↓ 10 callersFunctionbuild_mm_weight(
weight_name,
bias_name,
config,
create_cuda_buffer=False,
create_cpu_buffer=False,
l
lightx2v/models/networks/wan/weights/motus/_shared.py:28
↓ 9 callersFunctionapply_adaln_single(
hid: torch.Tensor,
emb: torch.Tensor,
layer_idx: int,
num_layers: int,
mode: str,
ca
lightx2v/models/networks/seedvr/infer/utils.py:29
↓ 8 callersMethod__init__(self, vocab_size, dim, dim_attn, dim_ffn, num_heads, encoder_layers, decoder_layers, num_buckets, shared_pos=
lightx2v_train/lightx2v_train/model_zoo/native/wan/modules/t5.py:301
↓ 8 callersFunctionflash_attention q: [B, Lq, Nq, C1]. k: [B, Lk, Nk, C1]. v: [B, Lk, Nk, C2]. Nq must be divisible by Nk. q_lens
lightx2v_train/lightx2v_train/model_zoo/native/wan/modules/attention.py:34
↓ 8 callersMethodreorder_txt_token(self, byt5_txt, txt, byt5_text_mask, text_mask, zero_feat=False, is_reorder=True)
lightx2v/models/networks/hunyuan_video/infer/pre_infer.py:249
↓ 7 callersMethod_assert_residual_gate_rejects(self, mat_a, mat_b, scales_a, scales_b, alpha, residual, gate, pattern, bias=None)
lightx2v_kernel/test/mxfp8_mxfp8/test_fused_ffn.py:400