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Imported Upstream version 1.25.0
[platform/core/ml/nnfw.git]
/
res
/
TensorFlowLiteRecipes
/
Quant_PRelu_I8_000
/
test.recipe
1
operand {
2
name: "x"
3
type: INT8
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shape {
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dim: 1
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dim: 28
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dim: 28
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dim: 64
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}
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quant {
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min: -4.600914
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max: 4.44562244
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scale: 0.0354766138
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zero_point: 2
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quantized_dimension: 0
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}
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is_variable: false
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}
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operand {
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name: "p_re_lu/add;p_re_lu/Relu;p_re_lu/Neg_1;p_re_lu/Relu_1;p_re_lu/mul"
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type: INT8
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shape {
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dim: 1
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dim: 1
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dim: 64
26
}
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filler {
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tag: "gaussian"
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arg: "0.0"
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arg: "0.1"
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}
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quant {
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min: -0.391680807
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max: 0.391578436
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scale: 0.00308410078
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zero_point: 0
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quantized_dimension: 0
38
}
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is_variable: false
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}
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operand {
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name: "Identity"
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type: INT8
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shape {
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dim: 1
46
dim: 28
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dim: 28
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dim: 64
49
}
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quant {
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min: -1.45854628
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max: 4.44562244
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scale: 0.0231536031
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zero_point: -65
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quantized_dimension: 0
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}
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is_variable: false
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}
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operation {
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type: "PRelu"
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input: "x"
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input: "p_re_lu/add;p_re_lu/Relu;p_re_lu/Neg_1;p_re_lu/Relu_1;p_re_lu/mul"
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output: "Identity"
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}
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input: "x"
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output: "Identity"