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onediff-0.13.0.dev202403200123
version: 0.9.1.dev20240319+cu118 git_commit: a130148 cmake_build_type: Release rdma: True mlir: True
我在这个模型上尝试了编译repo.该模型也是基于diffusion方法 unet迭代生成图像的。转换时成功的,但在编译静态图时出现了无效输入参数的问题:
[ERROR](GRAPH:OneflowGraph_0:OneflowGraph) building graph got error. 2024-03-21 05:53:54,210 [ERROR] with_oneflow_compile.py:187 - Exception in __call__: e=TypeError('\x1b[1m\x1b[38;2;255;000;000mError\x1b[0m: less(): received an invalid combination of arguments. The valid signatures are:\n\t*0: Tensor (Tensor input, Tensor other)\n\t*1: Tensor (Tensor input, Scalar other)\n\t*2: Tensor (Scalar input, Tensor other)\n') 2024-03-21 05:53:54,210 [WARNING] with_oneflow_compile.py:188 - Recompile oneflow module ... 2024-03-21 05:53:54,210 [DEBUG] with_oneflow_compile.py:34 - Convert <class 'models.unet_autoenc.BeatGANsAutoencModel'> ... 2024-03-21 05:53:56,086 [DEBUG] with_oneflow_compile.py:36 - Convert <class 'models.unet_autoenc.BeatGANsAutoencModel'> done! 2024-03-21 05:53:56,122 [INFO] with_oneflow_compile.py:336 - Building a graph for <class 'models.unet_autoenc.BeatGANsAutoencModel'> ... [ERROR](GRAPH:OneflowGraph_1:OneflowGraph) building graph got error. 2024-03-21 05:53:56,159 [INFO] core.py:570 - virtual tryon: :-: 6.81 Traceback (most recent call last): File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/with_oneflow_compile.py", line 185, in wrapper return func(self, *args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/utils/graph_management_utils.py", line 82, in wrapper ret = func(self, *args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/with_oneflow_compile.py", line 272, in __call__ output = dpl_graph(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 281, in __call__ return self._dynamic_input_graph_cache(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/cache.py", line 115, in __call__ return graph(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 284, in __call__ self._compile(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 852, in _compile return self._compile_new(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 871, in _compile_new _, eager_outputs = self.build_graph(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 1374, in build_graph outputs = self.__build_graph(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 1491, in __build_graph outputs = self.build(*lazy_args, **lazy_kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/with_oneflow_compile.py", line 341, in build return self.model(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/proxy.py", line 186, in __call__ result = self.__block_forward(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/proxy.py", line 236, in __block_forward result = unbound_forward_of_module_instance(self, *args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/tryon/VirtualTryon/models/unet_autoenc.py", line 158, in forward cond_mask = prob_mask_like((x.shape[0],), prob = prob, device = x.device) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/tryon/VirtualTryon/models/unet_autoenc.py", line 17, in prob_mask_like return torch.zeros(shape, device = device).float().uniform_(0, 1) < prob TypeError: Error: less(): received an invalid combination of arguments. The valid signatures are: *0: Tensor (Tensor input, Tensor other) *1: Tensor (Tensor input, Scalar other) *2: Tensor (Scalar input, Tensor other) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/cog/server/worker.py", line 221, in _predict result = predict(**payload) File "/media/74nvme/research/tryon/predict.py", line 337, in predict sr_try, mask_nd_by, hair_nd, input_try, output_try, person_ary, portrait_mask = self.process(data, cloth_path, mote_params, gender, File "/media/74nvme/research/tryon/predict.py", line 190, in process rst = self.ArcVTO.generate(mode=t_model, random_seed=-1) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/tryon/VirtualTryon.py", line 178, in generate rst = model.predict(garmentIn, personIn, poseIn, sample_algorithm=sample_algorithm, cond_scale=cond_scale, noise=noise, nsteps=num_steps) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/tryon/VirtualTryon/predict.py", line 56, in predict xs, x0_preds = ddim_steps(noise, seq, self.model, self.betas.cuda(), [src, tgt_pose], cond_scale = cond_scale) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/tryon/VirtualTryon/diffusion.py", line 36, in ddim_steps et = model.forward_with_cond_scale(x = torch.cat([xt, target_pose],1), t = t, cond = cond, cond_scale = cond_scale)[0] File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/tryon/VirtualTryon/models/unet_autoenc.py", line 123, in forward_with_cond_scale logits = self.__call__(x, t, cond=cond, prob = 1) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/utils/args_tree_util.py", line 50, in wrapper output = func(self, *mapped_args, **mapped_kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/with_oneflow_compile.py", line 191, in wrapper return func(self, *args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/utils/graph_management_utils.py", line 82, in wrapper ret = func(self, *args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/with_oneflow_compile.py", line 272, in __call__ output = dpl_graph(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 281, in __call__ return self._dynamic_input_graph_cache(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/cache.py", line 115, in __call__ return graph(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 284, in __call__ self._compile(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 852, in _compile return self._compile_new(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 871, in _compile_new _, eager_outputs = self.build_graph(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 1374, in build_graph outputs = self.__build_graph(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/graph.py", line 1491, in __build_graph outputs = self.build(*lazy_args, **lazy_kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/onediff/infer_compiler/with_oneflow_compile.py", line 341, in build return self.model(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/proxy.py", line 186, in __call__ result = self.__block_forward(*args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/oneflow/nn/graph/proxy.py", line 236, in __block_forward result = unbound_forward_of_module_instance(self, *args, **kwargs) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/tryon/VirtualTryon/models/unet_autoenc.py", line 158, in forward cond_mask = prob_mask_like((x.shape[0],), prob = prob, device = x.device) File "/media/74nvme/software/miniconda3/envs/stable-fast/lib/python3.10/site-packages/tryon/VirtualTryon/models/unet_autoenc.py", line 17, in prob_mask_like return torch.zeros(shape, device = device).float().uniform_(0, 1) < prob TypeError: Error: less(): received an invalid combination of arguments. The valid signatures are: *0: Tensor (Tensor input, Tensor other) *1: Tensor (Tensor input, Scalar other) *2: Tensor (Scalar input, Tensor other)```
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Describe the bug
A clear and concise description of what the bug is.
Your environment
ubuntu 20.04
OneDiff git commit id
onediff-0.13.0.dev202403200123
OneFlow version info
version: 0.9.1.dev20240319+cu118
git_commit: a130148
cmake_build_type: Release
rdma: True
mlir: True
How To Reproduce
我在这个模型上尝试了编译repo.该模型也是基于diffusion方法 unet迭代生成图像的。转换时成功的,但在编译静态图时出现了无效输入参数的问题:
The text was updated successfully, but these errors were encountered: