libtorch-ffi-2.0.0.0: src/Torch/Internal/Unmanaged/Native/Native14.hs
-- generated by using spec/Declarations.yaml
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE PolyKinds #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE QuasiQuotes #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE OverloadedStrings #-}
module Torch.Internal.Unmanaged.Native.Native14 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>"
miopen_convolution_out_ttttllllbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> CBool
-> CBool
-> IO (Ptr Tensor)
miopen_convolution_out_ttttllllbb _out _self _weight _bias _padding _stride _dilation _groups _benchmark _deterministic =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::miopen_convolution_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _weight)
, *$(at::Tensor* _bias)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)
, *$(std::vector<int64_t>* _dilation)
, $(int64_t _groups)
, $(bool _benchmark)
, $(bool _deterministic)));
}|]
miopen_convolution_transpose_out_ttttlllllbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> CBool
-> CBool
-> IO (Ptr Tensor)
miopen_convolution_transpose_out_ttttlllllbb _out _self _weight _bias _padding _output_padding _stride _dilation _groups _benchmark _deterministic =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::miopen_convolution_transpose_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _weight)
, *$(at::Tensor* _bias)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _output_padding)
, *$(std::vector<int64_t>* _stride)
, *$(std::vector<int64_t>* _dilation)
, $(int64_t _groups)
, $(bool _benchmark)
, $(bool _deterministic)));
}|]
miopen_depthwise_convolution_out_ttttllllbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> CBool
-> CBool
-> IO (Ptr Tensor)
miopen_depthwise_convolution_out_ttttllllbb _out _self _weight _bias _padding _stride _dilation _groups _benchmark _deterministic =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::miopen_depthwise_convolution_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _weight)
, *$(at::Tensor* _bias)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)
, *$(std::vector<int64_t>* _dilation)
, $(int64_t _groups)
, $(bool _benchmark)
, $(bool _deterministic)));
}|]
miopen_rnn_out_ttttttllttlllbdbblt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr TensorList
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Int64
-> CBool
-> CDouble
-> CBool
-> CBool
-> Ptr IntArray
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor,Tensor)))
miopen_rnn_out_ttttttllttlllbdbblt _out0 _out1 _out2 _out3 _out4 _input _weight _weight_stride0 _hx _cx _mode _hidden_size _num_layers _batch_first _dropout _train _bidirectional _batch_sizes _dropout_state =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::miopen_rnn_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _out3)
, *$(at::Tensor* _out4)
, *$(at::Tensor* _input)
, *$(std::vector<at::Tensor>* _weight)
, $(int64_t _weight_stride0)
, *$(at::Tensor* _hx)
, *$(at::Tensor* _cx)
, $(int64_t _mode)
, $(int64_t _hidden_size)
, $(int64_t _num_layers)
, $(bool _batch_first)
, $(double _dropout)
, $(bool _train)
, $(bool _bidirectional)
, *$(std::vector<int64_t>* _batch_sizes)
, *$(at::Tensor* _dropout_state)));
}|]
miopen_rnn_backward_out_tttltlltttttttlllbdbbltta
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr TensorList
-> Ptr Tensor
-> Ptr TensorList
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Int64
-> CBool
-> CDouble
-> CBool
-> CBool
-> Ptr IntArray
-> Ptr Tensor
-> Ptr Tensor
-> Ptr (StdArray '(CBool,4))
-> IO (())
miopen_rnn_backward_out_tttltlltttttttlllbdbbltta _out0 _out1 _out2 _out3 _input _weight _weight_stride0 _weight_buf _hx _cx _output _grad_output _grad_hy _grad_cy _mode _hidden_size _num_layers _batch_first _dropout _train _bidirectional _batch_sizes _dropout_state _reserve _output_mask =
[C.throwBlock| void { (at::miopen_rnn_backward_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(std::vector<at::Tensor>* _out3)
, *$(at::Tensor* _input)
, *$(std::vector<at::Tensor>* _weight)
, $(int64_t _weight_stride0)
, *$(at::Tensor* _weight_buf)
, *$(at::Tensor* _hx)
, *$(at::Tensor* _cx)
, *$(at::Tensor* _output)
, *$(at::Tensor* _grad_output)
, *$(at::Tensor* _grad_hy)
, *$(at::Tensor* _grad_cy)
, $(int64_t _mode)
, $(int64_t _hidden_size)
, $(int64_t _num_layers)
, $(bool _batch_first)
, $(double _dropout)
, $(bool _train)
, $(bool _bidirectional)
, *$(std::vector<int64_t>* _batch_sizes)
, *$(at::Tensor* _dropout_state)
, *$(at::Tensor* _reserve)
, *$(std::array<bool,4>* _output_mask)));
}|]
_sparse_sparse_matmul_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_sparse_sparse_matmul_out_ttt _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_sparse_matmul_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _other)));
}|]
mul_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
mul_out_tts _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mul_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _other)));
}|]
_native_batch_norm_legit_functional_tttttbdd
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CDouble
-> CDouble
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor,Tensor)))
_native_batch_norm_legit_functional_tttttbdd _input _weight _bias _running_mean _running_var _training _momentum _eps =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_native_batch_norm_legit_functional(
*$(at::Tensor* _input)
, *$(at::Tensor* _weight)
, *$(at::Tensor* _bias)
, *$(at::Tensor* _running_mean)
, *$(at::Tensor* _running_var)
, $(bool _training)
, $(double _momentum)
, $(double _eps)));
}|]
batch_norm_stats_out_tttd
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
batch_norm_stats_out_tttd _out0 _out1 _input _eps =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::batch_norm_stats_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _input)
, $(double _eps)));
}|]
batch_norm_gather_stats_out_tttttttddl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CDouble
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
batch_norm_gather_stats_out_tttttttddl _out0 _out1 _input _mean _invstd _running_mean _running_var _momentum _eps _count =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::batch_norm_gather_stats_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _input)
, *$(at::Tensor* _mean)
, *$(at::Tensor* _invstd)
, *$(at::Tensor* _running_mean)
, *$(at::Tensor* _running_var)
, $(double _momentum)
, $(double _eps)
, $(int64_t _count)));
}|]
batch_norm_gather_stats_with_counts_out_tttttttddt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> CDouble
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
batch_norm_gather_stats_with_counts_out_tttttttddt _out0 _out1 _input _mean _invstd _running_mean _running_var _momentum _eps _counts =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::batch_norm_gather_stats_with_counts_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _input)
, *$(at::Tensor* _mean)
, *$(at::Tensor* _invstd)
, *$(at::Tensor* _running_mean)
, *$(at::Tensor* _running_var)
, $(double _momentum)
, $(double _eps)
, *$(at::Tensor* _counts)));
}|]
native_batch_norm_backward_out_ttttttttttbda
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CDouble
-> Ptr (StdArray '(CBool,3))
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
native_batch_norm_backward_out_ttttttttttbda _out0 _out1 _out2 _grad_out _input _weight _running_mean _running_var _save_mean _save_invstd _train _eps _output_mask =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::native_batch_norm_backward_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _grad_out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _weight)
, *$(at::Tensor* _running_mean)
, *$(at::Tensor* _running_var)
, *$(at::Tensor* _save_mean)
, *$(at::Tensor* _save_invstd)
, $(bool _train)
, $(double _eps)
, *$(std::array<bool,3>* _output_mask)));
}|]
batch_norm_backward_reduce_out_tttttttttbbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor)))
batch_norm_backward_reduce_out_tttttttttbbb _out0 _out1 _out2 _out3 _grad_out _input _mean _invstd _weight _input_g _weight_g _bias_g =
[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::batch_norm_backward_reduce_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _out3)
, *$(at::Tensor* _grad_out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _mean)
, *$(at::Tensor* _invstd)
, *$(at::Tensor* _weight)
, $(bool _input_g)
, $(bool _weight_g)
, $(bool _bias_g)));
}|]
batch_norm_backward_elemt_out_ttttttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
batch_norm_backward_elemt_out_ttttttttt _out _grad_out _input _mean _invstd _weight _mean_dy _mean_dy_xmu _count =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::batch_norm_backward_elemt_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad_out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _mean)
, *$(at::Tensor* _invstd)
, *$(at::Tensor* _weight)
, *$(at::Tensor* _mean_dy)
, *$(at::Tensor* _mean_dy_xmu)
, *$(at::Tensor* _count)));
}|]
batch_norm_update_stats_out_tttttd
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
batch_norm_update_stats_out_tttttd _out0 _out1 _input _running_mean _running_var _momentum =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::batch_norm_update_stats_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _input)
, *$(at::Tensor* _running_mean)
, *$(at::Tensor* _running_var)
, $(double _momentum)));
}|]
_nnpack_spatial_convolution_out_ttttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
_nnpack_spatial_convolution_out_ttttll _out _input _weight _bias _padding _stride =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nnpack_spatial_convolution_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _weight)
, *$(at::Tensor* _bias)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)));
}|]
_nnpack_spatial_convolution_out_ttttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_nnpack_spatial_convolution_out_ttttl _out _input _weight _bias _padding =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nnpack_spatial_convolution_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _input)
, *$(at::Tensor* _weight)
, *$(at::Tensor* _bias)
, *$(std::vector<int64_t>* _padding)));
}|]
ones_out_tlN
:: Ptr Tensor
-> Ptr IntArray
-> Ptr DimnameList
-> IO (Ptr Tensor)
ones_out_tlN _out _size _names =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::ones_out(
*$(at::Tensor* _out)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<at::Dimname>* _names)));
}|]
ones_like_out_ttM
:: Ptr Tensor
-> Ptr Tensor
-> MemoryFormat
-> IO (Ptr Tensor)
ones_like_out_ttM _out _self _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::ones_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::MemoryFormat _memory_format)));
}|]
ones_like_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
ones_like_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::ones_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_euclidean_dist_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_euclidean_dist_out_ttt _out _x1 _x2 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_euclidean_dist_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x1)
, *$(at::Tensor* _x2)));
}|]
