Uses of Class
org.bytedeco.pytorch.TensorOptional

Packages that use TensorOptional

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

Uses of TensorOptional in org.bytedeco.pytorch

Methods in org.bytedeco.pytorch that return TensorOptional

Modifier and Type	Method and Description
TensorOptional	TensorOptionalArrayRef.at(long Index) Vector compatibility
TensorOptional	TensorOptionalVector.back()
TensorOptional	TensorOptionalArrayRef.back() back - Get the last element.
TensorOptional	TensorOptionalArrayRef.begin() \} \name Simple Operations \{
TensorOptional	TensorOptionalArrayRef.cbegin()
TensorOptional	TensorOptionalArrayRef.cend()
TensorOptional	TensorOptionalArrayRef.data()
TensorOptional	TensorOptionalArrayRef.end()
TensorOptional	TensorOptionalList.extract(long pos) Moves out the element at the specified location pos and returns it, with bounds checking.
TensorOptional	TensorOptionalVector.front()
TensorOptional	TensorOptionalArrayRef.front() front - Get the first element.
TensorOptional[]	TensorOptionalVector.get()
TensorOptional	TensorOptionalVector.Iterator.get()
TensorOptional	TensorOptionalVector.get(long i)
TensorOptional	TensorOptionalList.get(long pos) Returns the element at specified location pos, with bounds checking.
TensorOptional	TensorOptionalArrayRef.get(long Index) \} \name Operator Overloads \{
TensorOptional	TensorOptionalElementReference.getTensorOptional()
TensorOptional	NormalizeFuncOptions.out()
TensorOptional	TensorOptionalVector.pop_back()
TensorOptional	TensorOptional.put(Tensor value)
TensorOptional	TensorOptional.put(TensorOptional x)
TensorOptional	IValue.toOptionalTensorVector()
TensorOptional	TensorOptionalList.vec()
TensorOptional	TensorOptionalArrayRef.vec() \} \name Expensive Operations \{

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

Modifier and Type	Method and Description
void	Tensor.__dispatch__backward(TensorArrayRef inputs, TensorOptional gradient, BoolOptional retain_graph, boolean create_graph) This function can be used to set the value of the forward grad.
void	Tensor.__dispatch__backward(TensorVector inputs, TensorOptional gradient, BoolOptional retain_graph, boolean create_graph)
void	Tensor._backward(TensorArrayRef inputs, TensorOptional gradient, BoolOptional keep_graph, boolean create_graph)
void	VariableHooksInterface._backward(Tensor arg0, TensorArrayRef arg1, TensorOptional arg2, BoolOptional arg3, boolean arg4)
void	VariableHooksInterface._backward(Tensor arg0, TensorVector arg1, TensorOptional arg2, BoolOptional arg3, boolean arg4)
void	Tensor._backward(TensorVector inputs, TensorOptional gradient, BoolOptional keep_graph, boolean create_graph)
Tensor	Tensor.bincount(TensorOptional weights, long minlength)
Tensor	Tensor.clamp_(TensorOptional min, TensorOptional max)
Tensor	Tensor.clamp(TensorOptional min, TensorOptional max)
Tensor	Tensor.clip_(TensorOptional min, TensorOptional max)
Tensor	Tensor.clip(TensorOptional min, TensorOptional max)
Tensor	Tensor.cov(long correction, TensorOptional fweights, TensorOptional aweights)
Tensor	Tensor.diff(long n, long dim, TensorOptional prepend, TensorOptional append)
T_TensorTensor_T	Tensor.histogram(long bins, double[] range, TensorOptional weight, boolean density)
T_TensorTensor_T	Tensor.histogram(long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
T_TensorTensor_T	Tensor.histogram(Tensor bins, TensorOptional weight, boolean density)
TensorOptionalListIterator	TensorOptionalList.insert(TensorOptionalListIterator pos, TensorOptional value) Inserts value before pos.
TensorOptionalVector.Iterator	TensorOptionalVector.insert(TensorOptionalVector.Iterator pos, TensorOptional value)
Tensor	Tensor.istft(long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, boolean normalized, BoolOptional onesided, LongOptional length, boolean return_complex)
TensorOptionalVector	TensorOptionalVector.push_back(TensorOptional value)
void	TensorOptionalList.push_back(TensorOptional value) Appends the given element value to the end of the container.
TensorOptionalVector	TensorOptionalVector.put(long i, TensorOptional value)
TensorOptionalVector	TensorOptionalVector.put(TensorOptional... array)
TensorOptionalVector	TensorOptionalVector.put(TensorOptional value)
TensorOptional	TensorOptional.put(TensorOptional x)
void	TensorOptionalList.resize(long count, TensorOptional value) Resizes the container to contain count elements.
void	TensorOptionalList.set(long pos, TensorOptional value) Assigns a new value to the element at location pos.
Tensor	Tensor.stft(long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean normalized, BoolOptional onesided, BoolOptional return_complex)
Tensor	Tensor.stft(long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, BytePointer pad_mode, boolean normalized, BoolOptional onesided, BoolOptional return_complex)
Tensor	Tensor.stft(long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, String pad_mode, boolean normalized, BoolOptional onesided, BoolOptional return_complex)

