libtorch-ffi-2.0.0.0: src/Torch/Internal/Unmanaged/Native/Native2.hs

-- generated by using spec/Declarations.yaml

{-# LANGUAGE DataKinds #-}
{-# LANGUAGE PolyKinds #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE QuasiQuotes #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE OverloadedStrings #-}

module Torch.Internal.Unmanaged.Native.Native2 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>"


embedding_ttl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
embedding_ttl _weight _indices _padding_idx =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::embedding(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , $(int64_t _padding_idx)));
  }|]

embedding_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
embedding_tt _weight _indices =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::embedding(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)));
  }|]

embedding_backward_ttllbb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> CBool
  -> IO (Ptr Tensor)
embedding_backward_ttllbb _grad _indices _num_weights _padding_idx _scale_grad_by_freq _sparse =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::embedding_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _indices)
  , $(int64_t _num_weights)
  , $(int64_t _padding_idx)
  , $(bool _scale_grad_by_freq)
  , $(bool _sparse)));
  }|]

embedding_dense_backward_ttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
embedding_dense_backward_ttllb _grad_output _indices _num_weights _padding_idx _scale_grad_by_freq =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::embedding_dense_backward(
    *$(at::Tensor* _grad_output)
  , *$(at::Tensor* _indices)
  , $(int64_t _num_weights)
  , $(int64_t _padding_idx)
  , $(bool _scale_grad_by_freq)));
  }|]

embedding_renorm__ttdd
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
embedding_renorm__ttdd _self _indices _max_norm _norm_type =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::embedding_renorm_(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _indices)
  , $(double _max_norm)
  , $(double _norm_type)));
  }|]

embedding_sparse_backward_ttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
embedding_sparse_backward_ttllb _grad _indices _num_weights _padding_idx _scale_grad_by_freq =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::embedding_sparse_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _indices)
  , $(int64_t _num_weights)
  , $(int64_t _padding_idx)
  , $(bool _scale_grad_by_freq)));
  }|]

_embedding_bag_forward_only_tttblbtbl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_forward_only_tttblbtbl _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights _include_last_offset _padding_idx =
  [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::_embedding_bag_forward_only(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)
  , $(bool _include_last_offset)
  , $(int64_t _padding_idx)));
  }|]

_embedding_bag_forward_only_tttblbtb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_forward_only_tttblbtb _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights _include_last_offset =
  [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::_embedding_bag_forward_only(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)
  , $(bool _include_last_offset)));
  }|]

_embedding_bag_forward_only_tttblbt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_forward_only_tttblbt _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights =
  [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::_embedding_bag_forward_only(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)));
  }|]

_embedding_bag_forward_only_tttblb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_forward_only_tttblb _weight _indices _offsets _scale_grad_by_freq _mode _sparse =
  [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::_embedding_bag_forward_only(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)));
  }|]

_embedding_bag_forward_only_tttbl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_forward_only_tttbl _weight _indices _offsets _scale_grad_by_freq _mode =
  [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::_embedding_bag_forward_only(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)));
  }|]

_embedding_bag_forward_only_tttb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_forward_only_tttb _weight _indices _offsets _scale_grad_by_freq =
  [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::_embedding_bag_forward_only(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)));
  }|]

_embedding_bag_forward_only_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_forward_only_ttt _weight _indices _offsets =
  [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::_embedding_bag_forward_only(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)));
  }|]

_rowwise_prune_tts
  :: Ptr Tensor
  -> Ptr Tensor
  -> ScalarType
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
_rowwise_prune_tts _weight _mask _compressed_indices_dtype =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_rowwise_prune(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _mask)
  , $(at::ScalarType _compressed_indices_dtype)));
  }|]

row_stack_l
  :: Ptr TensorList
  -> IO (Ptr Tensor)
row_stack_l _tensors =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::row_stack(
    *$(std::vector<at::Tensor>* _tensors)));
  }|]

row_stack_out_tl
  :: Ptr Tensor
  -> Ptr TensorList
  -> IO (Ptr Tensor)
row_stack_out_tl _out _tensors =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::row_stack_out(
    *$(at::Tensor* _out)
  , *$(std::vector<at::Tensor>* _tensors)));
  }|]

embedding_bag_tttblbtb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
embedding_bag_tttblbtb _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights _include_last_offset =
  [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::embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)
  , $(bool _include_last_offset)));
  }|]

embedding_bag_tttblbt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
embedding_bag_tttblbt _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights =
  [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::embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)));
  }|]

embedding_bag_tttblb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
embedding_bag_tttblb _weight _indices _offsets _scale_grad_by_freq _mode _sparse =
  [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::embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)));
  }|]

embedding_bag_tttbl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
embedding_bag_tttbl _weight _indices _offsets _scale_grad_by_freq _mode =
  [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::embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)));
  }|]

embedding_bag_tttb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
embedding_bag_tttb _weight _indices _offsets _scale_grad_by_freq =
  [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::embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)));
  }|]

embedding_bag_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
embedding_bag_ttt _weight _indices _offsets =
  [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::embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)));
  }|]

embedding_bag_tttblbtbl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
embedding_bag_tttblbtbl _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights _include_last_offset _padding_idx =
  [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::embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)
  , $(bool _include_last_offset)
  , $(int64_t _padding_idx)));
  }|]

_embedding_bag_tttblbtbl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_tttblbtbl _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights _include_last_offset _padding_idx =
  [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::_embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)
  , $(bool _include_last_offset)
  , $(int64_t _padding_idx)));
  }|]

_embedding_bag_tttblbtb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_tttblbtb _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights _include_last_offset =
  [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::_embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)
  , $(bool _include_last_offset)));
  }|]

_embedding_bag_tttblbt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_tttblbt _weight _indices _offsets _scale_grad_by_freq _mode _sparse _per_sample_weights =
  [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::_embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)));
  }|]

_embedding_bag_tttblb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_tttblb _weight _indices _offsets _scale_grad_by_freq _mode _sparse =
  [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::_embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)));
  }|]

_embedding_bag_tttbl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_tttbl _weight _indices _offsets _scale_grad_by_freq _mode =
  [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::_embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)));
  }|]

_embedding_bag_tttb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_tttb _weight _indices _offsets _scale_grad_by_freq =
  [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::_embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , $(bool _scale_grad_by_freq)));
  }|]

_embedding_bag_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
_embedding_bag_ttt _weight _indices _offsets =
  [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::_embedding_bag(
    *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)));
  }|]

_embedding_bag_backward_ttttttlblbtl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
_embedding_bag_backward_ttttttlblbtl _grad _indices _offsets _offset2bag _bag_size _maximum_indices _num_weights _scale_grad_by_freq _mode _sparse _per_sample_weights _padding_idx =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_embedding_bag_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , *$(at::Tensor* _offset2bag)
  , *$(at::Tensor* _bag_size)
  , *$(at::Tensor* _maximum_indices)
  , $(int64_t _num_weights)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)
  , $(int64_t _padding_idx)));
  }|]

_embedding_bag_backward_ttttttlblbt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> CBool
  -> Int64
  -> CBool
  -> Ptr Tensor
  -> IO (Ptr Tensor)
_embedding_bag_backward_ttttttlblbt _grad _indices _offsets _offset2bag _bag_size _maximum_indices _num_weights _scale_grad_by_freq _mode _sparse _per_sample_weights =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_embedding_bag_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , *$(at::Tensor* _offset2bag)
  , *$(at::Tensor* _bag_size)
  , *$(at::Tensor* _maximum_indices)
  , $(int64_t _num_weights)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , $(bool _sparse)
  , *$(at::Tensor* _per_sample_weights)));
  }|]

_embedding_bag_sparse_backward_tttttlbltl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> CBool
  -> Int64
  -> Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
_embedding_bag_sparse_backward_tttttlbltl _grad _indices _offsets _offset2bag _bag_size _num_weights _scale_grad_by_freq _mode _per_sample_weights _padding_idx =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_embedding_bag_sparse_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , *$(at::Tensor* _offset2bag)
  , *$(at::Tensor* _bag_size)
  , $(int64_t _num_weights)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , *$(at::Tensor* _per_sample_weights)
  , $(int64_t _padding_idx)));
  }|]

_embedding_bag_sparse_backward_tttttlblt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> CBool
  -> Int64
  -> Ptr Tensor
  -> IO (Ptr Tensor)
_embedding_bag_sparse_backward_tttttlblt _grad _indices _offsets _offset2bag _bag_size _num_weights _scale_grad_by_freq _mode _per_sample_weights =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_embedding_bag_sparse_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , *$(at::Tensor* _offset2bag)
  , *$(at::Tensor* _bag_size)
  , $(int64_t _num_weights)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , *$(at::Tensor* _per_sample_weights)));
  }|]

