(Changing Seeds Error) Pointer argument (at 0) cannot be accessed from Triton (cpu tensor?) #61
Description
Describe the bug
It runs fine one the same seed, but as soon as i change the seed, i get this error: Pointer argument (at 0) cannot be accessed from Triton (cpu tensor?)
2025-02-21T12:45:36.052231 - Requested to load Flux
2025-02-21T12:45:38.719215 - loaded partially 9443.495919891357 9443.495849609375 0
2025-02-21T12:45:38.721198 -
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0%| | 0/20 [00:00<?, ?it/s]2025-02-21T12:45:38.726654 -
2025-02-21T12:45:38.750959 - !!! Exception during processing !!! Pointer argument (at 0) cannot be accessed from Triton (cpu tensor?)
2025-02-21T12:45:38.757407 - Traceback (most recent call last):
File "D:\SD\SM\Data\Packages\ComfyUI\execution.py", line 327, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "D:\SD\SM\Data\Packages\ComfyUI\execution.py", line 202, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI-0246\utils.py", line 353, in new_func
res_value = old_func(*final_args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\execution.py", line 174, in _map_node_over_list
process_inputs(input_dict, i)
File "D:\SD\SM\Data\Packages\ComfyUI\execution.py", line 163, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "D:\SD\SM\Data\Packages\ComfyUI\comfy_extras\nodes_custom_sampler.py", line 494, in sample
samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise_seed)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI-vectorscope-cc\callback_manager.py", line 49, in sample
return original_sample(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\sample.py", line 50, in sample_custom
samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 143, in sample
return orig_fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 1000, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 985, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 953, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 936, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 108, in KSAMPLER_sample
return orig_fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 34, in KSAMPLER_sample
return orig_fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 715, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\k_diffusion\sampling.py", line 161, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 379, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 916, in __call__
return self.predict_noise(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 919, in predict_noise
return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 183, in sampling_function
out = orig_fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 359, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 195, in calc_cond_batch
return executor.execute(model, conds, x_in, timestep, model_options)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 308, in _calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\model_base.py", line 132, in apply_model
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\model_base.py", line 163, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_dynamo\eval_frame.py", line 465, in _fn
return fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\ldm\flux\model.py", line 203, in forward
out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None))
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\ldm\flux\model.py", line 110, in forward_orig
vec = self.time_in(timestep_embedding(timesteps, 256).to(img.dtype))
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\ldm\flux\layers.py", line 57, in forward
def forward(self, x: Tensor) -> Tensor:
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_dynamo\eval_frame.py", line 632, in _fn
return fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\aot_autograd.py", line 1100, in forward
return compiled_fn(full_args)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 321, in runtime_wrapper
all_outs = call_func_at_runtime_with_args(
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\_aot_autograd\utils.py", line 124, in call_func_at_runtime_with_args
out = normalize_as_list(f(args))
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 667, in inner_fn
outs = compiled_fn(args)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 488, in wrapper
return compiled_fn(runtime_args)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_inductor\codecache.py", line 1478, in __call__
return self.current_callable(inputs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_inductor\utils.py", line 1977, in run
return model(new_inputs)
File "C:\Users\xxxx\AppData\Local\Temp\torchinductor_xxxx\y4\cy4yqndee3nsds74ej3e7cl543gagjosutkyucenvxc4gwol7jud.py", line 248, in call
triton_poi_fused__scaled_mm__to_copy_ones_2.run(arg3_1, buf3, 3072, grid=grid(3072), stream=stream0)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 879, in run
return launcher(
File "<string>", line 13, in launcher
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\triton\backends\nvidia\driver.py", line 408, in __call__
self.launch(*args, **kwargs)
ValueError: Pointer argument (at 0) cannot be accessed from Triton (cpu tensor?)