Constructors in org.bytedeco.pytorch with parameters of type TensorOptional

Constructor and Description
TensorOptionalArrayRef(TensorOptional data, long length) Construct an ArrayRef from a pointer and length.
TensorOptionalArrayRef(TensorOptional begin, TensorOptional end) Construct an ArrayRef from a range.
TensorOptionalVector(TensorOptional... array)
TensorOptionalVector(TensorOptional value)

Uses of TensorOptional in org.bytedeco.pytorch.global

Methods in org.bytedeco.pytorch.global with parameters of type TensorOptional

Modifier and Type	Method and Description
static Tensor	torch.batch_norm_backward_elemt_out(Tensor out, Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, Tensor sum_dy, Tensor sum_dy_xmu, Tensor count)
static Tensor	torch.batch_norm_backward_elemt_outf(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, Tensor sum_dy, Tensor sum_dy_xmu, Tensor count, Tensor out)
static Tensor	torch.batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, Tensor sum_dy, Tensor sum_dy_xmu, Tensor count)
static T_TensorTensorTensorTensor_T	torch.batch_norm_backward_reduce_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, boolean input_g, boolean weight_g, boolean bias_g)
static T_TensorTensorTensorTensor_T	torch.batch_norm_backward_reduce_outf(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, boolean input_g, boolean weight_g, boolean bias_g, Tensor out0, Tensor out1, Tensor out2, Tensor out3)
static T_TensorTensorTensorTensor_T	torch.batch_norm_backward_reduce(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, boolean input_g, boolean weight_g, boolean bias_g)
static Tensor	torch.batch_norm_elemt_out(Tensor out, Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps)
static Tensor	torch.batch_norm_elemt_outf(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps, Tensor out)
static Tensor	torch.batch_norm_elemt(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps)
static T_TensorTensor_T	torch.batch_norm_gather_stats_out(Tensor out0, Tensor out1, Tensor input, Tensor mean, Tensor invstd, TensorOptional running_mean, TensorOptional running_var, double momentum, double eps, long count)
static T_TensorTensor_T	torch.batch_norm_gather_stats_outf(Tensor input, Tensor mean, Tensor invstd, TensorOptional running_mean, TensorOptional running_var, double momentum, double eps, long count, Tensor out0, Tensor out1)
static T_TensorTensor_T	torch.batch_norm_gather_stats_with_counts_out(Tensor out0, Tensor out1, Tensor input, Tensor mean, Tensor invstd, TensorOptional running_mean, TensorOptional running_var, double momentum, double eps, Tensor counts)
static T_TensorTensor_T	torch.batch_norm_gather_stats_with_counts_outf(Tensor input, Tensor mean, Tensor invstd, TensorOptional running_mean, TensorOptional running_var, double momentum, double eps, Tensor counts, Tensor out0, Tensor out1)
static T_TensorTensor_T	torch.batch_norm_gather_stats_with_counts(Tensor input, Tensor mean, Tensor invstd, TensorOptional running_mean, TensorOptional running_var, double momentum, double eps, Tensor counts)
static T_TensorTensor_T	torch.batch_norm_gather_stats(Tensor input, Tensor mean, Tensor invstd, TensorOptional running_mean, TensorOptional running_var, double momentum, double eps, long count)
static T_TensorTensor_T	torch.batch_norm_update_stats_out(Tensor out0, Tensor out1, Tensor input, TensorOptional running_mean, TensorOptional running_var, double momentum)
static T_TensorTensor_T	torch.batch_norm_update_stats_outf(Tensor input, TensorOptional running_mean, TensorOptional running_var, double momentum, Tensor out0, Tensor out1)
static T_TensorTensor_T	torch.batch_norm_update_stats(Tensor input, TensorOptional running_mean, TensorOptional running_var, double momentum)
static Tensor	torch.batch_norm(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps, boolean cudnn_enabled)
static Tensor	torch.bilinear(Tensor input1, Tensor input2, Tensor weight, TensorOptional bias)
static Tensor	torch.binary_cross_entropy_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, Tensor grad_input)
static Tensor	torch.binary_cross_entropy_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, Tensor out)
static Tensor	torch.binary_cross_entropy_with_logits_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, TensorOptional pos_weight, long reduction)
static Tensor	torch.binary_cross_entropy_with_logits_outf(Tensor self, Tensor target, TensorOptional weight, TensorOptional pos_weight, long reduction, Tensor out)
static Tensor	torch.binary_cross_entropy_with_logits(Tensor self, Tensor target, TensorOptional weight, TensorOptional pos_weight, long reduction)
static Tensor	torch.binary_cross_entropy(Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.bincount_out(Tensor out, Tensor self, TensorOptional weights, long minlength)
static Tensor	torch.bincount_outf(Tensor self, TensorOptional weights, long minlength, Tensor out)
static Tensor	torch.bincount(Tensor self, TensorOptional weights, long minlength)