_embedding_bag_dense_backward_tttttlbltl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> CBool
  -> Int64
  -> Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
_embedding_bag_dense_backward_tttttlbltl _grad _indices _offset2bag _bag_size _maximum_indices _num_weights _scale_grad_by_freq _mode _per_sample_weights _padding_idx =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_embedding_bag_dense_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offset2bag)
  , *$(at::Tensor* _bag_size)
  , *$(at::Tensor* _maximum_indices)
  , $(int64_t _num_weights)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , *$(at::Tensor* _per_sample_weights)
  , $(int64_t _padding_idx)));
  }|]

_embedding_bag_dense_backward_tttttlblt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> CBool
  -> Int64
  -> Ptr Tensor
  -> IO (Ptr Tensor)
_embedding_bag_dense_backward_tttttlblt _grad _indices _offset2bag _bag_size _maximum_indices _num_weights _scale_grad_by_freq _mode _per_sample_weights =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_embedding_bag_dense_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offset2bag)
  , *$(at::Tensor* _bag_size)
  , *$(at::Tensor* _maximum_indices)
  , $(int64_t _num_weights)
  , $(bool _scale_grad_by_freq)
  , $(int64_t _mode)
  , *$(at::Tensor* _per_sample_weights)));
  }|]

_embedding_bag_per_sample_weights_backward_tttttll
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> IO (Ptr Tensor)
_embedding_bag_per_sample_weights_backward_tttttll _grad _weight _indices _offsets _offset2bag _mode _padding_idx =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_embedding_bag_per_sample_weights_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , *$(at::Tensor* _offset2bag)
  , $(int64_t _mode)
  , $(int64_t _padding_idx)));
  }|]

_embedding_bag_per_sample_weights_backward_tttttl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
_embedding_bag_per_sample_weights_backward_tttttl _grad _weight _indices _offsets _offset2bag _mode =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_embedding_bag_per_sample_weights_backward(
    *$(at::Tensor* _grad)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _offsets)
  , *$(at::Tensor* _offset2bag)
  , $(int64_t _mode)));
  }|]

empty_lNoM
  :: Ptr IntArray
  -> Ptr DimnameList
  -> Ptr TensorOptions
  -> MemoryFormat
  -> IO (Ptr Tensor)
empty_lNoM _size _names _options _memory_format =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty(
    *$(std::vector<int64_t>* _size)
  , *$(std::vector<at::Dimname>* _names)
  , *$(at::TensorOptions* _options)
  , $(at::MemoryFormat _memory_format)));
  }|]

empty_lNo
  :: Ptr IntArray
  -> Ptr DimnameList
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
empty_lNo _size _names _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty(
    *$(std::vector<int64_t>* _size)
  , *$(std::vector<at::Dimname>* _names)
  , *$(at::TensorOptions* _options)));
  }|]

empty_lN
  :: Ptr IntArray
  -> Ptr DimnameList
  -> IO (Ptr Tensor)
empty_lN _size _names =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty(
    *$(std::vector<int64_t>* _size)
  , *$(std::vector<at::Dimname>* _names)));
  }|]

empty_loM
  :: Ptr IntArray
  -> Ptr TensorOptions
  -> MemoryFormat
  -> IO (Ptr Tensor)
empty_loM _size _options _memory_format =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty(
    *$(std::vector<int64_t>* _size)
  , *$(at::TensorOptions* _options)
  , $(at::MemoryFormat _memory_format)));
  }|]

empty_lo
  :: Ptr IntArray
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
empty_lo _size _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty(
    *$(std::vector<int64_t>* _size)
  , *$(at::TensorOptions* _options)));
  }|]

empty_l
  :: Ptr IntArray
  -> IO (Ptr Tensor)
empty_l _size =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty(
    *$(std::vector<int64_t>* _size)));
  }|]

_empty_affine_quantized_lodlM
  :: Ptr IntArray
  -> Ptr TensorOptions
  -> CDouble
  -> Int64
  -> MemoryFormat
  -> IO (Ptr Tensor)
_empty_affine_quantized_lodlM _size _options _scale _zero_point _memory_format =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_empty_affine_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::TensorOptions* _options)
  , $(double _scale)
  , $(int64_t _zero_point)
  , $(at::MemoryFormat _memory_format)));
  }|]

_empty_affine_quantized_lodl
  :: Ptr IntArray
  -> Ptr TensorOptions
  -> CDouble
  -> Int64
  -> IO (Ptr Tensor)
_empty_affine_quantized_lodl _size _options _scale _zero_point =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_empty_affine_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::TensorOptions* _options)
  , $(double _scale)
  , $(int64_t _zero_point)));
  }|]

_empty_affine_quantized_lod
  :: Ptr IntArray
  -> Ptr TensorOptions
  -> CDouble
  -> IO (Ptr Tensor)
_empty_affine_quantized_lod _size _options _scale =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_empty_affine_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::TensorOptions* _options)
  , $(double _scale)));
  }|]

_empty_affine_quantized_lo
  :: Ptr IntArray
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
_empty_affine_quantized_lo _size _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_empty_affine_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::TensorOptions* _options)));
  }|]

_empty_affine_quantized_l
  :: Ptr IntArray
  -> IO (Ptr Tensor)
_empty_affine_quantized_l _size =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_empty_affine_quantized(
    *$(std::vector<int64_t>* _size)));
  }|]

_empty_per_channel_affine_quantized_lttloM
  :: Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Ptr TensorOptions
  -> MemoryFormat
  -> IO (Ptr Tensor)
_empty_per_channel_affine_quantized_lttloM _size _scales _zero_points _axis _options _memory_format =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_empty_per_channel_affine_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::Tensor* _scales)
  , *$(at::Tensor* _zero_points)
  , $(int64_t _axis)
  , *$(at::TensorOptions* _options)
  , $(at::MemoryFormat _memory_format)));
  }|]

_empty_per_channel_affine_quantized_lttlo
  :: Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
_empty_per_channel_affine_quantized_lttlo _size _scales _zero_points _axis _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_empty_per_channel_affine_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::Tensor* _scales)
  , *$(at::Tensor* _zero_points)
  , $(int64_t _axis)
  , *$(at::TensorOptions* _options)));
  }|]

_empty_per_channel_affine_quantized_lttl
  :: Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
_empty_per_channel_affine_quantized_lttl _size _scales _zero_points _axis =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_empty_per_channel_affine_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::Tensor* _scales)
  , *$(at::Tensor* _zero_points)
  , $(int64_t _axis)));
  }|]

_resize_output__tlD
  :: Ptr Tensor
  -> Ptr IntArray
  -> DeviceType
  -> IO (Ptr Tensor)
_resize_output__tlD _self _size _device =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_resize_output_(
    *$(at::Tensor* _self)
  , *$(std::vector<int64_t>* _size)
  , $(at::DeviceType _device)));
  }|]

empty_quantized_ltoM
  :: Ptr IntArray
  -> Ptr Tensor
  -> Ptr TensorOptions
  -> MemoryFormat
  -> IO (Ptr Tensor)
empty_quantized_ltoM _size _qtensor _options _memory_format =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::Tensor* _qtensor)
  , *$(at::TensorOptions* _options)
  , $(at::MemoryFormat _memory_format)));
  }|]

empty_quantized_lto
  :: Ptr IntArray
  -> Ptr Tensor
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
empty_quantized_lto _size _qtensor _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::Tensor* _qtensor)
  , *$(at::TensorOptions* _options)));
  }|]

empty_quantized_lt
  :: Ptr IntArray
  -> Ptr Tensor
  -> IO (Ptr Tensor)
empty_quantized_lt _size _qtensor =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_quantized(
    *$(std::vector<int64_t>* _size)
  , *$(at::Tensor* _qtensor)));
  }|]

empty_out_tlM
  :: Ptr Tensor
  -> Ptr IntArray
  -> MemoryFormat
  -> IO (Ptr Tensor)
empty_out_tlM _out _size _memory_format =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_out(
    *$(at::Tensor* _out)
  , *$(std::vector<int64_t>* _size)
  , $(at::MemoryFormat _memory_format)));
  }|]

empty_out_tl
  :: Ptr Tensor
  -> Ptr IntArray
  -> IO (Ptr Tensor)
empty_out_tl _out _size =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_out(
    *$(at::Tensor* _out)
  , *$(std::vector<int64_t>* _size)));
  }|]

empty_like_toM
  :: Ptr Tensor
  -> Ptr TensorOptions
  -> MemoryFormat
  -> IO (Ptr Tensor)
empty_like_toM _self _options _memory_format =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_like(
    *$(at::Tensor* _self)
  , *$(at::TensorOptions* _options)
  , $(at::MemoryFormat _memory_format)));
  }|]

