Uses of Class
org.bytedeco.pytorch.T_TensorTensorTensor_T

Packages that use T_TensorTensorTensor_T

Package	Description
org.bytedeco.pytorch
org.bytedeco.pytorch.global

Uses of T_TensorTensorTensor_T in org.bytedeco.pytorch

Methods in org.bytedeco.pytorch that return T_TensorTensorTensor_T

Modifier and Type	Method and Description
T_TensorTensorTensor_T	T_TensorTensorTensor_T.put(T_TensorTensorTensor_T x)
T_TensorTensorTensor_T	Tensor.svd()
T_TensorTensorTensor_T	Tensor.svd(boolean some, boolean compute_uv)

Methods in org.bytedeco.pytorch with parameters of type T_TensorTensorTensor_T

Modifier and Type	Method and Description
static Tensor	T_TensorTensorTensor_T.get0(T_TensorTensorTensor_T container)
static Tensor	T_TensorTensorTensor_T.get1(T_TensorTensorTensor_T container)
static Tensor	T_TensorTensorTensor_T.get2(T_TensorTensorTensor_T container)
T_TensorTensorTensor_T	T_TensorTensorTensor_T.put(T_TensorTensorTensor_T x)

Uses of T_TensorTensorTensor_T in org.bytedeco.pytorch.global

Methods in org.bytedeco.pytorch.global that return T_TensorTensorTensor_T

Modifier and Type	Method and Description
static T_TensorTensorTensor_T	torch.conv_tbc_backward(Tensor self, Tensor input, Tensor weight, Tensor bias, long pad)
static T_TensorTensorTensor_T	torch.convolution_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_output, Tensor input, Tensor weight, long[] bias_sizes, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_output, Tensor input, Tensor weight, LongArrayRefOptional bias_sizes, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_outf(Tensor grad_output, Tensor input, Tensor weight, long[] bias_sizes, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.convolution_backward_outf(Tensor grad_output, Tensor input, Tensor weight, LongArrayRefOptional bias_sizes, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.convolution_backward_overrideable_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_output, Tensor input, Tensor weight, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_overrideable_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_output, Tensor input, Tensor weight, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_overrideable_outf(Tensor grad_output, Tensor input, Tensor weight, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.convolution_backward_overrideable_outf(Tensor grad_output, Tensor input, Tensor weight, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_symint_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_output, Tensor input, Tensor weight, SymIntArrayRefOptional bias_sizes, long[] stride, SymIntArrayRef padding, long[] dilation, boolean transposed, SymIntArrayRef output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_symint_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_output, Tensor input, Tensor weight, SymIntArrayRefOptional bias_sizes, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, boolean transposed, SymIntArrayRef output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_symint_outf(Tensor grad_output, Tensor input, Tensor weight, SymIntArrayRefOptional bias_sizes, long[] stride, SymIntArrayRef padding, long[] dilation, boolean transposed, SymIntArrayRef output_padding, long groups, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.convolution_backward_symint_outf(Tensor grad_output, Tensor input, Tensor weight, SymIntArrayRefOptional bias_sizes, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, boolean transposed, SymIntArrayRef output_padding, long groups, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.convolution_backward_symint(Tensor grad_output, Tensor input, Tensor weight, SymIntArrayRefOptional bias_sizes, long[] stride, SymIntArrayRef padding, long[] dilation, boolean transposed, SymIntArrayRef output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward_symint(Tensor grad_output, Tensor input, Tensor weight, SymIntArrayRefOptional bias_sizes, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, boolean transposed, SymIntArrayRef output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward(Tensor grad_output, Tensor input, Tensor weight, long[] bias_sizes, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.convolution_backward(Tensor grad_output, Tensor input, Tensor weight, LongArrayRefOptional bias_sizes, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.cudnn_batch_norm_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor input, Tensor grad_output, Tensor weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var, double epsilon, Tensor reserveSpace)
static T_TensorTensorTensor_T	torch.cudnn_batch_norm_backward_outf(Tensor input, Tensor grad_output, Tensor weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var, double epsilon, Tensor reserveSpace, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.cudnn_batch_norm_backward(Tensor input, Tensor grad_output, Tensor weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var, double epsilon, Tensor reserveSpace)