_cdist_forward_out_tttdl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> IO (Ptr Tensor)
_cdist_forward_out_tttdl _out _x1 _x2 _p _compute_mode =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_cdist_forward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x1)
, *$(at::Tensor* _x2)
, $(double _p)
, $(int64_t _compute_mode)));
}|]
_cdist_backward_out_ttttdt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Ptr Tensor
-> IO (Ptr Tensor)
_cdist_backward_out_ttttdt _out _grad _x1 _x2 _p _cdist =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_cdist_backward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad)
, *$(at::Tensor* _x1)
, *$(at::Tensor* _x2)
, $(double _p)
, *$(at::Tensor* _cdist)));
}|]
_pdist_forward_out_ttd
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> IO (Ptr Tensor)
_pdist_forward_out_ttd _out _self _p =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_pdist_forward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _p)));
}|]
_pdist_forward_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_pdist_forward_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_pdist_forward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_pdist_backward_out_tttdt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Ptr Tensor
-> IO (Ptr Tensor)
_pdist_backward_out_tttdt _out _grad _self _p _pdist =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_pdist_backward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad)
, *$(at::Tensor* _self)
, $(double _p)
, *$(at::Tensor* _pdist)));
}|]
pixel_shuffle_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
pixel_shuffle_out_ttl _out _self _upscale_factor =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::pixel_shuffle_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _upscale_factor)));
}|]
pixel_unshuffle_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
pixel_unshuffle_out_ttl _out _self _downscale_factor =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::pixel_unshuffle_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _downscale_factor)));
}|]
channel_shuffle_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
channel_shuffle_out_ttl _out _self _groups =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::channel_shuffle_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _groups)));
}|]
_pin_memory_out_ttD
:: Ptr Tensor
-> Ptr Tensor
-> DeviceType
-> IO (Ptr Tensor)
_pin_memory_out_ttD _out _self _device =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_pin_memory_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::DeviceType _device)));
}|]
_pin_memory_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_pin_memory_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_pin_memory_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
scalar_tensor_out_ts
:: Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
scalar_tensor_out_ts _out _s =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::scalar_tensor_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _s)));
}|]
rand_out_tlN
:: Ptr Tensor
-> Ptr IntArray
-> Ptr DimnameList
-> IO (Ptr Tensor)
rand_out_tlN _out _size _names =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rand_out(
*$(at::Tensor* _out)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<at::Dimname>* _names)));
}|]
rand_out_tlGN
:: Ptr Tensor
-> Ptr IntArray
-> Ptr Generator
-> Ptr DimnameList
-> IO (Ptr Tensor)
rand_out_tlGN _out _size _generator _names =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rand_out(
*$(at::Tensor* _out)
, *$(std::vector<int64_t>* _size)
, *$(at::Generator* _generator)
, *$(std::vector<at::Dimname>* _names)));
}|]
rand_like_out_ttM
:: Ptr Tensor
-> Ptr Tensor
-> MemoryFormat
-> IO (Ptr Tensor)
rand_like_out_ttM _out _self _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rand_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::MemoryFormat _memory_format)));
}|]
rand_like_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
rand_like_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rand_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
randint_like_out_ttlM
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> MemoryFormat
-> IO (Ptr Tensor)
randint_like_out_ttlM _out _self _high _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::randint_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _high)
, $(at::MemoryFormat _memory_format)));
}|]
randint_like_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
randint_like_out_ttl _out _self _high =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::randint_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _high)));
}|]
randint_like_out_ttllM
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> MemoryFormat
-> IO (Ptr Tensor)
randint_like_out_ttllM _out _self _low _high _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::randint_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _low)
, $(int64_t _high)
, $(at::MemoryFormat _memory_format)));
}|]
randint_like_out_ttll
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
randint_like_out_ttll _out _self _low _high =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::randint_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _low)
, $(int64_t _high)));
}|]
randn_out_tlN
:: Ptr Tensor
-> Ptr IntArray
-> Ptr DimnameList
-> IO (Ptr Tensor)
randn_out_tlN _out _size _names =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::randn_out(
*$(at::Tensor* _out)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<at::Dimname>* _names)));
}|]
randn_out_tlGN
:: Ptr Tensor
-> Ptr IntArray
-> Ptr Generator
-> Ptr DimnameList
-> IO (Ptr Tensor)
randn_out_tlGN _out _size _generator _names =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::randn_out(
*$(at::Tensor* _out)
, *$(std::vector<int64_t>* _size)
, *$(at::Generator* _generator)
, *$(std::vector<at::Dimname>* _names)));
}|]
randn_like_out_ttM
:: Ptr Tensor
-> Ptr Tensor
-> MemoryFormat
-> IO (Ptr Tensor)
randn_like_out_ttM _out _self _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::randn_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::MemoryFormat _memory_format)));
}|]
randn_like_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
randn_like_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::randn_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
repeat_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
repeat_out_ttl _out _self _repeats =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::repeat_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _repeats)));
}|]
repeat_interleave_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
repeat_interleave_out_ttl _out _repeats _output_size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::repeat_interleave_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _repeats)
, $(int64_t _output_size)));
}|]
repeat_interleave_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
repeat_interleave_out_tt _out _repeats =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::repeat_interleave_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _repeats)));
}|]
_mkldnn_reshape_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_mkldnn_reshape_out_ttl _out _self _shape =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_mkldnn_reshape_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _shape)));
}|]
relu_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
relu_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::relu_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
select_backward_out_ttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> Int64
-> IO (Ptr Tensor)
select_backward_out_ttlll _out _grad_output _input_sizes _dim _index =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::select_backward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad_output)
, *$(std::vector<int64_t>* _input_sizes)
, $(int64_t _dim)
, $(int64_t _index)));
}|]
celu_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
celu_out_tts _out _self _alpha =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::celu_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _alpha)));
}|]
celu_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
celu_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::celu_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
slice_backward_out_ttlllll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
slice_backward_out_ttlllll _out _grad_output _input_sizes _dim _start _end _step =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_backward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad_output)
, *$(std::vector<int64_t>* _input_sizes)
, $(int64_t _dim)
, $(int64_t _start)
, $(int64_t _end)
, $(int64_t _step)));
}|]
slice_scatter_out_tttllll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
slice_scatter_out_tttllll _out _self _src _dim _start _end _step =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(int64_t _dim)
, $(int64_t _start)
, $(int64_t _end)
, $(int64_t _step)));
}|]
slice_scatter_out_tttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
slice_scatter_out_tttlll _out _self _src _dim _start _end =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(int64_t _dim)
, $(int64_t _start)
, $(int64_t _end)));
}|]
slice_scatter_out_tttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
slice_scatter_out_tttll _out _self _src _dim _start =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(int64_t _dim)
, $(int64_t _start)));
}|]
slice_scatter_out_tttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
slice_scatter_out_tttl _out _self _src _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(int64_t _dim)));
}|]
slice_scatter_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
slice_scatter_out_ttt _out _self _src =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::slice_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)));
}|]
select_scatter_out_tttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
select_scatter_out_tttll _out _self _src _dim _index =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::select_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(int64_t _dim)
, $(int64_t _index)));
}|]
diagonal_scatter_out_tttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
diagonal_scatter_out_tttlll _out _self _src _offset _dim1 _dim2 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::diagonal_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(int64_t _offset)
, $(int64_t _dim1)
, $(int64_t _dim2)));
}|]
diagonal_scatter_out_tttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
diagonal_scatter_out_tttll _out _self _src _offset _dim1 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::diagonal_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(int64_t _offset)
, $(int64_t _dim1)));
}|]
diagonal_scatter_out_tttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
diagonal_scatter_out_tttl _out _self _src _offset =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::diagonal_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(int64_t _offset)));
}|]
diagonal_scatter_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
diagonal_scatter_out_ttt _out _self _src =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::diagonal_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)));
