[Bug] ERROR - create_process - 82 - visualize ncnn model failed.
360Ibra opened this issue · comments
Checklist
- I have searched related issues but cannot get the expected help.
- 2. I have read the FAQ documentation but cannot get the expected help.
- 3. The bug has not been fixed in the latest version.
Describe the bug
I'm encountering a ValueError during the deployment process of my RTMPOSE model on GitHub. The error message specifically mentions 'not enough values to unpack (expected 2, got 1).' Despite searching for similar issues, I haven't found a solution. I would greatly appreciate assistance from anyone who can help me resolve this issue.
Reproduction
python ./tools/deploy.py
/home/ibrahim/mmdeploy/configs/mmpose/pose-detection_ncnn_static-256x192.py
/home/ibrahim/mmpose/work_dirs/rtmpose-t_8xb256-420e_coco-256x192/rtmpose-t_8xb256-420e_coco-256x192.py
/home/ibrahim/mmpose/work_dirs/rtmpose-t_8xb256-420e_coco-256x192/epoch_1_publish-de0cee58_20240126.pth
/home/ibrahim/Pictures/demo.jpg
--test-img /home/ibrahim/Pictures/demo.jpg
--work-dir /home/ibrahim/mmpose/work_dirs
--device cuda:0
--log-level INFO
--show
--dump-info
Environment
01/26 20:04:04 - mmengine - INFO -
01/26 20:04:04 - mmengine - INFO - **********Environmental information**********
01/26 20:04:05 - mmengine - INFO - sys.platform: linux
01/26 20:04:05 - mmengine - INFO - Python: 3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0]
01/26 20:04:05 - mmengine - INFO - CUDA available: True
01/26 20:04:05 - mmengine - INFO - MUSA available: False
01/26 20:04:05 - mmengine - INFO - numpy_random_seed: 2147483648
01/26 20:04:05 - mmengine - INFO - GPU 0: NVIDIA GeForce RTX 3060 Ti
01/26 20:04:05 - mmengine - INFO - CUDA_HOME: None
01/26 20:04:05 - mmengine - INFO - GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
01/26 20:04:05 - mmengine - INFO - PyTorch: 2.1.2
01/26 20:04:05 - mmengine - INFO - PyTorch compiling details: PyTorch built with:
- GCC 9.3
- C++ Version: 201703
- Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.8
- NVCC architecture flags: -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=sm_37;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_37,code=compute_37
- CuDNN 8.7
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -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_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.1.2, 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,
01/26 20:04:05 - mmengine - INFO - TorchVision: 0.16.2
01/26 20:04:05 - mmengine - INFO - OpenCV: 4.9.0
01/26 20:04:05 - mmengine - INFO - MMEngine: 0.10.3
01/26 20:04:05 - mmengine - INFO - MMCV: 2.1.0
01/26 20:04:05 - mmengine - INFO - MMCV Compiler: GCC 9.3
01/26 20:04:05 - mmengine - INFO - MMCV CUDA Compiler: 11.8
01/26 20:04:05 - mmengine - INFO - MMDeploy: 1.3.1+bc75c9d
01/26 20:04:05 - mmengine - INFO -
01/26 20:04:05 - mmengine - INFO - **********Backend information**********
01/26 20:04:05 - mmengine - INFO - tensorrt: None
01/26 20:04:05 - mmengine - INFO - ONNXRuntime: 1.8.1
01/26 20:04:05 - mmengine - INFO - ONNXRuntime-gpu: 1.8.1
01/26 20:04:05 - mmengine - INFO - ONNXRuntime custom ops: NotAvailable
01/26 20:04:05 - mmengine - INFO - pplnn: None
01/26 20:04:05 - mmengine - INFO - ncnn: 1.0.20240126
01/26 20:04:05 - mmengine - INFO - ncnn custom ops: Available
01/26 20:04:05 - mmengine - INFO - snpe: None
01/26 20:04:05 - mmengine - INFO - openvino: None
01/26 20:04:05 - mmengine - INFO - torchscript: 2.1.2
01/26 20:04:05 - mmengine - INFO - torchscript custom ops: NotAvailable
01/26 20:04:05 - mmengine - INFO - rknn-toolkit: None
01/26 20:04:05 - mmengine - INFO - rknn-toolkit2: None
01/26 20:04:05 - mmengine - INFO - ascend: None
01/26 20:04:05 - mmengine - INFO - coreml: None
01/26 20:04:05 - mmengine - INFO - tvm: None
01/26 20:04:05 - mmengine - INFO - vacc: None
01/26 20:04:05 - mmengine - INFO -
01/26 20:04:05 - mmengine - INFO - **********Codebase information**********
01/26 20:04:05 - mmengine - INFO - mmdet: 3.2.0
01/26 20:04:05 - mmengine - INFO - mmseg: None
01/26 20:04:05 - mmengine - INFO - mmpretrain: None
01/26 20:04:05 - mmengine - INFO - mmocr: None
01/26 20:04:05 - mmengine - INFO - mmagic: None
01/26 20:04:05 - mmengine - INFO - mmdet3d: None
01/26 20:04:05 - mmengine - INFO - mmpose: 1.3.1
01/26 20:04:05 - mmengine - INFO - mmrotate: None
01/26 20:04:05 - mmengine - INFO - mmaction: None
01/26 20:04:05 - mmengine - INFO - mmrazor: None
01/26 20:04:05 - mmengine - INFO - mmyolo: NoneError traceback
01/26 20:00:10 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "Codebases" registry tree. As a workaround, the current "Codebases" registry in "mmdeploy" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized.
