Cannot copy out of meta tensor; no data!

[jkla139]

==================================================================

运行以下命令，修改了 server_port=8192，share=False

python app/hydit_app.py

==================================================================

环境

sys.platform: linux Python: 3.8.12 (default, Oct 12 2021, 13:49:34) [GCC 7.5.0] CUDA available: True MUSA available: False numpy_random_seed: 2147483648 GPU 0: NVIDIA GeForce RTX 3090 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.8, V11.8.89 GCC: gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 PyTorch: 1.13.1 PyTorch compiling details: PyTorch built with:

• GCC 9.3
• C++ Version: 201402
• Intel(R) oneAPI Math Kernel Library Version 2022.1-Product Build 20220311 for Intel(R) 64 architecture applications
• Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• LAPACK is enabled (usually provided by MKL)
• NNPACK is enabled
• CPU capability usage: AVX2
• CUDA Runtime 11.7
• NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
• CuDNN 8.5
• Magma 2.6.1
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.14.1+cu117

==================================================================

错误

Traceback (most recent call last): File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/gradio/route_utils.py", line 270, in call_process_api output = await app.get_blocks().process_api( File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/gradio/blocks.py", line 1887, in process_api result = await self.call_function( File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/gradio/blocks.py", line 1472, in call_function prediction = await anyio.to_thread.run_sync( File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, args) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/gradio/utils.py", line 808, in wrapper response = f(args, kwargs) File "app/hydit_app.py", line 42, in infer success, enhanced_prompt = enhancer(prompt) File "/root/autodl-tmp/HunyuanDiT/./dialoggen/dialoggen_demo.py", line 145, in call enhanced_prompt = eval_model( File "/root/autodl-tmp/HunyuanDiT/./dialoggen/dialoggen_demo.py", line 113, in eval_model output_ids = models["model"].generate( File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, *kwargs) File "/root/autodl-tmp/HunyuanDiT/dialoggen/llava/model/language_model/llava_mistral.py", line 125, in generate ) = self.prepare_inputs_labels_for_multimodal( File "/root/autodl-tmp/HunyuanDiT/dialoggen/llava/model/llava_arch.py", line 157, in prepare_inputs_labels_for_multimodal image_features = self.encode_images(concat_images) File "/root/autodl-tmp/HunyuanDiT/dialoggen/llava/model/llava_arch.py", line 141, in encode_images image_features = self.get_model().get_vision_tower()(images) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl return forward_call(input, kwargs) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/accelerate/hooks.py", line 166, in new_forward output = module._old_forward(*args, kwargs) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, *kwargs) File "/root/autodl-tmp/HunyuanDiT/dialoggen/llava/model/multimodal_encoder/clip_encoder.py", line 54, in forward image_forward_outs = self.vision_tower(images.to(device=self.device, dtype=self.dtype), output_hidden_states=True) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl return forward_call(input, kwargs) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/accelerate/hooks.py", line 161, in new_forward args, kwargs = module._hf_hook.pre_forward(module, *args, **kwargs) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/accelerate/hooks.py", line 356, in pre_forward return send_to_device(args, self.execution_device), send_to_device( File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/accelerate/utils/operations.py", line 180, in send_to_device return honor_type( File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/accelerate/utils/operations.py", line 81, in honor_type return type(obj)(generator) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/accelerate/utils/operations.py", line 181, in tensor, (send_to_device(t, device, non_blocking=non_blocking, skip_keys=skip_keys) for t in tensor) File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/accelerate/utils/operations.py", line 174, in send_to_device raise error File "/root/miniconda3/envs/HunyuanDiT/lib/python3.8/site-packages/accelerate/utils/operations.py", line 158, in send_to_device return tensor.to(device, non_blocking=non_blocking) NotImplementedError: Cannot copy out of meta tensor; no data!

[yestinl]

This issue appears to be the same as issue https://github.com/Tencent/HunyuanDiT/issues/37. We will close this issue for now. If there are further questions, feel free to reopen it.