}|]
as_strided_scatter_out_tttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> IO (Ptr Tensor)
as_strided_scatter_out_tttlll _out _self _src _size _stride _storage_offset =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::as_strided_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<int64_t>* _stride)
, $(int64_t _storage_offset)));
}|]
as_strided_scatter_out_tttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
as_strided_scatter_out_tttll _out _self _src _size _stride =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::as_strided_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<int64_t>* _stride)));
}|]
unsafe_split_out_ltll
:: Ptr TensorList
-> Ptr Tensor
-> Int64
-> Int64
-> IO (())
unsafe_split_out_ltll _out _self _split_size _dim =
[C.throwBlock| void { (at::unsafe_split_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, $(int64_t _split_size)
, $(int64_t _dim)));
}|]
unsafe_split_out_ltl
:: Ptr TensorList
-> Ptr Tensor
-> Int64
-> IO (())
unsafe_split_out_ltl _out _self _split_size =
[C.throwBlock| void { (at::unsafe_split_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, $(int64_t _split_size)));
}|]
unsafe_split_with_sizes_out_ltll
:: Ptr TensorList
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> IO (())
unsafe_split_with_sizes_out_ltll _out _self _split_sizes _dim =
[C.throwBlock| void { (at::unsafe_split_with_sizes_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _split_sizes)
, $(int64_t _dim)));
}|]
unsafe_split_with_sizes_out_ltl
:: Ptr TensorList
-> Ptr Tensor
-> Ptr IntArray
-> IO (())
unsafe_split_with_sizes_out_ltl _out _self _split_sizes =
[C.throwBlock| void { (at::unsafe_split_with_sizes_out(
*$(std::vector<at::Tensor>* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _split_sizes)));
}|]
sum_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> ScalarType
-> IO (Ptr Tensor)
sum_out_tts _out _self _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sum_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::ScalarType _dtype)));
}|]
sum_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
sum_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sum_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
std_mean_out_tttllb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
std_mean_out_tttllb _out0 _out1 _self _dim _correction _keepdim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::std_mean_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)
, $(int64_t _correction)
, $(bool _keepdim)));
}|]
std_mean_out_tttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
std_mean_out_tttll _out0 _out1 _self _dim _correction =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::std_mean_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)
, $(int64_t _correction)));
}|]
std_mean_out_tttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
std_mean_out_tttl _out0 _out1 _self _dim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::std_mean_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)));
}|]
std_mean_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
std_mean_out_ttt _out0 _out1 _self =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::std_mean_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)));
}|]
prod_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> ScalarType
-> IO (Ptr Tensor)
prod_out_tts _out _self _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::prod_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::ScalarType _dtype)));
}|]
prod_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
prod_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::prod_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_mkldnn_transpose_out_ttll
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
_mkldnn_transpose_out_ttll _out _self _dim0 _dim1 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_mkldnn_transpose_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _dim0)
, $(int64_t _dim1)));
}|]
flip_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
flip_out_ttl _out _self _dims =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::flip_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dims)));
}|]
roll_out_ttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
roll_out_ttll _out _self _shifts _dims =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::roll_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _shifts)
, *$(std::vector<int64_t>* _dims)));
}|]
roll_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
roll_out_ttl _out _self _shifts =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::roll_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _shifts)));
}|]
rot90_out_ttll
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> Ptr IntArray
-> IO (Ptr Tensor)
rot90_out_ttll _out _self _k _dims =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rot90_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _k)
, *$(std::vector<int64_t>* _dims)));
}|]
rot90_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
rot90_out_ttl _out _self _k =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rot90_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _k)));
}|]
rot90_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
rot90_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rot90_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_transform_bias_rescale_qkv_out_tttttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_transform_bias_rescale_qkv_out_tttttl _out0 _out1 _out2 _qkv _qkv_bias _num_heads =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_transform_bias_rescale_qkv_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _qkv)
, *$(at::Tensor* _qkv_bias)
, $(int64_t _num_heads)));
}|]
_nested_tensor_from_mask_out_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
_nested_tensor_from_mask_out_tttb _out _t _mask _mask_check =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_from_mask_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _t)
, *$(at::Tensor* _mask)
, $(bool _mask_check)));
}|]
_nested_tensor_from_mask_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_nested_tensor_from_mask_out_ttt _out _t _mask =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_from_mask_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _t)
, *$(at::Tensor* _mask)));
}|]
_nested_from_padded_out_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
_nested_from_padded_out_tttb _out _padded _cpu_nested_shape_example _fuse_transform_0213 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_from_padded_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _padded)
, *$(at::Tensor* _cpu_nested_shape_example)
, $(bool _fuse_transform_0213)));
}|]
_nested_from_padded_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_nested_from_padded_out_ttt _out _padded _cpu_nested_shape_example =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_from_padded_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _padded)
, *$(at::Tensor* _cpu_nested_shape_example)));
}|]
_nested_tensor_size_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_nested_tensor_size_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_size_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_nested_tensor_strides_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_nested_tensor_strides_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_tensor_strides_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_nested_from_padded_and_nested_example_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_nested_from_padded_and_nested_example_out_ttt _out _padded _nt_example =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_nested_from_padded_and_nested_example_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _padded)
, *$(at::Tensor* _nt_example)));
}|]
_trilinear_out_ttttlllll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> IO (Ptr Tensor)
_trilinear_out_ttttlllll _out _i1 _i2 _i3 _expand1 _expand2 _expand3 _sumdim _unroll_dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_trilinear_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _i1)
, *$(at::Tensor* _i2)
, *$(at::Tensor* _i3)
, *$(std::vector<int64_t>* _expand1)
, *$(std::vector<int64_t>* _expand2)
, *$(std::vector<int64_t>* _expand3)
, *$(std::vector<int64_t>* _sumdim)
, $(int64_t _unroll_dim)));
}|]
_trilinear_out_ttttllll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
_trilinear_out_ttttllll _out _i1 _i2 _i3 _expand1 _expand2 _expand3 _sumdim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_trilinear_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _i1)
, *$(at::Tensor* _i2)
, *$(at::Tensor* _i3)
, *$(std::vector<int64_t>* _expand1)
, *$(std::vector<int64_t>* _expand2)
, *$(std::vector<int64_t>* _expand3)
, *$(std::vector<int64_t>* _sumdim)));
}|]
_unique_out_tttbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_unique_out_tttbb _out0 _out1 _self _sorted _return_inverse =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_unique_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, $(bool _sorted)
, $(bool _return_inverse)));
}|]
_unique_out_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_unique_out_tttb _out0 _out1 _self _sorted =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_unique_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, $(bool _sorted)));
}|]
_unique_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_unique_out_ttt _out0 _out1 _self =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_unique_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)));
}|]
unique_dim_out_ttttlbbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_dim_out_ttttlbbb _out0 _out1 _out2 _self _dim _sorted _return_inverse _return_counts =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_dim_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, $(bool _sorted)
, $(bool _return_inverse)
, $(bool _return_counts)));
}|]
unique_dim_out_ttttlbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_dim_out_ttttlbb _out0 _out1 _out2 _self _dim _sorted _return_inverse =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_dim_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, $(bool _sorted)
, $(bool _return_inverse)));
}|]
unique_dim_out_ttttlb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_dim_out_ttttlb _out0 _out1 _out2 _self _dim _sorted =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_dim_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, $(bool _sorted)));
}|]
unique_dim_out_ttttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_dim_out_ttttl _out0 _out1 _out2 _self _dim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_dim_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(int64_t _dim)));
}|]
unique_consecutive_out_ttttbbl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_consecutive_out_ttttbbl _out0 _out1 _out2 _self _return_inverse _return_counts _dim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_consecutive_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(bool _return_inverse)
, $(bool _return_counts)
, $(int64_t _dim)));
}|]
