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tag: "explicit"
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arg: "0" arg: "0"
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arg: "1" arg: "1"
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arg: "1" arg: "1"
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arg: "0" arg: "0"
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}
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}
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operand {
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name: "constant_values"
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type: FLOAT32
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shape { dim: 1 }
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filler {
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tag: "explicit"
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arg: "-100.00"
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}
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}
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operand {
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name: "padv2"
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type: FLOAT32
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shape { dim: 1 dim: 5 dim: 5 dim: 2 }
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}
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operand {
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name: "ofm"
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type: FLOAT32
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shape { dim: 1 dim: 3 dim: 3 dim: 2 }
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}
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operation {
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type: "ReLU"
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input: "ifm"
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output: "relu"
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}
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operation {
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type: "PadV2"
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input: "relu"
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input: "padding"
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input: "constant_values"
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output: "padv2"
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}
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operation {
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type: "MaxPool2D"
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maxpool2d_options {
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padding: VALID
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stride_w: 1
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stride_h: 1
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filter_height: 3
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filter_width: 3
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}
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input: "padv2"
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output: "ofm"
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}
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input: "ifm"
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output: "ofm"