empty_like_to
  :: Ptr Tensor
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
empty_like_to _self _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_like(
    *$(at::Tensor* _self)
  , *$(at::TensorOptions* _options)));
  }|]

empty_like_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
empty_like_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_like(
    *$(at::Tensor* _self)));
  }|]

empty_strided_llo
  :: Ptr IntArray
  -> Ptr IntArray
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
empty_strided_llo _size _stride _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_strided(
    *$(std::vector<int64_t>* _size)
  , *$(std::vector<int64_t>* _stride)
  , *$(at::TensorOptions* _options)));
  }|]

empty_strided_ll
  :: Ptr IntArray
  -> Ptr IntArray
  -> IO (Ptr Tensor)
empty_strided_ll _size _stride =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::empty_strided(
    *$(std::vector<int64_t>* _size)
  , *$(std::vector<int64_t>* _stride)));
  }|]

erf_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
erf_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::erf(
    *$(at::Tensor* _self)));
  }|]

erf__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
erf__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::erf_(
    *$(at::Tensor* _self)));
  }|]

erf_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
erf_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::erf_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

erfc_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
erfc_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::erfc(
    *$(at::Tensor* _self)));
  }|]

erfc__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
erfc__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::erfc_(
    *$(at::Tensor* _self)));
  }|]

erfc_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
erfc_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::erfc_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

exp_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
exp_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::exp(
    *$(at::Tensor* _self)));
  }|]

exp__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
exp__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::exp_(
    *$(at::Tensor* _self)));
  }|]

exp_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
exp_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::exp_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

exp2_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
exp2_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::exp2(
    *$(at::Tensor* _self)));
  }|]

exp2__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
exp2__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::exp2_(
    *$(at::Tensor* _self)));
  }|]

exp2_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
exp2_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::exp2_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

expm1_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
expm1_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::expm1(
    *$(at::Tensor* _self)));
  }|]

expm1__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
expm1__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::expm1_(
    *$(at::Tensor* _self)));
  }|]

expm1_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
expm1_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::expm1_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

eye_lo
  :: Int64
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
eye_lo _n _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::eye(
    $(int64_t _n)
  , *$(at::TensorOptions* _options)));
  }|]

eye_l
  :: Int64
  -> IO (Ptr Tensor)
eye_l _n =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::eye(
    $(int64_t _n)));
  }|]

eye_llo
  :: Int64
  -> Int64
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
eye_llo _n _m _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::eye(
    $(int64_t _n)
  , $(int64_t _m)
  , *$(at::TensorOptions* _options)));
  }|]

eye_ll
  :: Int64
  -> Int64
  -> IO (Ptr Tensor)
eye_ll _n _m =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::eye(
    $(int64_t _n)
  , $(int64_t _m)));
  }|]

eye_out_tl
  :: Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
eye_out_tl _out _n =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::eye_out(
    *$(at::Tensor* _out)
  , $(int64_t _n)));
  }|]

eye_out_tll
  :: Ptr Tensor
  -> Int64
  -> Int64
  -> IO (Ptr Tensor)
eye_out_tll _out _n _m =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::eye_out(
    *$(at::Tensor* _out)
  , $(int64_t _n)
  , $(int64_t _m)));
  }|]

flatten_tll
  :: Ptr Tensor
  -> Int64
  -> Int64
  -> IO (Ptr Tensor)
flatten_tll _self _start_dim _end_dim =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::flatten(
    *$(at::Tensor* _self)
  , $(int64_t _start_dim)
  , $(int64_t _end_dim)));
  }|]

flatten_tl
  :: Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
flatten_tl _self _start_dim =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::flatten(
    *$(at::Tensor* _self)
  , $(int64_t _start_dim)));
  }|]

flatten_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
flatten_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::flatten(
    *$(at::Tensor* _self)));
  }|]

flatten_tlln
  :: Ptr Tensor
  -> Int64
  -> Int64
  -> Ptr Dimname
  -> IO (Ptr Tensor)
flatten_tlln _self _start_dim _end_dim _out_dim =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::flatten(
    *$(at::Tensor* _self)
  , $(int64_t _start_dim)
  , $(int64_t _end_dim)
  , *$(at::Dimname* _out_dim)));
  }|]

flatten_tnnn
  :: Ptr Tensor
  -> Ptr Dimname
  -> Ptr Dimname
  -> Ptr Dimname
  -> IO (Ptr Tensor)
flatten_tnnn _self _start_dim _end_dim _out_dim =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::flatten(
    *$(at::Tensor* _self)
  , *$(at::Dimname* _start_dim)
  , *$(at::Dimname* _end_dim)
  , *$(at::Dimname* _out_dim)));
  }|]

flatten_tNn
  :: Ptr Tensor
  -> Ptr DimnameList
  -> Ptr Dimname
  -> IO (Ptr Tensor)
flatten_tNn _self _dims _out_dim =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::flatten(
    *$(at::Tensor* _self)
  , *$(std::vector<at::Dimname>* _dims)
  , *$(at::Dimname* _out_dim)));
  }|]

unflatten_tll
  :: Ptr Tensor
  -> Int64
  -> Ptr IntArray
  -> IO (Ptr Tensor)
unflatten_tll _self _dim _sizes =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::unflatten(
    *$(at::Tensor* _self)
  , $(int64_t _dim)
  , *$(std::vector<int64_t>* _sizes)));
  }|]

unflatten_tnlN
  :: Ptr Tensor
  -> Ptr Dimname
  -> Ptr IntArray
  -> Ptr DimnameList
  -> IO (Ptr Tensor)
unflatten_tnlN _self _dim _sizes _names =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::unflatten(
    *$(at::Tensor* _self)
  , *$(at::Dimname* _dim)
  , *$(std::vector<int64_t>* _sizes)
  , *$(std::vector<at::Dimname>* _names)));
  }|]

fill_ts
  :: Ptr Tensor
  -> Ptr Scalar
  -> IO (Ptr Tensor)
fill_ts _self _value =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fill(
    *$(at::Tensor* _self)
  , *$(at::Scalar* _value)));
  }|]

fill_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
fill_tt _self _value =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fill(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _value)));
  }|]

fill__ts
  :: Ptr Tensor
  -> Ptr Scalar
  -> IO (Ptr Tensor)
fill__ts _self _value =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fill_(
    *$(at::Tensor* _self)
  , *$(at::Scalar* _value)));
  }|]

fill__tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
fill__tt _self _value =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fill_(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _value)));
  }|]

floor_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
floor_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::floor(
    *$(at::Tensor* _self)));
  }|]

floor__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
floor__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::floor_(
    *$(at::Tensor* _self)));
  }|]

floor_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
floor_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::floor_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

floor_divide_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
floor_divide_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::floor_divide(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

floor_divide_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
floor_divide_out_ttt _out _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::floor_divide_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

floor_divide_ts
  :: Ptr Tensor
  -> Ptr Scalar
  -> IO (Ptr Tensor)
floor_divide_ts _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::floor_divide(
    *$(at::Tensor* _self)
  , *$(at::Scalar* _other)));
  }|]

frac_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
frac_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::frac(
    *$(at::Tensor* _self)));
  }|]

frac__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
frac__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::frac_(
    *$(at::Tensor* _self)));
  }|]

frac_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
frac_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::frac_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

full_lsNo
  :: Ptr IntArray
  -> Ptr Scalar
  -> Ptr DimnameList
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
full_lsNo _size _fill_value _names _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::full(
    *$(std::vector<int64_t>* _size)
  , *$(at::Scalar* _fill_value)
  , *$(std::vector<at::Dimname>* _names)
  , *$(at::TensorOptions* _options)));
  }|]

full_lsN
  :: Ptr IntArray
  -> Ptr Scalar
  -> Ptr DimnameList
  -> IO (Ptr Tensor)
full_lsN _size _fill_value _names =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::full(
    *$(std::vector<int64_t>* _size)
  , *$(at::Scalar* _fill_value)
  , *$(std::vector<at::Dimname>* _names)));
  }|]

full_lso
  :: Ptr IntArray
  -> Ptr Scalar
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
full_lso _size _fill_value _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::full(
    *$(std::vector<int64_t>* _size)
  , *$(at::Scalar* _fill_value)
  , *$(at::TensorOptions* _options)));
  }|]

full_ls
  :: Ptr IntArray
  -> Ptr Scalar
  -> IO (Ptr Tensor)
full_ls _size _fill_value =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::full(
    *$(std::vector<int64_t>* _size)
  , *$(at::Scalar* _fill_value)));
  }|]