unique_consecutive_out_ttttbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_consecutive_out_ttttbb _out0 _out1 _out2 _self _return_inverse _return_counts =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_consecutive_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(bool _return_inverse)
, $(bool _return_counts)));
}|]
unique_consecutive_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_consecutive_out_ttttb _out0 _out1 _out2 _self _return_inverse =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_consecutive_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(bool _return_inverse)));
}|]
unique_consecutive_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_consecutive_out_tttt _out0 _out1 _out2 _self =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_consecutive_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)));
}|]
unique_dim_consecutive_out_ttttlbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_dim_consecutive_out_ttttlbb _out0 _out1 _out2 _self _dim _return_inverse _return_counts =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_dim_consecutive_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, $(bool _return_inverse)
, $(bool _return_counts)));
}|]
unique_dim_consecutive_out_ttttlb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_dim_consecutive_out_ttttlb _out0 _out1 _out2 _self _dim _return_inverse =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_dim_consecutive_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, $(bool _return_inverse)));
}|]
unique_dim_consecutive_out_ttttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
unique_dim_consecutive_out_ttttl _out0 _out1 _out2 _self _dim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::unique_dim_consecutive_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(int64_t _dim)));
}|]
_unique2_out_ttttbbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_unique2_out_ttttbbb _out0 _out1 _out2 _self _sorted _return_inverse _return_counts =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_unique2_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(bool _sorted)
, $(bool _return_inverse)
, $(bool _return_counts)));
}|]
_unique2_out_ttttbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_unique2_out_ttttbb _out0 _out1 _out2 _self _sorted _return_inverse =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_unique2_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(bool _sorted)
, $(bool _return_inverse)));
}|]
_unique2_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_unique2_out_ttttb _out0 _out1 _out2 _self _sorted =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_unique2_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)
, $(bool _sorted)));
}|]
_unique2_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_unique2_out_tttt _out0 _out1 _out2 _self =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_unique2_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _self)));
}|]
_unsafe_view_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_unsafe_view_out_ttl _out _self _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_unsafe_view_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)));
}|]
var_mean_out_tttllb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
var_mean_out_tttllb _out0 _out1 _self _dim _correction _keepdim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::var_mean_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)
, $(int64_t _correction)
, $(bool _keepdim)));
}|]
var_mean_out_tttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
var_mean_out_tttll _out0 _out1 _self _dim _correction =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::var_mean_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)
, $(int64_t _correction)));
}|]
var_mean_out_tttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
var_mean_out_tttl _out0 _out1 _self _dim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::var_mean_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)));
}|]
var_mean_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
var_mean_out_ttt _out0 _out1 _self =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::var_mean_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)));
}|]
_weight_norm_interface_out_ttttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_weight_norm_interface_out_ttttl _out0 _out1 _v _g _dim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_weight_norm_interface_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _v)
, *$(at::Tensor* _g)
, $(int64_t _dim)));
}|]
_weight_norm_interface_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_weight_norm_interface_out_tttt _out0 _out1 _v _g =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_weight_norm_interface_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _v)
, *$(at::Tensor* _g)));
}|]
_weight_norm_interface_backward_out_ttttttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_weight_norm_interface_backward_out_ttttttl _out0 _out1 _grad_w _saved_v _saved_g _saved_norms _dim =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_weight_norm_interface_backward_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _grad_w)
, *$(at::Tensor* _saved_v)
, *$(at::Tensor* _saved_g)
, *$(at::Tensor* _saved_norms)
, $(int64_t _dim)));
}|]
zeros_out_tlN
:: Ptr Tensor
-> Ptr IntArray
-> Ptr DimnameList
-> IO (Ptr Tensor)
zeros_out_tlN _out _size _names =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::zeros_out(
*$(at::Tensor* _out)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<at::Dimname>* _names)));
}|]
_efficientzerotensor_out_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_efficientzerotensor_out_tl _out _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_efficientzerotensor_out(
*$(at::Tensor* _out)
, *$(std::vector<int64_t>* _size)));
}|]
zeros_like_out_ttM
:: Ptr Tensor
-> Ptr Tensor
-> MemoryFormat
-> IO (Ptr Tensor)
zeros_like_out_ttM _out _self _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::zeros_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::MemoryFormat _memory_format)));
}|]
zeros_like_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
zeros_like_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::zeros_like_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_standard_gamma_grad_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_standard_gamma_grad_out_ttt _out _self _output =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_standard_gamma_grad_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _output)));
}|]
_standard_gamma_out_ttG
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Generator
-> IO (Ptr Tensor)
_standard_gamma_out_ttG _out _self _generator =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_standard_gamma_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Generator* _generator)));
}|]
_standard_gamma_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_standard_gamma_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_standard_gamma_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_dirichlet_grad_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_dirichlet_grad_out_tttt _out _x _alpha _total =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_dirichlet_grad_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _x)
, *$(at::Tensor* _alpha)
, *$(at::Tensor* _total)));
}|]
_sample_dirichlet_out_ttG
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Generator
-> IO (Ptr Tensor)
_sample_dirichlet_out_ttG _out _self _generator =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sample_dirichlet_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Generator* _generator)));
}|]
_sample_dirichlet_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_sample_dirichlet_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sample_dirichlet_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
poisson_out_ttG
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Generator
-> IO (Ptr Tensor)
poisson_out_ttG _out _self _generator =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::poisson_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Generator* _generator)));
}|]
poisson_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
poisson_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::poisson_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
binomial_out_tttG
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Generator
-> IO (Ptr Tensor)
binomial_out_tttG _out _count _prob _generator =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::binomial_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _count)
, *$(at::Tensor* _prob)
, *$(at::Generator* _generator)));
}|]
binomial_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
binomial_out_ttt _out _count _prob =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::binomial_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _count)
, *$(at::Tensor* _prob)));
}|]
native_norm_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
native_norm_out_tts _out _self _p =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::native_norm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _p)));
}|]
native_norm_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
native_norm_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::native_norm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
native_norm_out_ttslbs
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> Ptr IntArray
-> CBool
-> ScalarType
-> IO (Ptr Tensor)
native_norm_out_ttslbs _out _self _p _dim _keepdim _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::native_norm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _p)
, *$(std::vector<int64_t>* _dim)
, $(bool _keepdim)
, $(at::ScalarType _dtype)));
}|]
_sparse_sum_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_sparse_sum_out_ttl _out _self _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_sum_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)));
}|]
_sparse_sum_backward_out_tttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_sparse_sum_backward_out_tttl _out _grad _self _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_sum_backward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)));
}|]
_sparse_csr_sum_out_ttlbs
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> CBool
-> ScalarType
-> IO (Ptr Tensor)
_sparse_csr_sum_out_ttlbs _out _self _dim _keepdim _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_csr_sum_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)
, $(bool _keepdim)
, $(at::ScalarType _dtype)));
}|]
_sparse_csr_sum_out_ttlb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> CBool
-> IO (Ptr Tensor)
_sparse_csr_sum_out_ttlb _out _self _dim _keepdim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_csr_sum_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)
, $(bool _keepdim)));
}|]
_sparse_csr_sum_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_sparse_csr_sum_out_ttl _out _self _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_csr_sum_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)));
}|]
_sparse_csr_prod_out_ttlbs
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> CBool
-> ScalarType
-> IO (Ptr Tensor)
_sparse_csr_prod_out_ttlbs _out _self _dim _keepdim _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_csr_prod_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)
