[Bug] Missing wanbd hook in v1.x.x

[robin-maillot]

Branch

master branch (0.24 or other 0.x version)

Describe the bug

After some issues with the v0.x.x I was recommended to move to v1.x.x . !1259

After finishing migrating all the configs I'm now hitting a wall with wanbd, I cannot figure out the equivalent to :

        dict(
            type="WandbLoggerHook",
            init_kwargs={
                "project": "mmcls",
                "name": "will-be-added-by-train-script",
            },
            interval=100,
            log_checkpoint=False,
            log_checkpoint_metadata=False,
            num_eval_images=100,
        ),

in the new version. Has WandbLoggerHook been removed?

The error I get is :

KeyError: 'WandbLoggerHook is not in the hook registry. Please check whether the value of `WandbLoggerHook` is correct or it was registered as expected. More details can be found at https://mmengine.readthedocs.io/en/latest/tutorials/config.html#import-custom-python-modules'

Any help would be much appreciated.

Environment

{'sys.platform': 'linux',
 'Python': '3.8.15 (default, Oct 12 2022, 19:15:16) [GCC 11.2.0]',
 'CUDA available': True,
 'numpy_random_seed': 2147483648,
 'GPU 0': 'NVIDIA GeForce RTX 3060 Laptop GPU',
 'CUDA_HOME': None,
 'GCC': 'x86_64-linux-gnu-gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0',
 'PyTorch': '1.11.0+cu113',
 'PyTorch compiling details': 'PyTorch built with:\n'
                              '  - GCC 7.3\n'
                              '  - C++ Version: 201402\n'
                              '  - Intel(R) Math Kernel Library Version '
                              '2020.0.0 Product Build 20191122 for Intel(R) 64 '
                              'architecture applications\n'
                              '  - Intel(R) MKL-DNN v2.5.2 (Git Hash '
                              'a9302535553c73243c632ad3c4c80beec3d19a1e)\n'
                              '  - OpenMP 201511 (a.k.a. OpenMP 4.5)\n'
                              '  - LAPACK is enabled (usually provided by '
                              'MKL)\n'
                              '  - NNPACK is enabled\n'
                              '  - CPU capability usage: AVX2\n'
                              '  - CUDA Runtime 11.3\n'
                              '  - 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_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\n'
                              '  - CuDNN 8.2\n'
                              '  - Magma 2.5.2\n'
                              '  - Build settings: BLAS_INFO=mkl, '
                              'BUILD_TYPE=Release, CUDA_VERSION=11.3, '
                              'CUDNN_VERSION=8.2.0, '
                              'CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, '
                              'CXX_FLAGS= -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 '
                              '-Wno-missing-field-initializers '
                              '-Wno-type-limits -Wno-array-bounds '
                              '-Wno-unknown-pragmas -Wno-sign-compare '
                              '-Wno-unused-parameter -Wno-unused-function '
                              '-Wno-unused-result -Wno-unused-local-typedefs '
                              '-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 '
                              '-Wno-stringop-overflow, LAPACK_INFO=mkl, '
                              'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, '
                              'PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, '
                              'USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, '
                              'USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, '
                              'USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, '
                              'USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n',
 'TorchVision': '0.12.0+cu113',
 'OpenCV': '4.6.0',
 'MMEngine': '0.3.2',
 'MMClassification': '1.0.0rc4+c9d87cb'}

Other information

No response

[ssumoo]

hi, we found a solution to this. In case anyone runs into the same issue. The logging is now moved into the vis_backends, as the new mmcls + mmengine approaches logging as having one logger with multiple visualization backends rather than multiple loggers.

In short, add this to the config instead:

visualizer = dict(
    type="ClsVisualizer",
    vis_backends=[
        dict(type="LocalVisBackend"),  # local HDD backend
        dict(
            type="WandbVisBackend",
            init_kwargs={
                "project": "mmcls",
                "name": "will-be-added-by-train-script",
            },
        ),
    ],
    name="visualizer",
)