01/26 20:00:10 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "mmpose_tasks" registry tree. As a workaround, the current "mmpose_tasks" registry in "mmdeploy" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized.
01/26 20:00:12 - mmengine - INFO - Start pipeline mmdeploy.apis.pytorch2onnx.torch2onnx in subprocess
01/26 20:00:14 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "Codebases" registry tree. As a workaround, the current "Codebases" registry in "mmdeploy" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized.
01/26 20:00:14 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "mmpose_tasks" registry tree. As a workaround, the current "mmpose_tasks" registry in "mmdeploy" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized.
Loads checkpoint by local backend from path: /home/ibrahim/mmpose/work_dirs/rtmconfig/epoch_2_publish-eee7d426_20240125.pth
/home/ibrahim/mmpose/mmpose/datasets/datasets/utils.py:102: UserWarning: The metainfo config file "configs/_base_/datasets/mpii.py" does not exist. A matched config file "/home/ibrahim/mmpose/mmpose/.mim/configs/_base_/datasets/mpii.py" will be used instead.
warnings.warn(
01/26 20:00:14 - mmengine - WARNING - DeprecationWarning: get_onnx_config will be deprecated in the future.
01/26 20:00:14 - mmengine - INFO - Export PyTorch model to ONNX: /home/ibrahim/mmpose/work_dirs/end2end.onnx.
01/26 20:00:14 - mmengine - WARNING - Can not find mmdet.models.dense_heads.RPNHead.get_bboxes, function rewrite will not be applied
/home/ibrahim/mmdeploy/mmdeploy/pytorch/functions/size.py:23: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
ret = [int(r) for r in ret]
/home/ibrahim/mmdeploy/mmdeploy/pytorch/functions/getattribute.py:19: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
ret = torch.Size([int(s) for s in ret])
[W shape_type_inference.cpp:1974] Warning: The shape inference of mmdeploy::AdaptiveAvgPool2d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable)
[W shape_type_inference.cpp:1974] Warning: The shape inference of mmdeploy::AdaptiveAvgPool2d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable)
[W shape_type_inference.cpp:1974] Warning: The shape inference of mmdeploy::AdaptiveAvgPool2d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable)
[W shape_type_inference.cpp:1974] Warning: The shape inference of mmdeploy::AdaptiveAvgPool2d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable)
01/26 20:00:23 - mmengine - INFO - Finish pipeline mmdeploy.apis.pytorch2onnx.torch2onnx
01/26 20:00:23 - mmengine - INFO - Start pipeline mmdeploy.apis.utils.utils.to_backend in main process
onnx2ncnn finish
01/26 20:00:24 - mmengine - INFO - Finish pipeline mmdeploy.apis.utils.utils.to_backend
01/26 20:00:24 - mmengine - INFO - visualize ncnn model start.
01/26 20:00:27 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "Codebases" registry tree. As a workaround, the current "Codebases" registry in "mmdeploy" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized.
01/26 20:00:27 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "mmpose_tasks" registry tree. As a workaround, the current "mmpose_tasks" registry in "mmdeploy" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized.
01/26 20:00:27 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "backend_segmentors" registry tree. As a workaround, the current "backend_segmentors" registry in "mmdeploy" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized.
/home/ibrahim/mmpose/mmpose/datasets/datasets/utils.py:102: UserWarning: The metainfo config file "configs/_base_/datasets/mpii.py" does not exist. A matched config file "/home/ibrahim/mmpose/mmpose/.mim/configs/_base_/datasets/mpii.py" will be used instead.
warnings.warn(
output
2024-01-26:20:00:27 - root - ERROR - not enough values to unpack (expected 2, got 1)
Traceback (most recent call last):
File "/home/ibrahim/mmdeploy/mmdeploy/utils/utils.py", line 41, in target_wrapper
result = target(*args, **kwargs)
File "/home/ibrahim/mmdeploy/mmdeploy/apis/visualize.py", line 72, in visualize_model
result = model.test_step(model_inputs)[0]
File "/home/ibrahim/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/model/base_model/base_model.py", line 145, in test_step
return self._run_forward(data, mode='predict') # type: ignore
File "/home/ibrahim/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/model/base_model/base_model.py", line 361, in _run_forward
results = self(**data, mode=mode)
File "/home/ibrahim/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ibrahim/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ibrahim/mmdeploy/mmdeploy/codebase/mmpose/deploy/pose_detection_model.py", line 122, in forward
batch_pred_x, batch_pred_y = batch_outputs
ValueError: not enough values to unpack (expected 2, got 1)
01/26 20:00:27 - mmengine - ERROR - ./tools/deploy.py - create_process - 82 - visualize ncnn model failed.