, $(bool _keepdim)
, $(at::ScalarType _dtype)));
}|]
_sparse_csr_prod_out_ttlb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> CBool
-> IO (Ptr Tensor)
_sparse_csr_prod_out_ttlb _out _self _dim _keepdim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_csr_prod_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)
, $(bool _keepdim)));
}|]
_sparse_csr_prod_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_sparse_csr_prod_out_ttl _out _self _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_csr_prod_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _dim)));
}|]
_sparse_softmax_out_ttlb
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> IO (Ptr Tensor)
_sparse_softmax_out_ttlb _out _self _dim _half_to_float =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_softmax_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, $(bool _half_to_float)));
}|]
_sparse_softmax_backward_data_out_tttlt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Ptr Tensor
-> IO (Ptr Tensor)
_sparse_softmax_backward_data_out_tttlt _out _grad_output _output _dim _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_softmax_backward_data_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad_output)
, *$(at::Tensor* _output)
, $(int64_t _dim)
, *$(at::Tensor* _self)));
}|]
_sparse_log_softmax_out_ttlb
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> CBool
-> IO (Ptr Tensor)
_sparse_log_softmax_out_ttlb _out _self _dim _half_to_float =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_log_softmax_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, $(bool _half_to_float)));
}|]
_sparse_log_softmax_backward_data_out_tttlt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Ptr Tensor
-> IO (Ptr Tensor)
_sparse_log_softmax_backward_data_out_tttlt _out _grad_output _output _dim _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_log_softmax_backward_data_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad_output)
, *$(at::Tensor* _output)
, $(int64_t _dim)
, *$(at::Tensor* _self)));
}|]
_spdiags_out_tttlL
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Layout
-> IO (Ptr Tensor)
_spdiags_out_tttlL _out _diagonals _offsets _shape _layout =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_spdiags_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _diagonals)
, *$(at::Tensor* _offsets)
, *$(std::vector<int64_t>* _shape)
, $(at::Layout _layout)));
}|]
_spdiags_out_tttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
_spdiags_out_tttl _out _diagonals _offsets _shape =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_spdiags_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _diagonals)
, *$(at::Tensor* _offsets)
, *$(std::vector<int64_t>* _shape)));
}|]
norm_out_ttss
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> ScalarType
-> IO (Ptr Tensor)
norm_out_ttss _out _self _p _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::norm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _p)
, $(at::ScalarType _dtype)));
}|]
norm_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
norm_out_tts _out _self _p =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::norm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _p)));
}|]
norm_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
norm_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::norm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
clone_out_ttM
:: Ptr Tensor
-> Ptr Tensor
-> MemoryFormat
-> IO (Ptr Tensor)
clone_out_ttM _out _self _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::clone_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::MemoryFormat _memory_format)));
}|]
clone_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
clone_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::clone_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
resize_as_out_tttM
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> MemoryFormat
-> IO (Ptr Tensor)
resize_as_out_tttM _out _self _the_template _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::resize_as_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _the_template)
, $(at::MemoryFormat _memory_format)));
}|]
resize_as_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
resize_as_out_ttt _out _self _the_template =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::resize_as_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _the_template)));
}|]
resize_as_ttM
:: Ptr Tensor
-> Ptr Tensor
-> MemoryFormat
-> IO (Ptr Tensor)
resize_as_ttM _self _the_template _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::resize_as(
*$(at::Tensor* _self)
, *$(at::Tensor* _the_template)
, $(at::MemoryFormat _memory_format)));
}|]
resize_as_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
resize_as_tt _self _the_template =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::resize_as(
*$(at::Tensor* _self)
, *$(at::Tensor* _the_template)));
}|]
resize_as_sparse_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
resize_as_sparse_out_ttt _out _self _the_template =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::resize_as_sparse_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _the_template)));
}|]
resize_as_sparse_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
resize_as_sparse_tt _self _the_template =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::resize_as_sparse(
*$(at::Tensor* _self)
, *$(at::Tensor* _the_template)));
}|]
zero_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
zero_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::zero_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
zero_t
:: Ptr Tensor
-> IO (Ptr Tensor)
zero_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::zero(
*$(at::Tensor* _self)));
}|]
sub_out_ttss
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> Ptr Scalar
-> IO (Ptr Tensor)
sub_out_ttss _out _self _other _alpha =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sub_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _other)
, *$(at::Scalar* _alpha)));
}|]
sub_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
sub_out_tts _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sub_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _other)));
}|]
rsub_out_ttts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
rsub_out_ttts _out _self _other _alpha =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rsub_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _other)
, *$(at::Scalar* _alpha)));
}|]
rsub_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
rsub_out_ttt _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rsub_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _other)));
}|]
rsub_out_ttss
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> Ptr Scalar
-> IO (Ptr Tensor)
rsub_out_ttss _out _self _other _alpha =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rsub_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _other)
, *$(at::Scalar* _alpha)));
}|]
rsub_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
rsub_out_tts _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::rsub_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _other)));
}|]
_sparse_addmm_out_ttttss
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> Ptr Scalar
-> IO (Ptr Tensor)
_sparse_addmm_out_ttttss _out _self _mat1 _mat2 _beta _alpha =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_addmm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mat1)
, *$(at::Tensor* _mat2)
, *$(at::Scalar* _beta)
, *$(at::Scalar* _alpha)));
}|]
_sparse_addmm_out_tttts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
_sparse_addmm_out_tttts _out _self _mat1 _mat2 _beta =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_addmm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mat1)
, *$(at::Tensor* _mat2)
, *$(at::Scalar* _beta)));
}|]
_sparse_addmm_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_sparse_addmm_out_tttt _out _self _mat1 _mat2 =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_addmm_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mat1)
, *$(at::Tensor* _mat2)));
}|]
sparse_coo_tensor_out_tl
:: Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
sparse_coo_tensor_out_tl _out _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sparse_coo_tensor_out(
*$(at::Tensor* _out)
, *$(std::vector<int64_t>* _size)));
}|]
_sparse_coo_tensor_with_dims_out_tlll
:: Ptr Tensor
-> Int64
-> Int64
-> Ptr IntArray
-> IO (Ptr Tensor)
_sparse_coo_tensor_with_dims_out_tlll _out _sparse_dim _dense_dim _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_coo_tensor_with_dims_out(
*$(at::Tensor* _out)
, $(int64_t _sparse_dim)
, $(int64_t _dense_dim)
, *$(std::vector<int64_t>* _size)));
}|]
_sparse_coo_tensor_with_dims_and_tensors_out_tllltt
:: Ptr Tensor
-> Int64
-> Int64
-> Ptr IntArray
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_sparse_coo_tensor_with_dims_and_tensors_out_tllltt _out _sparse_dim _dense_dim _size _indices _values =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_sparse_coo_tensor_with_dims_and_tensors_out(
*$(at::Tensor* _out)
, $(int64_t _sparse_dim)
, $(int64_t _dense_dim)
, *$(std::vector<int64_t>* _size)
, *$(at::Tensor* _indices)
, *$(at::Tensor* _values)));
}|]
sparse_resize_out_ttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> Int64
-> IO (Ptr Tensor)
sparse_resize_out_ttlll _out _self _size _sparse_dim _dense_dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sparse_resize_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)
, $(int64_t _sparse_dim)
, $(int64_t _dense_dim)));
}|]
sparse_resize_tlll
:: Ptr Tensor
-> Ptr IntArray
-> Int64
-> Int64
-> IO (Ptr Tensor)
sparse_resize_tlll _self _size _sparse_dim _dense_dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sparse_resize(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)
, $(int64_t _sparse_dim)
, $(int64_t _dense_dim)));
}|]
sparse_resize_and_clear_out_ttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Int64
-> Int64
-> IO (Ptr Tensor)
sparse_resize_and_clear_out_ttlll _out _self _size _sparse_dim _dense_dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sparse_resize_and_clear_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)
, $(int64_t _sparse_dim)
, $(int64_t _dense_dim)));
}|]
sparse_resize_and_clear_tlll
:: Ptr Tensor
-> Ptr IntArray
-> Int64
-> Int64
-> IO (Ptr Tensor)
sparse_resize_and_clear_tlll _self _size _sparse_dim _dense_dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sparse_resize_and_clear(
*$(at::Tensor* _self)
, *$(std::vector<int64_t>* _size)
, $(int64_t _sparse_dim)
, $(int64_t _dense_dim)));
}|]
sparse_mask_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
sparse_mask_out_ttt _out _self _mask =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::sparse_mask_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mask)));
}|]
_to_dense_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> ScalarType
-> IO (Ptr Tensor)
_to_dense_out_tts _out _self _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_to_dense_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::ScalarType _dtype)));
}|]
