Python program that can solve Tensorflow-GPU, CUDA, cudnn error

For the error described below, you will receive a downloadable Python file and technical support on email
If you want to solve the following Tensorflow, Cuda, Cudnn error
Download our solution (python file) and technical support by email
The Python program is on this link Python Program for Tensorflow-GPU

If you do not have a GPU board on your PC do not buy this product – Nvidia and CUDA and CUDNN do not work for you

The output of the Python program is (we will help you get to this result on your PC)

tensorflow version 2.3.0
————–GPU—————————–
GPU b’GPU 0: GeForce MX130 (UUID: GPU-4110fa0e-65db-5dc8-83ab-9d6b9bab212d)\r\n’
GPU b’name, memory.total [MiB]\r\nGeForce MX130, 2048 MiB\r\n’

The Error message is

2020-08-09 22:39:37.802863: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘cudart64_101.dll’; dlerror: cudart64_101.dll not found
2020-08-09 22:39:37.815730: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2020-08-09 22:39:40.977308: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library nvcuda.dll
2020-08-09 22:39:41.368091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce MX130 computeCapability: 5.0
coreClock: 1.189GHz coreCount: 3 deviceMemorySize: 2.00GiB deviceMemoryBandwidth: 37.33GiB/s
2020-08-09 22:39:41.390909: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘cudart64_101.dll’; dlerror: cudart64_101.dll not found
2020-08-09 22:39:41.417424: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘cublas64_10.dll’; dlerror: cublas64_10.dll not found
2020-08-09 22:39:41.433415: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘cufft64_10.dll’; dlerror: cufft64_10.dll not found
2020-08-09 22:39:41.448755: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘curand64_10.dll’; dlerror: curand64_10.dll not found
2020-08-09 22:39:41.468271: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘cusolver64_10.dll’; dlerror: cusolver64_10.dll not found
2020-08-09 22:39:41.489726: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘cusparse64_10.dll’; dlerror: cusparse64_10.dll not found
2020-08-09 22:39:41.521800: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘cudnn64_7.dll’; dlerror: cudnn64_7.dll not found
2020-08-09 22:39:41.550799: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1753] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices…

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