libtorch-ffi-2.0.1.9: src/Torch/Internal/Unmanaged/Native/Native12.hs
-- generated by using spec/Declarations.yaml
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE PolyKinds #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE QuasiQuotes #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE OverloadedStrings #-}
module Torch.Internal.Unmanaged.Native.Native12 where
import Foreign.C.String
import Foreign.C.Types
import Foreign
import Torch.Internal.Type
import qualified Language.C.Inline.Cpp as C
import qualified Language.C.Inline.Cpp.Unsafe as C
import qualified Language.C.Inline.Context as C
import qualified Language.C.Types as C
C.context $ C.cppCtx <> mempty { C.ctxTypesTable = typeTable }
C.include "<vector>"
C.include "<ATen/Tensor.h>"
C.include "<ATen/Functions.h>"
_linalg_svd_out_ttttbbs
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> Ptr StdString
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_linalg_svd_out_ttttbbs _U _S _Vh _A _full_matrices _compute_uv _driver =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_linalg_svd_out(
*$(at::Tensor* _U)
, *$(at::Tensor* _S)
, *$(at::Tensor* _Vh)
, *$(at::Tensor* _A)
, $(bool _full_matrices)
, $(bool _compute_uv)
, *$(std::string* _driver)));
}|]
_linalg_svd_out_ttttbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_linalg_svd_out_ttttbb _U _S _Vh _A _full_matrices _compute_uv =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_linalg_svd_out(
*$(at::Tensor* _U)
, *$(at::Tensor* _S)
, *$(at::Tensor* _Vh)
, *$(at::Tensor* _A)
, $(bool _full_matrices)
, $(bool _compute_uv)));
}|]
_linalg_svd_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_linalg_svd_out_ttttb _U _S _Vh _A _full_matrices =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_linalg_svd_out(
*$(at::Tensor* _U)
, *$(at::Tensor* _S)
, *$(at::Tensor* _Vh)
, *$(at::Tensor* _A)
, $(bool _full_matrices)));
}|]
_linalg_svd_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_linalg_svd_out_tttt _U _S _Vh _A =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_linalg_svd_out(
*$(at::Tensor* _U)
, *$(at::Tensor* _S)
, *$(at::Tensor* _Vh)
, *$(at::Tensor* _A)));
}|]
linalg_svd_tbs
:: Ptr Tensor
-> CBool
-> Ptr StdString
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
linalg_svd_tbs _A _full_matrices _driver =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::linalg_svd(
*$(at::Tensor* _A)
, $(bool _full_matrices)
, *$(std::string* _driver)));
}|]
linalg_svd_tb
:: Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
linalg_svd_tb _A _full_matrices =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::linalg_svd(
*$(at::Tensor* _A)
, $(bool _full_matrices)));
}|]
linalg_svd_t
:: Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
linalg_svd_t _A =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::linalg_svd(
*$(at::Tensor* _A)));
}|]
linalg_svd_out_ttttbs
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> Ptr StdString
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
linalg_svd_out_ttttbs _U _S _Vh _A _full_matrices _driver =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::linalg_svd_out(
*$(at::Tensor* _U)
, *$(at::Tensor* _S)
, *$(at::Tensor* _Vh)
, *$(at::Tensor* _A)
, $(bool _full_matrices)
, *$(std::string* _driver)));
}|]
linalg_svd_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
linalg_svd_out_ttttb _U _S _Vh _A _full_matrices =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::linalg_svd_out(
*$(at::Tensor* _U)
, *$(at::Tensor* _S)
, *$(at::Tensor* _Vh)
, *$(at::Tensor* _A)
, $(bool _full_matrices)));
}|]
linalg_svd_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
linalg_svd_out_tttt _U _S _Vh _A =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::linalg_svd_out(
*$(at::Tensor* _U)
, *$(at::Tensor* _S)
, *$(at::Tensor* _Vh)
, *$(at::Tensor* _A)));
}|]
linalg_svdvals_ts
:: Ptr Tensor
-> Ptr StdString
-> IO (Ptr Tensor)
linalg_svdvals_ts _A _driver =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_svdvals(
*$(at::Tensor* _A)
, *$(std::string* _driver)));
}|]
linalg_svdvals_t
:: Ptr Tensor
-> IO (Ptr Tensor)
linalg_svdvals_t _A =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_svdvals(
*$(at::Tensor* _A)));
}|]
linalg_svdvals_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr StdString
-> IO (Ptr Tensor)
linalg_svdvals_out_tts _out _A _driver =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_svdvals_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _A)
, *$(std::string* _driver)));
}|]
linalg_svdvals_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_svdvals_out_tt _out _A =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_svdvals_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _A)));
}|]
linalg_cond_ts
:: Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
linalg_cond_ts _self _p =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_cond(
*$(at::Tensor* _self)
, *$(at::Scalar* _p)));
}|]
linalg_cond_t
:: Ptr Tensor
-> IO (Ptr Tensor)
linalg_cond_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_cond(
*$(at::Tensor* _self)));
}|]
linalg_cond_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
linalg_cond_out_tts _out _self _p =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_cond_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _p)));
}|]
linalg_cond_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_cond_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_cond_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
linalg_pinv_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_pinv_tttb _self _atol _rtol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)
, *$(at::Tensor* _atol)
, *$(at::Tensor* _rtol)
, $(bool _hermitian)));
}|]
linalg_pinv_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_pinv_ttt _self _atol _rtol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)
, *$(at::Tensor* _atol)
, *$(at::Tensor* _rtol)));
}|]
linalg_pinv_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_pinv_tt _self _atol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)
, *$(at::Tensor* _atol)));
}|]
linalg_pinv_t
:: Ptr Tensor
-> IO (Ptr Tensor)
linalg_pinv_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)));
}|]
linalg_pinv_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_pinv_out_ttttb _out _self _atol _rtol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _atol)
, *$(at::Tensor* _rtol)
, $(bool _hermitian)));
}|]
linalg_pinv_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_pinv_out_tttt _out _self _atol _rtol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _atol)
, *$(at::Tensor* _rtol)));
}|]
linalg_pinv_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_pinv_out_ttt _out _self _atol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _atol)));
}|]
linalg_pinv_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_pinv_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
linalg_pinv_tddb
:: Ptr Tensor
-> CDouble
-> CDouble
-> CBool
-> IO (Ptr Tensor)
linalg_pinv_tddb _self _atol _rtol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)
, $(double _atol)
, $(double _rtol)
, $(bool _hermitian)));
}|]
linalg_pinv_tdd
:: Ptr Tensor
-> CDouble
-> CDouble
-> IO (Ptr Tensor)
linalg_pinv_tdd _self _atol _rtol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)
, $(double _atol)
, $(double _rtol)));
}|]
linalg_pinv_td
:: Ptr Tensor
-> CDouble
-> IO (Ptr Tensor)
linalg_pinv_td _self _atol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)
, $(double _atol)));
}|]
linalg_pinv_out_ttddb
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CDouble
-> CBool
-> IO (Ptr Tensor)
linalg_pinv_out_ttddb _out _self _atol _rtol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _atol)
, $(double _rtol)
, $(bool _hermitian)));
}|]
linalg_pinv_out_ttdd
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CDouble
