Hello, I'm running lyra2 step1 preset trajectory but fails during the first autoregressive denoising step. The model and checkpoints load successfully. The environment can successfully pass the verification step in INSTALL.md (# 8. Verify installation), so the basic installation check appears to be fine. However, real Lyra2 inference still crashes when execution reaches the TransformerEngine fused attention path.
Error
RuntimeError: /TransformerEngine/transformer_engine/common/fused_attn/fused_attn_f16_arbitrary_seqlen.cu:417 in function operator():
cuDNN Error: CUDNN_BACKEND_TENSOR_DESCRIPTOR cudnnFinalize failed
ptrDesc->finalize() cudnn_status: CUDNN_STATUS_SUBLIBRARY_LOADING_FAILED
Relevant traceback
File "lyra_2/_src/networks/wan2pt1.py", line 347, in forward
x = self.attn_op(rope_apply(q, video_size, freqs), rope_apply(k, video_size, freqs), v, video_size)
...
File ".../transformer_engine/pytorch/cpp_extensions/fused_attn.py", line 307, in fused_attn_fwd
output_tensors = tex.fused_attn_fwd(
RuntimeError: ... CUDNN_STATUS_SUBLIBRARY_LOADING_FAILED
Environment
- GPU: NVIDIA H100 80GB
- Driver: 535.129.03
- PyTorch: 2.7.1+cu126
- torchvision: 0.22.1+cu126
- TransformerEngine: 2.13.0
- cuDNN: 9.5.1.17
- CUDA version: 12.6
Question
Can Lyra2 be expected to run correctly in a CUDA 12.6 environment?
Hello, I'm running lyra2 step1 preset trajectory but fails during the first autoregressive denoising step. The model and checkpoints load successfully. The environment can successfully pass the verification step in
INSTALL.md(# 8. Verify installation), so the basic installation check appears to be fine. However, real Lyra2 inference still crashes when execution reaches the TransformerEngine fused attention path.Error
RuntimeError: /TransformerEngine/transformer_engine/common/fused_attn/fused_attn_f16_arbitrary_seqlen.cu:417 in function operator():
cuDNN Error: CUDNN_BACKEND_TENSOR_DESCRIPTOR cudnnFinalize failed
ptrDesc->finalize() cudnn_status: CUDNN_STATUS_SUBLIBRARY_LOADING_FAILED
Relevant traceback
File "lyra_2/_src/networks/wan2pt1.py", line 347, in forward
x = self.attn_op(rope_apply(q, video_size, freqs), rope_apply(k, video_size, freqs), v, video_size)
...
File ".../transformer_engine/pytorch/cpp_extensions/fused_attn.py", line 307, in fused_attn_fwd
output_tensors = tex.fused_attn_fwd(
RuntimeError: ... CUDNN_STATUS_SUBLIBRARY_LOADING_FAILED
Environment
Question
Can Lyra2 be expected to run correctly in a CUDA 12.6 environment?