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Add dtype arg support to torch.linalg.norm with ord='fro' and ord='nuc' #46255

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kurtamohler opened this issue Oct 13, 2020 · 1 comment
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function request A request for a new function or the addition of new arguments/modes to an existing function. module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: norms and normalization triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@kurtamohler
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kurtamohler commented Oct 13, 2020

馃殌 Feature

torch.linalg.norm currently supports the dtype arg for all norm types except Frobenius and nuclear.

cc @ezyang @vincentqb @vishwakftw @jianyuh @nikitaved @pearu @mruberry @heitorschueroff

@kurtamohler kurtamohler self-assigned this Oct 13, 2020
@bdhirsh bdhirsh added enhancement Not as big of a feature, but technically not a bug. Should be easy to fix module: custom-operators triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module shadow review Request the triage shadow to take a second look at your triage and see if they agree or not labels Oct 13, 2020
@ezyang ezyang added module: norms and normalization module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul and removed module: custom-operators shadow review Request the triage shadow to take a second look at your triage and see if they agree or not labels Oct 13, 2020
@mruberry mruberry added function request A request for a new function or the addition of new arguments/modes to an existing function. and removed enhancement Not as big of a feature, but technically not a bug. Should be easy to fix labels Oct 13, 2020
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We would accept a PR adding this behavior.

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Labels
function request A request for a new function or the addition of new arguments/modes to an existing function. module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: norms and normalization triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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