2025-02-21T12:45:41.682806 - Prompt executed in 5.66 seconds
2025-02-21T12:45:45.935993 - got prompt
2025-02-21T12:45:45.959802 - Requested to load Flux
2025-02-21T12:45:48.957616 - loaded partially 9443.495919891357 9443.495849609375 0
2025-02-21T12:45:48.961584 -
0%| | 0/20 [00:00<?, ?it/s]2025-02-21T12:45:48.967537 -
0%| | 0/20 [00:00<?, ?it/s]2025-02-21T12:45:48.968032 -
2025-02-21T12:45:48.985392 - !!! Exception during processing !!! Pointer argument (at 0) cannot be accessed from Triton (cpu tensor?)
2025-02-21T12:45:48.987872 - Traceback (most recent call last):
File "D:\SD\SM\Data\Packages\ComfyUI\execution.py", line 327, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "D:\SD\SM\Data\Packages\ComfyUI\execution.py", line 202, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI-0246\utils.py", line 353, in new_func
res_value = old_func(*final_args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\execution.py", line 174, in _map_node_over_list
process_inputs(input_dict, i)
File "D:\SD\SM\Data\Packages\ComfyUI\execution.py", line 163, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "D:\SD\SM\Data\Packages\ComfyUI\comfy_extras\nodes_custom_sampler.py", line 494, in sample
samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise_seed)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI-vectorscope-cc\callback_manager.py", line 49, in sample
return original_sample(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\sample.py", line 50, in sample_custom
samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 143, in sample
return orig_fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 1000, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 985, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 953, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 936, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 108, in KSAMPLER_sample
return orig_fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 34, in KSAMPLER_sample
return orig_fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 715, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\k_diffusion\sampling.py", line 161, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 379, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 916, in __call__
return self.predict_noise(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 919, in predict_noise
return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
File "D:\SD\SM\Data\Packages\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 183, in sampling_function
out = orig_fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 359, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 195, in calc_cond_batch
return executor.execute(model, conds, x_in, timestep, model_options)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\samplers.py", line 308, in _calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\model_base.py", line 132, in apply_model
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\model_base.py", line 163, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_dynamo\eval_frame.py", line 465, in _fn
return fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\ldm\flux\model.py", line 203, in forward
out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None))
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\ldm\flux\model.py", line 110, in forward_orig
vec = self.time_in(timestep_embedding(timesteps, 256).to(img.dtype))
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\comfy\ldm\flux\layers.py", line 57, in forward
def forward(self, x: Tensor) -> Tensor:
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_dynamo\eval_frame.py", line 632, in _fn
return fn(*args, **kwargs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\aot_autograd.py", line 1100, in forward
return compiled_fn(full_args)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 321, in runtime_wrapper
all_outs = call_func_at_runtime_with_args(
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\_aot_autograd\utils.py", line 124, in call_func_at_runtime_with_args
out = normalize_as_list(f(args))
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 667, in inner_fn
outs = compiled_fn(args)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 488, in wrapper
return compiled_fn(runtime_args)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_inductor\codecache.py", line 1478, in __call__
return self.current_callable(inputs)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_inductor\utils.py", line 1977, in run
return model(new_inputs)
File "C:\Users\xxxx\AppData\Local\Temp\torchinductor_xxxx\y4\cy4yqndee3nsds74ej3e7cl543gagjosutkyucenvxc4gwol7jud.py", line 248, in call
triton_poi_fused__scaled_mm__to_copy_ones_2.run(arg3_1, buf3, 3072, grid=grid(3072), stream=stream0)
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 879, in run
return launcher(
File "<string>", line 13, in launcher
File "D:\SD\SM\Data\Packages\ComfyUI\venv\lib\site-packages\triton\backends\nvidia\driver.py", line 408, in __call__
self.launch(*args, **kwargs)
ValueError: Pointer argument (at 0) cannot be accessed from Triton (cpu tensor?)
Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.
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Additional Context
(Please add any additional context or steps to reproduce the error here)
Environment details
Triton: v3.1.0-windows.post9
triton-3.1.0-cp310-cp310-win_amd64.whl
Compile node used: Wavespeed CompileModel+ (happens with other compile nodes also)
GPU: 4070 Super
Pytorch: 2.5.1 CU124 3.10