full_out_tls
  :: Ptr Tensor
  -> Ptr IntArray
  -> Ptr Scalar
  -> IO (Ptr Tensor)
full_out_tls _out _size _fill_value =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::full_out(
    *$(at::Tensor* _out)
  , *$(std::vector<int64_t>* _size)
  , *$(at::Scalar* _fill_value)));
  }|]

full_like_tsoM
  :: Ptr Tensor
  -> Ptr Scalar
  -> Ptr TensorOptions
  -> MemoryFormat
  -> IO (Ptr Tensor)
full_like_tsoM _self _fill_value _options _memory_format =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::full_like(
    *$(at::Tensor* _self)
  , *$(at::Scalar* _fill_value)
  , *$(at::TensorOptions* _options)
  , $(at::MemoryFormat _memory_format)));
  }|]

full_like_tso
  :: Ptr Tensor
  -> Ptr Scalar
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
full_like_tso _self _fill_value _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::full_like(
    *$(at::Tensor* _self)
  , *$(at::Scalar* _fill_value)
  , *$(at::TensorOptions* _options)));
  }|]

full_like_ts
  :: Ptr Tensor
  -> Ptr Scalar
  -> IO (Ptr Tensor)
full_like_ts _self _fill_value =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::full_like(
    *$(at::Tensor* _self)
  , *$(at::Scalar* _fill_value)));
  }|]

from_file_sblo
  :: Ptr StdString
  -> CBool
  -> Int64
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
from_file_sblo _filename _shared _size _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::from_file(
    *$(std::string* _filename)
  , $(bool _shared)
  , $(int64_t _size)
  , *$(at::TensorOptions* _options)));
  }|]

from_file_sbl
  :: Ptr StdString
  -> CBool
  -> Int64
  -> IO (Ptr Tensor)
from_file_sbl _filename _shared _size =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::from_file(
    *$(std::string* _filename)
  , $(bool _shared)
  , $(int64_t _size)));
  }|]

from_file_sb
  :: Ptr StdString
  -> CBool
  -> IO (Ptr Tensor)
from_file_sb _filename _shared =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::from_file(
    *$(std::string* _filename)
  , $(bool _shared)));
  }|]

from_file_s
  :: Ptr StdString
  -> IO (Ptr Tensor)
from_file_s _filename =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::from_file(
    *$(std::string* _filename)));
  }|]

gcd_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
gcd_out_ttt _out _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::gcd_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

gcd_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
gcd_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::gcd(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

gcd__tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
gcd__tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::gcd_(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

lcm_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
lcm_out_ttt _out _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::lcm_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

lcm_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
lcm_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::lcm(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

lcm__tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
lcm__tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::lcm_(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

grid_sampler_ttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
grid_sampler_ttllb _input _grid _interpolation_mode _padding_mode _align_corners =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::grid_sampler(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _grid)
  , $(int64_t _interpolation_mode)
  , $(int64_t _padding_mode)
  , $(bool _align_corners)));
  }|]

grid_sampler_2d_ttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
grid_sampler_2d_ttllb _input _grid _interpolation_mode _padding_mode _align_corners =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::grid_sampler_2d(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _grid)
  , $(int64_t _interpolation_mode)
  , $(int64_t _padding_mode)
  , $(bool _align_corners)));
  }|]

grid_sampler_2d_backward_tttllba
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> Ptr (StdArray '(CBool,2))
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
grid_sampler_2d_backward_tttllba _grad_output _input _grid _interpolation_mode _padding_mode _align_corners _output_mask =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::grid_sampler_2d_backward(
    *$(at::Tensor* _grad_output)
  , *$(at::Tensor* _input)
  , *$(at::Tensor* _grid)
  , $(int64_t _interpolation_mode)
  , $(int64_t _padding_mode)
  , $(bool _align_corners)
  , *$(std::array<bool,2>* _output_mask)));
  }|]

_grid_sampler_2d_cpu_fallback_ttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
_grid_sampler_2d_cpu_fallback_ttllb _input _grid _interpolation_mode _padding_mode _align_corners =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_grid_sampler_2d_cpu_fallback(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _grid)
  , $(int64_t _interpolation_mode)
  , $(int64_t _padding_mode)
  , $(bool _align_corners)));
  }|]

_grid_sampler_2d_cpu_fallback_backward_tttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
_grid_sampler_2d_cpu_fallback_backward_tttllb _grad_output _input _grid _interpolation_mode _padding_mode _align_corners =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_grid_sampler_2d_cpu_fallback_backward(
    *$(at::Tensor* _grad_output)
  , *$(at::Tensor* _input)
  , *$(at::Tensor* _grid)
  , $(int64_t _interpolation_mode)
  , $(int64_t _padding_mode)
  , $(bool _align_corners)));
  }|]

grid_sampler_3d_ttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
grid_sampler_3d_ttllb _input _grid _interpolation_mode _padding_mode _align_corners =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::grid_sampler_3d(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _grid)
  , $(int64_t _interpolation_mode)
  , $(int64_t _padding_mode)
  , $(bool _align_corners)));
  }|]

grid_sampler_3d_backward_tttllba
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> Ptr (StdArray '(CBool,2))
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
grid_sampler_3d_backward_tttllba _grad_output _input _grid _interpolation_mode _padding_mode _align_corners _output_mask =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::grid_sampler_3d_backward(
    *$(at::Tensor* _grad_output)
  , *$(at::Tensor* _input)
  , *$(at::Tensor* _grid)
  , $(int64_t _interpolation_mode)
  , $(int64_t _padding_mode)
  , $(bool _align_corners)
  , *$(std::array<bool,2>* _output_mask)));
  }|]

hann_window_lo
  :: Int64
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
hann_window_lo _window_length _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hann_window(
    $(int64_t _window_length)
  , *$(at::TensorOptions* _options)));
  }|]

hann_window_l
  :: Int64
  -> IO (Ptr Tensor)
hann_window_l _window_length =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hann_window(
    $(int64_t _window_length)));
  }|]

hann_window_lbo
  :: Int64
  -> CBool
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
hann_window_lbo _window_length _periodic _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hann_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , *$(at::TensorOptions* _options)));
  }|]

hann_window_lb
  :: Int64
  -> CBool
  -> IO (Ptr Tensor)
hann_window_lb _window_length _periodic =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hann_window(
    $(int64_t _window_length)
  , $(bool _periodic)));
  }|]

hamming_window_lo
  :: Int64
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
hamming_window_lo _window_length _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hamming_window(
    $(int64_t _window_length)
  , *$(at::TensorOptions* _options)));
  }|]

hamming_window_l
  :: Int64
  -> IO (Ptr Tensor)
hamming_window_l _window_length =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hamming_window(
    $(int64_t _window_length)));
  }|]

hamming_window_lbo
  :: Int64
  -> CBool
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
hamming_window_lbo _window_length _periodic _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hamming_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , *$(at::TensorOptions* _options)));
  }|]

hamming_window_lb
  :: Int64
  -> CBool
  -> IO (Ptr Tensor)
hamming_window_lb _window_length _periodic =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hamming_window(
    $(int64_t _window_length)
  , $(bool _periodic)));
  }|]

hamming_window_lbdo
  :: Int64
  -> CBool
  -> CDouble
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
hamming_window_lbdo _window_length _periodic _alpha _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hamming_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , $(double _alpha)
  , *$(at::TensorOptions* _options)));
  }|]

hamming_window_lbd
  :: Int64
  -> CBool
  -> CDouble
  -> IO (Ptr Tensor)
hamming_window_lbd _window_length _periodic _alpha =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hamming_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , $(double _alpha)));
  }|]

hamming_window_lbddo
  :: Int64
  -> CBool
  -> CDouble
  -> CDouble
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
hamming_window_lbddo _window_length _periodic _alpha _beta _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hamming_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , $(double _alpha)
  , $(double _beta)
  , *$(at::TensorOptions* _options)));
  }|]

hamming_window_lbdd
  :: Int64
  -> CBool
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
hamming_window_lbdd _window_length _periodic _alpha _beta =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hamming_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , $(double _alpha)
  , $(double _beta)));
  }|]

kaiser_window_lo
  :: Int64
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
kaiser_window_lo _window_length _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kaiser_window(
    $(int64_t _window_length)
  , *$(at::TensorOptions* _options)));
  }|]

kaiser_window_l
  :: Int64
  -> IO (Ptr Tensor)
kaiser_window_l _window_length =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kaiser_window(
    $(int64_t _window_length)));
  }|]

kaiser_window_lbo
  :: Int64
  -> CBool
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
kaiser_window_lbo _window_length _periodic _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kaiser_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , *$(at::TensorOptions* _options)));
  }|]

kaiser_window_lb
  :: Int64
  -> CBool
  -> IO (Ptr Tensor)
kaiser_window_lb _window_length _periodic =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kaiser_window(
    $(int64_t _window_length)
  , $(bool _periodic)));
  }|]