-> IO (Ptr Tensor)
linalg_pinv_out_ttdd _out _self _atol _rtol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _atol)
, $(double _rtol)));
}|]
linalg_pinv_out_ttd
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> IO (Ptr Tensor)
linalg_pinv_out_ttd _out _self _atol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _atol)));
}|]
linalg_pinv_tdb
:: Ptr Tensor
-> CDouble
-> CBool
-> IO (Ptr Tensor)
linalg_pinv_tdb _self _rcond _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)
, $(double _rcond)
, $(bool _hermitian)));
}|]
linalg_pinv_ttb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_pinv_ttb _self _rcond _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv(
*$(at::Tensor* _self)
, *$(at::Tensor* _rcond)
, $(bool _hermitian)));
}|]
linalg_pinv_out_ttdb
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CBool
-> IO (Ptr Tensor)
linalg_pinv_out_ttdb _out _self _rcond _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _rcond)
, $(bool _hermitian)));
}|]
linalg_pinv_out_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_pinv_out_tttb _out _self _rcond _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_pinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _rcond)
, $(bool _hermitian)));
}|]
_linalg_solve_ex_ttbb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_linalg_solve_ex_ttbb _A _B _left _check_errors =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_linalg_solve_ex(
*$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)
, $(bool _check_errors)));
}|]
_linalg_solve_ex_ttb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_linalg_solve_ex_ttb _A _B _left =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_linalg_solve_ex(
*$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)));
}|]
_linalg_solve_ex_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_linalg_solve_ex_tt _A _B =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_linalg_solve_ex(
*$(at::Tensor* _A)
, *$(at::Tensor* _B)));
}|]
_linalg_solve_ex_out_ttttttbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_linalg_solve_ex_out_ttttttbb _result _LU _pivots _info _A _B _left _check_errors =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_linalg_solve_ex_out(
*$(at::Tensor* _result)
, *$(at::Tensor* _LU)
, *$(at::Tensor* _pivots)
, *$(at::Tensor* _info)
, *$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)
, $(bool _check_errors)));
}|]
_linalg_solve_ex_out_ttttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_linalg_solve_ex_out_ttttttb _result _LU _pivots _info _A _B _left =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_linalg_solve_ex_out(
*$(at::Tensor* _result)
, *$(at::Tensor* _LU)
, *$(at::Tensor* _pivots)
, *$(at::Tensor* _info)
, *$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)));
}|]
_linalg_solve_ex_out_tttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_linalg_solve_ex_out_tttttt _result _LU _pivots _info _A _B =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_linalg_solve_ex_out(
*$(at::Tensor* _result)
, *$(at::Tensor* _LU)
, *$(at::Tensor* _pivots)
, *$(at::Tensor* _info)
, *$(at::Tensor* _A)
, *$(at::Tensor* _B)));
}|]
linalg_solve_ex_ttbb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_solve_ex_ttbb _A _B _left _check_errors =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_solve_ex(
*$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)
, $(bool _check_errors)));
}|]
linalg_solve_ex_ttb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_solve_ex_ttb _A _B _left =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_solve_ex(
*$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)));
}|]
linalg_solve_ex_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_solve_ex_tt _A _B =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_solve_ex(
*$(at::Tensor* _A)
, *$(at::Tensor* _B)));
}|]
linalg_solve_ex_out_ttttbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_solve_ex_out_ttttbb _result _info _A _B _left _check_errors =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_solve_ex_out(
*$(at::Tensor* _result)
, *$(at::Tensor* _info)
, *$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)
, $(bool _check_errors)));
}|]
linalg_solve_ex_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_solve_ex_out_ttttb _result _info _A _B _left =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_solve_ex_out(
*$(at::Tensor* _result)
, *$(at::Tensor* _info)
, *$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)));
}|]
linalg_solve_ex_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_solve_ex_out_tttt _result _info _A _B =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_solve_ex_out(
*$(at::Tensor* _result)
, *$(at::Tensor* _info)
, *$(at::Tensor* _A)
, *$(at::Tensor* _B)));
}|]
linalg_solve_ttb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_solve_ttb _A _B _left =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_solve(
*$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)));
}|]
linalg_solve_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_solve_tt _A _B =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_solve(
*$(at::Tensor* _A)
, *$(at::Tensor* _B)));
}|]
linalg_solve_out_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_solve_out_tttb _out _A _B _left =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_solve_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _A)
, *$(at::Tensor* _B)
, $(bool _left)));
}|]
linalg_solve_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_solve_out_ttt _out _A _B =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_solve_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _A)
, *$(at::Tensor* _B)));
}|]
linalg_tensorinv_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
linalg_tensorinv_tl _self _ind =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_tensorinv(
*$(at::Tensor* _self)
, $(int64_t _ind)));
}|]
linalg_tensorinv_t
:: Ptr Tensor
-> IO (Ptr Tensor)
linalg_tensorinv_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_tensorinv(
*$(at::Tensor* _self)));
}|]
linalg_tensorinv_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
linalg_tensorinv_out_ttl _out _self _ind =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_tensorinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _ind)));
}|]
linalg_tensorinv_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_tensorinv_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_tensorinv_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
linalg_tensorsolve_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
linalg_tensorsolve_ttl _self _other _dims =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_tensorsolve(
*$(at::Tensor* _self)
, *$(at::Tensor* _other)
, *$(std::vector<int64_t>* _dims)));
}|]
linalg_tensorsolve_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_tensorsolve_tt _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_tensorsolve(
*$(at::Tensor* _self)
, *$(at::Tensor* _other)));
}|]
linalg_tensorsolve_out_tttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
linalg_tensorsolve_out_tttl _out _self _other _dims =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_tensorsolve_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _other)
, *$(std::vector<int64_t>* _dims)));
}|]
linalg_tensorsolve_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_tensorsolve_out_ttt _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_tensorsolve_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _other)));
}|]
linalg_qr_ts
:: Ptr Tensor
-> Ptr StdString
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_qr_ts _A _mode =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_qr(
*$(at::Tensor* _A)
, *$(std::string* _mode)));
}|]
linalg_qr_t
:: Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_qr_t _A =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_qr(
*$(at::Tensor* _A)));
}|]
linalg_qr_out_ttts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr StdString
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_qr_out_ttts _Q _R _A _mode =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_qr_out(
*$(at::Tensor* _Q)
, *$(at::Tensor* _R)
, *$(at::Tensor* _A)
, *$(std::string* _mode)));
}|]
linalg_qr_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
linalg_qr_out_ttt _Q _R _A =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::linalg_qr_out(
*$(at::Tensor* _Q)
, *$(at::Tensor* _R)
, *$(at::Tensor* _A)));
}|]
linalg_matrix_power_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
linalg_matrix_power_tl _self _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_power(
*$(at::Tensor* _self)
, $(int64_t _n)));
}|]
linalg_matrix_power_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
linalg_matrix_power_out_ttl _out _self _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_power_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _n)));
}|]
linalg_matrix_rank_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_matrix_rank_tttb _input _atol _rtol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _input)
, *$(at::Tensor* _atol)
, *$(at::Tensor* _rtol)
, $(bool _hermitian)));
}|]
linalg_matrix_rank_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_matrix_rank_ttt _input _atol _rtol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _input)
, *$(at::Tensor* _atol)
, *$(at::Tensor* _rtol)));
}|]
linalg_matrix_rank_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_matrix_rank_tt _input _atol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _input)
, *$(at::Tensor* _atol)));
}|]
linalg_matrix_rank_t
:: Ptr Tensor
-> IO (Ptr Tensor)
linalg_matrix_rank_t _input =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _input)));
}|]
linalg_matrix_rank_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_matrix_rank_out_ttttb _out _input _atol _rtol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _atol)
, *$(at::Tensor* _rtol)
, $(bool _hermitian)));
}|]
linalg_matrix_rank_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_matrix_rank_out_tttt _out _input _atol _rtol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _atol)
, *$(at::Tensor* _rtol)));
}|]
linalg_matrix_rank_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_matrix_rank_out_ttt _out _input _atol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _atol)));
}|]
linalg_matrix_rank_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
linalg_matrix_rank_out_tt _out _input =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _input)));
}|]
linalg_matrix_rank_tddb
:: Ptr Tensor
-> CDouble
-> CDouble
-> CBool
-> IO (Ptr Tensor)
linalg_matrix_rank_tddb _self _atol _rtol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _self)
, $(double _atol)
, $(double _rtol)
, $(bool _hermitian)));
}|]
linalg_matrix_rank_tdd
:: Ptr Tensor
-> CDouble
-> CDouble
-> IO (Ptr Tensor)
linalg_matrix_rank_tdd _self _atol _rtol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _self)
, $(double _atol)
, $(double _rtol)));
}|]
linalg_matrix_rank_td
:: Ptr Tensor
-> CDouble
-> IO (Ptr Tensor)
linalg_matrix_rank_td _self _atol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _self)
, $(double _atol)));
}|]
linalg_matrix_rank_out_ttddb
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CDouble
-> CBool
-> IO (Ptr Tensor)
linalg_matrix_rank_out_ttddb _out _self _atol _rtol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _atol)
, $(double _rtol)
, $(bool _hermitian)));
}|]
linalg_matrix_rank_out_ttdd
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CDouble
-> IO (Ptr Tensor)
linalg_matrix_rank_out_ttdd _out _self _atol _rtol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _atol)
, $(double _rtol)));
}|]
linalg_matrix_rank_out_ttd
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> IO (Ptr Tensor)
linalg_matrix_rank_out_ttd _out _self _atol =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _atol)));
}|]
linalg_matrix_rank_tdb
:: Ptr Tensor
-> CDouble
-> CBool
-> IO (Ptr Tensor)
linalg_matrix_rank_tdb _self _tol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _self)
, $(double _tol)
, $(bool _hermitian)));
}|]
linalg_matrix_rank_out_ttdb
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CBool
-> IO (Ptr Tensor)
linalg_matrix_rank_out_ttdb _out _self _tol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _tol)
, $(bool _hermitian)));
}|]
linalg_matrix_rank_ttb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_matrix_rank_ttb _input _tol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank(
*$(at::Tensor* _input)
, *$(at::Tensor* _tol)
, $(bool _hermitian)));
}|]
linalg_matrix_rank_out_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
linalg_matrix_rank_out_tttb _out _input _tol _hermitian =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_matrix_rank_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _tol)
, $(bool _hermitian)));
}|]
linalg_multi_dot_l
:: Ptr TensorList
-> IO (Ptr Tensor)
linalg_multi_dot_l _tensors =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_multi_dot(
*$(std::vector<at::Tensor>* _tensors)));
}|]
linalg_multi_dot_out_tl
:: Ptr Tensor
-> Ptr TensorList
-> IO (Ptr Tensor)
linalg_multi_dot_out_tl _out _tensors =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::linalg_multi_dot_out(
*$(at::Tensor* _out)
, *$(std::vector<at::Tensor>* _tensors)));
}|]
nested_to_padded_tensor_tdl
:: Ptr Tensor
-> CDouble
-> Ptr IntArray
-> IO (Ptr Tensor)
nested_to_padded_tensor_tdl _self _padding _output_size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::nested_to_padded_tensor(
*$(at::Tensor* _self)
, $(double _padding)
, *$(std::vector<int64_t>* _output_size)));
}|]
nested_to_padded_tensor_td
:: Ptr Tensor
-> CDouble
-> IO (Ptr Tensor)
nested_to_padded_tensor_td _self _padding =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::nested_to_padded_tensor(
*$(at::Tensor* _self)
, $(double _padding)));
}|]
_test_serialization_subcmul_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
_test_serialization_subcmul_tts _self _other _alpha =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_serialization_subcmul(
*$(at::Tensor* _self)
, *$(at::Tensor* _other)
, *$(at::Scalar* _alpha)));
}|]
_test_serialization_subcmul_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_test_serialization_subcmul_tt _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_serialization_subcmul(
*$(at::Tensor* _self)
, *$(at::Tensor* _other)));
}|]
_test_optional_intlist_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_test_optional_intlist_tl _values _addends =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_optional_intlist(
*$(at::Tensor* _values)
, *$(std::vector<int64_t>* _addends)));
}|]
_test_optional_filled_intlist_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_test_optional_filled_intlist_tl _values _addends =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_optional_filled_intlist(
*$(at::Tensor* _values)
, *$(std::vector<int64_t>* _addends)));
}|]
_test_optional_floatlist_ta
:: Ptr Tensor
-> Ptr (StdVector CDouble)
-> IO (Ptr Tensor)
_test_optional_floatlist_ta _values _addends =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_optional_floatlist(
*$(at::Tensor* _values)
, *$(std::vector<double>* _addends)));
}|]
_test_string_default_tss
:: Ptr Tensor
-> Ptr StdString
-> Ptr StdString
-> IO (Ptr Tensor)
_test_string_default_tss _dummy _a _b =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_string_default(
*$(at::Tensor* _dummy)
, *$(std::string* _a)
, *$(std::string* _b)));
}|]
_test_string_default_ts
:: Ptr Tensor
-> Ptr StdString
-> IO (Ptr Tensor)
