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AttributeError: module 'mmcv' has no attribute 'Config'[Bug] #1781

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anshkumar opened this issue Feb 18, 2023 · 15 comments
Open
3 tasks done

AttributeError: module 'mmcv' has no attribute 'Config'[Bug] #1781

anshkumar opened this issue Feb 18, 2023 · 15 comments
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@hanrui1sensetime
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mmdet

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@anshkumar
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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 trying to export a model to TensorRT using following command:

export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/home/sorter/TensorRT-8.4.1.5/lib:/home/sorter/onnxruntime-linux-x64-1.8.1/lib
export PYTHONPATH=${PYTHONPATH}:/home/sorter/mmdeploy

python /home/sorter/mmdeploy/tools/deploy.py \
    'instance-seg_tensorrt-int8_static.py' \
    'rtmdet-ins_tiny_config.py' \
    'rtmdet-ins_tiny/epoch_300.pth' \
    'data/val/images/970000000001.0.jpg' \
    --test-img 'data/val/images/21.jpg' \
    --work-dir 'rtmdet_export/' \
    --log-level DEBUG\
    --show \
    --device cuda:0 \

But getting following error:

Traceback (most recent call last):
  File "/home/sorter/mmdeploy/tools/deploy.py", line 12, in <module>
    from mmdeploy.apis import (create_calib_input_data, extract_model,
  File "/home/sorter/mmdeploy/mmdeploy/__init__.py", line 4, in <module>
    from mmdeploy.utils import get_root_logger
  File "/home/sorter/mmdeploy/mmdeploy/utils/__init__.py", line 18, in <module>
    from .config_utils import (cfg_apply_marks, get_backend,
  File "/home/sorter/mmdeploy/mmdeploy/utils/config_utils.py", line 10, in <module>
    def load_config(*args) -> List[mmcv.Config]:
AttributeError: module 'mmcv' has no attribute 'Config'

Following instructions griven here.
mmcv=2.0.0rc2

Reproduction

go to the mmdeploy folder

cd ${PATH_TO_MMDEPLOY}

download RTMDet-s checkpoint

wget -P checkpoint https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet_s_8xb32-300e_coco/rtmdet_s_8xb32-300e_coco_20220905_161602-387a891e.pth

run the command to start model conversion

python tools/deploy.py
configs/mmdet/detection/detection_tensorrt_static-640x640.py
${PATH_TO_MMDET}/configs/rtmdet/rtmdet_s_8xb32-300e_coco.py
checkpoint/rtmdet_s_8xb32-300e_coco_20220905_161602-387a891e.pth
demo/resources/det.jpg
--work-dir ./work_dirs/rtmdet
--device cuda:0
--show

Environment

Traceback (most recent call last):
  File "tools/check_env.py", line 4, in <module>
    from mmcv.utils import get_git_hash
ImportError: cannot import name 'get_git_hash' from 'mmcv.utils' (/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmcv/utils/__init__.py)

Error traceback

No response
@lvhan028 lvhan028 added the mmdet label Feb 21, 2023
@hanrui1sensetime
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Hi, @anshkumar: what is your mmdeploy version?

import mmdeploy
print(mmdeploy.__version__)

Your mmdeploy version should be started as v1.0.0

@anshkumar
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I'm getting following error with import mmdeploy

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/sort/mmdeploy/mmdeploy/__init__.py", line 4, in <module>
    from mmdeploy.utils import get_root_logger
  File "/home/sort/mmdeploy/mmdeploy/utils/__init__.py", line 18, in <module>
    from .config_utils import (cfg_apply_marks, get_backend,
  File "/home/sort/mmdeploy/mmdeploy/utils/config_utils.py", line 10, in <module>
    def load_config(*args) -> List[mmcv.Config]:
AttributeError: module 'mmcv' has no attribute 'Config'

@hanrui1sensetime
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I'm getting following error with import mmdeploy

