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  1. torch.mps.current_allocated_memory — PyTorch 2....

    Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials What...
    pytorch.org/docs/stable/generated/torch.mps.current_allocated_memory.html
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  2. Digest::file - Calculate digests of files - Per...

    Digest::file ( source , CPAN ) version 1.20 CONTENTS NAME SYNOPSIS DESCRIPTION SEE ALSO # NAME Digest::file - Calcula...
    perldoc.perl.org/Digest::file
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  3. torch.xpu.current_device — PyTorch 2.5 document...

    Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials What...
    pytorch.org/docs/stable/generated/torch.xpu.current_device.html Similar Results (2)
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  4. numpy.real_if_close — NumPy v2.1 Manual

    Skip to main content Back to top Ctrl + K GitHub numpy.real_if_close # numpy. real_if_close ( a , tol = 100 ) [source...
    numpy.org/doc/stable/reference/generated/numpy.real_if_close.html
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  5. numpy.recarray.ravel — NumPy v2.1 Manual

    Skip to main content Back to top Ctrl + K GitHub numpy.recarray.ravel # method recarray. ravel ( [ order ] ) # Return...
    numpy.org/doc/stable/reference/generated/numpy.recarray.ravel.html
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  6. numpy.rec.find_duplicate — NumPy v2.1 Manual

    Skip to main content Back to top Ctrl + K GitHub numpy.rec.find_duplicate # rec. find_duplicate ( list ) [source] # F...
    numpy.org/doc/stable/reference/generated/numpy.rec.find_duplicate.html
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  7. numpy.memmap.real — NumPy v2.1 Manual

    Skip to main content Back to top Ctrl + K GitHub numpy.memmap.real # attribute memmap. real # The real part of the ar...
    numpy.org/doc/stable/reference/generated/numpy.memmap.real.html
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  8. numpy.recarray.real — NumPy v2.1 Manual

    Skip to main content Back to top Ctrl + K GitHub numpy.recarray.real # attribute recarray. real # The real part of th...
    numpy.org/doc/stable/reference/generated/numpy.recarray.real.html
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  9. numpy.require — NumPy v2.1 Manual

    Skip to main content Back to top Ctrl + K GitHub numpy.require # numpy. require ( a , dtype = None , requirements = N...
    numpy.org/doc/stable/reference/generated/numpy.require.html
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