_test_string_default_ts _dummy _a =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_string_default(
*$(at::Tensor* _dummy)
, *$(std::string* _a)));
}|]
_test_string_default_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_test_string_default_t _dummy =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_string_default(
*$(at::Tensor* _dummy)));
}|]
_test_ambiguous_defaults_tll
:: Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
_test_ambiguous_defaults_tll _dummy _a _b =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_ambiguous_defaults(
*$(at::Tensor* _dummy)
, $(int64_t _a)
, $(int64_t _b)));
}|]
_test_ambiguous_defaults_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
_test_ambiguous_defaults_tl _dummy _a =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_ambiguous_defaults(
*$(at::Tensor* _dummy)
, $(int64_t _a)));
}|]
_test_ambiguous_defaults_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_test_ambiguous_defaults_t _dummy =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_ambiguous_defaults(
*$(at::Tensor* _dummy)));
}|]
_test_ambiguous_defaults_tls
:: Ptr Tensor
-> Int64
-> Ptr StdString
-> IO (Ptr Tensor)
_test_ambiguous_defaults_tls _dummy _a _b =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_ambiguous_defaults(
*$(at::Tensor* _dummy)
, $(int64_t _a)
, *$(std::string* _b)));
}|]
_test_warn_in_autograd_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_test_warn_in_autograd_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_warn_in_autograd(
*$(at::Tensor* _self)));
}|]
_test_autograd_multiple_dispatch_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_test_autograd_multiple_dispatch_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_autograd_multiple_dispatch(
*$(at::Tensor* _self)));
}|]
_test_autograd_multiple_dispatch_tb
:: Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
_test_autograd_multiple_dispatch_tb _self _b =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_autograd_multiple_dispatch(
*$(at::Tensor* _self)
, $(bool _b)));
}|]
_test_autograd_multiple_dispatch_view_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_test_autograd_multiple_dispatch_view_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_autograd_multiple_dispatch_view(
*$(at::Tensor* _self)));
}|]
_test_autograd_multiple_dispatch_view_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_test_autograd_multiple_dispatch_view_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_test_autograd_multiple_dispatch_view_copy(
*$(at::Tensor* _self)));
}|]
segment_reduce_tstttlbs
:: Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> Ptr Scalar
-> IO (Ptr Tensor)
segment_reduce_tstttlbs _data _reduce _lengths _indices _offsets _axis _unsafe _initial =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::segment_reduce(
*$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)
, *$(at::Tensor* _indices)
, *$(at::Tensor* _offsets)
, $(int64_t _axis)
, $(bool _unsafe)
, *$(at::Scalar* _initial)));
}|]
segment_reduce_tstttlb
:: Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> IO (Ptr Tensor)
segment_reduce_tstttlb _data _reduce _lengths _indices _offsets _axis _unsafe =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::segment_reduce(
*$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)
, *$(at::Tensor* _indices)
, *$(at::Tensor* _offsets)
, $(int64_t _axis)
, $(bool _unsafe)));
}|]
segment_reduce_tstttl
:: Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
segment_reduce_tstttl _data _reduce _lengths _indices _offsets _axis =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::segment_reduce(
*$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)
, *$(at::Tensor* _indices)
, *$(at::Tensor* _offsets)
, $(int64_t _axis)));
}|]
segment_reduce_tsttt
:: Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
segment_reduce_tsttt _data _reduce _lengths _indices _offsets =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::segment_reduce(
*$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)
, *$(at::Tensor* _indices)
, *$(at::Tensor* _offsets)));
}|]
segment_reduce_tstt
:: Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
segment_reduce_tstt _data _reduce _lengths _indices =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::segment_reduce(
*$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)
, *$(at::Tensor* _indices)));
}|]
segment_reduce_tst
:: Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> IO (Ptr Tensor)
segment_reduce_tst _data _reduce _lengths =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::segment_reduce(
*$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)));
}|]
segment_reduce_ts
:: Ptr Tensor
-> Ptr StdString
-> IO (Ptr Tensor)
segment_reduce_ts _data _reduce =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::segment_reduce(
*$(at::Tensor* _data)
, *$(std::string* _reduce)));
}|]
_segment_reduce_backward_tttsttls
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Ptr Scalar
-> IO (Ptr Tensor)
_segment_reduce_backward_tttsttls _grad _output _data _reduce _lengths _offsets _axis _initial =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_segment_reduce_backward(
*$(at::Tensor* _grad)
, *$(at::Tensor* _output)
, *$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)
, *$(at::Tensor* _offsets)
, $(int64_t _axis)
, *$(at::Scalar* _initial)));
}|]
_segment_reduce_backward_tttsttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
_segment_reduce_backward_tttsttl _grad _output _data _reduce _lengths _offsets _axis =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_segment_reduce_backward(
*$(at::Tensor* _grad)
, *$(at::Tensor* _output)
, *$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)
, *$(at::Tensor* _offsets)
, $(int64_t _axis)));
}|]
_segment_reduce_backward_tttstt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_segment_reduce_backward_tttstt _grad _output _data _reduce _lengths _offsets =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_segment_reduce_backward(
*$(at::Tensor* _grad)
, *$(at::Tensor* _output)
, *$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)
, *$(at::Tensor* _offsets)));
}|]
_segment_reduce_backward_tttst
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr StdString
-> Ptr Tensor
-> IO (Ptr Tensor)
_segment_reduce_backward_tttst _grad _output _data _reduce _lengths =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_segment_reduce_backward(
*$(at::Tensor* _grad)
, *$(at::Tensor* _output)
, *$(at::Tensor* _data)
, *$(std::string* _reduce)
, *$(at::Tensor* _lengths)));
}|]
_segment_reduce_backward_ttts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr StdString
-> IO (Ptr Tensor)
_segment_reduce_backward_ttts _grad _output _data _reduce =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_segment_reduce_backward(
*$(at::Tensor* _grad)
, *$(at::Tensor* _output)
, *$(at::Tensor* _data)
, *$(std::string* _reduce)));
}|]
pad_sequence_lbd
:: Ptr TensorList
-> CBool
-> CDouble
-> IO (Ptr Tensor)
pad_sequence_lbd _sequences _batch_first _padding_value =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::pad_sequence(
*$(std::vector<at::Tensor>* _sequences)
, $(bool _batch_first)
, $(double _padding_value)));
}|]
pad_sequence_lb
:: Ptr TensorList
-> CBool
-> IO (Ptr Tensor)
pad_sequence_lb _sequences _batch_first =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::pad_sequence(
*$(std::vector<at::Tensor>* _sequences)
, $(bool _batch_first)));
}|]
pad_sequence_l
:: Ptr TensorList
-> IO (Ptr Tensor)
pad_sequence_l _sequences =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::pad_sequence(
*$(std::vector<at::Tensor>* _sequences)));
}|]
flatten_dense_tensors_l
:: Ptr TensorList
-> IO (Ptr Tensor)
flatten_dense_tensors_l _tensors =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::flatten_dense_tensors(
