Row 6405

Row ID: 6405 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 6405 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I'm trying to quantize the model, onnx exported from pytorch or tensorflow.

Pytorch has export onnx option "do constant folding", and I want to do same thing on tensorflow. Is there any option for it? I want to know how I can export the tensorflow model to onnx model.

I'm clumsy on English, sorry if I'm rude.

FieldValue
text I'm trying to quantize the model, onnx exported from pytorch or tensorflow. Pytorch has export onnx option "do constant folding", and I want to do same thing on tensorflow. Is there any option for it? I want to know how I can export the tensorflow model to onnx model. I'm clumsy on English, sorry if I'm rude.
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-10
username_encoded Z0FBQUFBQm5LakwyN04zc195V0c2N3diWmxHbnpnWnJmNk9TajZ3ZTY3dGRONVRtRkJINHZnWDZVNFBXQ3loRjFHVUhfTHJsYWZzTk9hdFlCN3RmNGdMOTFLRERQTXlHSlN3YVZjRkttc21HWjZNZW81NVVQTFE9
url_encoded Z0FBQUFBQm5Lak9HT2VabXlRUFBmNmtRaW1HejdoUEljS3Y0dHI5cDhvUnhySjJFUmNBbW5KX2VHcm5GOHhieHVLS1FPaVdyQjMyNG9BWk9pa3BBVVJIWUZSODJldWNuQ1FGZk5IbGtRdllFdWNLams1RDhKTGlZUmI4bU5yeUVILTA0VERpZmh6N2U3RE9BWVZjSGFTb3c2WTNFc2RuSE1XVmhVczdpdVd3SjlZa1FISmxBb3pzUWhKdWUwYzEtbXQzc1FWSk9wZWtf

Raw Record

{
  "text": "I'm trying to quantize the model, onnx exported from pytorch or tensorflow.\n\nPytorch has export onnx option \"do constant folding\", and I want to do same thing on tensorflow.\nIs there any option for it? I want to know  how I can export the tensorflow model to onnx model.\n\nI'm clumsy on English, sorry if I'm rude.",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-10",
  "username_encoded": "Z0FBQUFBQm5LakwyN04zc195V0c2N3diWmxHbnpnWnJmNk9TajZ3ZTY3dGRONVRtRkJINHZnWDZVNFBXQ3loRjFHVUhfTHJsYWZzTk9hdFlCN3RmNGdMOTFLRERQTXlHSlN3YVZjRkttc21HWjZNZW81NVVQTFE9",
  "url_encoded": "Z0FBQUFBQm5Lak9HT2VabXlRUFBmNmtRaW1HejdoUEljS3Y0dHI5cDhvUnhySjJFUmNBbW5KX2VHcm5GOHhieHVLS1FPaVdyQjMyNG9BWk9pa3BBVVJIWUZSODJldWNuQ1FGZk5IbGtRdllFdWNLams1RDhKTGlZUmI4bU5yeUVILTA0VERpZmh6N2U3RE9BWVZjSGFTb3c2WTNFc2RuSE1XVmhVczdpdVd3SjlZa1FISmxBb3pzUWhKdWUwYzEtbXQzc1FWSk9wZWtf"
}
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