File ~/anaconda3/lib/python3.9/site-packages/keras/src/engine/data_adapter.py:1105, in select_data_adapter(x, y) 1102 adapter_cls = [cls for cls in ALL_ADAPTER_CLS if cls.can_handle(x, y)] 1103 if not adapter_cls: 1104 # TODO(scottzhu): This should be a less implementation-specific error. -> 1105 raise ValueError( 1106 "Failed to find data adapter that can handle input: {}, {}".format( 1107 _type_name(x), _type_name(y) 1108 ) 1109 ) 1110 elif len(adapter_cls) > 1: 1111 raise RuntimeError( 1112 "Data adapters should be mutually exclusive for " 1113 "handling inputs. Found multiple adapters {} to handle " 1114 "input: {}, {}".format(adapter_cls, _type_name(x), _type_name(y)) 1115 ) ValueError: Failed to find data adapter that can handle input: <class 'numpy.ndarray'>, (<class 'list'> containing values of types {"<class 'int'>"})

这个错误通常是由于使用 Keras 模型时，输入数据不兼容所导致的。根据错误信息，你的输入数据似乎是一个 Numpy 数组和一个包含整数的列表，但是 Keras 无法处理这种类型的数据。

你需要将数据转换为 Keras 支持的格式。可以尝试将整数列表转换为 Numpy 数组，或者将两个输入数据都转换为列表格式。如果你仍然无法解决问题，建议检查你的数据和模型是否匹配，并确保它们都具有正确的形状和数据类型。

相关问题

>>> import torchvision Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torchvision/__init__.py", line 7, in <module> from torchvision import datasets File "/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torchvision/datasets/__init__.py", line 1, in <module> from .lsun import LSUN, LSUNClass File "/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torchvision/datasets/lsun.py", line 2, in <module> from PIL import Image File "/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/PIL/Image.py", line 100, in <module> from . import _imaging as core ImportError: dlopen(/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/PIL/_imaging.cpython-39-darwin.so, 2): Library not loaded: @rpath/libjpeg.9.dylib Referenced from: /opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/PIL/_imaging.cpython-39-darwin.so Reason: Incompatible library version: _imaging.cpython-39-darwin.so requires version 15.0.0 or later, but libjpeg.9.dylib provides version 12.0.0

这个错误提示显示 PIL 库中的 _imaging.cpython-39-darwin.so 动态链接库依赖的 libjpeg.9.dylib 版本不兼容，需要版本号为 15.0.0 或更高版本。

解决方法：

1.卸载已安装的 Pillow 库，执行以下命令：

pip uninstall pillow

2. 安装 libjpeg-turbo，执行以下命令：

brew install libjpeg-turbo

3. 安装 Pillow 库，并指定使用 libjpeg-turbo 库，执行以下命令：

pip install --no-cache-dir -I pillow-SO_LATEST_VERSION --global-option="build_ext" --global-option="--disable-jpeg" --global-option="--enable-jpeg2000" --global-option="--enable-zlib" --global-option="--enable-turbojpeg"

其中，SO_LATEST_VERSION 是指最新版本的 Pillow 库的版本号。您可以在 PyPI 上查看最新版本的 Pillow 库的版本号。

4. 验证 Pillow 库是否安装成功，执行以下命令：

python -c "from PIL import Image; print(Image.core.jpeglib_version)"

如果输出的版本号为 libjpeg-turbo 的版本号，则说明安装成功。

解析这个报错INTEL MKL ERROR: dlopen(/Users/baiminchen/opt/anaconda3/lib/libmkl_core.1.dylib, 0x0009): tried: '/Users/baiminchen/opt/anaconda3/lib/libmkl_core.1.dylib' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/baiminchen/opt/anaconda3/lib/libmkl_core.1.dylib' (no such file), '/Users/baiminchen/opt/anaconda3/lib/libmkl_core.1.dylib' (no such file). Intel MKL FATAL ERROR: Cannot load libmkl_core.1.dylib. Traceback (most recent call last): File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/isolated/_parent.py", line 373, in call return isolated.call(function, *args, **kwargs) File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/isolated/_parent.py", line 302, in call ok, output = loads(b64decode(self._read_handle.readline())) EOFError: EOF read where object expected During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/baiminchen/opt/anaconda3/bin/pyinstaller", line 8, in <module> sys.exit(_console_script_run()) File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/__main__.py", line 194, in _console_script_run run() File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/__main__.py", line 180, in run run_build(pyi_config, spec_file, **vars(args)) File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/__main__.py", line 61, in run_build PyInstaller.building.build_main.main(pyi_config, spec_file, **kwargs) File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/building/build_main.py", line 971, in main build(specfile, distpath, workpath, clean_build) File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/building/build_main.py", line 893, in build exec(code, spec_namespace) File "/Users/baiminchen/Desktop/database of xinstitute/main.spec", line 7, in <module> a = Analysis( File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/building/build_main.py", line 378, in __init__ self.hookspath += discover_hook_directories() File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/isolated/_parent.py", line 404, in wrapped return call(function, *args, **kwargs) File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/isolated/_parent.py", line 373, in call return isolated.call(function, *args, **kwargs) File "/Users/baiminchen/opt/anaconda3/lib/python3.9/site-packages/PyInstaller/isolated/_parent.py", line 244, in __exit__ self._write_handle.flush() BrokenPipeError: [Errno 32] Broken pipe

这个错误是在使用 PyInstaller 工具时出现的，它是一个用于将 Python 程序打包为单个可执行文件的工具。这个错误提示中有一行提到了 Intel MKL，MKL 是 Intel Math Kernel Library 的缩写，是一个优化的数学函数库。

错误信息表明 PyInstaller 在尝试加载 Intel MKL 库文件 libmkl_core.1.dylib 时失败了，并且指出了找不到这个文件。这通常是因为该文件在本机上没有安装或者安装路径不正确。你需要检查你的系统中是否已经正确安装了 Intel MKL，或者尝试重新安装它。

如果你确定 Intel MKL 已经安装，那么你可能需要检查 PyInstaller 脚本中的路径是否正确。这个错误信息中还提到了文件 main.spec，这是 PyInstaller 生成的一个配置文件，你可以在其中指定 Intel MKL 的安装路径。