static T_TensorTensorTensor_T	torch.ldl_factor_ex(Tensor input, boolean hermitian, boolean check_errors) Computes the LDL decomposition See https://pytorch.org/docs/master/linalg.html#torch.linalg.ldl_factor_ex
static T_TensorTensorTensor_T	torch.linalg_ldl_factor_ex_out(Tensor LD, Tensor pivots, Tensor info, Tensor self)
static T_TensorTensorTensor_T	torch.linalg_ldl_factor_ex_out(Tensor LD, Tensor pivots, Tensor info, Tensor self, boolean hermitian, boolean check_errors)
static T_TensorTensorTensor_T	torch.linalg_ldl_factor_ex_outf(Tensor self, boolean hermitian, boolean check_errors, Tensor LD, Tensor pivots, Tensor info)
static T_TensorTensorTensor_T	torch.linalg_ldl_factor_ex(Tensor self)
static T_TensorTensorTensor_T	torch.linalg_ldl_factor_ex(Tensor self, boolean hermitian, boolean check_errors)
static T_TensorTensorTensor_T	torch.linalg_lu_factor_ex_out(Tensor LU, Tensor pivots, Tensor info, Tensor A)
static T_TensorTensorTensor_T	torch.linalg_lu_factor_ex_out(Tensor LU, Tensor pivots, Tensor info, Tensor A, boolean pivot, boolean check_errors)
static T_TensorTensorTensor_T	torch.linalg_lu_factor_ex_outf(Tensor A, boolean pivot, boolean check_errors, Tensor LU, Tensor pivots, Tensor info)
static T_TensorTensorTensor_T	torch.linalg_lu_factor_ex(Tensor A)
static T_TensorTensorTensor_T	torch.linalg_lu_factor_ex(Tensor A, boolean pivot, boolean check_errors)
static T_TensorTensorTensor_T	torch.linalg_lu_out(Tensor P, Tensor L, Tensor U, Tensor A)
static T_TensorTensorTensor_T	torch.linalg_lu_out(Tensor P, Tensor L, Tensor U, Tensor A, boolean pivot)
static T_TensorTensorTensor_T	torch.linalg_lu_outf(Tensor A, boolean pivot, Tensor P, Tensor L, Tensor U)
static T_TensorTensorTensor_T	torch.linalg_lu(Tensor A)
static T_TensorTensorTensor_T	torch.linalg_lu(Tensor A, boolean pivot)
static T_TensorTensorTensor_T	torch.linalg_svd_out(Tensor U, Tensor S, Tensor Vh, Tensor A)
static T_TensorTensorTensor_T	torch.linalg_svd_out(Tensor U, Tensor S, Tensor Vh, Tensor A, boolean full_matrices, StringViewOptional driver)
static T_TensorTensorTensor_T	torch.linalg_svd_outf(Tensor A, boolean full_matrices, StringViewOptional driver, Tensor U, Tensor S, Tensor Vh)
static T_TensorTensorTensor_T	torch.linalg_svd(Tensor A)
static T_TensorTensorTensor_T	torch.linalg_svd(Tensor A, boolean full_matrices, StringViewOptional driver)
static T_TensorTensorTensor_T	torch.linear_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, Tensor grad_output, Tensor weight, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.linear_backward_outf(Tensor self, Tensor grad_output, Tensor weight, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.linear_backward(Tensor self, Tensor grad_output, Tensor weight, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.lstm(Tensor input, TensorArrayRef hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static T_TensorTensorTensor_T	torch.lstm(Tensor data, Tensor batch_sizes, TensorArrayRef hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static T_TensorTensorTensor_T	torch.lstm(Tensor data, Tensor batch_sizes, TensorVector hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static T_TensorTensorTensor_T	torch.lstm(Tensor input, TensorVector hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static T_TensorTensorTensor_T	torch.lu_unpack_out(Tensor P, Tensor L, Tensor U, Tensor LU_data, Tensor LU_pivots)
static T_TensorTensorTensor_T	torch.lu_unpack_out(Tensor P, Tensor L, Tensor U, Tensor LU_data, Tensor LU_pivots, boolean unpack_data, boolean unpack_pivots)
static T_TensorTensorTensor_T	torch.lu_unpack_outf(Tensor LU_data, Tensor LU_pivots, boolean unpack_data, boolean unpack_pivots, Tensor P, Tensor L, Tensor U)
static T_TensorTensorTensor_T	torch.lu_unpack(Tensor LU_data, Tensor LU_pivots)
static T_TensorTensorTensor_T	torch.lu_unpack(Tensor LU_data, Tensor LU_pivots, boolean unpack_data, boolean unpack_pivots)
static T_TensorTensorTensor_T	torch.lu(Tensor input) Computes the LU factorization with partial pivoting See https://pytorch.org/docs/master/linalg.html#torch.linalg.lu
static T_TensorTensorTensor_T	torch.lu(Tensor self, boolean pivot)
static T_TensorTensorTensor_T	torch.miopen_batch_norm_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor input, Tensor grad_output, Tensor weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var, double epsilon)
static T_TensorTensorTensor_T	torch.miopen_batch_norm_backward_outf(Tensor input, Tensor grad_output, Tensor weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var, double epsilon, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.miopen_batch_norm_backward(Tensor input, Tensor grad_output, Tensor weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var, double epsilon)