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/sort/mmdeploy/mmdeploy/__init__.py", line 4, in <module>
    from mmdeploy.utils import get_root_logger
  File "/home/sort/mmdeploy/mmdeploy/utils/__init__.py", line 18, in <module>
    from .config_utils import (cfg_apply_marks, get_backend,
  File "/home/sort/mmdeploy/mmdeploy/utils/config_utils.py", line 10, in <module>
    def load_config(*args) -> List[mmcv.Config]:
AttributeError: module 'mmcv' has no attribute 'Config'

You can check the content in /home/sort/mmdeploy/mmdeploy/version.py the __version__ must be started as v1.0.0

@anshkumar
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I was using master branch. Switched to remotes/origin/1.x branch now. Now getting following error:

/home/sorter/mmdetection/mmdet/models/dense_heads/rtmdet_ins_head.py:559: TracerWarning: Converting a tensor to a Python boolean 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!
  if num_inst < 1:
Process Process-2:
Traceback (most recent call last):
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap
    self.run()
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 107, in __call__
    ret = func(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/pytorch2onnx.py", line 96, in torch2onnx
    export(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 356, in _wrap
    return self.call_function(func_name_, *args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 326, in call_function
    return self.call_function_local(func_name, *args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 275, in call_function_local
    return pipe_caller(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 107, in __call__
    ret = func(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/onnx/export.py", line 122, in export
    torch.onnx.export(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 504, in export
    _export(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 1529, in _export
    graph, params_dict, torch_out = _model_to_graph(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/core/rewriters/rewriter_utils.py", line 379, in wrapper
    return self.func(self, *args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/onnx/optimizer.py", line 10, in model_to_graph__custom_optimizer
    graph, params_dict, torch_out = ctx.origin_func(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 1111, in _model_to_graph
    graph, params, torch_out, module = _create_jit_graph(model, args)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 987, in _create_jit_graph
    graph, torch_out = _trace_and_get_graph_from_model(model, args)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 891, in _trace_and_get_graph_from_model
    trace_graph, torch_out, inputs_states = torch.jit._get_trace_graph(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/jit/_trace.py", line 1184, in _get_trace_graph
    outs = ONNXTracedModule(f, strict, _force_outplace, return_inputs, _return_inputs_states)(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/jit/_trace.py", line 127, in forward
    graph, out = torch._C._create_graph_by_tracing(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/jit/_trace.py", line 121, in wrapper
    out_vars, _ = _flatten(outs)
RuntimeError: Only tuples, lists and Variables are supported as JIT inputs/outputs. Dictionaries and strings are also accepted, but their usage is not recommended. Here, received an input of unsupported type: InstanceData
03/01 11:07:24 - mmengine - ERROR - /home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py - pop_mp_output - 80 - `mmdeploy.apis.pytorch2onnx.torch2onnx` with Call id: 0 failed. exit.

@hanrui1sensetime
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I was using master branch. Switched to remotes/origin/1.x branch now. Now getting following error:

