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Searched refs:num_groups (Results 1 – 12 of 12) sorted by relevance

/hardware/qcom/sm8150p/gps/utils/
Dloc_cfg.h96 unsigned char num_groups; member
Dloc_cfg.cpp806 child_proc[j].num_groups = 0; in loc_read_process_conf()
811 child_proc[j].group_list[child_proc[j].num_groups] = grp->gr_gid; in loc_read_process_conf()
812 child_proc[j].num_groups++; in loc_read_process_conf()
/hardware/qcom/sm7150/gps/utils/
Dloc_cfg.h96 unsigned char num_groups; member
Dloc_cfg.cpp823 child_proc[j].num_groups = 0; in loc_read_process_conf()
828 child_proc[j].group_list[child_proc[j].num_groups] = grp->gr_gid; in loc_read_process_conf()
829 child_proc[j].num_groups++; in loc_read_process_conf()
/hardware/qcom/sm7250/gps/utils/
Dloc_cfg.h100 unsigned char num_groups; member
Dloc_cfg.cpp843 child_proc[j].num_groups = 0; in loc_read_process_conf()
848 child_proc[j].group_list[child_proc[j].num_groups] = grp->gr_gid; in loc_read_process_conf()
849 child_proc[j].num_groups++; in loc_read_process_conf()
/hardware/qcom/sm8150/gps/utils/
Dloc_cfg.h100 unsigned char num_groups; member
Dloc_cfg.cpp843 child_proc[j].num_groups = 0; in loc_read_process_conf()
848 child_proc[j].group_list[child_proc[j].num_groups] = grp->gr_gid; in loc_read_process_conf()
849 child_proc[j].num_groups++; in loc_read_process_conf()
/hardware/google/gfxstream/host/apigen-codec-common/X11/
DXKBlib.h130 int num_groups; /* total groups on keyboard */ member
/hardware/google/gfxstream/host/apigen-codec-common/X11/extensions/
DXKBstr.h263 unsigned char num_groups; member
/hardware/interfaces/neuralnetworks/1.2/
Dtypes.hal2774 * Given an input tensor and a integer value of num_groups, CHANNEL_SHUFFLE
2775 * divide the channel dimension into num_groups groups, and reorganize the
2780 * output_channel[k * num_groups + g] = input_channel[g * group_size + k]
2782 * where group_size = num_channels / num_groups
2784 * The number of channels must be divisible by num_groups.
3131 * Specifically, the input channels are divided into num_groups groups, each with
3132 * depth depth_group, i.e. depth_in = num_groups * depth_group. The convolutional
3133 * filters are also divided into num_groups groups, i.e. depth_out is divisible
3134 * by num_groups. GROUPED_CONV applies each group of filters to the corresponding
3149 * where channel_multiplier = depth_out / num_groups
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/hardware/interfaces/neuralnetworks/1.3/
Dtypes.hal2947 * Given an input tensor and a integer value of num_groups, CHANNEL_SHUFFLE
2948 * divide the channel dimension into num_groups groups, and reorganize the
2953 * output_channel[k * num_groups + g] = input_channel[g * group_size + k]
2955 * where group_size = num_channels / num_groups
2957 * The number of channels must be divisible by num_groups.
3317 * Specifically, the input channels are divided into num_groups groups, each with
3318 * depth depth_group, i.e. depth_in = num_groups * depth_group. The convolutional
3319 * filters are also divided into num_groups groups, i.e. depth_out is divisible
3320 * by num_groups. GROUPED_CONV applies each group of filters to the corresponding
3335 * where channel_multiplier = depth_out / num_groups
[all …]