static T_TensorTensorTensor_T	torch.miopen_batch_norm_out(Tensor out0, Tensor out1, Tensor out2, Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon)
static T_TensorTensorTensor_T	torch.miopen_batch_norm_outf(Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.miopen_batch_norm(Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon)
static T_TensorTensorTensor_T	torch.mkldnn_linear_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, Tensor grad_output, Tensor weight, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.mkldnn_linear_backward_outf(Tensor self, Tensor grad_output, Tensor weight, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.mkldnn_linear_backward(Tensor self, Tensor grad_output, Tensor weight, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.mps_convolution_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.mps_convolution_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.mps_convolution_backward_outf(Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.mps_convolution_backward_outf(Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.mps_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.mps_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_batch_norm_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_out, Tensor input, TensorOptional weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_invstd, boolean train, double eps, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_batch_norm_backward_outf(Tensor grad_out, Tensor input, TensorOptional weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_invstd, boolean train, double eps, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_batch_norm_backward(Tensor grad_out, Tensor input, TensorOptional weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_invstd, boolean train, double eps, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_batch_norm_out(Tensor out, Tensor save_mean, Tensor save_invstd, Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps)
static T_TensorTensorTensor_T	torch.native_batch_norm_outf(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps, Tensor out, Tensor save_mean, Tensor save_invstd)
static T_TensorTensorTensor_T	torch.native_batch_norm(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps)
static T_TensorTensorTensor_T	torch.native_group_norm_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, TensorOptional weight, long N, long C, long HxW, long group, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_group_norm_backward_outf(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, TensorOptional weight, long N, long C, long HxW, long group, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_group_norm_backward_symint_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, TensorOptional weight, SymInt N, SymInt C, SymInt HxW, long group, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_group_norm_backward_symint_outf(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, TensorOptional weight, SymInt N, SymInt C, SymInt HxW, long group, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_group_norm_backward_symint(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, TensorOptional weight, SymInt N, SymInt C, SymInt HxW, long group, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_group_norm_backward(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, TensorOptional weight, long N, long C, long HxW, long group, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_group_norm_out(Tensor out0, Tensor out1, Tensor out2, Tensor input, TensorOptional weight, TensorOptional bias, long N, long C, long HxW, long group, double eps)
static T_TensorTensorTensor_T	torch.native_group_norm_outf(Tensor input, TensorOptional weight, TensorOptional bias, long N, long C, long HxW, long group, double eps, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_group_norm_symint_out(Tensor out0, Tensor out1, Tensor out2, Tensor input, TensorOptional weight, TensorOptional bias, SymInt N, SymInt C, SymInt HxW, long group, double eps)
static T_TensorTensorTensor_T	torch.native_group_norm_symint_outf(Tensor input, TensorOptional weight, TensorOptional bias, SymInt N, SymInt C, SymInt HxW, long group, double eps, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_group_norm_symint(Tensor input, TensorOptional weight, TensorOptional bias, SymInt N, SymInt C, SymInt HxW, long group, double eps)
