ImportError: undefined symbol after install
From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
   * For TF-GPU - See point 1
   * For TF-CPU - See point 2
-----------------------------------------------------------------------------------------------
**1. Installing **TensorFlow-GPU** (TF) prebuilt binaries**

Make sure you are using compatible TF and CUDA versions. Please refer following TF version and CUDA version compatibility table.
| TF  | CUDA |
| :-------------: | :-------------: |
| 2.5.0  | 11.2 |
| 2.4.0  | 11.0 |
| 2.1.0 - 2.3.0  | 10.1 |
| 1.13.1 - 2.0  | 10.0  |
| 1.5.0 - 1.12.0 | 9.0 |

  * If you have above configuration and using _**Windows**_ platform -
    * Try adding the CUDA, CUPTI, and cuDNN installation directories to the %PATH% environment variable.
    * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
  * If you have above configuration and using _**Ubuntu/Linux**_ platform -
    * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
    * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
  * If error still persists then, apparently your CPU model does not support AVX instruction sets.
    * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).

-----------------------------------------------------------------------------------------------
**2. Installing **TensorFlow** (TF) CPU prebuilt binaries**

*TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*

Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:

   * Try Google Colab to use TensorFlow.
      * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
      * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.
      * All you need is a good internet connection and you are all set.
   * Try to build TF from sources by changing CPU optimization flags.

*Please let us know if this helps.*
 @helmunt1998 You are using an older version of TF which is not actively supported. Could you upgrade to the latest TF version and follow this migration [document](https://www.tensorflow.org/guide/migrate) to know more about this.  The older version might show these issues as many apis are being deprecated. Please let us know if that help?
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?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61315">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61315">No</a>

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

1.7.0

### Custom code

No

### OS platform and distribution

Linux-4.14.0-xilinx-v2018.3-armv7l-with-pynqlinux-v2.6-WFH

### Mobile device

no

### Python version

3.6.5

### Bazel version

0.10.0- (@non-git)

### GCC/compiler version

GCC 7.3.0

### CUDA/cuDNN version

no

### GPU model and memory

_No response_

### Current behavior?

I'm facing with the ImportError - Undefined symbol when trying to import tensorflow after successfully compiling from source and installed Tensorflow 1.7.0 on a 32 bit architecture. 

### Standalone code to reproduce the issue

```shell
> Build configurations for Tensorflow:

build --action_env PYTHON_BIN_PATH="/usr/bin/python3"
build --action_env PYTHON_LIB_PATH="/usr/local/lib/python3.6/dist-packages"
build --force_python=py3
build --host_force_python=py3
build --python_path="/usr/bin/python3"
build:gcp --define with_gcp_support=true
build:hdfs --define with_hdfs_support=true
build:s3 --define with_s3_support=true
build:kafka --define with_kafka_support=true
build:xla --define with_xla_support=true
build:gdr --define with_gdr_support=true
build:verbs --define with_verbs_support=true
build --action_env TF_NEED_OPENCL_SYCL="0"
build --action_env TF_NEED_CUDA="0"
build --define grpc_no_ares=true
build:opt --copt=-march=native
build:opt --host_copt=-march=native
build:opt --define with_default_optimizations=true
build --copt=-DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK
build --host_copt=-DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK


> After bazel build:

sudo python3 -m pip install /tmp/tensorflow_pkg/tensorflow-1.7.0-cp36-cp36m-linux_armv7l.whl

> Importing in python3 

import tensorflow as tf
```


### Relevant log output

```shell
xilinx@pynq:/tmp/tensorflow_pkg$ python3 -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/usr/lib/python3.6/imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: /usr/local/lib/python3.6/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so: undefined symbol: _ZN10tensorflow9ConcatCPUINS_8bfloat16EEEvPNS_10DeviceBaseERKSt6vectorISt10unique_ptrINS_6TTypesIT_Li2EiE11ConstMatrixESt14default_deleteIS9_EESaISC_EEPNS8_6MatrixE

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *  # pylint: disable=redefined-builtin
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/usr/lib/python3.6/imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: /usr/local/lib/python3.6/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so: undefined symbol: _ZN10tensorflow9ConcatCPUINS_8bfloat16EEEvPNS_10DeviceBaseERKSt6vectorISt10unique_ptrINS_6TTypesIT_Li2EiE11ConstMatrixESt14default_deleteIS9_EESaISC_EEPNS8_6MatrixE


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation_problems

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.
```
