Row 2196

Row ID: 2196 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 2196 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I've been attempting to get my GPU to be detected by TensorFlow on and off for weeks for an upcoming university project, but I have not been able to do this.

I'm using Anaconda and I'm on Windows (10, but on my Windows 11 laptop it would also not work correctly).

I have installed cudnn (Version 8.1.0.77) and cudatoolkit (Version 11.2.2) via conda. I have installed TensorFlow (Version 2.10.1) via pip (All versions from the "conda list" command). I chose these versions as they should have the best compatibility, but it still doesn't work. I have attempted to follow this [https://www.tensorflow.org/install/pip#step-by-step\_instructions](https://www.tensorflow.org/install/pip#step-by-step_instructions) as much as possible. The first verification step (For the CPU) returns this:

[This seems fine from what I understand. It returns the tensor at least](https://preview.redd.it/ecnfdzhzixbb1.png?width=1899&format=png&auto=webp&s=2602f6d67fc24a42522a6370413eae3c86fc15b5)

The second (For the GPU), however, only returns "\[\]".

I have an RTX 2070 Super with driver version 536.40, and no integrated graphics in my CPU (AMD Ryzen 5 3600). I should also have enough RAM (I have 32GB DDR4, while the minimum I believe is 8GB).

I've tried looking through articles and finding a solution, but I've evidently not been successful in this.

Could it be perhaps related to the OS?

Any suggestions for the next things to look for or to check would be greatly appreciated!

FieldValue
text I've been attempting to get my GPU to be detected by TensorFlow on and off for weeks for an upcoming university project, but I have not been able to do this. I'm using Anaconda and I'm on Windows (10, but on my Windows 11 laptop it would also not work correctly). I have installed cudnn (Version 8.1.0.77) and cudatoolkit (Version 11.2.2) via conda. I have installed TensorFlow (Version 2.10.1) via pip (All versions from the "conda list" command). I chose these versions as they should have the be…
label r/tensorflow
dataType post
communityName r/tensorflow
datetime 2023-07-14
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Raw Record

{
  "text": "I've been attempting to get my GPU to be detected by TensorFlow on and off for weeks for an upcoming university project, but I have not been able to do this.\n\nI'm using Anaconda and I'm on Windows (10, but on my Windows 11 laptop it would also not work correctly).\n\nI have installed cudnn (Version 8.1.0.77) and cudatoolkit (Version 11.2.2) via conda. I have installed TensorFlow (Version 2.10.1) via pip (All versions from the \"conda list\" command). I chose these versions as they should have the best compatibility, but it still doesn't work. I have attempted to follow this [https://www.tensorflow.org/install/pip#step-by-step\\_instructions](https://www.tensorflow.org/install/pip#step-by-step_instructions) as much as possible. The first verification step (For the CPU) returns this: \n\n[This seems fine from what I understand. It returns the tensor at least](https://preview.redd.it/ecnfdzhzixbb1.png?width=1899&format=png&auto=webp&s=2602f6d67fc24a42522a6370413eae3c86fc15b5)\n\nThe second (For the GPU), however, only returns \"\\[\\]\".\n\nI have an RTX 2070 Super with driver version 536.40, and no integrated graphics in my CPU (AMD Ryzen 5 3600). I should also have enough RAM (I have 32GB DDR4, while the minimum I believe is 8GB).\n\nI've tried looking through articles and finding a solution, but I've evidently not been successful in this. \n\nCould it be perhaps related to the OS?\n\nAny suggestions for the next things to look for or to check would be greatly appreciated!",
  "label": "r/tensorflow",
  "dataType": "post",
  "communityName": "r/tensorflow",
  "datetime": "2023-07-14",
  "username_encoded": "Z0FBQUFBQm5LakwwUmx4THdfc2hNRDNGU3dZWE9yWUtfNmlRWjhncFl6bWVoQkN5bEE1b25wQW1Jc0VBVkRaa2xLMTByZ09teTFOdTFEWk5XaW1GeGxaWFRVM2pkc19GYmc9PQ==",
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}
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