static Tensor	torch.clamp_(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clamp_out(Tensor out, Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clamp_outf(Tensor self, TensorOptional min, TensorOptional max, Tensor out)
static Tensor	torch.clamp(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clip_(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clip_out(Tensor out, Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clip_outf(Tensor self, TensorOptional min, TensorOptional max, Tensor out)
static Tensor	torch.clip(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.conv_depthwise3d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.conv_depthwise3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.conv_depthwise3d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] dilation, Tensor out)
static Tensor	torch.conv_depthwise3d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.conv_depthwise3d_symint_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long... dilation)
static Tensor	torch.conv_depthwise3d_symint_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation)
static Tensor	torch.conv_depthwise3d_symint_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, Tensor out)
static Tensor	torch.conv_depthwise3d_symint_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.conv_depthwise3d_symint(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long... dilation)
static Tensor	torch.conv_depthwise3d_symint(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation)
static Tensor	torch.conv_depthwise3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.conv_depthwise3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.conv_transpose1d_symint(Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose1d_symint(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose2d_symint(Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose2d_symint(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose3d_symint(Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose3d_symint(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv1d_symint(Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, long groups)
static Tensor	torch.conv1d_symint(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, String padding)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, String padding, long[] dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, BytePointer padding)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, BytePointer padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv2d_symint(Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, long groups)
static Tensor	torch.conv2d_symint(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, String padding)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, String padding, long[] dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, BytePointer padding)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, BytePointer padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv3d_symint(Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, long groups)
static Tensor	torch.conv3d_symint(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, String padding)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, String padding, long[] dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, BytePointer padding)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, BytePointer padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.convolution_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups)
static Tensor	torch.convolution_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups)
static Tensor	torch.convolution_outf(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, Tensor out)
static Tensor	torch.convolution_outf(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, Tensor out)
static Tensor	torch.convolution_overrideable_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups)
static Tensor	torch.convolution_overrideable_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups)
static Tensor	torch.convolution_overrideable_outf(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, Tensor out)
static Tensor	torch.convolution_overrideable_outf(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, Tensor out)
static Tensor	torch.convolution_overrideable(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups)
static Tensor	torch.convolution_overrideable(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups)
static Tensor	torch.convolution_symint_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, boolean transposed, SymIntArrayRef output_padding, long groups)
static Tensor	torch.convolution_symint_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, boolean transposed, SymIntArrayRef output_padding, long groups)
static Tensor	torch.convolution_symint_outf(Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, boolean transposed, SymIntArrayRef output_padding, long groups, Tensor out)
static Tensor	torch.convolution_symint_outf(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, boolean transposed, SymIntArrayRef output_padding, long groups, Tensor out)
