↓ 4 callersFunctionprocess_image(
image: Union[Dict[str, Any], ImageObject, str], min_pixels: Optional[int], max_pixels: Optional[int]
)
src/rsgrpo/verl/utils/dataset.py:54
↓ 4 callersFunctionrepeat_kv This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, num_key_value_heads, seqlen, he
src/openmatch/modeling/weighted_selection/MiniCPMV20/modeling_minicpm.py:338
↓ 3 callersMethod__init__(
self, in_channel, out_channels, kernel_size, stride=1, padding=None,
dilation=1, gro
timm_modified/timm/layers/std_conv.py:32
↓ 3 callersMethod__init__(
self,
k_sec=(3, 4, 20, 3),
inc_sec=(16, 32, 24, 128),
k_r=96
timm_modified/timm/models/dpn.py:151
↓ 3 callersMethod__init__(
self,
growth_rate=32,
block_config=(6, 12, 24, 16),
num_clas
timm_modified/timm/models/densenet.py:163
↓ 3 callersMethod__init__(self, cfg, num_classes=1000, in_chans=3, drop_rate=0.0, global_pool='avg')
timm_modified/timm/models/selecsls.py:126
↓ 3 callersFunction_mobilevitv2_block(d, c, s, transformer_depth, patch_size=2, br=2.0, transformer_br=0.5)
timm_modified/timm/models/mobilevit.py:54
↓ 3 callersMethodfrom_single_dict(
cls,
data: Dict[str, Union[torch.Tensor, NDArray]],
meta_info: Optional[Dict[str, An
src/rsgrpo/verl/protocol.py:267