package bmnet.bm1880

Get desktop application:
View/edit binary Protocol Buffers messages

• repeated Inst inst = 1

Used in: CommandBuffer

• optional string name = 1

• optional string type = 2

• optional Inst.bmnet_pooling_fixed_forward_bmkernel pooling = 4

  Layer type-specific parameters.

• optional Inst.bmnet_conv_fixed_forward_bmkernel conv = 5

• optional Inst.bmnet_conv_parallel_fixed_forward_bmkernel conv_p = 6

• optional Inst.bmnet_fc_fixed_forward_bmkernel fc = 7

• optional Inst.bmnet_relu_fixed_forward_bmkernel relu = 8

• optional Inst.bmnet_leakyrelu_fixed_forward_bmkernel leakyrelu = 9

• optional Inst.bmnet_prelu_fixed_forward_bmkernel prelu = 10

• optional Inst.bmnet_batchnorm_fixed_forward_inference_bmkernel batchnorm = 11

• optional Inst.bmnet_scale_fixed_forward_bmkernel scale = 12

• optional Inst.bmnet_reshape_fixed_forward_bmkernel reshape = 13

• optional Inst.bmnet_split_fixed_forward_bmkernel split = 14

• optional Inst.bmnet_concat_fixed_forward_bmkernel concat = 15

• optional Inst.bmnet_eltwise_fixed_forward_bmkernel eltwise = 16

• optional Inst.bmnet_permute_fixed_forward_bmkernel permute = 17

• optional Inst.bmnet_priorbox_fixed_forward_bmkernel priorbox = 18

• optional Inst.bmnet_lrn_fixed_forward_bmkernel lrn = 19

• optional Inst.bmnet_upsample_fixed_bmkernel upsample = 20

• optional Inst.bmnet_normalize_fixed_forward_bmkernel normalize = 21

• optional Inst.bmnet_tl_conv_forward_bmkernel bm_tl_conv = 22

• optional Inst.bmnet_tl_activation_forward_bmkernel tl_activation = 23

• optional Inst.bmnet_tl_scale_forward_bmkernel tl_csale = 24

• optional Inst.bmnet_tl_batchnorm_forward_bmkernel tl_bn = 25

• optional Inst.bmnet_tl_eltwise_forward_bmkernel tl_eltwise = 26

• optional Inst.bmnet_tl_lrn_forward_bmkernel tl_lrn = 27

• optional Inst.bmnet_tl_pooling_forward_bmkernel tl_pool = 28

• optional Inst.bmnet_tl_upsample_forward_bmkernel tl_upsample = 29

• optional Inst.bmnet_tl_load_stride_bmkernel tl_layer_load_stride = 30

• optional Inst.bmnet_tl_load_bmkernel tl_layer_load = 31

• optional Inst.bmnet_tl_store_stride_bmkernel tl_layer_store_stride = 32

• optional Inst.bmnet_tl_store_bmkernel tl_layer_store = 33

• optional Inst.bmnet_tl_relu_forward_bmkernel tl_relu = 34

Used in: bmnet_tl_activation_forward_bmkernel

• RELU = 0

• SIGMOID = 1

• TANH = 2

• ELU = 3

• PRELU = 4

Used in: Inst

• optional uint64 bottom_gaddr = 1

• optional uint64 mean_ma_gaddr = 2

• optional uint64 variance_ma_gaddr = 3

• optional uint64 top_gaddr = 4

• optional int32 input_n = 5

• optional int32 input_c = 6

• optional int32 input_h = 7

• optional int32 input_w = 8

• optional int32 right_shift_width = 9

Used in: Inst

• repeated uint64 input_gaddrs = 1

• optional uint64 output_gaddr = 2

• repeated int32 input_dims = 3

• optional int32 input_num = 4

• optional int32 concat_axis = 5

• optional int32 output_dim_len = 6

• repeated int32 output_dim = 7

• optional int32 need_quantize_num = 8

• repeated int32 right_shift_width = 9

• repeated int32 threshold_x_quantized = 10

Used in: Inst

• optional uint64 ga_ifmap = 1

• optional uint64 ga_ofmap = 2

• optional uint64 ga_weight = 3

• optional uint64 ga_bias = 4

• optional uint64 ga_bn_mean = 5

• optional uint64 ga_bn_variance = 6

• optional uint64 ga_scale = 7

• optional uint64 ga_scale_bias = 8

• optional int32 input_n = 9

• optional int32 input_c = 10

• optional int32 input_h = 11

• optional int32 input_w = 12

• optional int32 groups = 13

• optional int32 output_c = 14

• optional uint32 kh = 15