static Tensor	torch.convolution_symint(Tensor input, Tensor weight, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, boolean transposed, SymIntArrayRef output_padding, long groups)
static Tensor	torch.convolution_symint(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, boolean transposed, SymIntArrayRef output_padding, long groups)
static Tensor	torch.convolution(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups)
static Tensor	torch.convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups)
static Tensor	torch.cov(Tensor self, long correction, TensorOptional fweights, TensorOptional aweights)
static Tensor	torch.cross_entropy_loss_symint(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, double label_smoothing)
static Tensor	torch.cross_entropy_loss(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, double label_smoothing)
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_TensorTensorTensorTensor_T	torch.cudnn_batch_norm_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon)
static T_TensorTensorTensorTensor_T	torch.cudnn_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, Tensor out3)
static T_TensorTensorTensorTensor_T	torch.cudnn_batch_norm(Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon)
static Tensor	torch.cudnn_convolution_add_relu_out(Tensor out, Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.cudnn_convolution_add_relu_out(Tensor out, Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.cudnn_convolution_add_relu_outf(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups, Tensor out)
static Tensor	torch.cudnn_convolution_add_relu_outf(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups, Tensor out)
static Tensor	torch.cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.cudnn_convolution_relu_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.cudnn_convolution_relu_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.cudnn_convolution_relu_outf(Tensor self, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups, Tensor out)
static Tensor	torch.cudnn_convolution_relu_outf(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups, Tensor out)
static Tensor	torch.cudnn_convolution_relu(Tensor self, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.cudnn_convolution_relu(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static DeviceOptional	torch.device_of(TensorOptional t)
static Tensor	torch.diff_out(Tensor out, Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append)
static Tensor	torch.diff_outf(Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append, Tensor out)
static Tensor	torch.diff(Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append)
static T_TensorTensorTensorTensor_T	torch.embedding_bag(Tensor weight, Tensor indices, Tensor offsets, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, boolean include_last_offset)
static T_TensorTensorTensorTensor_T	torch.embedding_bag(Tensor weight, Tensor indices, Tensor offsets, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, boolean include_last_offset, LongOptional padding_idx)
static Tensor	torch.group_norm(Tensor input, long num_groups, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enabled)
static Tensor	torch.gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static T_TensorTensor_T	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, long bins, double[] range, TensorOptional weight, boolean density)
static T_TensorTensor_T	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
static T_TensorTensor_T	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, Tensor bins, TensorOptional weight, boolean density)
static T_TensorTensor_T	torch.histogram_outf(Tensor self, long bins, double[] range, TensorOptional weight, boolean density, Tensor hist, Tensor bin_edges)
static T_TensorTensor_T	torch.histogram_outf(Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density, Tensor hist, Tensor bin_edges)
static T_TensorTensor_T	torch.histogram_outf(Tensor self, Tensor bins, TensorOptional weight, boolean density, Tensor hist, Tensor bin_edges)
static T_TensorTensor_T	torch.histogram(Tensor self, long bins, double[] range, TensorOptional weight, boolean density)
static T_TensorTensor_T	torch.histogram(Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
static T_TensorTensor_T	torch.histogram(Tensor self, Tensor bins, TensorOptional weight, boolean density)
static T_TensorTensorVector_T	torch.histogramdd(Tensor self, long[] bins, double[] range, TensorOptional weight, boolean density)
static T_TensorTensorVector_T	torch.histogramdd(Tensor self, LongArrayRef bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
static T_TensorTensorVector_T	torch.histogramdd(Tensor self, long bins, double[] range, TensorOptional weight, boolean density)
static T_TensorTensorVector_T	torch.histogramdd(Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
static T_TensorTensorVector_T	torch.histogramdd(Tensor self, TensorArrayRef bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
static T_TensorTensorVector_T	torch.histogramdd(Tensor self, TensorVector bins, double[] range, TensorOptional weight, boolean density)
