package nnforge.protobuf

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Used in: Layer

• optional uint32 top_n = 1

Used in: Layer

• optional float alpha = 1

Used in: Layer

• optional bool adjust_for_zero_init = 1

• repeated AffineGridGeneratorParam.AffineGridGeneratorDimensionParam dimension_param = 2

• optional float weight_scale = 3

Used in: AffineGridGeneratorParam

• required uint32 output_size = 1

Used in: Layer

• repeated AverageSubsamplingParam.AverageSubsamplingDimensionParam dimension_param = 1

• optional AverageSubsamplingParam.AverageSubsamplingFeatureMapParam feature_map_param = 2

• optional AverageSubsamplingParam.AverageSubsamplingEntryParam entry_param = 3

• optional float alpha = 4

Used in: AverageSubsamplingParam

• optional uint32 subsampling_size = 1

• optional uint32 subsampled_size = 2

Used in: AverageSubsamplingParam

• required uint32 subsampling_size = 1

Used in: AverageSubsamplingParam

• optional uint32 subsampling_size = 1

• optional uint32 subsampled_size = 2

Used in: Layer

• required uint32 feature_map_count = 1

• optional float epsilon = 2

Used in: Layer

• optional CDF2PDFParam.CDF2PDFFeatureMapParam feature_map_param = 1

• optional float clamp_min = 2

• optional float clamp_max = 3

Used in: CDF2PDFParam

• required uint32 segment_length = 1

Used in: Layer

• optional CDFMaxParam.CDFMaxEntryParam entry_param = 1

• optional CDFMaxParam.MaxFunction function = 2

Used in: CDFMaxParam

• required uint32 subsampling_size = 1

Used in: CDFMaxParam

• MAX = 0

• MIN = 1

Used in: Layer

• required uint32 input_feature_map_count = 1

• required uint32 output_feature_map_count = 2

• repeated ConvolutionalParam.ConvolutionalDimensionParam dimension_param = 3

• optional bool bias = 4

Used in: ConvolutionalParam

• required uint32 kernel_size = 1

• optional uint32 left_padding = 2

• optional uint32 right_padding = 3

• optional uint32 stride = 4

• optional uint32 dilation = 5

Used in: Layer

• optional float scale = 1

Used in: Layer

• repeated sint32 int_param = 1

• repeated float float_param = 2

• repeated CustomParam.CustomDimensionParam dimension_param = 3

Used in: CustomParam

• repeated sint32 int_param = 1

• repeated float float_param = 2

• repeated DataNormalizer.FeatureMapParam feature_map_param = 1

Used in: DataNormalizer

• required float mul = 1

• required float add = 2

Used in: Layer

• optional float dropout_rate = 1

• optional bool per_feature_map = 2

Used in: Layer

• optional uint32 padding = 1

Used in: Layer

• optional float scale = 1

Used in: Layer

• required uint32 feature_map_count = 1

• repeated uint32 feature_map_affected = 2

• repeated LCSParam.LCSDimensionParam dimension_param = 3

Used in: LCSParam

• required uint32 kernel_size = 1

Used in: Layer

• optional float n = 1

• optional float scale = 2

Used in: NetworkSchema

• required string type = 1

• required string name = 2

• repeated string input_layer_name = 14

• optional ConvolutionalParam convolution_param = 3

• optional AverageSubsamplingParam average_subsampling_param = 4

• optional SparseConvolutionalParam sparse_convolution_param = 5

• optional DropoutParam dropout_param = 6

• optional LCSParam lcs_param = 7

• optional MaxSubsamplingParam max_subsampling_param = 8

• optional MaxoutParam maxout_param = 9

• optional PReLUParam prelu_param = 10

• optional RGBToYUVConvertParam rgb_to_yuv_convert_param = 11

• optional TanHParam tanh_param = 12

• optional UnTileParam untile_param = 13

• optional AccuracyParam accuracy_param = 16

• optional NegativeLogLikelihoodParam negative_log_likelihood_param = 17

• optional CrossEntropyParam cross_entropy_param = 18

• optional GradientModifierParam gradient_modifier_param = 19