• optional uint32 kw = 16

• optional uint32 dilation_h = 17

• optional uint32 dilation_w = 18

• optional uint32 pad_h = 19

• optional uint32 pad_w = 20

• optional uint32 stride_h = 21

• optional uint32 stride_w = 22

• optional int32 result_add = 23

• optional int32 do_bias = 24

• optional int32 do_bn = 25

• optional int32 do_scale = 26

• optional int32 do_scale_bias = 27

• optional int32 do_activation = 28

• optional float bn_scale = 29

• optional float bn_eps = 30

• optional int32 activation_method = 31

• repeated float activation_arg = 32

• optional uint64 activation_ga_slope = 33

• optional bool activation_channel_shared = 34

• optional int32 activation_gt_scale = 35

• optional int32 activation_gt_rshift = 36

• optional int32 activation_le_scale = 37

• optional int32 activation_le_rshift = 38

• optional int32 right_shift_width = 39

• optional int32 bn_right_shift_width = 40

• optional int32 scalar_right_shift_width = 41

• optional bool use_winograd = 42

Used in: Inst

• optional uint64 ga_ifmap = 1

• optional uint64 ga_ofmap = 2

• optional uint64 ga_weight = 3

• optional uint64 ga_bias = 4

• optional uint64 ga_bn_mean = 5

• optional uint64 ga_bn_variance = 6

• optional uint64 ga_scale = 7

• optional uint64 ga_scale_bias = 8

• optional int32 input_n = 9

• optional int32 input_c = 10

• optional int32 input_h = 11

• optional int32 input_w = 12

• optional int32 groups = 13

• optional int32 output_c = 14

• optional uint32 kh = 15

• optional uint32 kw = 16

• optional uint32 dilation_h = 17

• optional uint32 dilation_w = 18

• optional uint32 pad_h = 19

• optional uint32 pad_w = 20

• optional uint32 stride_h = 21

• optional uint32 stride_w = 22

• optional int32 result_add = 23

• optional int32 do_bias = 24

• optional int32 do_bn = 25

• optional int32 do_scale = 26

• optional int32 do_scale_bias = 27

• optional int32 do_activation = 28

• optional float bn_scale = 29

• optional float bn_eps = 30

• optional int32 activation_method = 31

• repeated float activation_arg = 32

• optional uint64 activation_ga_slope = 33

• optional bool activation_channel_shared = 34

• optional int32 activation_gt_scale = 35

• optional int32 activation_gt_rshift = 36

• optional int32 activation_le_scale = 37

• optional int32 activation_le_rshift = 38

• optional int32 right_shift_width = 39

• optional int32 bn_right_shift_width = 40

• optional int32 scale_right_shift_width = 41

• optional bool use_winograd = 42

Used in: Inst

• repeated uint64 ga_input = 1

• optional uint64 ga_output = 2

• optional int32 input_size = 3

• optional int32 op = 4

• optional int32 input_n = 5

• optional int32 input_c = 6

• optional int32 input_h = 7

• optional int32 input_w = 8

• optional bool do_relu = 9

• optional float relu_slope = 10

• optional int32 right_shift_width = 11

• repeated int32 threshold_x_quantized = 12

Used in: Inst

• optional uint64 bottom_data_gaddr = 1

• optional uint64 weight_data_gaddr = 2

• optional uint64 bias_data_gaddr = 3

• optional uint64 top_data_gaddr = 4

• optional int32 input_row_num = 5

• optional int32 input_col_num = 6

• optional int32 weight_col_num = 7

• optional int32 have_bias = 8

• optional int32 do_activation = 9

• optional int32 activation_method = 10

• optional uint64 activation_ga_slope = 11

• optional int32 activation_channel_shared = 12

• optional int32 activation_gt_scale = 13

• optional int32 activation_gt_rshift = 14

• optional int32 activation_le_scale = 15

• optional int32 activation_le_rshift = 16

