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December 6, 2023 01:32
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hip error rocm 5.7.1 gentoo repos
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| MIOpen(HIP): Error [Do] 'amd_comgr_do_action(kind, handle, in.GetHandle(), out.GetHandle())' AMD_COMGR_ACTION_ASSEMBLE_SOURCE_TO_RELOCATABLE: ERROR (1) | |
| MIOpen(HIP): Error [BuildAsm] comgr status = ERROR (1) | |
| MIOpen(HIP): Warning [BuildAsm] warning: argument unused during compilation: '-fno-stack-protector' [-Wunused-command-line-argument] | |
| warning: argument unused during compilation: '-nogpulib' [-Wunused-command-line-argument] | |
| error: unknown target triple 'unknown' | |
| MIOpen Error: /var/tmp/portage/sci-libs/miopen-5.7.1-r1/work/MIOpen-rocm-5.7.1/src/hipoc/hipoc_program.cpp:304: Code object build failed. Source: Conv_Winograd_v30_2_6_fp16_dot2_f2x3_stride1.s | |
| 0%| | 0/20 [00:00<?, ?it/s] | |
| *** Error completing request | |
| *** Arguments: ('task(j1jqtf5j6fag04j)', '', '', [], 20, 'Euler a', 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], <gradio.routes.Request object at 0x7f6510d336d0>, 0, False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False) {} | |
| Traceback (most recent call last): | |
| File "/home/pppig/deeplearning/SD/modules/call_queue.py", line 57, in f | |
| res = list(func(*args, **kwargs)) | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/call_queue.py", line 36, in f | |
| res = func(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/txt2img.py", line 55, in txt2img | |
| processed = processing.process_images(p) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/processing.py", line 734, in process_images | |
| res = process_images_inner(p) | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/processing.py", line 868, in process_images_inner | |
| samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/processing.py", line 1142, in sample | |
| samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/sd_samplers_kdiffusion.py", line 235, in sample | |
| samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/sd_samplers_common.py", line 261, in launch_sampling | |
| return func() | |
| ^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/sd_samplers_kdiffusion.py", line 235, in <lambda> | |
| samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context | |
| return func(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/repositories/k-diffusion/k_diffusion/sampling.py", line 145, in sample_euler_ancestral | |
| denoised = model(x, sigmas[i] * s_in, **extra_args) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/sd_samplers_cfg_denoiser.py", line 169, in forward | |
| x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/repositories/k-diffusion/k_diffusion/external.py", line 112, in forward | |
| eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps | |
| return self.inner_model.apply_model(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/sd_hijack_utils.py", line 17, in <lambda> | |
| setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs)) | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/sd_hijack_utils.py", line 28, in __call__ | |
| return self.__orig_func(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 858, in apply_model | |
| x_recon = self.model(x_noisy, t, **cond) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1335, in forward | |
| out = self.diffusion_model(x, t, context=cc) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/modules/sd_unet.py", line 91, in UNetModel_forward | |
| return original_forward(self, x, timesteps, context, *args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 797, in forward | |
| h = module(h, emb, context) | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 86, in forward | |
| x = layer(x) | |
| ^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/pppig/deeplearning/SD/extensions-builtin/Lora/networks.py", line 500, in network_Conv2d_forward | |
| return originals.Conv2d_forward(self, input) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 463, in forward | |
| return self._conv_forward(input, self.weight, self.bias) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/usr/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 459, in _conv_forward | |
| return F.conv2d(input, weight, bias, self.stride, | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| RuntimeError: miopenStatusUnknownError |
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