*$(std::vector<at::Tensor>* _tensors)));
}|]
unflatten_dense_tensors_tl
:: Ptr Tensor
-> Ptr TensorList
-> IO (Ptr TensorList)
unflatten_dense_tensors_tl _flat _tensors =
[C.throwBlock| std::vector<at::Tensor>* { return new std::vector<at::Tensor>(at::unflatten_dense_tensors(
*$(at::Tensor* _flat)
, *$(std::vector<at::Tensor>* _tensors)));
}|]
_nested_tensor_from_tensor_list_lsLDb
:: Ptr TensorList
-> ScalarType
-> Layout
-> DeviceType
-> CBool
-> IO (Ptr Tensor)
_nested_tensor_from_tensor_list_lsLDb _list _dtype _layout _device _pin_memory =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_from_tensor_list(
*$(std::vector<at::Tensor>* _list)
, $(at::ScalarType _dtype)
, $(at::Layout _layout)
, $(at::DeviceType _device)
, $(bool _pin_memory)));
}|]
_nested_tensor_from_tensor_list_lsLD
:: Ptr TensorList
-> ScalarType
-> Layout
-> DeviceType
-> IO (Ptr Tensor)
_nested_tensor_from_tensor_list_lsLD _list _dtype _layout _device =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_from_tensor_list(
*$(std::vector<at::Tensor>* _list)
, $(at::ScalarType _dtype)
, $(at::Layout _layout)
, $(at::DeviceType _device)));
}|]
_nested_tensor_from_tensor_list_lsL
:: Ptr TensorList
-> ScalarType
-> Layout
-> IO (Ptr Tensor)
_nested_tensor_from_tensor_list_lsL _list _dtype _layout =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_from_tensor_list(
*$(std::vector<at::Tensor>* _list)
, $(at::ScalarType _dtype)
, $(at::Layout _layout)));
}|]
_nested_tensor_from_tensor_list_ls
:: Ptr TensorList
-> ScalarType
-> IO (Ptr Tensor)
_nested_tensor_from_tensor_list_ls _list _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_from_tensor_list(
*$(std::vector<at::Tensor>* _list)
, $(at::ScalarType _dtype)));
}|]
_nested_tensor_from_tensor_list_l
:: Ptr TensorList
-> IO (Ptr Tensor)
_nested_tensor_from_tensor_list_l _list =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_from_tensor_list(
*$(std::vector<at::Tensor>* _list)));
}|]
_fw_primal_copy_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
_fw_primal_copy_tl _self _level =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_fw_primal_copy(
*$(at::Tensor* _self)
, $(int64_t _level)));
}|]
_make_dual_copy_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
_make_dual_copy_ttl _primal _tangent _level =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_make_dual_copy(
*$(at::Tensor* _primal)
, *$(at::Tensor* _tangent)
, $(int64_t _level)));
}|]
view_as_real_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
view_as_real_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::view_as_real_copy(
*$(at::Tensor* _self)));
}|]
view_as_complex_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
view_as_complex_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::view_as_complex_copy(
*$(at::Tensor* _self)));
}|]
_conj_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_conj_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_conj_copy(
*$(at::Tensor* _self)));
}|]
_neg_view_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_neg_view_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_neg_view_copy(
*$(at::Tensor* _self)));
}|]
as_strided_copy_tlll
:: Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> IO (Ptr Tensor)
as_strided_copy_tlll _self _size _stride _storage_offset =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::as_strided_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<int64_t>* _stride)
, $(int64_t _storage_offset)));
}|]
as_strided_copy_tll
:: Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
as_strided_copy_tll _self _size _stride =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::as_strided_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<int64_t>* _stride)));
}|]
_sparse_broadcast_to_copy_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_sparse_broadcast_to_copy_tl _self _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_broadcast_to_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)));
}|]
diagonal_copy_tlll
:: Ptr Tensor
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
diagonal_copy_tlll _self _offset _dim1 _dim2 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::diagonal_copy(
*$(at::Tensor* _self)
, $(int64_t _offset)
, $(int64_t _dim1)
, $(int64_t _dim2)));
}|]
diagonal_copy_tll
:: Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
diagonal_copy_tll _self _offset _dim1 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::diagonal_copy(
*$(at::Tensor* _self)
, $(int64_t _offset)
, $(int64_t _dim1)));
}|]
diagonal_copy_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
diagonal_copy_tl _self _offset =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::diagonal_copy(
*$(at::Tensor* _self)
, $(int64_t _offset)));
}|]
diagonal_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
diagonal_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::diagonal_copy(
*$(at::Tensor* _self)));
}|]
expand_copy_tlb
:: Ptr Tensor
-> Ptr IntArray
-> CBool
-> IO (Ptr Tensor)
expand_copy_tlb _self _size _implicit =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::expand_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)
, $(bool _implicit)));
}|]
expand_copy_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
expand_copy_tl _self _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::expand_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)));
}|]
permute_copy_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
permute_copy_tl _self _dims =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::permute_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dims)));
}|]
_reshape_alias_copy_tll
:: Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
_reshape_alias_copy_tll _self _size _stride =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_reshape_alias_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<int64_t>* _stride)));
}|]
select_copy_tll
:: Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
select_copy_tll _self _dim _index =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::select_copy(
*$(at::Tensor* _self)
, $(int64_t _dim)
, $(int64_t _index)));
}|]
detach_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
detach_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::detach_copy(
*$(at::Tensor* _self)));
}|]
slice_copy_tllll
:: Ptr Tensor
-> Int64
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
slice_copy_tllll _self _dim _start _end _step =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_copy(
*$(at::Tensor* _self)
, $(int64_t _dim)
, $(int64_t _start)
, $(int64_t _end)
, $(int64_t _step)));
}|]
slice_copy_tlll
:: Ptr Tensor
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
slice_copy_tlll _self _dim _start _end =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_copy(
*$(at::Tensor* _self)
, $(int64_t _dim)
, $(int64_t _start)
, $(int64_t _end)));
}|]
slice_copy_tll
:: Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
slice_copy_tll _self _dim _start =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_copy(
*$(at::Tensor* _self)
, $(int64_t _dim)
, $(int64_t _start)));
}|]
slice_copy_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
slice_copy_tl _self _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_copy(
*$(at::Tensor* _self)
, $(int64_t _dim)));
}|]
slice_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
slice_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_copy(
*$(at::Tensor* _self)));
}|]
split_copy_tll
:: Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr TensorList)
split_copy_tll _self _split_size _dim =
[C.throwBlock| std::vector<at::Tensor>* { return new std::vector<at::Tensor>(at::split_copy(
*$(at::Tensor* _self)
, $(int64_t _split_size)
, $(int64_t _dim)));
}|]
split_copy_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr TensorList)