kaiser_window_lbdo
  :: Int64
  -> CBool
  -> CDouble
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
kaiser_window_lbdo _window_length _periodic _beta _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kaiser_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , $(double _beta)
  , *$(at::TensorOptions* _options)));
  }|]

kaiser_window_lbd
  :: Int64
  -> CBool
  -> CDouble
  -> IO (Ptr Tensor)
kaiser_window_lbd _window_length _periodic _beta =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kaiser_window(
    $(int64_t _window_length)
  , $(bool _periodic)
  , $(double _beta)));
  }|]

hinge_embedding_loss_ttdl
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> Int64
  -> IO (Ptr Tensor)
hinge_embedding_loss_ttdl _self _target _margin _reduction =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hinge_embedding_loss(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _target)
  , $(double _margin)
  , $(int64_t _reduction)));
  }|]

hinge_embedding_loss_ttd
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> IO (Ptr Tensor)
hinge_embedding_loss_ttd _self _target _margin =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hinge_embedding_loss(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _target)
  , $(double _margin)));
  }|]

hinge_embedding_loss_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
hinge_embedding_loss_tt _self _target =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::hinge_embedding_loss(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _target)));
  }|]

group_norm_tlttdb
  :: Ptr Tensor
  -> Int64
  -> Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> CBool
  -> IO (Ptr Tensor)
group_norm_tlttdb _input _num_groups _weight _bias _eps _cudnn_enabled =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::group_norm(
    *$(at::Tensor* _input)
  , $(int64_t _num_groups)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)
  , $(double _eps)
  , $(bool _cudnn_enabled)));
  }|]

group_norm_tlttd
  :: Ptr Tensor
  -> Int64
  -> Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> IO (Ptr Tensor)
group_norm_tlttd _input _num_groups _weight _bias _eps =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::group_norm(
    *$(at::Tensor* _input)
  , $(int64_t _num_groups)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)
  , $(double _eps)));
  }|]

group_norm_tltt
  :: Ptr Tensor
  -> Int64
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
group_norm_tltt _input _num_groups _weight _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::group_norm(
    *$(at::Tensor* _input)
  , $(int64_t _num_groups)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)));
  }|]

group_norm_tlt
  :: Ptr Tensor
  -> Int64
  -> Ptr Tensor
  -> IO (Ptr Tensor)
group_norm_tlt _input _num_groups _weight =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::group_norm(
    *$(at::Tensor* _input)
  , $(int64_t _num_groups)
  , *$(at::Tensor* _weight)));
  }|]

group_norm_tl
  :: Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
group_norm_tl _input _num_groups =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::group_norm(
    *$(at::Tensor* _input)
  , $(int64_t _num_groups)));
  }|]

native_group_norm_tttlllld
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> Int64
  -> Int64
  -> CDouble
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
native_group_norm_tttlllld _input _weight _bias _N _C _HxW _group _eps =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::native_group_norm(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)
  , $(int64_t _N)
  , $(int64_t _C)
  , $(int64_t _HxW)
  , $(int64_t _group)
  , $(double _eps)));
  }|]

native_group_norm_backward_tttttlllla
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> Int64
  -> Int64
  -> Ptr (StdArray '(CBool,3))
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
native_group_norm_backward_tttttlllla _grad_out _input _mean _rstd _weight _N _C _HxW _group _output_mask =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::native_group_norm_backward(
    *$(at::Tensor* _grad_out)
  , *$(at::Tensor* _input)
  , *$(at::Tensor* _mean)
  , *$(at::Tensor* _rstd)
  , *$(at::Tensor* _weight)
  , $(int64_t _N)
  , $(int64_t _C)
  , $(int64_t _HxW)
  , $(int64_t _group)
  , *$(std::array<bool,3>* _output_mask)));
  }|]

_fft_r2c_tllb
  :: Ptr Tensor
  -> Ptr IntArray
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
_fft_r2c_tllb _self _dim _normalization _onesided =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_fft_r2c(
    *$(at::Tensor* _self)
  , *$(std::vector<int64_t>* _dim)
  , $(int64_t _normalization)
  , $(bool _onesided)));
  }|]

_fft_r2c_out_ttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr IntArray
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
_fft_r2c_out_ttllb _out _self _dim _normalization _onesided =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_fft_r2c_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(std::vector<int64_t>* _dim)
  , $(int64_t _normalization)
  , $(bool _onesided)));
  }|]

_fft_c2r_tlll
  :: Ptr Tensor
  -> Ptr IntArray
  -> Int64
  -> Int64
  -> IO (Ptr Tensor)
_fft_c2r_tlll _self _dim _normalization _last_dim_size =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_fft_c2r(
    *$(at::Tensor* _self)
  , *$(std::vector<int64_t>* _dim)
  , $(int64_t _normalization)
  , $(int64_t _last_dim_size)));
  }|]

_fft_c2r_out_ttlll
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr IntArray
  -> Int64
  -> Int64
  -> IO (Ptr Tensor)
_fft_c2r_out_ttlll _out _self _dim _normalization _last_dim_size =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_fft_c2r_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(std::vector<int64_t>* _dim)
  , $(int64_t _normalization)
  , $(int64_t _last_dim_size)));
  }|]

_fft_c2c_tllb
  :: Ptr Tensor
  -> Ptr IntArray
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
_fft_c2c_tllb _self _dim _normalization _forward =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_fft_c2c(
    *$(at::Tensor* _self)
  , *$(std::vector<int64_t>* _dim)
  , $(int64_t _normalization)
  , $(bool _forward)));
  }|]

_fft_c2c_out_ttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr IntArray
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
_fft_c2c_out_ttllb _out _self _dim _normalization _forward =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_fft_c2c_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(std::vector<int64_t>* _dim)
  , $(int64_t _normalization)
  , $(bool _forward)));
  }|]

_validate_compressed_sparse_indices_bttlll
  :: CBool
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> Int64
  -> IO (())
_validate_compressed_sparse_indices_bttlll _is_crow _compressed_idx _plain_idx _cdim _dim _nnz =
  [C.throwBlock| void {  (at::_validate_compressed_sparse_indices(
    $(bool _is_crow)
  , *$(at::Tensor* _compressed_idx)
  , *$(at::Tensor* _plain_idx)
  , $(int64_t _cdim)
  , $(int64_t _dim)
  , $(int64_t _nnz)));
  }|]

_cufft_get_plan_cache_size_l
  :: Int64
  -> IO (Int64)
_cufft_get_plan_cache_size_l _device_index =
  [C.throwBlock| int64_t { return (at::_cufft_get_plan_cache_size(
    $(int64_t _device_index)));
  }|]

_cufft_get_plan_cache_max_size_l
  :: Int64
  -> IO (Int64)
_cufft_get_plan_cache_max_size_l _device_index =
  [C.throwBlock| int64_t { return (at::_cufft_get_plan_cache_max_size(
    $(int64_t _device_index)));
  }|]

_cufft_set_plan_cache_max_size_ll
  :: Int64
  -> Int64
  -> IO (())
_cufft_set_plan_cache_max_size_ll _device_index _max_size =
  [C.throwBlock| void {  (at::_cufft_set_plan_cache_max_size(
    $(int64_t _device_index)
  , $(int64_t _max_size)));
  }|]

_cufft_clear_plan_cache_l
  :: Int64
  -> IO (())
_cufft_clear_plan_cache_l _device_index =
  [C.throwBlock| void {  (at::_cufft_clear_plan_cache(
    $(int64_t _device_index)));
  }|]

index_tl
  :: Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> IO (Ptr Tensor)
index_tl _self _indices =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index(
    *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)));
  }|]

index_out_ttl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> IO (Ptr Tensor)
index_out_ttl _out _self _indices =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)));
  }|]

index_copy_out_ttltt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
index_copy_out_ttltt _out _self _dim _index _source =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index_copy_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , $(int64_t _dim)
  , *$(at::Tensor* _index)
  , *$(at::Tensor* _source)));
  }|]

index_copy_tltt
  :: Ptr Tensor
  -> Int64
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
index_copy_tltt _self _dim _index _source =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index_copy(
    *$(at::Tensor* _self)
  , $(int64_t _dim)
  , *$(at::Tensor* _index)
  , *$(at::Tensor* _source)));
  }|]

index_copy_tntt
  :: Ptr Tensor
  -> Ptr Dimname
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
index_copy_tntt _self _dim _index _source =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index_copy(
    *$(at::Tensor* _self)
  , *$(at::Dimname* _dim)
  , *$(at::Tensor* _index)
  , *$(at::Tensor* _source)));
  }|]

index_put__tltb
  :: Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr Tensor)
index_put__tltb _self _indices _values _accumulate =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index_put_(
    *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)
  , *$(at::Tensor* _values)
  , $(bool _accumulate)));
  }|]

index_put__tlt
  :: Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> Ptr Tensor
  -> IO (Ptr Tensor)
index_put__tlt _self _indices _values =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index_put_(
    *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)
  , *$(at::Tensor* _values)));
  }|]

index_put_tltb
  :: Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr Tensor)
index_put_tltb _self _indices _values _accumulate =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index_put(
    *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)
  , *$(at::Tensor* _values)
  , $(bool _accumulate)));
  }|]

index_put_tlt
  :: Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> Ptr Tensor
  -> IO (Ptr Tensor)
index_put_tlt _self _indices _values =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::index_put(
    *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)
  , *$(at::Tensor* _values)));
  }|]