_to_dense_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_to_dense_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_to_dense_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_coalesce_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_coalesce_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_coalesce_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_coalesced_out_ttb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
_coalesced_out_ttb _out _self _coalesced =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_coalesced_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(bool _coalesced)));
}|]
_coalesced_tb
:: Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
_coalesced_tb _self _coalesced =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_coalesced(
*$(at::Tensor* _self)
, $(bool _coalesced)));
}|]
copy_sparse_to_sparse_out_tttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
copy_sparse_to_sparse_out_tttb _out _self _src _non_blocking =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::copy_sparse_to_sparse_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(bool _non_blocking)));
}|]
copy_sparse_to_sparse_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
copy_sparse_to_sparse_out_ttt _out _self _src =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::copy_sparse_to_sparse_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _src)));
}|]
copy_sparse_to_sparse_ttb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
copy_sparse_to_sparse_ttb _self _src _non_blocking =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::copy_sparse_to_sparse(
*$(at::Tensor* _self)
, *$(at::Tensor* _src)
, $(bool _non_blocking)));
}|]
copy_sparse_to_sparse_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
copy_sparse_to_sparse_tt _self _src =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::copy_sparse_to_sparse(
*$(at::Tensor* _self)
, *$(at::Tensor* _src)));
}|]
to_mkldnn_out_tts
:: Ptr Tensor
-> Ptr Tensor
-> ScalarType
-> IO (Ptr Tensor)
to_mkldnn_out_tts _out _self _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::to_mkldnn_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::ScalarType _dtype)));
}|]
to_mkldnn_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
to_mkldnn_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::to_mkldnn_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
mkldnn_reorder_conv2d_weight_out_ttlllll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> Ptr IntArray
-> IO (Ptr Tensor)
mkldnn_reorder_conv2d_weight_out_ttlllll _out _self _padding _stride _dilation _groups _input_size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv2d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)
, *$(std::vector<int64_t>* _dilation)
, $(int64_t _groups)
, *$(std::vector<int64_t>* _input_size)));
}|]
mkldnn_reorder_conv2d_weight_out_ttllll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> IO (Ptr Tensor)
mkldnn_reorder_conv2d_weight_out_ttllll _out _self _padding _stride _dilation _groups =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv2d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)
, *$(std::vector<int64_t>* _dilation)
, $(int64_t _groups)));
}|]
mkldnn_reorder_conv2d_weight_out_ttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
mkldnn_reorder_conv2d_weight_out_ttlll _out _self _padding _stride _dilation =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv2d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)
, *$(std::vector<int64_t>* _dilation)));
}|]
mkldnn_reorder_conv2d_weight_out_ttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
mkldnn_reorder_conv2d_weight_out_ttll _out _self _padding _stride =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv2d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)));
}|]
mkldnn_reorder_conv2d_weight_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
mkldnn_reorder_conv2d_weight_out_ttl _out _self _padding =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv2d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)));
}|]
mkldnn_reorder_conv2d_weight_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
mkldnn_reorder_conv2d_weight_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv2d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
mkldnn_reorder_conv3d_weight_out_ttllll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> Int64
-> IO (Ptr Tensor)
mkldnn_reorder_conv3d_weight_out_ttllll _out _self _padding _stride _dilation _groups =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv3d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)
, *$(std::vector<int64_t>* _dilation)
, $(int64_t _groups)));
}|]
mkldnn_reorder_conv3d_weight_out_ttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
mkldnn_reorder_conv3d_weight_out_ttlll _out _self _padding _stride _dilation =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv3d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)
, *$(std::vector<int64_t>* _dilation)));
}|]
mkldnn_reorder_conv3d_weight_out_ttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
mkldnn_reorder_conv3d_weight_out_ttll _out _self _padding _stride =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv3d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)
, *$(std::vector<int64_t>* _stride)));
}|]
mkldnn_reorder_conv3d_weight_out_ttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr IntArray
-> IO (Ptr Tensor)
mkldnn_reorder_conv3d_weight_out_ttl _out _self _padding =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv3d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(std::vector<int64_t>* _padding)));
}|]
mkldnn_reorder_conv3d_weight_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
mkldnn_reorder_conv3d_weight_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::mkldnn_reorder_conv3d_weight_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
quantize_per_tensor_dynamic_out_ttsb
:: Ptr Tensor
-> Ptr Tensor
-> ScalarType
-> CBool
-> IO (Ptr Tensor)
quantize_per_tensor_dynamic_out_ttsb _out _self _dtype _reduce_range =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::quantize_per_tensor_dynamic_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(at::ScalarType _dtype)
, $(bool _reduce_range)));
}|]
quantize_per_tensor_out_ttdls
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> ScalarType
-> IO (Ptr Tensor)
quantize_per_tensor_out_ttdls _out _self _scale _zero_point _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::quantize_per_tensor_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _scale)
, $(int64_t _zero_point)
, $(at::ScalarType _dtype)));
}|]
quantize_per_tensor_out_tttts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> ScalarType
-> IO (Ptr Tensor)
quantize_per_tensor_out_tttts _out _self _scale _zero_point _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::quantize_per_tensor_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(at::ScalarType _dtype)));
}|]
quantize_per_tensor_out_lltts
:: Ptr TensorList
-> Ptr TensorList
-> Ptr Tensor
-> Ptr Tensor
-> ScalarType
-> IO (())
quantize_per_tensor_out_lltts _out _tensors _scales _zero_points _dtype =
[C.throwBlock| void { (at::quantize_per_tensor_out(
*$(std::vector<at::Tensor>* _out)
, *$(std::vector<at::Tensor>* _tensors)
, *$(at::Tensor* _scales)
, *$(at::Tensor* _zero_points)
, $(at::ScalarType _dtype)));
}|]
quantize_per_channel_out_ttttls
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> ScalarType
-> IO (Ptr Tensor)
quantize_per_channel_out_ttttls _out _self _scales _zero_points _axis _dtype =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::quantize_per_channel_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scales)
, *$(at::Tensor* _zero_points)
, $(int64_t _axis)
, $(at::ScalarType _dtype)));
}|]
dequantize_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
dequantize_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::dequantize_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
dequantize_out_ll
:: Ptr TensorList
-> Ptr TensorList
-> IO (())
dequantize_out_ll _out _tensors =
[C.throwBlock| void { (at::dequantize_out(
*$(std::vector<at::Tensor>* _out)
, *$(std::vector<at::Tensor>* _tensors)));
}|]
q_per_channel_scales_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
q_per_channel_scales_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::q_per_channel_scales_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
q_per_channel_zero_points_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
q_per_channel_zero_points_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::q_per_channel_zero_points_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
int_repr_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
int_repr_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::int_repr_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_make_per_tensor_quantized_tensor_out_ttdl
:: Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> IO (Ptr Tensor)
_make_per_tensor_quantized_tensor_out_ttdl _out _self _scale _zero_point =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_make_per_tensor_quantized_tensor_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(double _scale)
, $(int64_t _zero_point)));
}|]
_make_per_channel_quantized_tensor_out_ttttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
_make_per_channel_quantized_tensor_out_ttttl _out _self _scale _zero_point _axis =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_make_per_channel_quantized_tensor_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(int64_t _axis)));
}|]
fake_quantize_per_tensor_affine_cachemask_out_tttdlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> Int64
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
fake_quantize_per_tensor_affine_cachemask_out_tttdlll _out0 _out1 _self _scale _zero_point _quant_min _quant_max =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::fake_quantize_per_tensor_affine_cachemask_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, $(double _scale)
, $(int64_t _zero_point)
, $(int64_t _quant_min)
, $(int64_t _quant_max)));
}|]
_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_out_ttttttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_out_ttttttll _out0 _out1 _self _scale _zero_point _fake_quant_enabled _quant_min _quant_max =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, *$(at::Tensor* _fake_quant_enabled)
, $(int64_t _quant_min)
, $(int64_t _quant_max)));
}|]
_fake_quantize_learnable_per_tensor_affine_out_ttttlld
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> CDouble
-> IO (Ptr Tensor)
_fake_quantize_learnable_per_tensor_affine_out_ttttlld _out _self _scale _zero_point _quant_min _quant_max _grad_factor =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_fake_quantize_learnable_per_tensor_affine_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(int64_t _quant_min)
, $(int64_t _quant_max)
, $(double _grad_factor)));
}|]
_fake_quantize_learnable_per_tensor_affine_out_ttttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
_fake_quantize_learnable_per_tensor_affine_out_ttttll _out _self _scale _zero_point _quant_min _quant_max =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_fake_quantize_learnable_per_tensor_affine_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(int64_t _quant_min)