split_copy_tl _self _split_size =
[C.throwBlock| std::vector<at::Tensor>* { return new std::vector<at::Tensor>(at::split_copy(
*$(at::Tensor* _self)
, $(int64_t _split_size)));
}|]
split_with_sizes_copy_tll
:: Ptr Tensor
-> Ptr IntArray
-> Int64
-> IO (Ptr TensorList)
split_with_sizes_copy_tll _self _split_sizes _dim =
[C.throwBlock| std::vector<at::Tensor>* { return new std::vector<at::Tensor>(at::split_with_sizes_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _split_sizes)
, $(int64_t _dim)));
}|]
split_with_sizes_copy_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr TensorList)
split_with_sizes_copy_tl _self _split_sizes =
[C.throwBlock| std::vector<at::Tensor>* { return new std::vector<at::Tensor>(at::split_with_sizes_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _split_sizes)));
}|]
squeeze_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
squeeze_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::squeeze_copy(
*$(at::Tensor* _self)));
}|]
squeeze_copy_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
squeeze_copy_tl _self _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::squeeze_copy(
*$(at::Tensor* _self)
, $(int64_t _dim)));
}|]
t_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
t_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::t_copy(
*$(at::Tensor* _self)));
}|]
transpose_copy_tll
:: Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
transpose_copy_tll _self _dim0 _dim1 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::transpose_copy(
*$(at::Tensor* _self)
, $(int64_t _dim0)
, $(int64_t _dim1)));
}|]
unsqueeze_copy_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
unsqueeze_copy_tl _self _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::unsqueeze_copy(
*$(at::Tensor* _self)
, $(int64_t _dim)));
}|]
_indices_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_indices_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_indices_copy(
*$(at::Tensor* _self)));
}|]
_values_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
_values_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_values_copy(
*$(at::Tensor* _self)));
}|]
indices_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
indices_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::indices_copy(
*$(at::Tensor* _self)));
}|]
values_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
values_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::values_copy(
*$(at::Tensor* _self)));
}|]
crow_indices_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
crow_indices_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::crow_indices_copy(
*$(at::Tensor* _self)));
}|]
col_indices_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
col_indices_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::col_indices_copy(
*$(at::Tensor* _self)));
}|]
ccol_indices_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
ccol_indices_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::ccol_indices_copy(
*$(at::Tensor* _self)));
}|]
row_indices_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
row_indices_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::row_indices_copy(
*$(at::Tensor* _self)));
}|]
unbind_copy_tl
:: Ptr Tensor
-> Int64
-> IO (Ptr TensorList)
unbind_copy_tl _self _dim =
[C.throwBlock| std::vector<at::Tensor>* { return new std::vector<at::Tensor>(at::unbind_copy(
*$(at::Tensor* _self)
, $(int64_t _dim)));
}|]
unbind_copy_t
:: Ptr Tensor
-> IO (Ptr TensorList)
unbind_copy_t _self =
[C.throwBlock| std::vector<at::Tensor>* { return new std::vector<at::Tensor>(at::unbind_copy(
*$(at::Tensor* _self)));
}|]
unbind_copy_out_ltl
:: Ptr TensorList
-> Ptr Tensor
-> Int64
-> IO (())
unbind_copy_out_ltl _out _self _dim =
[C.throwBlock| void { (at::unbind_copy_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, $(int64_t _dim)));
}|]
unbind_copy_out_lt
:: Ptr TensorList
-> Ptr Tensor
-> IO (())
unbind_copy_out_lt _out _self =
[C.throwBlock| void { (at::unbind_copy_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)));
}|]
split_copy_out_ltll
:: Ptr TensorList
-> Ptr Tensor
-> Int64
-> Int64
-> IO (())
split_copy_out_ltll _out _self _split_size _dim =
[C.throwBlock| void { (at::split_copy_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, $(int64_t _split_size)
, $(int64_t _dim)));
}|]
split_copy_out_ltl
:: Ptr TensorList
-> Ptr Tensor
-> Int64
-> IO (())
split_copy_out_ltl _out _self _split_size =
[C.throwBlock| void { (at::split_copy_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, $(int64_t _split_size)));
}|]
split_with_sizes_copy_out_ltll
:: Ptr TensorList
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> IO (())
split_with_sizes_copy_out_ltll _out _self _split_sizes _dim =
[C.throwBlock| void { (at::split_with_sizes_copy_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _split_sizes)
, $(int64_t _dim)));
}|]
split_with_sizes_copy_out_ltl
:: Ptr TensorList
-> Ptr Tensor
-> Ptr IntArray
-> IO (())
split_with_sizes_copy_out_ltl _out _self _split_sizes =
[C.throwBlock| void { (at::split_with_sizes_copy_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _split_sizes)));
}|]
view_copy_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
view_copy_tl _self _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::view_copy(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)));
}|]
view_copy_ts
:: Ptr Tensor
-> ScalarType
-> IO (Ptr Tensor)
view_copy_ts _self _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::view_copy(
*$(at::Tensor* _self)
, $(at::ScalarType _dtype)));
}|]
unfold_copy_tlll
:: Ptr Tensor
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
unfold_copy_tlll _self _dimension _size _step =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::unfold_copy(
*$(at::Tensor* _self)
, $(int64_t _dimension)
, $(int64_t _size)
, $(int64_t _step)));
}|]
alias_copy_t
:: Ptr Tensor
-> IO (Ptr Tensor)
alias_copy_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::alias_copy(
*$(at::Tensor* _self)));
}|]
_nested_tensor_softmax_with_shape_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_nested_tensor_softmax_with_shape_tt _self _query =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_softmax_with_shape(
*$(at::Tensor* _self)
, *$(at::Tensor* _query)));
}|]
_transformer_encoder_layer_fwd_tllttttbbdtttttttttl
:: Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> CDouble
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
_transformer_encoder_layer_fwd_tllttttbbdtttttttttl _src _embed_dim _num_heads _qkv_weight _qkv_bias _proj_weight _proj_bias _use_gelu _norm_first _eps _norm_weight_1 _norm_bias_1 _norm_weight_2 _norm_bias_2 _ffn_weight_1 _ffn_bias_1 _ffn_weight_2 _ffn_bias_2 _mask _mask_type =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_transformer_encoder_layer_fwd(
*$(at::Tensor* _src)
, $(int64_t _embed_dim)
, $(int64_t _num_heads)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)
, $(bool _use_gelu)
, $(bool _norm_first)
, $(double _eps)
, *$(at::Tensor* _norm_weight_1)
, *$(at::Tensor* _norm_bias_1)
, *$(at::Tensor* _norm_weight_2)
, *$(at::Tensor* _norm_bias_2)
, *$(at::Tensor* _ffn_weight_1)
, *$(at::Tensor* _ffn_bias_1)
, *$(at::Tensor* _ffn_weight_2)
, *$(at::Tensor* _ffn_bias_2)
, *$(at::Tensor* _mask)
, $(int64_t _mask_type)));
}|]
_transformer_encoder_layer_fwd_tllttttbbdttttttttt
:: Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> CDouble
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_transformer_encoder_layer_fwd_tllttttbbdttttttttt _src _embed_dim _num_heads _qkv_weight _qkv_bias _proj_weight _proj_bias _use_gelu _norm_first _eps _norm_weight_1 _norm_bias_1 _norm_weight_2 _norm_bias_2 _ffn_weight_1 _ffn_bias_1 _ffn_weight_2 _ffn_bias_2 _mask =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_transformer_encoder_layer_fwd(
*$(at::Tensor* _src)