static Tensor	torch.instance_norm(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean use_input_stats, double momentum, double eps, boolean cudnn_enabled)
static Tensor	torch.istft(Tensor self, long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, boolean normalized, BoolOptional onesided, LongOptional length, boolean return_complex)
static Tensor	torch.layer_norm_symint(Tensor input, SymIntArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enable)
static Tensor	torch.layer_norm(Tensor input, long[] normalized_shape, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enable)
static Tensor	torch.layer_norm(Tensor input, LongArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enable)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor input, TensorOptional atol, TensorOptional rtol, boolean hermitian)
static Tensor	torch.linalg_matrix_rank_outf(Tensor input, TensorOptional atol, TensorOptional rtol, boolean hermitian, Tensor out)
static Tensor	torch.linalg_matrix_rank(Tensor input, TensorOptional atol, TensorOptional rtol, boolean hermitian)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self, TensorOptional atol, TensorOptional rtol, boolean hermitian)
static Tensor	torch.linalg_pinv_outf(Tensor self, TensorOptional atol, TensorOptional rtol, boolean hermitian, Tensor out)
static Tensor	torch.linalg_pinv(Tensor self, TensorOptional atol, TensorOptional rtol, boolean hermitian)
static Tensor	torch.linear_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias)
static Tensor	torch.linear_outf(Tensor input, Tensor weight, TensorOptional bias, Tensor out)
static Tensor	torch.linear(Tensor input, Tensor weight, TensorOptional bias)
static T_TensorTensor_T	torch.lstm_cell(Tensor input, TensorArrayRef hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static T_TensorTensor_T	torch.lstm_cell(Tensor input, TensorVector hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static void	torch.lstm_mps_backward_out(Tensor out0, TensorArrayRef out1, TensorArrayRef out2, TensorOptional grad_y, TensorOptional grad_hy, TensorOptional grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, TensorArrayRef hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static void	torch.lstm_mps_backward_out(Tensor out0, TensorVector out1, TensorVector out2, TensorOptional grad_y, TensorOptional grad_hy, TensorOptional grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, TensorVector hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static void	torch.lstm_mps_backward_outf(TensorOptional grad_y, TensorOptional grad_hy, TensorOptional grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, TensorArrayRef hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first, Tensor out0, TensorArrayRef out1, TensorArrayRef out2)
static void	torch.lstm_mps_backward_outf(TensorOptional grad_y, TensorOptional grad_hy, TensorOptional grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, TensorVector hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first, Tensor out0, TensorVector out1, TensorVector out2)
static T_TensorTensorVectorTensorVector_T	torch.lstm_mps_backward(TensorOptional grad_y, TensorOptional grad_hy, TensorOptional grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, TensorArrayRef hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static T_TensorTensorVectorTensorVector_T	torch.lstm_mps_backward(TensorOptional grad_y, TensorOptional grad_hy, TensorOptional grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, TensorVector hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static Tensor	torch.matrix_rank_out(Tensor result, Tensor input, TensorOptional atol, TensorOptional rtol, boolean hermitian)
static Tensor	torch.matrix_rank(Tensor input, TensorOptional atol, TensorOptional rtol, boolean hermitian)
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 Tensor	torch.miopen_convolution_add_relu(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.miopen_convolution_add_relu(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.miopen_convolution_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_outf(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_convolution_outf(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_convolution_relu(Tensor self, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.miopen_convolution_relu(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.miopen_convolution_symint_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_symint_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_symint_outf(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_convolution_symint_outf(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_convolution_symint(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_symint(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_outf(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_convolution_transpose_outf(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_convolution_transpose_symint_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, SymIntArrayRef