• optional ReshapeParam reshape_param = 20

• optional LErrorParam lerror_param = 21

• optional CDFMaxParam cdf_max_param = 22

• optional PrefixSumParam prefix_sum_param = 23

• optional UpsamplingParam upsampling_param = 24

• optional CDF2PDFParam cdf_to_pdf_param = 25

• optional EntryConvolutionParam entry_convolution_param = 26

• optional AddParam add_param = 27

• optional BatchNormParam batch_norm_param = 28

• optional AffineGridGeneratorParam affine_grid_generator_param = 29

• optional ReLUParam relu_param = 30

• optional CustomParam custom_param = 1000

Used in: Layer

• repeated MaxSubsamplingParam.MaxSubsamplingDimensionParam dimension_param = 1

• optional bool tiling = 2

• optional MaxSubsamplingParam.MaxSubsamplingFeatureMapParam feature_map_param = 3

• optional MaxSubsamplingParam.MaxSubsamplingEntryParam entry_param = 4

• optional MaxSubsamplingParam.MaxFunction function = 5

Used in: MaxSubsamplingParam

• MAX = 0

• MIN = 1

Used in: MaxSubsamplingParam

• required uint32 subsampling_size = 1

• optional bool round_up = 2

• optional uint32 stride = 3

Used in: MaxSubsamplingParam

• required uint32 subsampling_size = 1

Used in: MaxSubsamplingParam

• required uint32 subsampling_size = 1

Used in: Layer

• required uint32 feature_map_subsampling_size = 1

Used in: Layer

• optional float scale = 1

• optional string name = 1

• repeated Layer layer = 2

Used in: Layer

• required uint32 feature_map_count = 1

Used in: Layer

• optional PrefixSumParam.PrefixSumFeatureMapParam feature_map_param = 1

• optional float clamp_min = 2

• optional float clamp_max = 3

Used in: PrefixSumParam

• required uint32 segment_length = 1

Used in: Layer

• repeated RGBToYUVConvertParam.ColorFeatureMapParam color_feature_map_param = 1

Used in: RGBToYUVConvertParam

• required uint32 red_and_y_feature_map_id = 1

• required uint32 green_and_u_feature_map_id = 2

• required uint32 blue_and_v_feature_map_id = 3

Used in: Layer

• optional float negative_slope = 1

Used in: Layer

• optional ReshapeParam.EntryParam entry_param = 1

• optional ReshapeParam.FeatureMapParam feature_map_param = 2

• repeated ReshapeParam.DimensionParam dimension_param = 3

• optional uint32 collapse_to_dimensions = 4

Used in: ReshapeParam

• optional uint32 upsampling_size = 1

• optional uint32 downsampling_size = 2

Used in: ReshapeParam

• optional uint32 upsampling_size = 1

• optional uint32 downsampling_size = 2

Used in: ReshapeParam

• optional uint32 upsampling_size = 1

• optional uint32 downsampling_size = 2

Used in: Layer

• required uint32 input_feature_map_count = 1

• required uint32 output_feature_map_count = 2

• optional uint32 feature_map_connection_count = 3

• optional float feature_map_connection_sparsity_ratio = 4

• repeated SparseConvolutionalParam.SparseConvolutionalDimensionParam dimension_param = 5

• optional bool bias = 6

Used in: SparseConvolutionalParam

• required uint32 kernel_size = 1

• optional uint32 left_padding = 2

• optional uint32 right_padding = 3

• optional uint32 stride = 4

Used in: Layer

• optional float scale = 1

• optional float steepness = 2

Used in: Layer

• repeated UnTileParam.UnTileLevelParam level_param = 1

Used in: UnTileParam

• repeated UnTileUpsamplingDimensionParam dimension_param = 1

Used in: UnTileLevelParam

• required uint32 upsampling_size = 1

Used in: Layer

• repeated UpsamplingParam.UpsamplingDimensionParam dimension_param = 1

• optional UpsamplingParam.UpsamplingFeatureMapParam feature_map_param = 2

• optional UpsamplingParam.UpsamplingEntryParam entry_param = 3

Used in: UpsamplingParam

• required uint32 upsampling_size = 1

Used in: UpsamplingParam

• required uint32 upsampling_size = 1

Used in: UpsamplingParam

• required uint32 upsampling_size = 1