package dnn

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Used in: Layer

• bytes data = 5

Used in: Node

• string name = 1

• string type = 2

• int32 filters = 3

• int32 a007 = 7

  pool

• int32 a008 = 8

  pool

• int32 groups = 9

• int32 a010 = 10

  conv, pool

• int32 a011 = 11

  pool

• float slope = 14

  linear

• float intercept = 15

  linear

• repeated Tensor weight = 50

• int32 operation = 72

• int32 axis = 65

  concat

• int32 a077 = 77

  conv

• float scale = 79

  resize

• int32 pad_1 = 80

  pad

• int32 pad_2 = 81

  pad

• int32 pad_3 = 82

  pad

• int32 pad_4 = 83

  pad

• int32 pad_5 = 84

  pad

• int32 a085 = 85

  resize

• int32 a090 = 90

  pool

• bool is_quantized = 101

• optional Buffer quantization = 104

• int32 stride_w = 109

• int32 stride_h = 110

• int32 kernel_w = 111

• int32 kernel_h = 112

• int32 a115 = 115

  conv

• int32 a116 = 116

  [conv]

• string name = 1

• int32 version = 2

• repeated int32 input_shape = 4

• repeated string input_name = 7

• repeated Node node = 10

• repeated Parameter input = 12

• repeated Parameter output = 13

• double a014 = 14

Used in: Model

• optional Layer layer = 1

• repeated string input = 2

• repeated string output = 3

Used in: Model

• string name = 1

• optional Shape shape = 2

Used in: Parameter

• int32 dim0 = 1

• int32 dim1 = 2

• int32 dim2 = 3

• int32 dim3 = 4

Used in: Layer

• int32 dim0 = 1

• int32 dim1 = 2

• int32 dim2 = 3

• int32 dim3 = 4

• bytes data = 5

• bytes quantized_data = 6