, $(int64_t _embed_dim)
, $(int64_t _num_heads)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)
, $(bool _use_gelu)
, $(bool _norm_first)
, $(double _eps)
, *$(at::Tensor* _norm_weight_1)
, *$(at::Tensor* _norm_bias_1)
, *$(at::Tensor* _norm_weight_2)
, *$(at::Tensor* _norm_bias_2)
, *$(at::Tensor* _ffn_weight_1)
, *$(at::Tensor* _ffn_bias_1)
, *$(at::Tensor* _ffn_weight_2)
, *$(at::Tensor* _ffn_bias_2)
, *$(at::Tensor* _mask)));
}|]
_transformer_encoder_layer_fwd_tllttttbbdtttttttt
:: Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> CDouble
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_transformer_encoder_layer_fwd_tllttttbbdtttttttt _src _embed_dim _num_heads _qkv_weight _qkv_bias _proj_weight _proj_bias _use_gelu _norm_first _eps _norm_weight_1 _norm_bias_1 _norm_weight_2 _norm_bias_2 _ffn_weight_1 _ffn_bias_1 _ffn_weight_2 _ffn_bias_2 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_transformer_encoder_layer_fwd(
*$(at::Tensor* _src)
, $(int64_t _embed_dim)
, $(int64_t _num_heads)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)
, $(bool _use_gelu)
, $(bool _norm_first)
, $(double _eps)
, *$(at::Tensor* _norm_weight_1)
, *$(at::Tensor* _norm_bias_1)
, *$(at::Tensor* _norm_weight_2)
, *$(at::Tensor* _norm_bias_2)
, *$(at::Tensor* _ffn_weight_1)
, *$(at::Tensor* _ffn_bias_1)
, *$(at::Tensor* _ffn_weight_2)
, *$(at::Tensor* _ffn_bias_2)));
}|]
_native_multi_head_attention_tttlltttttbbl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_native_multi_head_attention_tttlltttttbbl _query _key _value _embed_dim _num_head _qkv_weight _qkv_bias _proj_weight _proj_bias _mask _need_weights _average_attn_weights _mask_type =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_native_multi_head_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, $(int64_t _embed_dim)
, $(int64_t _num_head)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)
, *$(at::Tensor* _mask)
, $(bool _need_weights)
, $(bool _average_attn_weights)
, $(int64_t _mask_type)));
}|]
_native_multi_head_attention_tttlltttttbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_native_multi_head_attention_tttlltttttbb _query _key _value _embed_dim _num_head _qkv_weight _qkv_bias _proj_weight _proj_bias _mask _need_weights _average_attn_weights =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_native_multi_head_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, $(int64_t _embed_dim)
, $(int64_t _num_head)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)
, *$(at::Tensor* _mask)
, $(bool _need_weights)
, $(bool _average_attn_weights)));
}|]
_native_multi_head_attention_tttlltttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_native_multi_head_attention_tttlltttttb _query _key _value _embed_dim _num_head _qkv_weight _qkv_bias _proj_weight _proj_bias _mask _need_weights =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_native_multi_head_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, $(int64_t _embed_dim)
, $(int64_t _num_head)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)
, *$(at::Tensor* _mask)
, $(bool _need_weights)));
}|]
_native_multi_head_attention_tttllttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_native_multi_head_attention_tttllttttt _query _key _value _embed_dim _num_head _qkv_weight _qkv_bias _proj_weight _proj_bias _mask =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_native_multi_head_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, $(int64_t _embed_dim)
, $(int64_t _num_head)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)
, *$(at::Tensor* _mask)));
}|]
_native_multi_head_attention_tttlltttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_native_multi_head_attention_tttlltttt _query _key _value _embed_dim _num_head _qkv_weight _qkv_bias _proj_weight _proj_bias =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_native_multi_head_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, $(int64_t _embed_dim)
, $(int64_t _num_head)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)));
}|]
scaled_dot_product_attention_tttqdbdb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr OptionalTensor
-> CDouble
-> CBool
-> CDouble
-> CBool
-> IO (Ptr Tensor)
scaled_dot_product_attention_tttqdbdb _query _key _value _attn_mask _dropout_p _is_causal _scale _enable_gqa =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::scaled_dot_product_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, *$(std::optional<at::Tensor>* _attn_mask)
, $(double _dropout_p)
, $(bool _is_causal)
, $(double _scale)
, $(bool _enable_gqa)));
}|]
scaled_dot_product_attention_ttttdb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CBool
-> IO (Ptr Tensor)
scaled_dot_product_attention_ttttdb _query _key _value _attn_mask _dropout_p _is_causal =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::scaled_dot_product_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, *$(at::Tensor* _attn_mask)
, $(double _dropout_p)
, $(bool _is_causal)));
}|]
scaled_dot_product_attention_ttttd
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> IO (Ptr Tensor)
scaled_dot_product_attention_ttttd _query _key _value _attn_mask _dropout_p =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::scaled_dot_product_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, *$(at::Tensor* _attn_mask)
, $(double _dropout_p)));
}|]
scaled_dot_product_attention_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
scaled_dot_product_attention_tttt _query _key _value _attn_mask =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::scaled_dot_product_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, *$(at::Tensor* _attn_mask)));
}|]
scaled_dot_product_attention_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
scaled_dot_product_attention_ttt _query _key _value =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::scaled_dot_product_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)));
}|]
_fused_sdp_choice_ttttdb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CBool
-> IO (Int64)
_fused_sdp_choice_ttttdb _query _key _value _attn_mask _dropout_p _is_causal =
[C.throwBlock| int64_t { return (at::_fused_sdp_choice(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, *$(at::Tensor* _attn_mask)
, $(double _dropout_p)
, $(bool _is_causal)));
}|]
_fused_sdp_choice_ttttd
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> IO (Int64)
_fused_sdp_choice_ttttd _query _key _value _attn_mask _dropout_p =
[C.throwBlock| int64_t { return (at::_fused_sdp_choice(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, *$(at::Tensor* _attn_mask)
, $(double _dropout_p)));
}|]
_fused_sdp_choice_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Int64)
_fused_sdp_choice_tttt _query _key _value _attn_mask =
[C.throwBlock| int64_t { return (at::_fused_sdp_choice(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, *$(at::Tensor* _attn_mask)));
}|]
_fused_sdp_choice_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Int64)
_fused_sdp_choice_ttt _query _key _value =
[C.throwBlock| int64_t { return (at::_fused_sdp_choice(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)));
}|]
_triton_scaled_dot_attention_tttd
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> IO (Ptr Tensor)
_triton_scaled_dot_attention_tttd _q _k _v _dropout_p =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_triton_scaled_dot_attention(
*$(at::Tensor* _q)
, *$(at::Tensor* _k)
, *$(at::Tensor* _v)
, $(double _dropout_p)));
}|]
_triton_scaled_dot_attention_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_triton_scaled_dot_attention_ttt _q _k _v =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_triton_scaled_dot_attention(
*$(at::Tensor* _q)
, *$(at::Tensor* _k)
, *$(at::Tensor* _v)));
}|]
