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109 lines
1.7 KiB
JSON
109 lines
1.7 KiB
JSON
[
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{
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"name": "batchnorm",
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"category": "Normalization",
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"inputs": [
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{ "name": "input" },
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{ "name": "scale" },
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{ "name": "bias" }
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]
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},
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{
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"name": "concat",
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"category": "Tensor",
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"inputs": [
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{ "name": "input", "option": "variadic" }
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]
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},
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{
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"name": "const_v2",
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"category": "Constant"
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},
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{
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"name": "conv",
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"category": "Layer",
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"inputs": [
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{ "name": "input" },
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{ "name": "weights" },
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{ "name": "biases" }
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]
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},
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{
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"name": "deconv",
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"category": "Layer",
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"inputs": [
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{ "name": "input" },
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{ "name": "weights" },
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{ "name": "biases" }
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]
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},
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{
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"name": "depthdeconv",
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"category": "Layer",
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"inputs": [
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{ "name": "input" },
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{ "name": "weights" },
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{ "name": "biases" }
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]
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},
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{
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"name": "eltwise",
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"inputs": [
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{ "name": "input", "option": "variadic" }
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]
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},
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{
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"name": "linear",
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"category": "Activation",
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"inputs": [
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{ "name": "input" }
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]
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},
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{
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"name": "pad",
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"category": "Shape"
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},
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{
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"name": "pool",
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"category": "Pool",
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"inputs": [
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{ "name": "input" }
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]
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},
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{
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"name": "prelu",
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"category": "Activation",
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"inputs": [
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{ "name": "input" },
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{ "name": "slope" }
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]
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},
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{
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"name": "relu",
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"category": "Activation",
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"inputs": [
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{ "name": "input" }
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]
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},
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{
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"name": "relu6",
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"category": "Activation",
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"inputs": [
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{ "name": "input" }
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]
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},
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{
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"name": "sigmoid",
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"category": "Activation",
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"inputs": [
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{ "name": "input" }
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]
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},
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{
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"name": "softmax",
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"category": "Activation",
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"inputs": [
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{ "name": "input" }
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]
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}
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] |