_index_put_impl__tltbb
  :: Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> Ptr Tensor
  -> CBool
  -> CBool
  -> IO (Ptr Tensor)
_index_put_impl__tltbb _self _indices _values _accumulate _unsafe =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_index_put_impl_(
    *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)
  , *$(at::Tensor* _values)
  , $(bool _accumulate)
  , $(bool _unsafe)));
  }|]

_index_put_impl__tltb
  :: Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr Tensor)
_index_put_impl__tltb _self _indices _values _accumulate =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_index_put_impl_(
    *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)
  , *$(at::Tensor* _values)
  , $(bool _accumulate)));
  }|]

_index_put_impl__tlt
  :: Ptr Tensor
  -> Ptr (C10List (C10Optional Tensor))
  -> Ptr Tensor
  -> IO (Ptr Tensor)
_index_put_impl__tlt _self _indices _values =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::_index_put_impl_(
    *$(at::Tensor* _self)
  , *$(c10::List<c10::optional<at::Tensor>>* _indices)
  , *$(at::Tensor* _values)));
  }|]

instance_norm_tttttbddb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> CDouble
  -> CDouble
  -> CBool
  -> IO (Ptr Tensor)
instance_norm_tttttbddb _input _weight _bias _running_mean _running_var _use_input_stats _momentum _eps _cudnn_enabled =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::instance_norm(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)
  , *$(at::Tensor* _running_mean)
  , *$(at::Tensor* _running_var)
  , $(bool _use_input_stats)
  , $(double _momentum)
  , $(double _eps)
  , $(bool _cudnn_enabled)));
  }|]

isclose_ttddb
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> CDouble
  -> CBool
  -> IO (Ptr Tensor)
isclose_ttddb _self _other _rtol _atol _equal_nan =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isclose(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)
  , $(double _rtol)
  , $(double _atol)
  , $(bool _equal_nan)));
  }|]

isclose_ttdd
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
isclose_ttdd _self _other _rtol _atol =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isclose(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)
  , $(double _rtol)
  , $(double _atol)));
  }|]

isclose_ttd
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> IO (Ptr Tensor)
isclose_ttd _self _other _rtol =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isclose(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)
  , $(double _rtol)));
  }|]

isclose_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
isclose_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isclose(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

isin_out_tttbb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> CBool
  -> IO (Ptr Tensor)
isin_out_tttbb _out _elements _test_elements _assume_unique _invert =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _elements)
  , *$(at::Tensor* _test_elements)
  , $(bool _assume_unique)
  , $(bool _invert)));
  }|]

isin_out_tttb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr Tensor)
isin_out_tttb _out _elements _test_elements _assume_unique =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _elements)
  , *$(at::Tensor* _test_elements)
  , $(bool _assume_unique)));
  }|]

isin_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
isin_out_ttt _out _elements _test_elements =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _elements)
  , *$(at::Tensor* _test_elements)));
  }|]

isin_ttbb
  :: Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> CBool
  -> IO (Ptr Tensor)
isin_ttbb _elements _test_elements _assume_unique _invert =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Tensor* _elements)
  , *$(at::Tensor* _test_elements)
  , $(bool _assume_unique)
  , $(bool _invert)));
  }|]

isin_ttb
  :: Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr Tensor)
isin_ttb _elements _test_elements _assume_unique =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Tensor* _elements)
  , *$(at::Tensor* _test_elements)
  , $(bool _assume_unique)));
  }|]

isin_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
isin_tt _elements _test_elements =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Tensor* _elements)
  , *$(at::Tensor* _test_elements)));
  }|]

isin_out_ttsbb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Scalar
  -> CBool
  -> CBool
  -> IO (Ptr Tensor)
isin_out_ttsbb _out _elements _test_element _assume_unique _invert =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _elements)
  , *$(at::Scalar* _test_element)
  , $(bool _assume_unique)
  , $(bool _invert)));
  }|]

isin_out_ttsb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Scalar
  -> CBool
  -> IO (Ptr Tensor)
isin_out_ttsb _out _elements _test_element _assume_unique =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _elements)
  , *$(at::Scalar* _test_element)
  , $(bool _assume_unique)));
  }|]

isin_out_tts
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Scalar
  -> IO (Ptr Tensor)
isin_out_tts _out _elements _test_element =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _elements)
  , *$(at::Scalar* _test_element)));
  }|]

isin_tsbb
  :: Ptr Tensor
  -> Ptr Scalar
  -> CBool
  -> CBool
  -> IO (Ptr Tensor)
isin_tsbb _elements _test_element _assume_unique _invert =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Tensor* _elements)
  , *$(at::Scalar* _test_element)
  , $(bool _assume_unique)
  , $(bool _invert)));
  }|]

isin_tsb
  :: Ptr Tensor
  -> Ptr Scalar
  -> CBool
  -> IO (Ptr Tensor)
isin_tsb _elements _test_element _assume_unique =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Tensor* _elements)
  , *$(at::Scalar* _test_element)
  , $(bool _assume_unique)));
  }|]

isin_ts
  :: Ptr Tensor
  -> Ptr Scalar
  -> IO (Ptr Tensor)
isin_ts _elements _test_element =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Tensor* _elements)
  , *$(at::Scalar* _test_element)));
  }|]

isin_out_tstbb
  :: Ptr Tensor
  -> Ptr Scalar
  -> Ptr Tensor
  -> CBool
  -> CBool
  -> IO (Ptr Tensor)
isin_out_tstbb _out _element _test_elements _assume_unique _invert =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Scalar* _element)
  , *$(at::Tensor* _test_elements)
  , $(bool _assume_unique)
  , $(bool _invert)));
  }|]

isin_out_tstb
  :: Ptr Tensor
  -> Ptr Scalar
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr Tensor)
isin_out_tstb _out _element _test_elements _assume_unique =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Scalar* _element)
  , *$(at::Tensor* _test_elements)
  , $(bool _assume_unique)));
  }|]

isin_out_tst
  :: Ptr Tensor
  -> Ptr Scalar
  -> Ptr Tensor
  -> IO (Ptr Tensor)
isin_out_tst _out _element _test_elements =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin_out(
    *$(at::Tensor* _out)
  , *$(at::Scalar* _element)
  , *$(at::Tensor* _test_elements)));
  }|]

isin_stbb
  :: Ptr Scalar
  -> Ptr Tensor
  -> CBool
  -> CBool
  -> IO (Ptr Tensor)
isin_stbb _element _test_elements _assume_unique _invert =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Scalar* _element)
  , *$(at::Tensor* _test_elements)
  , $(bool _assume_unique)
  , $(bool _invert)));
  }|]

isin_stb
  :: Ptr Scalar
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr Tensor)
isin_stb _element _test_elements _assume_unique =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Scalar* _element)
  , *$(at::Tensor* _test_elements)
  , $(bool _assume_unique)));
  }|]

isin_st
  :: Ptr Scalar
  -> Ptr Tensor
  -> IO (Ptr Tensor)
isin_st _element _test_elements =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isin(
    *$(at::Scalar* _element)
  , *$(at::Tensor* _test_elements)));
  }|]

isnan_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
isnan_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isnan(
    *$(at::Tensor* _self)));
  }|]

is_distributed_t
  :: Ptr Tensor
  -> IO (CBool)
is_distributed_t _self =
  [C.throwBlock| bool { return (at::is_distributed(
    *$(at::Tensor* _self)));
  }|]

is_floating_point_t
  :: Ptr Tensor
  -> IO (CBool)
is_floating_point_t _self =
  [C.throwBlock| bool { return (at::is_floating_point(
    *$(at::Tensor* _self)));
  }|]

is_complex_t
  :: Ptr Tensor
  -> IO (CBool)
is_complex_t _self =
  [C.throwBlock| bool { return (at::is_complex(
    *$(at::Tensor* _self)));
  }|]

is_conj_t
  :: Ptr Tensor
  -> IO (CBool)
is_conj_t _self =
  [C.throwBlock| bool { return (at::is_conj(
    *$(at::Tensor* _self)));
  }|]