/home/sorter/mmdetection/mmdet/models/dense_heads/rtmdet_ins_head.py:559: TracerWarning: Converting a tensor to a Python boolean 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!
  if num_inst < 1:
Process Process-2:
Traceback (most recent call last):
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap
    self.run()
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 107, in __call__
    ret = func(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/pytorch2onnx.py", line 96, in torch2onnx
    export(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 356, in _wrap
    return self.call_function(func_name_, *args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 326, in call_function
    return self.call_function_local(func_name, *args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 275, in call_function_local
    return pipe_caller(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py", line 107, in __call__
    ret = func(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/onnx/export.py", line 122, in export
    torch.onnx.export(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 504, in export
    _export(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 1529, in _export
    graph, params_dict, torch_out = _model_to_graph(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/core/rewriters/rewriter_utils.py", line 379, in wrapper
    return self.func(self, *args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/onnx/optimizer.py", line 10, in model_to_graph__custom_optimizer
    graph, params_dict, torch_out = ctx.origin_func(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 1111, in _model_to_graph
    graph, params, torch_out, module = _create_jit_graph(model, args)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 987, in _create_jit_graph
    graph, torch_out = _trace_and_get_graph_from_model(model, args)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/onnx/utils.py", line 891, in _trace_and_get_graph_from_model
    trace_graph, torch_out, inputs_states = torch.jit._get_trace_graph(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/jit/_trace.py", line 1184, in _get_trace_graph
    outs = ONNXTracedModule(f, strict, _force_outplace, return_inputs, _return_inputs_states)(*args, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/jit/_trace.py", line 127, in forward
    graph, out = torch._C._create_graph_by_tracing(
  File "/home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/torch/jit/_trace.py", line 121, in wrapper
    out_vars, _ = _flatten(outs)
RuntimeError: Only tuples, lists and Variables are supported as JIT inputs/outputs. Dictionaries and strings are also accepted, but their usage is not recommended. Here, received an input of unsupported type: InstanceData
03/01 11:07:24 - mmengine - ERROR - /home/sorter/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmdeploy/apis/core/pipeline_manager.py - pop_mp_output - 80 - `mmdeploy.apis.pytorch2onnx.torch2onnx` with Call id: 0 failed. exit.

Seems the rewriter of RTMDet-ins doesn't work, please check your mmdet version. It is better to check the mmdet branch to the latest.

@anshkumar
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Using branch 3.x and using latest pull.

@hanrui1sensetime
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Using branch 3.x and using latest pull.
You can add a breakpoint at here to check whether the code execute into the rtmdet-ins head.

@jediofgever
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I am facing the same issue

@hhswgww
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hhswgww commented Apr 20, 2023

i am facing the same issue
image
image

@hhswgww
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hhswgww commented Apr 20, 2023 •
edited

@hanrui1sensetime
it seems that mmcv-2 series made some changes to the definition of mmcv member variables? Where can I see the modified usage method or instructions about the modification
image

@hhswgww
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hhswgww commented Apr 20, 2023

in https://mmcv.readthedocs.io/zh_CN/latest/compatibility.html ,可以看到
mmcv.utils 的所有类（例如 Config 和 Registry）和大部分函数，删除于 PR #2217，只保留少数和 mmcv 相关的函数;大部分相关函数被移入到mmengine中了
so，you can try:

# import mmcv 
# mmcv.Config
import mmengine
mmengine.Config

@sammilei
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in https://mmcv.readthedocs.io/zh_CN/latest/compatibility.html ,可以看到 mmcv.utils 的所有类（例如 Config 和 Registry）和大部分函数，删除于 PR #2217，只保留少数和 mmcv 相关的函数;大部分相关函数被移入到mmengine中了 so，you can try:

# import mmcv 
# mmcv.Config
import mmengine
mmengine.Config

It worked! Thanks!
I am on mmdeploy==0.2.0 and mmcv==2.0.0. I replaced all mmcv in .local/lib/python3.8/site-packages/mmdeploy/utils/config_utils.py with mmengine since the imported mmcv is for mmcv.Config. The error is gone.

@bedbad
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bedbad commented May 26, 2023 

>>> import mmdeploy
print(mmdeploy.__version__)
>>> print(mmdeploy.__version__)
1.1.0

Still facing the same problem,
Applie M1, pip package mmdeploy

@sailing-innocent sailing-innocent mentioned this issue Jun 16, 2023
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@bobo0810
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Source code installation, successful installation of the latest version 1.2.0

pip can only be installed to 0.x

git clone https://github.com/open-mmlab/mmdeploy.git
cd mmdeploy
pip install -U openmim && mim install -e .

@bedbad
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bedbad commented Aug 25, 2023

I need to install it through pip, because we are using it as hermetic dependency through bazel.

@bobo0810 bobo0810 mentioned this issue Aug 25, 2023
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@lvhan028 @anshkumar @sammilei @jediofgever @bedbad @bobo0810 @hhswgww @hanrui1sensetime