Row 87489

Row ID: 87489 | Dataset Entry | Axioma AXP Content Repository

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Hi, I am looking for a way to run pytorch's cuda kernels standalone(each separately) for benchmarking. Is there a way this could be done?

FieldValue
text Hi, I am looking for a way to run pytorch's cuda kernels standalone(each separately) for benchmarking. Is there a way this could be done?
label r/pytorch
dataType post
communityName r/pytorch
datetime 2024-05-24
username_encoded Z0FBQUFBQm5Lak1wMUQxVUtTTVRWdWM0eXFqVXVNeV9xZTdpNXQ1b0QwWFRvT2NQaWl1Ym5FbE9FckU4S19GUm5RYXVraEVXMHByMVdodUxsOTlMMXFZX1VjYmkxRFg0RUswUjhmTF9qREVTa04xbWZOX1ZrbUU9
url_encoded Z0FBQUFBQm5Lak83QnpHX0RGNXNVUmNfVTM2S0tSMUdaTm1fUVg4b3YwMjRDRzZVbUFnZnFOa21uQml5RVRNLWV1eThJcFZ1R3Q1MjU3bXYxdmFSUWFsc0RGMXRGUmZFZTFzOFROVDZUdi1nNllScTRVeVVwdkp6R0ZwYjByazNCa0tPT2IwZ1ZIME9PbGpualE2aEFVei05RlB2dExic0Z6akJfSGJZQ3RPakdOYTBlU1ZUZDBjPQ==

Raw Record

{
  "text": "Hi, \nI am looking for a way to run pytorch's cuda kernels standalone(each separately) for benchmarking. Is there a way this could be done? ",
  "label": "r/pytorch",
  "dataType": "post",
  "communityName": "r/pytorch",
  "datetime": "2024-05-24",
  "username_encoded": "Z0FBQUFBQm5Lak1wMUQxVUtTTVRWdWM0eXFqVXVNeV9xZTdpNXQ1b0QwWFRvT2NQaWl1Ym5FbE9FckU4S19GUm5RYXVraEVXMHByMVdodUxsOTlMMXFZX1VjYmkxRFg0RUswUjhmTF9qREVTa04xbWZOX1ZrbUU9",
  "url_encoded": "Z0FBQUFBQm5Lak83QnpHX0RGNXNVUmNfVTM2S0tSMUdaTm1fUVg4b3YwMjRDRzZVbUFnZnFOa21uQml5RVRNLWV1eThJcFZ1R3Q1MjU3bXYxdmFSUWFsc0RGMXRGUmZFZTFzOFROVDZUdi1nNllScTRVeVVwdkp6R0ZwYjByazNCa0tPT2IwZ1ZIME9PbGpualE2aEFVei05RlB2dExic0Z6akJfSGJZQ3RPakdOYTBlU1ZUZDBjPQ=="
}
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