_is_zerotensor_t
  :: Ptr Tensor
  -> IO (CBool)
_is_zerotensor_t _self =
  [C.throwBlock| bool { return (at::_is_zerotensor(
    *$(at::Tensor* _self)));
  }|]

is_neg_t
  :: Ptr Tensor
  -> IO (CBool)
is_neg_t _self =
  [C.throwBlock| bool { return (at::is_neg(
    *$(at::Tensor* _self)));
  }|]

isreal_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
isreal_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::isreal(
    *$(at::Tensor* _self)));
  }|]

is_nonzero_t
  :: Ptr Tensor
  -> IO (CBool)
is_nonzero_t _self =
  [C.throwBlock| bool { return (at::is_nonzero(
    *$(at::Tensor* _self)));
  }|]

is_same_size_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (CBool)
is_same_size_tt _self _other =
  [C.throwBlock| bool { return (at::is_same_size(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

is_signed_t
  :: Ptr Tensor
  -> IO (CBool)
is_signed_t _self =
  [C.throwBlock| bool { return (at::is_signed(
    *$(at::Tensor* _self)));
  }|]

is_inference_t
  :: Ptr Tensor
  -> IO (CBool)
is_inference_t _self =
  [C.throwBlock| bool { return (at::is_inference(
    *$(at::Tensor* _self)));
  }|]

kl_div_ttlb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> CBool
  -> IO (Ptr Tensor)
kl_div_ttlb _self _target _reduction _log_target =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kl_div(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _target)
  , $(int64_t _reduction)
  , $(bool _log_target)));
  }|]

kl_div_ttl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> IO (Ptr Tensor)
kl_div_ttl _self _target _reduction =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kl_div(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _target)
  , $(int64_t _reduction)));
  }|]

kl_div_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
kl_div_tt _self _target =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kl_div(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _target)));
  }|]

kron_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
kron_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kron(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

kron_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
kron_out_ttt _out _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::kron_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

kthvalue_tllb
  :: Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_tllb _self _k _dim _keepdim =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue(
    *$(at::Tensor* _self)
  , $(int64_t _k)
  , $(int64_t _dim)
  , $(bool _keepdim)));
  }|]

kthvalue_tll
  :: Ptr Tensor
  -> Int64
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_tll _self _k _dim =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue(
    *$(at::Tensor* _self)
  , $(int64_t _k)
  , $(int64_t _dim)));
  }|]

kthvalue_tl
  :: Ptr Tensor
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_tl _self _k =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue(
    *$(at::Tensor* _self)
  , $(int64_t _k)));
  }|]

kthvalue_out_tttllb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_out_tttllb _values _indices _self _k _dim _keepdim =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue_out(
    *$(at::Tensor* _values)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _self)
  , $(int64_t _k)
  , $(int64_t _dim)
  , $(bool _keepdim)));
  }|]

kthvalue_out_tttll
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_out_tttll _values _indices _self _k _dim =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue_out(
    *$(at::Tensor* _values)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _self)
  , $(int64_t _k)
  , $(int64_t _dim)));
  }|]

kthvalue_out_tttl
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_out_tttl _values _indices _self _k =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue_out(
    *$(at::Tensor* _values)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _self)
  , $(int64_t _k)));
  }|]

kthvalue_tlnb
  :: Ptr Tensor
  -> Int64
  -> Ptr Dimname
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_tlnb _self _k _dim _keepdim =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue(
    *$(at::Tensor* _self)
  , $(int64_t _k)
  , *$(at::Dimname* _dim)
  , $(bool _keepdim)));
  }|]

kthvalue_tln
  :: Ptr Tensor
  -> Int64
  -> Ptr Dimname
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_tln _self _k _dim =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue(
    *$(at::Tensor* _self)
  , $(int64_t _k)
  , *$(at::Dimname* _dim)));
  }|]

kthvalue_out_tttlnb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Ptr Dimname
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_out_tttlnb _values _indices _self _k _dim _keepdim =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue_out(
    *$(at::Tensor* _values)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _self)
  , $(int64_t _k)
  , *$(at::Dimname* _dim)
  , $(bool _keepdim)));
  }|]

kthvalue_out_tttln
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Int64
  -> Ptr Dimname
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
kthvalue_out_tttln _values _indices _self _k _dim =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::kthvalue_out(
    *$(at::Tensor* _values)
  , *$(at::Tensor* _indices)
  , *$(at::Tensor* _self)
  , $(int64_t _k)
  , *$(at::Dimname* _dim)));
  }|]

layer_norm_tlttdb
  :: Ptr Tensor
  -> Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> CBool
  -> IO (Ptr Tensor)
layer_norm_tlttdb _input _normalized_shape _weight _bias _eps _cudnn_enable =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::layer_norm(
    *$(at::Tensor* _input)
  , *$(std::vector<int64_t>* _normalized_shape)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)
  , $(double _eps)
  , $(bool _cudnn_enable)));
  }|]

layer_norm_tlttd
  :: Ptr Tensor
  -> Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> IO (Ptr Tensor)
layer_norm_tlttd _input _normalized_shape _weight _bias _eps =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::layer_norm(
    *$(at::Tensor* _input)
  , *$(std::vector<int64_t>* _normalized_shape)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)
  , $(double _eps)));
  }|]

layer_norm_tltt
  :: Ptr Tensor
  -> Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
layer_norm_tltt _input _normalized_shape _weight _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::layer_norm(
    *$(at::Tensor* _input)
  , *$(std::vector<int64_t>* _normalized_shape)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)));
  }|]

layer_norm_tlt
  :: Ptr Tensor
  -> Ptr IntArray
  -> Ptr Tensor
  -> IO (Ptr Tensor)
layer_norm_tlt _input _normalized_shape _weight =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::layer_norm(
    *$(at::Tensor* _input)
  , *$(std::vector<int64_t>* _normalized_shape)
  , *$(at::Tensor* _weight)));
  }|]

layer_norm_tl
  :: Ptr Tensor
  -> Ptr IntArray
  -> IO (Ptr Tensor)
layer_norm_tl _input _normalized_shape =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::layer_norm(
    *$(at::Tensor* _input)
  , *$(std::vector<int64_t>* _normalized_shape)));
  }|]

native_layer_norm_tlttd
  :: Ptr Tensor
  -> Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
native_layer_norm_tlttd _input _normalized_shape _weight _bias _eps =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::native_layer_norm(
    *$(at::Tensor* _input)
  , *$(std::vector<int64_t>* _normalized_shape)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)
  , $(double _eps)));
  }|]

native_layer_norm_backward_ttltttta
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr (StdArray '(CBool,3))
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
native_layer_norm_backward_ttltttta _grad_out _input _normalized_shape _mean _rstd _weight _bias _output_mask =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::native_layer_norm_backward(
    *$(at::Tensor* _grad_out)
  , *$(at::Tensor* _input)
  , *$(std::vector<int64_t>* _normalized_shape)
  , *$(at::Tensor* _mean)
  , *$(at::Tensor* _rstd)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)
  , *$(std::array<bool,3>* _output_mask)));
  }|]

nan_to_num_tddd
  :: Ptr Tensor
  -> CDouble
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num_tddd _self _nan _posinf _neginf =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num(
    *$(at::Tensor* _self)
  , $(double _nan)
  , $(double _posinf)
  , $(double _neginf)));
  }|]

nan_to_num_tdd
  :: Ptr Tensor
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num_tdd _self _nan _posinf =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num(
    *$(at::Tensor* _self)
  , $(double _nan)
  , $(double _posinf)));
  }|]

nan_to_num_td
  :: Ptr Tensor
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num_td _self _nan =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num(
    *$(at::Tensor* _self)
  , $(double _nan)));
  }|]

nan_to_num_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
nan_to_num_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num(
    *$(at::Tensor* _self)));
  }|]

nan_to_num__tddd
  :: Ptr Tensor
  -> CDouble
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num__tddd _self _nan _posinf _neginf =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num_(
    *$(at::Tensor* _self)
  , $(double _nan)
  , $(double _posinf)
  , $(double _neginf)));
  }|]

nan_to_num__tdd
  :: Ptr Tensor
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num__tdd _self _nan _posinf =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num_(
    *$(at::Tensor* _self)
  , $(double _nan)
  , $(double _posinf)));
  }|]

nan_to_num__td
  :: Ptr Tensor
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num__td _self _nan =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num_(
    *$(at::Tensor* _self)
  , $(double _nan)));
  }|]

nan_to_num__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
nan_to_num__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num_(
    *$(at::Tensor* _self)));
  }|]

nan_to_num_out_ttddd
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num_out_ttddd _out _self _nan _posinf _neginf =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , $(double _nan)
  , $(double _posinf)
  , $(double _neginf)));
  }|]