static T_TensorTensorTensor_T	torch.native_group_norm(Tensor input, TensorOptional weight, TensorOptional bias, long N, long C, long HxW, long group, double eps)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_out, Tensor input, long[] normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_out, Tensor input, LongArrayRef normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward_outf(Tensor grad_out, Tensor input, long[] normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward_outf(Tensor grad_out, Tensor input, LongArrayRef normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward_symint_out(Tensor out0, Tensor out1, Tensor out2, Tensor grad_out, Tensor input, SymIntArrayRef normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward_symint_outf(Tensor grad_out, Tensor input, SymIntArrayRef normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward_symint(Tensor grad_out, Tensor input, SymIntArrayRef normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward(Tensor grad_out, Tensor input, long[] normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_layer_norm_backward(Tensor grad_out, Tensor input, LongArrayRef normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask)
static T_TensorTensorTensor_T	torch.native_layer_norm_out(Tensor out0, Tensor out1, Tensor out2, Tensor input, long[] normalized_shape, TensorOptional weight, TensorOptional bias, double eps)
static T_TensorTensorTensor_T	torch.native_layer_norm_out(Tensor out0, Tensor out1, Tensor out2, Tensor input, LongArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps)
static T_TensorTensorTensor_T	torch.native_layer_norm_outf(Tensor input, long[] normalized_shape, TensorOptional weight, TensorOptional bias, double eps, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_layer_norm_outf(Tensor input, LongArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_layer_norm_symint_out(Tensor out0, Tensor out1, Tensor out2, Tensor input, SymIntArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps)
static T_TensorTensorTensor_T	torch.native_layer_norm_symint_outf(Tensor input, SymIntArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.native_layer_norm_symint(Tensor input, SymIntArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps)
static T_TensorTensorTensor_T	torch.native_layer_norm(Tensor input, long[] normalized_shape, TensorOptional weight, TensorOptional bias, double eps)
static T_TensorTensorTensor_T	torch.native_layer_norm(Tensor input, LongArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps)
static T_TensorTensorTensor_T	torch.svd_out(Tensor U, Tensor S, Tensor V, Tensor self)
static T_TensorTensorTensor_T	torch.svd_out(Tensor U, Tensor S, Tensor V, Tensor self, boolean some, boolean compute_uv)
static T_TensorTensorTensor_T	torch.svd_outf(Tensor self, boolean some, boolean compute_uv, Tensor U, Tensor S, Tensor V)
static T_TensorTensorTensor_T	torch.svd(Tensor self)
static T_TensorTensorTensor_T	torch.svd(Tensor self, boolean some, boolean compute_uv)
static T_TensorTensorTensor_T	torch.svd(Tensor input, boolean full_matrices, StringViewOptional driver)
static T_TensorTensorTensor_T	torch.unique_consecutive_out(Tensor out0, Tensor out1, Tensor out2, Tensor self)
static T_TensorTensorTensor_T	torch.unique_consecutive_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, boolean return_inverse, boolean return_counts, LongOptional dim)
static T_TensorTensorTensor_T	torch.unique_consecutive_outf(Tensor self, boolean return_inverse, boolean return_counts, LongOptional dim, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.unique_consecutive(Tensor self)
static T_TensorTensorTensor_T	torch.unique_consecutive(Tensor self, boolean return_inverse, boolean return_counts, LongOptional dim)
static T_TensorTensorTensor_T	torch.unique_dim_consecutive_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, long dim)
static T_TensorTensorTensor_T	torch.unique_dim_consecutive_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, long dim, boolean return_inverse, boolean return_counts)
static T_TensorTensorTensor_T	torch.unique_dim_consecutive_outf(Tensor self, long dim, boolean return_inverse, boolean return_counts, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.unique_dim_consecutive(Tensor self, long dim)
static T_TensorTensorTensor_T	torch.unique_dim_consecutive(Tensor self, long dim, boolean return_inverse, boolean return_counts)
static T_TensorTensorTensor_T	torch.unique_dim_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, long dim)
static T_TensorTensorTensor_T	torch.unique_dim_out(Tensor out0, Tensor out1, Tensor out2, Tensor self, long dim, boolean sorted, boolean return_inverse, boolean return_counts)
static T_TensorTensorTensor_T	torch.unique_dim_outf(Tensor self, long dim, boolean sorted, boolean return_inverse, boolean return_counts, Tensor out0, Tensor out1, Tensor out2)
static T_TensorTensorTensor_T	torch.unique_dim(Tensor self, long dim)
static T_TensorTensorTensor_T	torch.unique_dim(Tensor self, long dim, boolean sorted, boolean return_inverse, boolean return_counts)