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86 lines
1.3 KiB
JSON
86 lines
1.3 KiB
JSON
[
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{
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"name": "convolution",
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"category": "Layer"
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},
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{
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"name": "inner_product",
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"category": "Layer"
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},
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{
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"name": "activation",
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"category": "Activation"
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},
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{
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"name": "softmax",
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"category": "Activation"
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},
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{
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"name": "transpose",
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"category": "Transform"
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},
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{
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"name": "pool",
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"category": "Pool"
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},
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{
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"name": "instancenorm_1d",
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"category": "Normalization"
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},
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{
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"name": "batch_norm",
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"category": "Normalization"
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},
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{
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"name": "batchnorm",
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"category": "Normalization"
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},
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{
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"name": "reshape",
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"category": "Shape"
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},
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{
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"name": "dynamic_quantize",
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"category": "Quantization"
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},
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{
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"name": "dynamic_dequantize",
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"category": "Quantization"
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},
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{
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"name": "concat",
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"category": "Tensor"
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},
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{
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"name": "general_concat",
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"category": "Tensor"
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},
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{
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"name": "upsample",
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"category": "Data"
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},
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{
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"name": "relu",
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"category": "Activation"
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},
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{
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"name": "prelu",
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"category": "Activation"
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},
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{
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"name": "tanh",
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"category": "Activation"
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},
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{
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"name": "squeeze",
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"category": "Transform"
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},
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{
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"name": "rnn_arch",
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"category": "Layer"
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},
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{
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"name": "flatten",
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"category": "Shape"
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}
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] |