I have been trying to install TensorFlow 2.6.0 in a conda environment. Here's the command: python -m pip install tensorflow-macos==2.6.0 But it gives me this error:         TypeError: str expected, not int        [end of output]            note: This error originates from a subprocess, and is likely not a problem with pip.     error: legacy-install-failure           × Encountered error while trying to install package.     ╰─> numpy           note: This is an issue with the package mentioned above, not pip.     hint: See above for output from the failure.           [notice] A new release of pip available: 22.1.2 -> 22.2.1     [notice] To update, run: python3.8 -m pip install --upgrade pip     [end of output]     note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error × pip subprocess to install backend dependencies did not run successfully. │ exit code: 1 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. [notice] A new release of pip available: 22.1.2 -> 22.2.1 [notice] To update, run: python3.8 -m pip install --upgrade pip The full output is too large to fit in here. So I put the output here - https://docs.google.com/document/d/1eKL5UbeK8y0nNbp3mnWPBUutrTOTiWHALjZliQtB7jw/edit?usp=sharing Go check it out. Please help me to successfully install Tensorflow in my M1 MacBook Pro. OS: macOS Big Sur v11.6; Environment python: Python 3.8.13; Environment pip: Pip v22.1.2

Hello there, I have installed tensorflow in my M1 Macbook Pro using these commands in a conda environment: conda install -c apple tensorflow-deps python -m pip install tensorflow-macos python -m pip install tensorflow-metal python -m pip install tensorflow-datasets conda install jupyter pandas numpy matplotlib scikit-learn I did it following this instruction - https://github.com/mrdbourke/m1-machine-learning-test But when I import the packages I installed it gives me an error message. Here: import numpy as np import pandas as pd import sklearn import tensorflow as tf import matplotlib.pyplot as plt # Check for TensorFlow GPU access print(f"TensorFlow has access to the following devices:\n{tf.config.list_physical_devices()}") # See TensorFlow version print(f"TensorFlow version: {tf.__version__}") Error: --------------------------------------------------------------------------- NotFoundError Traceback (most recent call last) Input In [1], in <cell line: 4>() 2 import pandas as pd 3 import sklearn ----> 4 import tensorflow as tf 5 import matplotlib.pyplot as plt 7 # Check for TensorFlow GPU access File ~/miniforge3/lib/python3.9/site-packages/tensorflow/__init__.py:443, in <module> 441 _plugin_dir = _os.path.join(_s, 'tensorflow-plugins') 442 if _os.path.exists(_plugin_dir): --> 443 _ll.load_library(_plugin_dir) 444 # Load Pluggable Device Library 445 _ll.load_pluggable_device_library(_plugin_dir) File ~/miniforge3/lib/python3.9/site-packages/tensorflow/python/framework/load_library.py:151, in load_library(library_location) 148 kernel_libraries = [library_location] 150 for lib in kernel_libraries: --> 151 py_tf.TF_LoadLibrary(lib) 153 else: 154 raise OSError( 155 errno.ENOENT, 156 'The file or folder to load kernel libraries from does not exist.', 157 library_location) NotFoundError: dlopen(/Users/arannya/miniforge3/lib/python3.9/site-packages/tensorflow-plugins/libmetal_plugin.dylib, 6): Symbol not found: __ZNKSt3__115basic_stringbufIcNS_11char_traitsIcEENS_9allocatorIcEEE3strEv Referenced from: /Users/arannya/miniforge3/lib/python3.9/site-packages/tensorflow-plugins/libmetal_plugin.dylib (which was built for Mac OS X 12.3) Expected in: /usr/lib/libc++.1.dylib Please help me solve this issue. I have to make a robot for a competition. So I gotta run TensorFlow.