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let select_backward ~ grad_output ~ input_sizes ~ dim ~ index = let out__ = CArray . make t 1 in stubs_select_backward ( CArray . start out__ ) grad_output ( List . map Int64 . of_int input_sizes |> CArray . of_list int64_t |> CArray . start ) ( List . length input_sizes ) ( Int64 . of_int dim ) ( Int64 . of_int index ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let selu self = let out__ = CArray . make t 1 in stubs_selu ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let selu_ self = let out__ = CArray . make t 1 in stubs_selu_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let set_ self = let out__ = CArray . make t 1 in stubs_set_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let set_requires_grad self ~ r = let out__ = CArray . make t 1 in stubs_set_requires_grad ( CArray . start out__ ) self ( if r then 1 else 0 ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let set_source_tensor_ self ~ source = let out__ = CArray . make t 1 in stubs_set_source_tensor_ ( CArray . start out__ ) self source ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sgn self = let out__ = CArray . make t 1 in stubs_sgn ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sgn_ self = let out__ = CArray . make t 1 in stubs_sgn_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sgn_out ~ out self = let out__ = CArray . make t 1 in stubs_sgn_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sigmoid self = let out__ = CArray . make t 1 in stubs_sigmoid ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sigmoid_ self = let out__ = CArray . make t 1 in stubs_sigmoid_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sigmoid_backward ~ grad_output ~ output = let out__ = CArray . make t 1 in stubs_sigmoid_backward ( CArray . start out__ ) grad_output output ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sigmoid_backward_grad_input ~ grad_input ~ grad_output ~ output = let out__ = CArray . make t 1 in stubs_sigmoid_backward_grad_input ( CArray . start out__ ) grad_input grad_output output ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sigmoid_out ~ out self = let out__ = CArray . make t 1 in stubs_sigmoid_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sign self = let out__ = CArray . make t 1 in stubs_sign ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sign_ self = let out__ = CArray . make t 1 in stubs_sign_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sign_out ~ out self = let out__ = CArray . make t 1 in stubs_sign_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let signbit self = let out__ = CArray . make t 1 in stubs_signbit ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let signbit_out ~ out self = let out__ = CArray . make t 1 in stubs_signbit_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let silu self = let out__ = CArray . make t 1 in stubs_silu ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let silu_ self = let out__ = CArray . make t 1 in stubs_silu_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let silu_backward ~ grad_output self = let out__ = CArray . make t 1 in stubs_silu_backward ( CArray . start out__ ) grad_output self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let silu_backward_grad_input ~ grad_input ~ grad_output self = let out__ = CArray . make t 1 in stubs_silu_backward_grad_input ( CArray . start out__ ) grad_input grad_output self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let silu_out ~ out self = let out__ = CArray . make t 1 in stubs_silu_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sin self = let out__ = CArray . make t 1 in stubs_sin ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sin_ self = let out__ = CArray . make t 1 in stubs_sin_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sin_out ~ out self = let out__ = CArray . make t 1 in stubs_sin_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sinc self = let out__ = CArray . make t 1 in stubs_sinc ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sinc_ self = let out__ = CArray . make t 1 in stubs_sinc_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sinc_out ~ out self = let out__ = CArray . make t 1 in stubs_sinc_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sinh self = let out__ = CArray . make t 1 in stubs_sinh ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sinh_ self = let out__ = CArray . make t 1 in stubs_sinh_ ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sinh_out ~ out self = let out__ = CArray . make t 1 in stubs_sinh_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slice self ~ dim ~ start ~ end_ ~ step = let out__ = CArray . make t 1 in stubs_slice ( CArray . start out__ ) self ( Int64 . of_int dim ) ( Int64 . of_int start ) ( Int64 . of_int end_ ) ( Int64 . of_int step ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slice_backward ~ grad_output ~ input_sizes ~ dim ~ start ~ end_ ~ step = let out__ = CArray . make t 1 in stubs_slice_backward ( CArray . start out__ ) grad_output ( List . map Int64 . of_int input_sizes |> CArray . of_list int64_t |> CArray . start ) ( List . length input_sizes ) ( Int64 . of_int dim ) ( Int64 . of_int start ) ( Int64 . of_int end_ ) ( Int64 . of_int step ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slogdet self = let out__ = CArray . make t 2 in stubs_slogdet ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; let t1 = CArray . get out__ 1 in Gc . finalise C . Tensor . free t1 ; t0 , t1 |
let slow_conv3d self ~ weight ~ kernel_size ~ bias ~ stride ~ padding = let out__ = CArray . make t 1 in stubs_slow_conv3d ( CArray . start out__ ) self weight ( List . map Int64 . of_int kernel_size |> CArray . of_list int64_t |> CArray . start ) ( List . length kernel_size ) ( match bias with | Some v -> v | None -> null ) ( List . map Int64 . of_int stride |> CArray . of_list int64_t |> CArray . start ) ( List . length stride ) ( List . map Int64 . of_int padding |> CArray . of_list int64_t |> CArray . start ) ( List . length padding ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slow_conv3d_out ~ out self ~ weight ~ kernel_size ~ bias ~ stride ~ padding = let out__ = CArray . make t 1 in stubs_slow_conv3d_out ( CArray . start out__ ) out self weight ( List . map Int64 . of_int kernel_size |> CArray . of_list int64_t |> CArray . start ) ( List . length kernel_size ) ( match bias with | Some v -> v | None -> null ) ( List . map Int64 . of_int stride |> CArray . of_list int64_t |> CArray . start ) ( List . length stride ) ( List . map Int64 . of_int padding |> CArray . of_list int64_t |> CArray . start ) ( List . length padding ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slow_conv_dilated2d self ~ weight ~ kernel_size ~ bias ~ stride ~ padding ~ dilation = let out__ = CArray . make t 1 in stubs_slow_conv_dilated2d ( CArray . start out__ ) self weight ( List . map Int64 . of_int kernel_size |> CArray . of_list int64_t |> CArray . start ) ( List . length kernel_size ) ( match bias with | Some v -> v | None -> null ) ( List . map Int64 . of_int stride |> CArray . of_list int64_t |> CArray . start ) ( List . length stride ) ( List . map Int64 . of_int padding |> CArray . of_list int64_t |> CArray . start ) ( List . length padding ) ( List . map Int64 . of_int dilation |> CArray . of_list int64_t |> CArray . start ) ( List . length dilation ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slow_conv_dilated3d self ~ weight ~ kernel_size ~ bias ~ stride ~ padding ~ dilation = let out__ = CArray . make t 1 in stubs_slow_conv_dilated3d ( CArray . start out__ ) self weight ( List . map Int64 . of_int kernel_size |> CArray . of_list int64_t |> CArray . start ) ( List . length kernel_size ) ( match bias with | Some v -> v | None -> null ) ( List . map Int64 . of_int stride |> CArray . of_list int64_t |> CArray . start ) ( List . length stride ) ( List . map Int64 . of_int padding |> CArray . of_list int64_t |> CArray . start ) ( List . length padding ) ( List . map Int64 . of_int dilation |> CArray . of_list int64_t |> CArray . start ) ( List . length dilation ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slow_conv_transpose2d self ~ weight ~ kernel_size ~ bias ~ stride ~ padding ~ output_padding ~ dilation = let out__ = CArray . make t 1 in stubs_slow_conv_transpose2d ( CArray . start out__ ) self weight ( List . map Int64 . of_int kernel_size |> CArray . of_list int64_t |> CArray . start ) ( List . length kernel_size ) ( match bias with | Some v -> v | None -> null ) ( List . map Int64 . of_int stride |> CArray . of_list int64_t |> CArray . start ) ( List . length stride ) ( List . map Int64 . of_int padding |> CArray . of_list int64_t |> CArray . start ) ( List . length padding ) ( List . map Int64 . of_int output_padding |> CArray . of_list int64_t |> CArray . start ) ( List . length output_padding ) ( List . map Int64 . of_int dilation |> CArray . of_list int64_t |> CArray . start ) ( List . length dilation ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slow_conv_transpose2d_out ~ out self ~ weight ~ kernel_size ~ bias ~ stride ~ padding ~ output_padding ~ dilation = let out__ = CArray . make t 1 in stubs_slow_conv_transpose2d_out ( CArray . start out__ ) out self weight ( List . map Int64 . of_int kernel_size |> CArray . of_list int64_t |> CArray . start ) ( List . length kernel_size ) ( match bias with | Some v -> v | None -> null ) ( List . map Int64 . of_int stride |> CArray . of_list int64_t |> CArray . start ) ( List . length