Repository: pytorch
Issue: Some parameters are missing type descriptions
Labels: module: docs,triaged,actionable

### 📚 The doc issue

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Many parameters are not for any type of value, so the allowed types should be clearly marked in the document.

API | lack of description params
-- | --
torch.qr | input
torch.combinations | input
torch.logical_xor | input、other
torch.nn.functional.rrelu | training
torch.prod | input
torch.log2 | input
torch.log10 | input
torch.bitwise_or | input、other
torch.asin | input
torch.numel | input
torch.nn.functional.avg_pool2d | input
torch.square | input
torch.empty_like | input
torch.asinh | input
torch.nn.LPPool2d | norm_type
torch.msort | input
torch.acos | input
torch.mul | input
torch.cholesky_solve | input1、input2
torch.kthvalue | input
torch.log | input
torch.atanh | input
torch.t | input
torch.squeeze | input
torch.min | input
torch.count_nonzero | input
torch.sum | input
torch.diagonal | input
torch.polygamma | input
torch.sub | input
torch.nn.functional.max_unpool1d | indices
torch.fmod | input
torch.argsort | input
torch.nanquantile | input
torch.median | input
torch.cos | input
torch.unsqueeze | input
torch.lt | input
torch.ger | input、vec2
torch.clamp | input
torch.mv | input、vec
torch.tanh | input
torch.sort | input
torch.isreal | input
torch.stack | tensors
torch.nn.BCEWithLogitsLoss | weight
torch.trace | input
torch.nn.functional.softmax | _stacklevel
torch.logaddexp2 | input、other
torch.cdist | x1、x2
torch.igamma | input、other
torch.exp | input
torch.nn.functional.pixel_shuffle | input
torch.view_as_complex | input
torch.nn.functional.pad | input
torch.bitwise_and | input、other
torch.nn.functional.l1_loss | target
torch.ravel | input
torch.equal | input、other
torch.save | _use_new_zipfile_serialization
torch.nn.functional.lp_pool1d | norm_type
torch.nn.functional.lp_pool2d | norm_type



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### Suggest a potential alternative/fix

_No response_

cc @svekars @carljparker