_triton_multi_head_attention_tttllttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_triton_multi_head_attention_tttllttttt _query _key _value _embed_dim _num_head _qkv_weight _qkv_bias _proj_weight _proj_bias _mask =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_triton_multi_head_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, $(int64_t _embed_dim)
, $(int64_t _num_head)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)
, *$(at::Tensor* _mask)));
}|]
_triton_multi_head_attention_tttlltttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_triton_multi_head_attention_tttlltttt _query _key _value _embed_dim _num_head _qkv_weight _qkv_bias _proj_weight _proj_bias =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_triton_multi_head_attention(
*$(at::Tensor* _query)
, *$(at::Tensor* _key)
, *$(at::Tensor* _value)
, $(int64_t _embed_dim)
, $(int64_t _num_head)
, *$(at::Tensor* _qkv_weight)
, *$(at::Tensor* _qkv_bias)
, *$(at::Tensor* _proj_weight)
, *$(at::Tensor* _proj_bias)));
}|]
special_airy_ai_t
:: Ptr Tensor
-> IO (Ptr Tensor)
special_airy_ai_t _x =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_airy_ai(
*$(at::Tensor* _x)));
}|]
special_airy_ai_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_airy_ai_out_tt _out _x =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_airy_ai_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)));
}|]
special_bessel_j0_t
:: Ptr Tensor
-> IO (Ptr Tensor)
special_bessel_j0_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_bessel_j0(
*$(at::Tensor* _self)));
}|]
special_bessel_j0_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_bessel_j0_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_bessel_j0_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
special_bessel_j1_t
:: Ptr Tensor
-> IO (Ptr Tensor)
special_bessel_j1_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_bessel_j1(
*$(at::Tensor* _self)));
}|]
special_bessel_j1_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_bessel_j1_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_bessel_j1_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
special_bessel_y0_t
:: Ptr Tensor
-> IO (Ptr Tensor)
special_bessel_y0_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_bessel_y0(
*$(at::Tensor* _self)));
}|]
special_bessel_y0_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_bessel_y0_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_bessel_y0_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
special_bessel_y1_t
:: Ptr Tensor
-> IO (Ptr Tensor)
special_bessel_y1_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_bessel_y1(
*$(at::Tensor* _self)));
}|]
special_bessel_y1_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_bessel_y1_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_bessel_y1_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
special_chebyshev_polynomial_t_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_t_tt _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_t(
*$(at::Tensor* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_t_st
:: Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_t_st _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_t(
*$(at::Scalar* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_t_ts
:: Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
special_chebyshev_polynomial_t_ts _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_t(
*$(at::Tensor* _x)
, *$(at::Scalar* _n)));
}|]
special_chebyshev_polynomial_t_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_t_out_ttt _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_t_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_t_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_t_out_tst _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_t_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_t_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
special_chebyshev_polynomial_t_out_tts _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_t_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Scalar* _n)));
}|]
special_chebyshev_polynomial_u_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_u_tt _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_u(
*$(at::Tensor* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_u_st
:: Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_u_st _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_u(
*$(at::Scalar* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_u_ts
:: Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
special_chebyshev_polynomial_u_ts _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_u(
*$(at::Tensor* _x)
, *$(at::Scalar* _n)));
}|]
special_chebyshev_polynomial_u_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_u_out_ttt _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_u_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_u_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_u_out_tst _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_u_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_u_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
special_chebyshev_polynomial_u_out_tts _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_u_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Scalar* _n)));
}|]
special_chebyshev_polynomial_v_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_v_tt _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_v(
*$(at::Tensor* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_v_st
:: Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_v_st _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_v(
*$(at::Scalar* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_v_ts
:: Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
special_chebyshev_polynomial_v_ts _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_v(
*$(at::Tensor* _x)
, *$(at::Scalar* _n)));
}|]
special_chebyshev_polynomial_v_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_v_out_ttt _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_v_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_v_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_v_out_tst _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_v_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_v_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
special_chebyshev_polynomial_v_out_tts _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_v_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Scalar* _n)));
}|]
special_chebyshev_polynomial_w_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_w_tt _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_w(
*$(at::Tensor* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_w_st
:: Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_w_st _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_w(
*$(at::Scalar* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_w_ts
:: Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
special_chebyshev_polynomial_w_ts _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_w(
*$(at::Tensor* _x)
, *$(at::Scalar* _n)));
}|]
special_chebyshev_polynomial_w_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_w_out_ttt _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_w_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_w_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
special_chebyshev_polynomial_w_out_tst _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_w_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _x)
, *$(at::Tensor* _n)));
}|]
special_chebyshev_polynomial_w_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
special_chebyshev_polynomial_w_out_tts _out _x _n =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::special_chebyshev_polynomial_w_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Scalar* _n)));
}|]