, $(int64_t _quant_max)));
}|]
fake_quantize_per_channel_affine_cachemask_out_tttttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
fake_quantize_per_channel_affine_cachemask_out_tttttlll _out0 _out1 _self _scale _zero_point _axis _quant_min _quant_max =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::fake_quantize_per_channel_affine_cachemask_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(int64_t _axis)
, $(int64_t _quant_min)
, $(int64_t _quant_max)));
}|]
_fake_quantize_learnable_per_channel_affine_out_ttttllld
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Int64
-> CDouble
-> IO (Ptr Tensor)
_fake_quantize_learnable_per_channel_affine_out_ttttllld _out _self _scale _zero_point _axis _quant_min _quant_max _grad_factor =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_fake_quantize_learnable_per_channel_affine_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(int64_t _axis)
, $(int64_t _quant_min)
, $(int64_t _quant_max)
, $(double _grad_factor)));
}|]
_fake_quantize_learnable_per_channel_affine_out_ttttlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Int64
-> IO (Ptr Tensor)
_fake_quantize_learnable_per_channel_affine_out_ttttlll _out _self _scale _zero_point _axis _quant_min _quant_max =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_fake_quantize_learnable_per_channel_affine_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(int64_t _axis)
, $(int64_t _quant_min)
, $(int64_t _quant_max)));
}|]
_fused_moving_avg_obs_fq_helper_out_tttttttttdlllbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> Int64
-> Int64
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_fused_moving_avg_obs_fq_helper_out_tttttttttdlllbb _out0 _out1 _self _observer_on _fake_quant_on _running_min _running_max _scale _zero_point _averaging_const _quant_min _quant_max _ch_axis _per_row_fake_quant _symmetric_quant =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_fused_moving_avg_obs_fq_helper_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(at::Tensor* _observer_on)
, *$(at::Tensor* _fake_quant_on)
, *$(at::Tensor* _running_min)
, *$(at::Tensor* _running_max)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(double _averaging_const)
, $(int64_t _quant_min)
, $(int64_t _quant_max)
, $(int64_t _ch_axis)
, $(bool _per_row_fake_quant)
, $(bool _symmetric_quant)));
}|]
_fused_moving_avg_obs_fq_helper_out_tttttttttdlllb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> Int64
-> Int64
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_fused_moving_avg_obs_fq_helper_out_tttttttttdlllb _out0 _out1 _self _observer_on _fake_quant_on _running_min _running_max _scale _zero_point _averaging_const _quant_min _quant_max _ch_axis _per_row_fake_quant =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_fused_moving_avg_obs_fq_helper_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(at::Tensor* _observer_on)
, *$(at::Tensor* _fake_quant_on)
, *$(at::Tensor* _running_min)
, *$(at::Tensor* _running_max)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(double _averaging_const)
, $(int64_t _quant_min)
, $(int64_t _quant_max)
, $(int64_t _ch_axis)
, $(bool _per_row_fake_quant)));
}|]
_fused_moving_avg_obs_fq_helper_out_tttttttttdlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> Int64
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_fused_moving_avg_obs_fq_helper_out_tttttttttdlll _out0 _out1 _self _observer_on _fake_quant_on _running_min _running_max _scale _zero_point _averaging_const _quant_min _quant_max _ch_axis =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_fused_moving_avg_obs_fq_helper_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _self)
, *$(at::Tensor* _observer_on)
, *$(at::Tensor* _fake_quant_on)
, *$(at::Tensor* _running_min)
, *$(at::Tensor* _running_max)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(double _averaging_const)
, $(int64_t _quant_min)
, $(int64_t _quant_max)
, $(int64_t _ch_axis)));
}|]
_fused_moving_avg_obs_fq_helper_functional_tttttttdlllbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> Int64
-> Int64
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor,Tensor,Tensor)))
_fused_moving_avg_obs_fq_helper_functional_tttttttdlllbb _self _observer_on _fake_quant_on _running_min _running_max _scale _zero_point _averaging_const _quant_min _quant_max _ch_axis _per_row_fake_quant _symmetric_quant =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_fused_moving_avg_obs_fq_helper_functional(
*$(at::Tensor* _self)
, *$(at::Tensor* _observer_on)
, *$(at::Tensor* _fake_quant_on)
, *$(at::Tensor* _running_min)
, *$(at::Tensor* _running_max)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(double _averaging_const)
, $(int64_t _quant_min)
, $(int64_t _quant_max)
, $(int64_t _ch_axis)
, $(bool _per_row_fake_quant)
, $(bool _symmetric_quant)));
}|]
_fused_moving_avg_obs_fq_helper_functional_tttttttdlllb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> Int64
-> Int64
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor,Tensor,Tensor)))
_fused_moving_avg_obs_fq_helper_functional_tttttttdlllb _self _observer_on _fake_quant_on _running_min _running_max _scale _zero_point _averaging_const _quant_min _quant_max _ch_axis _per_row_fake_quant =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_fused_moving_avg_obs_fq_helper_functional(
*$(at::Tensor* _self)
, *$(at::Tensor* _observer_on)
, *$(at::Tensor* _fake_quant_on)
, *$(at::Tensor* _running_min)
, *$(at::Tensor* _running_max)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(double _averaging_const)
, $(int64_t _quant_min)
, $(int64_t _quant_max)
, $(int64_t _ch_axis)
, $(bool _per_row_fake_quant)));
}|]
_fused_moving_avg_obs_fq_helper_functional_tttttttdlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CDouble
-> Int64
-> Int64
-> Int64
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor,Tensor,Tensor)))
_fused_moving_avg_obs_fq_helper_functional_tttttttdlll _self _observer_on _fake_quant_on _running_min _running_max _scale _zero_point _averaging_const _quant_min _quant_max _ch_axis =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_fused_moving_avg_obs_fq_helper_functional(
*$(at::Tensor* _self)
, *$(at::Tensor* _observer_on)
, *$(at::Tensor* _fake_quant_on)
, *$(at::Tensor* _running_min)
, *$(at::Tensor* _running_max)
, *$(at::Tensor* _scale)
, *$(at::Tensor* _zero_point)
, $(double _averaging_const)
, $(int64_t _quant_min)
, $(int64_t _quant_max)
, $(int64_t _ch_axis)));
}|]
_to_copy_out_ttbM
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> MemoryFormat
-> IO (Ptr Tensor)
_to_copy_out_ttbM _out _self _non_blocking _memory_format =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_to_copy_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(bool _non_blocking)
, $(at::MemoryFormat _memory_format)));
}|]
_to_copy_out_ttb
:: Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
_to_copy_out_ttb _out _self _non_blocking =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_to_copy_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(bool _non_blocking)));
}|]
_to_copy_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_to_copy_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_to_copy_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
_lstm_mps_out_tttttttllbldbbb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr TensorList
-> Ptr TensorList
-> CBool
-> Int64
-> CDouble
-> CBool
-> CBool
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor,Tensor,Tensor)))
_lstm_mps_out_tttttttllbldbbb _out0 _out1 _out2 _out3 _out4 _out5 _input _hx _params _has_biases _num_layers _dropout _train _bidirectional _batch_first =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_lstm_mps_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _out3)
, *$(at::Tensor* _out4)
, *$(at::Tensor* _out5)
, *$(at::Tensor* _input)
, *$(std::vector<at::Tensor>* _hx)
, *$(std::vector<at::Tensor>* _params)
, $(bool _has_biases)
, $(int64_t _num_layers)
, $(double _dropout)
, $(bool _train)
, $(bool _bidirectional)
, $(bool _batch_first)));
}|]
lstm_mps_backward_out_tlltttttttllbldbbb
:: Ptr Tensor
-> Ptr TensorList
-> Ptr TensorList
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr TensorList
-> Ptr TensorList
-> CBool
-> Int64
-> CDouble
-> CBool
-> CBool
-> CBool
-> IO (())
lstm_mps_backward_out_tlltttttttllbldbbb _out0 _out1 _out2 _grad_y _grad_hy _grad_cy _z_state _cell_state_fwd _input _layersOutputs _hx _params _has_biases _num_layers _dropout _train _bidirectional _batch_first =
[C.throwBlock| void { (at::lstm_mps_backward_out(
*$(at::Tensor* _out0)
, *$(std::vector<at::Tensor>* _out1)
, *$(std::vector<at::Tensor>* _out2)
, *$(at::Tensor* _grad_y)
, *$(at::Tensor* _grad_hy)
, *$(at::Tensor* _grad_cy)
, *$(at::Tensor* _z_state)
, *$(at::Tensor* _cell_state_fwd)
, *$(at::Tensor* _input)
, *$(at::Tensor* _layersOutputs)
, *$(std::vector<at::Tensor>* _hx)
, *$(std::vector<at::Tensor>* _params)
, $(bool _has_biases)
, $(int64_t _num_layers)
, $(double _dropout)
, $(bool _train)
, $(bool _bidirectional)
, $(bool _batch_first)));
}|]
_thnn_fused_lstm_cell_out_tttttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_thnn_fused_lstm_cell_out_tttttttt _out0 _out1 _out2 _input_gates _hidden_gates _cx _input_bias _hidden_bias =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_thnn_fused_lstm_cell_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _input_gates)
, *$(at::Tensor* _hidden_gates)
, *$(at::Tensor* _cx)
, *$(at::Tensor* _input_bias)
, *$(at::Tensor* _hidden_bias)));
}|]
_thnn_fused_lstm_cell_out_ttttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_thnn_fused_lstm_cell_out_ttttttt _out0 _out1 _out2 _input_gates _hidden_gates _cx _input_bias =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_thnn_fused_lstm_cell_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _input_gates)
, *$(at::Tensor* _hidden_gates)
, *$(at::Tensor* _cx)
, *$(at::Tensor* _input_bias)));
}|]
_thnn_fused_lstm_cell_out_tttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_thnn_fused_lstm_cell_out_tttttt _out0 _out1 _out2 _input_gates _hidden_gates _cx =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_thnn_fused_lstm_cell_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _input_gates)
, *$(at::Tensor* _hidden_gates)
, *$(at::Tensor* _cx)));
}|]
_thnn_fused_lstm_cell_backward_impl_out_ttttttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor)))
_thnn_fused_lstm_cell_backward_impl_out_ttttttttb _out0 _out1 _out2 _grad_hy _grad_cy _cx _cy _workspace _has_bias =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor>(at::_thnn_fused_lstm_cell_backward_impl_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _grad_hy)
, *$(at::Tensor* _grad_cy)
, *$(at::Tensor* _cx)
, *$(at::Tensor* _cy)
, *$(at::Tensor* _workspace)
, $(bool _has_bias)));
}|]
_thnn_fused_gru_cell_out_ttttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_thnn_fused_gru_cell_out_ttttttt _out0 _out1 _input_gates _hidden_gates _hx _input_bias _hidden_bias =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_thnn_fused_gru_cell_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _input_gates)
, *$(at::Tensor* _hidden_gates)
, *$(at::Tensor* _hx)
, *$(at::Tensor* _input_bias)
, *$(at::Tensor* _hidden_bias)));