stride ) ( List . map Int64 . of_int padding |> CArray . of_list int64_t |> CArray . start ) ( List . length padding ) ( List . map Int64 . of_int output_padding |> CArray . of_list int64_t |> CArray . start ) ( List . length output_padding ) ( List . map Int64 . of_int dilation |> CArray . of_list int64_t |> CArray . start ) ( List . length dilation ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slow_conv_transpose3d self ~ weight ~ kernel_size ~ bias ~ stride ~ padding ~ output_padding ~ dilation = let out__ = CArray . make t 1 in stubs_slow_conv_transpose3d ( CArray . start out__ ) self weight ( List . map Int64 . of_int kernel_size |> CArray . of_list int64_t |> CArray . start ) ( List . length kernel_size ) ( match bias with | Some v -> v | None -> null ) ( List . map Int64 . of_int stride |> CArray . of_list int64_t |> CArray . start ) ( List . length stride ) ( List . map Int64 . of_int padding |> CArray . of_list int64_t |> CArray . start ) ( List . length padding ) ( List . map Int64 . of_int output_padding |> CArray . of_list int64_t |> CArray . start ) ( List . length output_padding ) ( List . map Int64 . of_int dilation |> CArray . of_list int64_t |> CArray . start ) ( List . length dilation ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let slow_conv_transpose3d_out ~ out self ~ weight ~ kernel_size ~ bias ~ stride ~ padding ~ output_padding ~ dilation = let out__ = CArray . make t 1 in stubs_slow_conv_transpose3d_out ( CArray . start out__ ) out self weight ( List . map Int64 . of_int kernel_size |> CArray . of_list int64_t |> CArray . start ) ( List . length kernel_size ) ( match bias with | Some v -> v | None -> null ) ( List . map Int64 . of_int stride |> CArray . of_list int64_t |> CArray . start ) ( List . length stride ) ( List . map Int64 . of_int padding |> CArray . of_list int64_t |> CArray . start ) ( List . length padding ) ( List . map Int64 . of_int output_padding |> CArray . of_list int64_t |> CArray . start ) ( List . length output_padding ) ( List . map Int64 . of_int dilation |> CArray . of_list int64_t |> CArray . start ) ( List . length dilation ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let smm self ~ mat2 = let out__ = CArray . make t 1 in stubs_smm ( CArray . start out__ ) self mat2 ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let smooth_l1_loss self ~ target ~ reduction ~ beta = let out__ = CArray . make t 1 in stubs_smooth_l1_loss ( CArray . start out__ ) self target ( Reduction . to_int reduction |> Int64 . of_int ) beta ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let smooth_l1_loss_backward ~ grad_output self ~ target ~ reduction ~ beta = let out__ = CArray . make t 1 in stubs_smooth_l1_loss_backward ( CArray . start out__ ) grad_output self target ( Reduction . to_int reduction |> Int64 . of_int ) beta ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let smooth_l1_loss_backward_grad_input ~ grad_input ~ grad_output self ~ target ~ reduction ~ beta = let out__ = CArray . make t 1 in stubs_smooth_l1_loss_backward_grad_input ( CArray . start out__ ) grad_input grad_output self target ( Reduction . to_int reduction |> Int64 . of_int ) beta ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let smooth_l1_loss_out ~ out self ~ target ~ reduction ~ beta = let out__ = CArray . make t 1 in stubs_smooth_l1_loss_out ( CArray . start out__ ) out self target ( Reduction . to_int reduction |> Int64 . of_int ) beta ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let soft_margin_loss self ~ target ~ reduction = let out__ = CArray . make t 1 in stubs_soft_margin_loss ( CArray . start out__ ) self target ( Reduction . to_int reduction |> Int64 . of_int ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let soft_margin_loss_backward ~ grad_output self ~ target ~ reduction = let out__ = CArray . make t 1 in stubs_soft_margin_loss_backward ( CArray . start out__ ) grad_output self target ( Reduction . to_int reduction |> Int64 . of_int ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let soft_margin_loss_backward_grad_input ~ grad_input ~ grad_output self ~ target ~ reduction = let out__ = CArray . make t 1 in stubs_soft_margin_loss_backward_grad_input ( CArray . start out__ ) grad_input grad_output self target ( Reduction . to_int reduction |> Int64 . of_int ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let soft_margin_loss_out ~ out self ~ target ~ reduction = let out__ = CArray . make t 1 in stubs_soft_margin_loss_out ( CArray . start out__ ) out self target ( Reduction . to_int reduction |> Int64 . of_int ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softmax self ~ dim ~ dtype = let out__ = CArray . make t 1 in stubs_softmax ( CArray . start out__ ) self ( Int64 . of_int dim ) ( Kind . packed_to_int dtype ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softplus self = let out__ = CArray . make t 1 in stubs_softplus ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softplus_backward ~ grad_output self ~ beta ~ threshold ~ output = let out__ = CArray . make t 1 in stubs_softplus_backward ( CArray . start out__ ) grad_output self beta threshold output ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softplus_backward_grad_input ~ grad_input ~ grad_output self ~ beta ~ threshold ~ output = let out__ = CArray . make t 1 in stubs_softplus_backward_grad_input ( CArray . start out__ ) grad_input grad_output self beta threshold output ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softplus_out ~ out self = let out__ = CArray . make t 1 in stubs_softplus_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softshrink self = let out__ = CArray . make t 1 in stubs_softshrink ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softshrink_backward ~ grad_output self ~ lambd = let out__ = CArray . make t 1 in stubs_softshrink_backward ( CArray . start out__ ) grad_output self lambd ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softshrink_backward_grad_input ~ grad_input ~ grad_output self ~ lambd = let out__ = CArray . make t 1 in stubs_softshrink_backward_grad_input ( CArray . start out__ ) grad_input grad_output self lambd ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let softshrink_out ~ out self = let out__ = CArray . make t 1 in stubs_softshrink_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let solve self ~ a = let out__ = CArray . make t 2 in stubs_solve ( CArray . start out__ ) self a ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; let t1 = CArray . get out__ 1 in Gc . finalise C . Tensor . free t1 ; t0 , t1 |
let solve_solution ~ solution ~ lu self ~ a = let out__ = CArray . make t 2 in stubs_solve_solution ( CArray . start out__ ) solution lu self a ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; let t1 = CArray . get out__ 1 in Gc . finalise C . Tensor . free t1 ; t0 , t1 |
let sort self ~ dim ~ descending = let out__ = CArray . make t 2 in stubs_sort ( CArray . start out__ ) self ( Int64 . of_int dim ) ( if descending then 1 else 0 ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; let t1 = CArray . get out__ 1 in Gc . finalise C . Tensor . free t1 ; t0 , t1 |
let sort_stable self ~ stable ~ dim ~ descending = let out__ = CArray . make t 2 in stubs_sort_stable ( CArray . start out__ ) self ( if stable then 1 else 0 ) ( Int64 . of_int dim ) ( if descending then 1 else 0 ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; let t1 = CArray . get out__ 1 in Gc . finalise C . Tensor . free t1 ; t0 , t1 |
let sort_values ~ values ~ indices self ~ dim ~ descending = let out__ = CArray . make t 2 in stubs_sort_values ( CArray . start out__ ) values indices self ( Int64 . of_int dim ) ( if descending then 1 else 0 ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; let t1 = CArray . get out__ 1 in Gc . finalise C . Tensor . free t1 ; t0 , t1 |
let sort_values_stable ~ values ~ indices self ~ stable ~ dim ~ descending = let out__ = CArray . make t 2 in stubs_sort_values_stable ( CArray . start out__ ) values indices self ( if stable then 1 else 0 ) ( Int64 . of_int dim ) ( if descending then 1 else 0 ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; let t1 = CArray . get out__ 1 in Gc . finalise C . Tensor . free t1 ; t0 , t1 |
let sparse_coo_tensor ~ size ~ options = let out__ = CArray . make t 1 in stubs_sparse_coo_tensor ( CArray . start out__ ) ( List . map Int64 . of_int size |> CArray . of_list int64_t |> CArray . start ) ( List . length size ) ( Kind . packed_to_int ( fst options ) ) ( Device . to_int ( snd options ) ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sparse_coo_tensor_indices ~ indices ~ values ~ options = let out__ = CArray . make t 1 in stubs_sparse_coo_tensor_indices ( CArray . start out__ ) indices values ( Kind . packed_to_int ( fst options ) ) ( Device . to_int ( snd options ) ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sparse_coo_tensor_indices_size ~ indices ~ values ~ size ~ options = let out__ = CArray . make t 1 in stubs_sparse_coo_tensor_indices_size ( CArray . start out__ ) indices values ( List . map Int64 . of_int size |> CArray . of_list int64_t |> CArray . start ) ( List . length size ) ( Kind . packed_to_int ( fst options ) ) ( Device . to_int ( snd options ) ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sparse_csr_tensor ~ crow_indices ~ col_indices ~ values ~ options = let out__ = CArray . make t 1 in stubs_sparse_csr_tensor ( CArray . start out__ ) crow_indices col_indices values ( Kind . packed_to_int ( fst options ) ) ( Device . to_int ( snd options ) ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sparse_csr_tensor_crow_col_value_size ~ crow_indices ~ col_indices ~ values ~ size ~ options = let out__ = CArray . make t 1 in stubs_sparse_csr_tensor_crow_col_value_size ( CArray . start out__ ) crow_indices col_indices values ( List . map Int64 . of_int size |> CArray . of_list int64_t |> CArray . start ) ( List . length size ) ( Kind . packed_to_int ( fst options ) ) ( Device . to_int ( snd options ) ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sparse_mask self ~ mask = let out__ = CArray . make t 1 in stubs_sparse_mask ( CArray . start out__ ) self mask ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sparse_resize_ self ~ size ~ sparse_dim ~ dense_dim = let out__ = CArray . make t 1 in stubs_sparse_resize_ ( CArray . start out__ ) self ( List . map Int64 . of_int size |> CArray . of_list int64_t |> CArray . start ) ( List . length size ) ( Int64 . of_int sparse_dim ) ( Int64 . of_int dense_dim ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let sparse_resize_and_clear_ self ~ size ~ sparse_dim ~ dense_dim = let out__ = CArray . make t 1 in stubs_sparse_resize_and_clear_ ( CArray . start out__ ) self ( List . map Int64 . of_int size |> CArray . of_list int64_t |> CArray . start ) ( List . length size ) ( Int64 . of_int sparse_dim ) ( Int64 . of_int dense_dim ) ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_digamma self = let out__ = CArray . make t 1 in stubs_special_digamma ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_digamma_out ~ out self = let out__ = CArray . make t 1 in stubs_special_digamma_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_entr self = let out__ = CArray . make t 1 in stubs_special_entr ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_entr_out ~ out self = let out__ = CArray . make t 1 in stubs_special_entr_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_erf self = let out__ = CArray . make t 1 in stubs_special_erf ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_erf_out ~ out self = let out__ = CArray . make t 1 in stubs_special_erf_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_erfc self = let out__ = CArray . make t 1 in stubs_special_erfc ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_erfc_out ~ out self = let out__ = CArray . make t 1 in stubs_special_erfc_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_erfcx self = let out__ = CArray . make t 1 in stubs_special_erfcx ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_erfcx_out ~ out self = let out__ = CArray . make t 1 in stubs_special_erfcx_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_erfinv self = let out__ = CArray . make t 1 in stubs_special_erfinv ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_erfinv_out ~ out self = let out__ = CArray . make t 1 in stubs_special_erfinv_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_exp2 self = let out__ = CArray . make t 1 in stubs_special_exp2 ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_exp2_out ~ out self = let out__ = CArray . make t 1 in stubs_special_exp2_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_expit self = let out__ = CArray . make t 1 in stubs_special_expit ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_expit_out ~ out self = let out__ = CArray . make t 1 in stubs_special_expit_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_expm1 self = let out__ = CArray . make t 1 in stubs_special_expm1 ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_expm1_out ~ out self = let out__ = CArray . make t 1 in stubs_special_expm1_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_gammainc self other = let out__ = CArray . make t 1 in stubs_special_gammainc ( CArray . start out__ ) self other ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_gammainc_out ~ out self other = let out__ = CArray . make t 1 in stubs_special_gammainc_out ( CArray . start out__ ) out self other ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_gammaincc self other = let out__ = CArray . make t 1 in stubs_special_gammaincc ( CArray . start out__ ) self other ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_gammaincc_out ~ out self other = let out__ = CArray . make t 1 in stubs_special_gammaincc_out ( CArray . start out__ ) out self other ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_gammaln self = let out__ = CArray . make t 1 in stubs_special_gammaln ( CArray . start out__ ) self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
let special_gammaln_out ~ out self = let out__ = CArray . make t 1 in stubs_special_gammaln_out ( CArray . start out__ ) out self ; let t0 = CArray . get out__ 0 in Gc . finalise C . Tensor . free t0 ; t0 |
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