Row 4483

Row ID: 4483 | Dataset Entry | Axioma AXP Content Repository

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I was working on some image classification model on my m1 macbook air and it says it cannot do one pass through my dataloader. I also tried

`export \`PYTORCH_ENABLE_MPS_FALLBACK=1\``but it doesn't work. The error looks exactly like this

`NotImplementedError: The operator 'aten::_linalg_solve_ex.result' is not currently implemented for the MPS device. If you want this op to be added in priority during the prototype phase of this feature, please comment on As a temporary fix, you can set the environment variable \`PYTORCH_ENABLE_MPS_FALLBACK=1\` to use the CPU as a fallback for this op. WARNING: this will be slower than running natively on MPS.https://github.com/pytorch/pytorch/issues/77764.` Any suggestions on how do i fix this ?

FieldValue
text I was working on some image classification model on my m1 macbook air and it says it cannot do one pass through my dataloader. I also tried `export \`PYTORCH_ENABLE_MPS_FALLBACK=1\``but it doesn't work. The error looks exactly like this `NotImplementedError: The operator 'aten::_linalg_solve_ex.result' is not currently implemented for the MPS device. If you want this op to be added in priority during the prototype phase of this feature, please comment on As a temporary fix, you can set the e…
label r/pytorch
dataType post
communityName r/pytorch
datetime 2024-04-14
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url_encoded Z0FBQUFBQm5Lak9GTC1XUDZEc1hoTkFZOEdBOEd4dVRFM09vSWR4NlgyQ0djd1czYk9yNDJJeTBSRXhfbU1ydnV0MFFzZl9qRGNOTjkzVDk3T0pBeGJQYThSVjgycDNzSF9fQ1NZeXJ1Qm1TY0hhNEg2RWxhcmIzNTh1a2lPV2FvZDMySGR2UDIzOGxSazRXZkJhMWlyRWExNzY4ZnJUQnprTGs2VlFEanIzbmpnaW41Q2pkbk80MmQ5cF8xYW5TX0VTcFJQUllDZzJUZ05oa0c0RHRlcURDQnpPZWtwQnlWUT09

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{
  "text": "I was working on some image classification model on my m1 macbook air and it says it cannot do one pass through my dataloader. I also tried\n\n`export \\`PYTORCH_ENABLE_MPS_FALLBACK=1\\``but it doesn't work. The error looks exactly like this \n\n`NotImplementedError: The operator 'aten::_linalg_solve_ex.result' is not currently implemented for the MPS device. If you want this op to be added in priority during the prototype phase of this feature, please comment on  As a temporary fix, you can set the environment variable \\`PYTORCH_ENABLE_MPS_FALLBACK=1\\` to use the CPU as a fallback for this op. WARNING: this will be slower than running natively on MPS.https://github.com/pytorch/pytorch/issues/77764.`  \nAny suggestions on how do i fix this ?",
  "label": "r/pytorch",
  "dataType": "post",
  "communityName": "r/pytorch",
  "datetime": "2024-04-14",
  "username_encoded": "Z0FBQUFBQm5LakwxbXppWDdMZS00UndmUTlXNmtkQkpPN1FIN0JpTXZOdmY0cWNra1R2V1RvQUY4OXJiaG9QOXVGa0tpampHTVJNbmpJY0pxQW5sc3BOTDJtVFFmd0tsREE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9GTC1XUDZEc1hoTkFZOEdBOEd4dVRFM09vSWR4NlgyQ0djd1czYk9yNDJJeTBSRXhfbU1ydnV0MFFzZl9qRGNOTjkzVDk3T0pBeGJQYThSVjgycDNzSF9fQ1NZeXJ1Qm1TY0hhNEg2RWxhcmIzNTh1a2lPV2FvZDMySGR2UDIzOGxSazRXZkJhMWlyRWExNzY4ZnJUQnprTGs2VlFEanIzbmpnaW41Q2pkbk80MmQ5cF8xYW5TX0VTcFJQUllDZzJUZ05oa0c0RHRlcURDQnpPZWtwQnlWUT09"
}
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