}|]
_thnn_fused_gru_cell_out_tttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_thnn_fused_gru_cell_out_tttttt _out0 _out1 _input_gates _hidden_gates _hx _input_bias =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_thnn_fused_gru_cell_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _input_gates)
, *$(at::Tensor* _hidden_gates)
, *$(at::Tensor* _hx)
, *$(at::Tensor* _input_bias)));
}|]
_thnn_fused_gru_cell_out_ttttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_thnn_fused_gru_cell_out_ttttt _out0 _out1 _input_gates _hidden_gates _hx =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_thnn_fused_gru_cell_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _input_gates)
, *$(at::Tensor* _hidden_gates)
, *$(at::Tensor* _hx)));
}|]
_thnn_fused_gru_cell_backward_out_tttttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor,Tensor,Tensor,Tensor)))
_thnn_fused_gru_cell_backward_out_tttttttb _out0 _out1 _out2 _out3 _out4 _grad_hy _workspace _has_bias =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor>(at::_thnn_fused_gru_cell_backward_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _out2)
, *$(at::Tensor* _out3)
, *$(at::Tensor* _out4)
, *$(at::Tensor* _grad_hy)
, *$(at::Tensor* _workspace)
, $(bool _has_bias)));
}|]
_pack_padded_sequence_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr (StdTuple '(Tensor,Tensor)))
_pack_padded_sequence_out_ttttb _out0 _out1 _input _lengths _batch_first =
[C.throwBlock| std::tuple<at::Tensor,at::Tensor>* { return new std::tuple<at::Tensor,at::Tensor>(at::_pack_padded_sequence_out(
*$(at::Tensor* _out0)
, *$(at::Tensor* _out1)
, *$(at::Tensor* _input)
, *$(at::Tensor* _lengths)
, $(bool _batch_first)));
}|]
set_out_ttS
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Storage
-> IO (Ptr Tensor)
set_out_ttS _out _self _source =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Storage* _source)));
}|]
set_tS
:: Ptr Tensor
-> Ptr Storage
-> IO (Ptr Tensor)
set_tS _self _source =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set(
*$(at::Tensor* _self)
, *$(at::Storage* _source)));
}|]
set_out_ttSlll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Storage
-> Int64
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
set_out_ttSlll _out _self _source _storage_offset _size _stride =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Storage* _source)
, $(int64_t _storage_offset)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<int64_t>* _stride)));
}|]
set_out_ttSll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Storage
-> Int64
-> Ptr IntArray
-> IO (Ptr Tensor)
set_out_ttSll _out _self _source _storage_offset _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Storage* _source)
, $(int64_t _storage_offset)
, *$(std::vector<int64_t>* _size)));
}|]
set_tSlll
:: Ptr Tensor
-> Ptr Storage
-> Int64
-> Ptr IntArray
-> Ptr IntArray
-> IO (Ptr Tensor)
set_tSlll _self _source _storage_offset _size _stride =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set(
*$(at::Tensor* _self)
, *$(at::Storage* _source)
, $(int64_t _storage_offset)
, *$(std::vector<int64_t>* _size)
, *$(std::vector<int64_t>* _stride)));
}|]
set_tSll
:: Ptr Tensor
-> Ptr Storage
-> Int64
-> Ptr IntArray
-> IO (Ptr Tensor)
set_tSll _self _source _storage_offset _size =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set(
*$(at::Tensor* _self)
, *$(at::Storage* _source)
, $(int64_t _storage_offset)
, *$(std::vector<int64_t>* _size)));
}|]
set_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
set_out_ttt _out _self _source =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _source)));
}|]
set_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
set_tt _self _source =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set(
*$(at::Tensor* _self)
, *$(at::Tensor* _source)));
}|]
set_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
set_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
set_t
:: Ptr Tensor
-> IO (Ptr Tensor)
set_t _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::set(
*$(at::Tensor* _self)));
}|]
lift_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
lift_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::lift_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
lift_fresh_copy_out_tt
:: Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
lift_fresh_copy_out_tt _out _self =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::lift_fresh_copy_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)));
}|]
masked_fill_out_ttts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
masked_fill_out_ttts _out _self _mask _value =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::masked_fill_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mask)
, *$(at::Scalar* _value)));
}|]
masked_fill_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
masked_fill_out_tttt _out _self _mask _value =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::masked_fill_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mask)
, *$(at::Tensor* _value)));
}|]
masked_scatter_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
masked_scatter_out_tttt _out _self _mask _source =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::masked_scatter_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mask)
, *$(at::Tensor* _source)));
}|]
_masked_softmax_out_tttll
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
_masked_softmax_out_tttll _out _self _mask _dim _mask_type =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_masked_softmax_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mask)
, $(int64_t _dim)
, $(int64_t _mask_type)));
}|]
_masked_softmax_out_tttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
_masked_softmax_out_tttl _out _self _mask _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_masked_softmax_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mask)
, $(int64_t _dim)));
}|]
_masked_softmax_out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_masked_softmax_out_ttt _out _self _mask =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_masked_softmax_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _mask)));
}|]
_masked_softmax_backward_out_ttttl
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Int64
-> IO (Ptr Tensor)
_masked_softmax_backward_out_ttttl _out _grad_output _output _mask _dim =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_masked_softmax_backward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad_output)
, *$(at::Tensor* _output)
, *$(at::Tensor* _mask)
, $(int64_t _dim)));
}|]
_masked_softmax_backward_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
_masked_softmax_backward_out_tttt _out _grad_output _output _mask =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::_masked_softmax_backward_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _grad_output)
, *$(at::Tensor* _output)
, *$(at::Tensor* _mask)));
}|]
put_out_ttttb
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> CBool
-> IO (Ptr Tensor)
put_out_ttttb _out _self _index _source _accumulate =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::put_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _index)
, *$(at::Tensor* _source)
, $(bool _accumulate)));
}|]
put_out_tttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
put_out_tttt _out _self _index _source =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::put_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _index)
, *$(at::Tensor* _source)));
}|]
index_fill_out_ttlts
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
index_fill_out_ttlts _out _self _dim _index _value =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::index_fill_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, *$(at::Tensor* _index)
, *$(at::Scalar* _value)));
}|]
index_fill_out_ttltt
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
index_fill_out_ttltt _out _self _dim _index _value =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::index_fill_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _dim)
, *$(at::Tensor* _index)
, *$(at::Tensor* _value)));
}|]
bitwise_and_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
bitwise_and_out_tst _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::bitwise_and_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _self)
, *$(at::Tensor* _other)));
}|]
bitwise_or_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
bitwise_or_out_tst _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::bitwise_or_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _self)
, *$(at::Tensor* _other)));
}|]
bitwise_xor_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
bitwise_xor_out_tst _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::bitwise_xor_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _self)
, *$(at::Tensor* _other)));
}|]
__lshift___out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
__lshift___out_tts _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::__lshift___out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _other)));
}|]
__lshift___out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
__lshift___out_ttt _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::__lshift___out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _other)));
}|]
bitwise_left_shift_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
bitwise_left_shift_out_tst _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::bitwise_left_shift_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _self)
, *$(at::Tensor* _other)));
}|]
__rshift___out_tts
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Scalar
-> IO (Ptr Tensor)
__rshift___out_tts _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::__rshift___out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Scalar* _other)));
}|]
__rshift___out_ttt
:: Ptr Tensor
-> Ptr Tensor
-> Ptr Tensor
-> IO (Ptr Tensor)
__rshift___out_ttt _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::__rshift___out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, *$(at::Tensor* _other)));
}|]
bitwise_right_shift_out_tst
:: Ptr Tensor
-> Ptr Scalar
-> Ptr Tensor
-> IO (Ptr Tensor)
bitwise_right_shift_out_tst _out _self _other =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::bitwise_right_shift_out(
*$(at::Tensor* _out)
, *$(at::Scalar* _self)
, *$(at::Tensor* _other)));
}|]
random_out_ttllG
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> Ptr Generator
-> IO (Ptr Tensor)
random_out_ttllG _out _self _from _to _generator =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::random_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _from)
, $(int64_t _to)
, *$(at::Generator* _generator)));
}|]
random_out_ttll
:: Ptr Tensor
-> Ptr Tensor
-> Int64
-> Int64
-> IO (Ptr Tensor)
random_out_ttll _out _self _from _to =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::random_out(
*$(at::Tensor* _out)
, *$(at::Tensor* _self)
, $(int64_t _from)
, $(int64_t _to)));
}|]
random_tllG
:: Ptr Tensor
-> Int64
-> Int64
-> Ptr Generator
-> IO (Ptr Tensor)
random_tllG _self _from _to _generator =
[C.throwBlock| at::Tensor* { return new at::Tensor(at::random(
*$(at::Tensor* _self)
, $(int64_t _from)
, $(int64_t _to)
, *$(at::Generator* _generator)));
}|]