• optional bool weight_transpose = 17

• optional int32 left_shift_width = 18

• optional int32 right_shift_width = 19

Used in: Inst

• optional uint64 input_gaddr = 1

• optional uint64 output_gaddr = 2

• optional int32 input_n = 3

• optional int32 input_c = 4

• optional int32 input_h = 5

• optional int32 input_w = 6

• optional int32 GT_right_shift_width = 7

• optional int32 LE_right_shift_width = 8

• optional int32 GT_scale = 9

• optional int32 LE_scale = 10

Used in: Inst

• optional uint64 bottom_gaddr = 1

• optional uint64 top_gaddr = 2

• optional uint64 sqr_lut_gaddr = 3

• optional uint64 power_lut_gaddr = 4

• optional int32 input_n = 5

• optional int32 input_c = 6

• optional int32 input_h = 7

• optional int32 input_w = 8

• optional int32 size = 9

• optional int32 sum_right_shift_width = 10

• optional int32 lrn_right_shift_width = 11

• repeated int32 threshold_x_quantized = 12

Used in: Inst

• optional uint64 input_gaddr = 1

• optional uint64 output_gaddr = 2

• optional bool has_scale_blob = 3

• optional uint64 scale_gaddr = 4

• optional uint64 sqr_lut_gaddr = 5

• optional uint64 sqrt_lut_gaddr = 6

• optional bool across_spatial = 7

• optional bool channel_shared = 8

• repeated int32 scales = 9

• optional int32 input_n = 10

• optional int32 input_c = 11

• optional int32 input_h = 12

• optional int32 input_w = 13

• optional int32 sum_right_shift_width = 14

• optional int32 norma_right_shift_width = 15

• optional int32 scale_right_shift_width = 16

• repeated int32 threshold_x_quantized = 17

Used in: Inst

• optional uint64 input_gaddr = 1

• optional uint64 output_gaddr = 2

• optional int32 input_n = 3

• optional int32 input_c = 4

• optional int32 input_h = 5

• optional int32 input_w = 6

• optional int32 output_n = 7

• optional int32 output_c = 8

• optional int32 output_h = 9

• optional int32 output_w = 10

• optional int32 order_n = 11

• optional int32 order_c = 12

• optional int32 order_h = 13

• optional int32 order_w = 14

• optional bool need_permute = 15

Used in: Inst

• optional uint64 ifmap_gaddr = 1

• optional uint64 ofmap_gaddr = 2

• optional uint64 index_gaddr = 3

• optional uint64 o_findex_gaddr = 4

• optional int32 n = 5

• optional int32 c = 6

• optional int32 h = 7

• optional int32 w = 8

• optional int32 kh = 9

• optional int32 kw = 10

• optional int32 pad_top = 11

• optional int32 pad_bot = 12

• optional int32 pad_left = 13

• optional int32 pad_right = 14

• optional int32 stride_h = 15

• optional int32 stride_w = 16

• optional int32 is_avg_pooling = 17

• optional float avg_const = 18

• optional int32 do_relu = 19

• optional int32 right_shift_width = 20

• repeated int32 threshold_x_quantized = 21

• optional bool ceil_mode = 22

Used in: Inst

• optional uint64 input_gaddr = 1

• optional uint64 slope_gaddr = 2

• optional uint64 output_gaddr = 3

• optional int32 channel_shared = 4

• optional int32 slope = 5

• optional int32 input_n = 6

• optional int32 input_c = 7

• optional int32 input_h = 8

• optional int32 input_w = 9

• optional int32 GT_scale = 10

• optional int32 GT_right_shift_width = 11

• optional int32 LE_right_shift_width = 12

Used in: Inst

• optional uint64 weight_data_gaddr = 1

• optional uint64 output_gaddr = 2

• optional int32 output_c = 3

• optional int32 output_h = 4

• optional int32 output_w = 5

Used in: Inst

• optional uint64 bottom_gaddr = 1

• optional uint64 top_gaddr = 2

• optional float negative_slope = 3

• optional int32 input_n = 4

• optional int32 input_c = 5