nan_to_num_out_ttdd
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num_out_ttdd _out _self _nan _posinf =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , $(double _nan)
  , $(double _posinf)));
  }|]

nan_to_num_out_ttd
  :: Ptr Tensor
  -> Ptr Tensor
  -> CDouble
  -> IO (Ptr Tensor)
nan_to_num_out_ttd _out _self _nan =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , $(double _nan)));
  }|]

nan_to_num_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
nan_to_num_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::nan_to_num_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

linear_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
linear_ttt _input _weight _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::linear(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)));
  }|]

linear_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
linear_tt _input _weight =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::linear(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)));
  }|]

linear_backward_ttta
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr (StdArray '(CBool,3))
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
linear_backward_ttta _self _grad_output _weight _output_mask =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::linear_backward(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _grad_output)
  , *$(at::Tensor* _weight)
  , *$(std::array<bool,3>* _output_mask)));
  }|]

linear_out_tttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
linear_out_tttt _out _input _weight _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::linear_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)));
  }|]

linear_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
linear_out_ttt _out _input _weight =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::linear_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)));
  }|]

mkldnn_linear_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
mkldnn_linear_ttt _self _weight _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_linear(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _bias)));
  }|]

mkldnn_linear_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
mkldnn_linear_tt _self _weight =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_linear(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _weight)));
  }|]

mkldnn_linear_backward_input_ltt
  :: Ptr IntArray
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
mkldnn_linear_backward_input_ltt _input_size _grad_output _weight =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_linear_backward_input(
    *$(std::vector<int64_t>* _input_size)
  , *$(at::Tensor* _grad_output)
  , *$(at::Tensor* _weight)));
  }|]

mkldnn_linear_backward_weights_tttb
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> CBool
  -> IO (Ptr (StdTuple '(Tensor,Tensor)))
mkldnn_linear_backward_weights_tttb _grad_output _input _weight _bias_defined =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::mkldnn_linear_backward_weights(
    *$(at::Tensor* _grad_output)
  , *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)
  , $(bool _bias_defined)));
  }|]

mkldnn_linear_backward_ttta
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr (StdArray '(CBool,3))
  -> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
mkldnn_linear_backward_ttta _self _grad_output _weight _output_mask =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::mkldnn_linear_backward(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _grad_output)
  , *$(at::Tensor* _weight)
  , *$(std::array<bool,3>* _output_mask)));
  }|]

fbgemm_linear_int8_weight_fp32_activation_ttttsst
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Scalar
  -> Ptr Scalar
  -> Ptr Tensor
  -> IO (Ptr Tensor)
fbgemm_linear_int8_weight_fp32_activation_ttttsst _input _weight _packed _col_offsets _weight_scale _weight_zero_point _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fbgemm_linear_int8_weight_fp32_activation(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _packed)
  , *$(at::Tensor* _col_offsets)
  , *$(at::Scalar* _weight_scale)
  , *$(at::Scalar* _weight_zero_point)
  , *$(at::Tensor* _bias)));
  }|]

fbgemm_linear_int8_weight_ttttsst
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> Ptr Scalar
  -> Ptr Scalar
  -> Ptr Tensor
  -> IO (Ptr Tensor)
fbgemm_linear_int8_weight_ttttsst _input _weight _packed _col_offsets _weight_scale _weight_zero_point _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fbgemm_linear_int8_weight(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _weight)
  , *$(at::Tensor* _packed)
  , *$(at::Tensor* _col_offsets)
  , *$(at::Scalar* _weight_scale)
  , *$(at::Scalar* _weight_zero_point)
  , *$(at::Tensor* _bias)));
  }|]

fbgemm_linear_quantize_weight_t
  :: Ptr Tensor
  -> IO (Ptr (StdTuple '(Tensor,Tensor,CDouble,Int64)))
fbgemm_linear_quantize_weight_t _input =
  [C.throwBlock| std::tuple<at::Tensor,at::Tensor,double,int64_t>* { return new std::tuple<at::Tensor,at::Tensor,double,int64_t>(at::fbgemm_linear_quantize_weight(
    *$(at::Tensor* _input)));
  }|]

fbgemm_pack_gemm_matrix_fp16_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
fbgemm_pack_gemm_matrix_fp16_t _input =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fbgemm_pack_gemm_matrix_fp16(
    *$(at::Tensor* _input)));
  }|]

fbgemm_linear_fp16_weight_fp32_activation_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
fbgemm_linear_fp16_weight_fp32_activation_ttt _input _packed_weight _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fbgemm_linear_fp16_weight_fp32_activation(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _packed_weight)
  , *$(at::Tensor* _bias)));
  }|]

fbgemm_linear_fp16_weight_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
fbgemm_linear_fp16_weight_ttt _input _packed_weight _bias =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fbgemm_linear_fp16_weight(
    *$(at::Tensor* _input)
  , *$(at::Tensor* _packed_weight)
  , *$(at::Tensor* _bias)));
  }|]

fbgemm_pack_quantized_matrix_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
fbgemm_pack_quantized_matrix_t _input =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fbgemm_pack_quantized_matrix(
    *$(at::Tensor* _input)));
  }|]

fbgemm_pack_quantized_matrix_tll
  :: Ptr Tensor
  -> Int64
  -> Int64
  -> IO (Ptr Tensor)
fbgemm_pack_quantized_matrix_tll _input _K _N =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::fbgemm_pack_quantized_matrix(
    *$(at::Tensor* _input)
  , $(int64_t _K)
  , $(int64_t _N)));
  }|]

ldexp_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
ldexp_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::ldexp(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

ldexp__tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
ldexp__tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::ldexp_(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

ldexp_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
ldexp_out_ttt _out _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::ldexp_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

linspace_sslo
  :: Ptr Scalar
  -> Ptr Scalar
  -> Int64
  -> Ptr TensorOptions
  -> IO (Ptr Tensor)
linspace_sslo _start _end _steps _options =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::linspace(
    *$(at::Scalar* _start)
  , *$(at::Scalar* _end)
  , $(int64_t _steps)
  , *$(at::TensorOptions* _options)));
  }|]

linspace_ssl
  :: Ptr Scalar
  -> Ptr Scalar
  -> Int64
  -> IO (Ptr Tensor)
linspace_ssl _start _end _steps =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::linspace(
    *$(at::Scalar* _start)
  , *$(at::Scalar* _end)
  , $(int64_t _steps)));
  }|]

linspace_out_tssl
  :: Ptr Tensor
  -> Ptr Scalar
  -> Ptr Scalar
  -> Int64
  -> IO (Ptr Tensor)
linspace_out_tssl _out _start _end _steps =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::linspace_out(
    *$(at::Tensor* _out)
  , *$(at::Scalar* _start)
  , *$(at::Scalar* _end)
  , $(int64_t _steps)));
  }|]

log_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
log_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log(
    *$(at::Tensor* _self)));
  }|]

log__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
log__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log_(
    *$(at::Tensor* _self)));
  }|]

log_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
log_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

log10_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
log10_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log10(
    *$(at::Tensor* _self)));
  }|]

log10__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
log10__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log10_(
    *$(at::Tensor* _self)));
  }|]

log10_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
log10_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log10_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

log1p_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
log1p_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log1p(
    *$(at::Tensor* _self)));
  }|]

log1p__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
log1p__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log1p_(
    *$(at::Tensor* _self)));
  }|]

log1p_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
log1p_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log1p_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

log2_t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
log2_t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log2(
    *$(at::Tensor* _self)));
  }|]

log2__t
  :: Ptr Tensor
  -> IO (Ptr Tensor)
log2__t _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log2_(
    *$(at::Tensor* _self)));
  }|]

log2_out_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
log2_out_tt _out _self =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::log2_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)));
  }|]

logaddexp_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
logaddexp_out_ttt _out _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::logaddexp_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

logaddexp_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
logaddexp_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::logaddexp(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

logaddexp2_out_ttt
  :: Ptr Tensor
  -> Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
logaddexp2_out_ttt _out _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::logaddexp2_out(
    *$(at::Tensor* _out)
  , *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

logaddexp2_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
logaddexp2_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::logaddexp2(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

xlogy_tt
  :: Ptr Tensor
  -> Ptr Tensor
  -> IO (Ptr Tensor)
xlogy_tt _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::xlogy(
    *$(at::Tensor* _self)
  , *$(at::Tensor* _other)));
  }|]

xlogy_st
  :: Ptr Scalar
  -> Ptr Tensor
  -> IO (Ptr Tensor)
xlogy_st _self _other =
  [C.throwBlock| at::Tensor* { return new at::Tensor(at::xlogy(
    *$(at::Scalar* _self)
  , *$(at::Tensor* _other)));
  }|]