↓ 14 callersFunctioncutlass_scaled_mxfp8_mm(mat_a, mat_b, scales_a, scales_b, alpha, bias=None)
lightx2v_kernel/python/lightx2v_kernel/gemm.py:157
↓ 12 callersMethod__init__(
self,
vocab_size,
dim,
dim_attn,
dim_ffn,
num_heads,
lightx2v/models/input_encoders/hf/wan/t5/model.py:665
↓ 12 callersFunctionapply_rotary_emb(freqs, t, start_index=0, scale=1.0, seq_dim=-2, freqs_seq_dim=None)
lightx2v/models/networks/seedvr/utils/rotary_embedding_torch.py:49
↓ 12 callersFunctionmake_conv_nd( # noqa: PLR0913
dims: Union[int, Tuple[int, int]],
in_channels: int,
out_channels: int,
ker
lightx2v/models/video_encoders/hf/ltx2/video_vae/convolution.py:11
↓ 11 callersMethod__init__(self, *, width: int, expand_ratio: int = 4, output_width: int = None, drop_path_rate: float = 0.0)
lightx2v/models/video_encoders/hf/hunyuan3d/autoencoders/attention_blocks.py:163
↓ 11 callersMethod__init__(
self,
in_channels: int,
out_channels: int,
factor_t,
factor_s=1,
lightx2v/models/video_encoders/hf/wan/vae_2_2.py:503