• optional int32 input_h = 6

• optional int32 input_w = 7

Used in: Inst

• optional uint64 input_gaddr = 1

• optional uint64 output_gaddr = 2

• optional int32 output_dim_len = 3

• repeated int32 output_dim = 4

Used in: Inst

• optional uint64 input_gaddr = 1

• optional uint64 scale_gaddr = 2

• optional uint64 bias_gaddr = 3

• optional uint64 output_gaddr = 4

• optional int32 input_n = 5

• optional int32 input_c = 6

• optional int32 input_h = 7

• optional int32 input_w = 8

• optional int32 scale_dim = 9

• optional int32 inner_dim = 10

• optional int32 right_shift_width = 11

Used in: Inst

• optional uint64 bottom_gaddr = 1

• repeated uint64 top_gaddr = 2

• optional int32 top_size = 3

• optional int32 input_n = 4

• optional int32 input_c = 5

• optional int32 input_h = 6

• optional int32 input_w = 7

Used in: Inst

• optional uint64 input_laddr = 1

• optional uint64 output_laddr = 2

• optional uint64 weight_laddr = 3

• optional int32 input_n = 4

• optional int32 input_c = 5

• optional int32 input_h = 6

• optional int32 input_w = 7

• optional int32 gt_rshift = 8

• optional int32 le_rshift = 9

• optional int32 gt_scale = 10

• optional int32 le_scale = 11

• optional int32 gt_right_shift_width = 12

• optional int32 le_right_shift_width = 13

• optional int32 activation_arg_len = 14

• repeated float activation_arg = 15

• optional bool channel_shared = 16

• optional ActivationMethod activation_type = 17

Used in: Inst

• optional uint64 bottom_laddr = 1

• optional uint64 top_laddr = 2

• optional uint64 mean_laddr = 3

• optional uint64 variance_laddr = 4

• optional int32 input_n = 5

• optional int32 input_c = 6

• optional int32 input_h = 7

• optional int32 input_w = 8

• optional int32 right_shift_width = 9

• optional bool do_relu = 10

Used in: Inst

• optional uint64 la_ifmap = 1

• optional uint64 la_ofmap = 2

• optional uint64 la_weight = 3

• optional uint64 la_bias = 4

• repeated uint32 group_weight = 5

• repeated uint32 group_bias = 6

• optional int32 input_n = 7

• optional int32 input_c = 8

• optional int32 input_h = 9

• optional int32 input_w = 10

• optional int32 group = 11

• optional int32 output_c = 12

• optional int32 output_h = 13

• optional int32 output_w = 14

• optional uint32 kh = 15

• optional uint32 kw = 16

• optional uint32 dh = 17

• optional uint32 dw = 18

• optional uint32 pad_h_top = 19

• optional uint32 pad_h_bottom = 20

• optional uint32 pad_w_left = 21

• optional uint32 pad_w_right = 22

• optional uint32 stride_h = 23

• optional uint32 stride_w = 24

• optional uint32 result_add = 25

• optional uint32 ctrl = 26

• optional int32 rshift = 27

• optional bool do_bias = 28

• optional bool use_winograd = 29

• optional bool do_relu = 30

Used in: Inst

• repeated uint64 la_input = 1

• optional uint64 la_output = 2

• optional uint64 la_working = 3

• optional int32 input_n = 4

• optional int32 input_c = 5

• optional int32 input_h = 6

• optional int32 input_w = 7

• optional int32 input_size = 8

• optional int32 right_shift_width = 9

• optional int32 op = 10

• repeated int32 threshold_x_quantized = 11

• optional bool use_default_coeff = 12

• optional bool do_relu = 13

• optional float relu_slope = 14

Used in: Inst

• optional uint64 ga_src = 1

• optional uint64 la_dst = 2

• optional int32 Local_N = 3

• optional int32 Local_C = 4

• optional int32 Local_H = 5

• optional int32 Local_W = 6

• optional int32 Global_C = 7

• optional int32 Global_H = 8

• optional int32 Global_W = 9

• optional bool DoTranspose = 10

