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Imported Upstream version 1.25.0
[platform/core/ml/nnfw.git]
/
res
/
TensorFlowLiteRecipes
/
Quant_TransposeConv_001
/
test.recipe
1
operand {
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name: "out_shape"
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type: INT32
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shape { dim: 4 }
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filler {
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tag: "explicit"
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arg: "1" arg: "4" arg: "4" arg: "3"
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}
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}
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operand {
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name: "bias"
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type: FLOAT32
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shape { dim: 3 }
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filler {
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tag: "explicit"
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arg: "1" arg: "2" arg: "3"
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}
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}
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operand {
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name: "ker"
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type: FLOAT32
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shape { dim: 3 dim: 1 dim: 1 dim: 3 }
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filler {
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tag: "gaussian"
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arg: "0.0"
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arg: "1.0"
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}
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}
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operand {
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name: "ifm"
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type: FLOAT32
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shape { dim: 1 dim: 4 dim: 4 dim: 3 }
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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: 4 dim: 4 dim: 3 }
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}
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operation {
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type: "TransposeConv"
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transpose_conv_options {
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padding: SAME
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stride_w: 1
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stride_h: 1
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activation: NONE
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}
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input: "out_shape"
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input: "ker"
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input: "ifm"
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input: "bias"
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output: "ofm"
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}
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input: "ifm"
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output: "ofm"