Tensorflow import error in virtual environment (vsc) - No module named 'tensorflow'
@drishtia60,
There are at least 3 possible scenarios:

```
1. You need to install the MSVC 2019 redistributable.
2. Your CPU does not support AVX2 instructions.
3. Your CPU/Python is on 32 bits.
4. There is a library that is in a different location/not installed on your system that cannot be loaded.
```
Also pip install tensorflow will install a version thats compatible with GPU and CPU. So it gives you that warning message.
If you don't want to see warning messages and want to install the CPU only version, you could - pip install tensorflow-cpu that's a smaller wheel file for the CPU only version.

TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install [TensorFlow in WSL2](https://tensorflow.org/install/pip#windows-wsl2), or install tensorflow-cpu and, optionally, try the [TensorFlow-DirectML-Plugin](https://github.com/microsoft/tensorflow-directml-plugin#tensorflow-directml-plugin-)
https://www.tensorflow.org/install/pip?hl=en#windows-native

Also please take a look at this https://github.com/tensorflow/tensorflow/issues/57103 and https://github.com/tensorflow/tensorflow/issues/56976 with a similar error and try to uninstall all the dependencies and recreate a fresh conda env .

Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Build/Install

### Have you reproduced the bug with TF nightly?

Yes

### Source

source

### Tensorflow Version

tf 2.11.0

### Custom Code

Yes

### OS Platform and Distribution

Windows 10

### Mobile device

_No response_

### Python version

python 3.7.9

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

```shell
ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory 
HINT: This error might have occurred since this system does not have Windows Long Path support enabled. You can find information on how to enable this at https://pip.pypa.io/warnings/enable-long-paths
```


### Standalone code to reproduce the issue

```shell
Code : 

import cv2
import numpy as np
import tensorflow as tf

model = tf.keras.models.load_model('keras_model.h5')

video = cv2.VideoCapture(0)

while True:

    check,frame = video.read()

    img = cv2.resize(frame,(224,224))

    test_image = np.array(img, dtype=np.float32)
    test_image = np.expand_dims(test_image, axis=0)

    # 3. Normalizing the image
    normalised_image = test_image/255.0

    # Predict Result
    prediction = model.predict(normalised_image)

    print("Prediction : ", prediction)
        
    cv2.imshow("Result",frame)
            
    key = cv2.waitKey(1)

    if key == 32:
        print("Closing")
        break

video.release()


This is the location of the tensorflow package on my C drive : 

C:\Users\Asus\Downloads\PRO-C110-Student-Boilerplate-main (1)\PRO-C110-Student-Boilerplate-main\venv\Scripts\tensorboard.exe


Method of installing tensorflow : 

pip install --ignore-installed --upgrade tensorflow
I did try: uninstalling and reinstalling protobuf but it makes no difference, neither does pip3
```


### Relevant log output

_No response_</details>