• optional bool DoAligned = 11

• optional bool isNeuron = 12

Used in: Inst

• optional uint64 ga_src = 1

• optional uint64 la_dst = 2

• optional int32 Local_N = 3

• optional int32 Local_C = 4

• optional int32 Local_H = 5

• optional int32 Local_W = 6

• optional int32 Global_C = 7

• optional int32 Global_H = 8

• optional int32 Global_W = 9

• optional bool DoTranspose = 10

• optional bool DoAligned = 11

• optional bool isNeuron = 12

Used in: Inst

• optional uint64 bottom_laddr = 1

• optional uint64 top_laddr = 2

• optional uint64 sqr_lut_laddr = 3

• optional uint64 power_lut_laddr = 4

• optional uint64 working_laddr = 5

• optional int32 input_n = 6

• optional int32 input_c = 7

• optional int32 input_h = 8

• optional int32 input_w = 9

• optional int32 size = 10

• optional int32 sum_right_shift_width = 11

• optional int32 lrn_right_shift_width = 12

• repeated int32 threshold_x_quantized = 13

Used in: Inst

• optional uint64 ifmap_laddr = 1

• optional uint64 ofmap_laddr = 2

• optional int32 input_n = 3

• optional int32 input_c = 4

• optional int32 input_h = 5

• optional int32 input_w = 6

• optional int32 output_n = 7

• optional int32 output_c = 8

• optional int32 output_h = 9

• optional int32 output_w = 10

• optional uint32 kh = 11

• optional uint32 kw = 12

• optional uint32 stride_h = 13

• optional uint32 stride_w = 14

• optional uint32 pad_h_top = 15

• optional uint32 pad_h_bottom = 16

• optional uint32 pad_w_left = 17

• optional uint32 pad_w_right = 18

• optional bool is_avg_pooling = 19

• optional int32 right_shift_width = 20

• optional int32 threshold_x_quantized = 21

Used in: Inst

• optional uint64 input_laddr = 1

• optional uint64 output_laddr = 2

• optional int32 input_n = 3

• optional int32 input_c = 4

• optional int32 input_h = 5

• optional int32 input_w = 6

Used in: Inst

• optional uint64 input_laddr = 1

• optional uint64 output_laddr = 2

• optional uint64 scale_laddr = 3

• optional uint64 bias_laddr = 4

• optional int32 input_n = 5

• optional int32 input_c = 6

• optional int32 input_h = 7

• optional int32 input_w = 8

• optional int32 scale_dim = 9

• optional int32 right_shift_width = 10

• optional bool do_bias = 11

• optional bool do_relu = 12

• optional float relu_slope = 13

Used in: Inst

• optional uint64 ga_dst = 1

• optional uint64 la_src = 2

• optional int32 Local_N = 3

• optional int32 Local_C = 4

• optional int32 Local_H = 5

• optional int32 Local_W = 6

• optional int32 Global_C = 7

• optional int32 Global_H = 8

• optional int32 Global_W = 9

• optional bool DoTranspose = 10

• optional bool DoAligned = 11

• optional bool isNeuron = 12

Used in: Inst

• optional uint64 ga_dst = 1

• optional uint64 la_src = 2

• optional int32 Local_N = 3

• optional int32 Local_C = 4

• optional int32 Local_H = 5

• optional int32 Local_W = 6

• optional int32 Global_C = 7

• optional int32 Global_H = 8

• optional int32 Global_W = 9

• optional bool DoTranspose = 10

• optional bool DoAligned = 11

• optional bool isNeuron = 12

Used in: Inst

• optional uint64 la_ifmap = 1

• optional uint64 la_ofmap = 2

• optional int32 input_n = 3

• optional int32 input_c = 4

• optional int32 input_h = 5

• optional int32 input_w = 6

• optional int32 output_h = 7

• optional int32 output_w = 8

• optional int32 size = 9

Used in: Inst

• optional uint64 ga_ifmap = 1

• optional uint64 ga_ofmap = 2

• optional int32 input_n = 3

• optional int32 input_c = 4

• optional int32 input_h = 5

• optional int32 input_w = 6

• optional int32 size = 7