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AttributeError: module 'triton.language' has no attribute 'cumsum'
Hi, I miss an error as "AttributeError: module 'triton.language' has no attribute 'cumsum'". Request a solution!. Thank you very much!
The details are as follows:
File "/root/miniconda3/lib/python3.8/site-packages/mamba_ssm/ops/triton/ssd_combined.py", line 307, in _mamba_chunk_scan_combined_fwd
dA_cumsum, dt = _chunk_cumsum_fwd(dt, A, chunk_size, dt_bias=dt_bias, dt_softplus=dt_softplus, dt_limit=dt_limit)
File "/root/miniconda3/lib/python3.8/site-packages/mamba_ssm/ops/triton/ssd_chunk_state.py", line 582, in _chunk_cumsum_fwd
_chunk_cumsum_fwd_kernel[grid_chunk_cs](
File "/root/miniconda3/lib/python3.8/site-packages/triton/runtime/autotuner.py", line 77, in run
timings = {config: self._bench(*args, config=config, **kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/triton/runtime/autotuner.py", line 77, in
Please use triton >= 2.1.0
same issue, triton version==2.1.0, torch=2.0.1, cuda11.6
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/mamba_ssm/modules/mamba2.py", line 176, in forward
out = mamba_split_conv1d_scan_combined(
File "/opt/conda/lib/python3.10/site-packages/mamba_ssm/ops/triton/ssd_combined.py", line 908, in mamba_split_conv1d_scan_combined
return MambaSplitConv1dScanCombinedFn.apply(zxbcdt, conv1d_weight, conv1d_bias, dt_bias, A, D, chunk_size, initial_states, seq_idx, dt_limit, return_final_states, activation, rmsnorm_weight, rmsnorm_eps, outproj_weight, outproj_bias, headdim, ngroups, norm_before_gate)
File "/opt/conda/lib/python3.10/site-packages/torch/autograd/function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "/opt/conda/lib/python3.10/site-packages/torch/cuda/amp/autocast_mode.py", line 98, in decorate_fwd
return fwd(*args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/mamba_ssm/ops/triton/ssd_combined.py", line 773, in forward
out_x, _, dt_out, dA_cumsum, states, final_states = _mamba_chunk_scan_combined_fwd(x, dt, A, B, C, chunk_size=chunk_size, D=D, z=None, dt_bias=dt_bias, initial_states=initial_states, seq_idx=seq_idx, dt_softplus=True, dt_limit=dt_limit)
File "/opt/conda/lib/python3.10/site-packages/mamba_ssm/ops/triton/ssd_combined.py", line 307, in _mamba_chunk_scan_combined_fwd
dA_cumsum, dt = _chunk_cumsum_fwd(dt, A, chunk_size, dt_bias=dt_bias, dt_softplus=dt_softplus, dt_limit=dt_limit)
File "/opt/conda/lib/python3.10/site-packages/mamba_ssm/ops/triton/ssd_chunk_state.py", line 582, in _chunk_cumsum_fwd
_chunk_cumsum_fwd_kernel[grid_chunk_cs](
File "/opt/conda/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 77, in run
timings = {config: self._bench(*args, config=config, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 77, in
triton 2.1.0 should have cumsum. If not you can try >= 2.2.0
Hi,I miss a question that my framework needs torch==2.0.1, but triton>=2.0.0 will be incompatible, is there a way to solve it?
No we require tl.cumsum
@Yyc1999super I'm running torch v2.0.1 with triton v2.3.0 with no issue. Just install triton after torch and you should be fine. Pip will complain but install, afaik this is just a legacy issue of torch.
@Yyc1999super I'm running torch v2.0.1 with triton v2.3.0 with no issue. Just install triton after torch and you should be fine. Pip will complain but install, afaik this is just a legacy issue of torch.
Okay, Thank you. I will try it again.
torch2.0.1, cuda11.6, triton2.3.0 Triton Error [CUDA]: device kernel image is invalid
#386
I tried triton2.2.0, 2.3.0, the problem still exists. Then i tried triton3.2.0, it fixed.
I had Triton 2.0.0 and then installed 2.3.1 and it worked.