output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_symint_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_symint_outf(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, SymIntArrayRef output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_convolution_transpose_symint_outf(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_convolution_transpose_symint(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, SymIntArrayRef output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_symint(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_outf(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_depthwise_convolution_outf(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_depthwise_convolution_symint_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_symint_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_symint_outf(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_depthwise_convolution_symint_outf(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, Tensor out)
static Tensor	torch.miopen_depthwise_convolution_symint(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_symint(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static void	torch.miopen_rnn_backward_out(Tensor out0, Tensor out1, Tensor out2, TensorArrayRef out3, Tensor input, TensorArrayRef weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask)
static void	torch.miopen_rnn_backward_out(Tensor out0, Tensor out1, Tensor out2, TensorVector out3, Tensor input, TensorVector weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask)
static void	torch.miopen_rnn_backward_outf(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2, TensorArrayRef out3)
static void	torch.miopen_rnn_backward_outf(Tensor input, TensorVector weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask, Tensor out0, Tensor out1, Tensor out2, TensorVector out3)
static T_TensorTensorTensorTensorVector_T	torch.miopen_rnn_backward(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask)
static T_TensorTensorTensorTensorVector_T	torch.miopen_rnn_backward(Tensor input, TensorVector weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4, Tensor input, TensorArrayRef weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4, Tensor input, TensorVector weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn_outf(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state, Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn_outf(Tensor input, TensorVector weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state, Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn(Tensor input, TensorVector weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state)
static Tensor	torch.mkldnn_convolution_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_convolution_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mkldnn_convolution_outf(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, Tensor out)
static Tensor	torch.mkldnn_convolution_outf(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, Tensor out)
static Tensor	torch.mkldnn_convolution_symint_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_convolution_symint_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mkldnn_convolution_symint_outf(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups, Tensor out)
static Tensor	torch.mkldnn_convolution_symint_outf(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, Tensor out)
static Tensor	torch.mkldnn_convolution_symint(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_convolution_symint(Tensor self, Tensor weight, TensorOptional bias, SymIntArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mkldnn_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mkldnn_linear_out(Tensor out, Tensor self, Tensor weight, TensorOptional bias)
static Tensor	torch.mkldnn_linear_outf(Tensor self, Tensor weight, TensorOptional bias, Tensor out)
static Tensor	torch.mkldnn_linear(Tensor self, Tensor weight, TensorOptional bias)
static T_TensorTensorTensorTensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4, Tensor out5, Tensor out6, Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, boolean reverse, long mode, long hidden_size, long num_layers, boolean has_biases, boolean train, boolean bidirectional, long[] batch_sizes, boolean batch_first, Tensor workspace)
static T_TensorTensorTensorTensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_backward_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4, Tensor out5, Tensor out6, Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, boolean reverse, long mode, long hidden_size, long num_layers, boolean has_biases, boolean train, boolean bidirectional, LongArrayRef batch_sizes, boolean batch_first, Tensor workspace)
static T_TensorTensorTensorTensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_backward_outf(Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, boolean reverse, long mode, long hidden_size, long num_layers, boolean has_biases, boolean train, boolean bidirectional, long[] batch_sizes, boolean batch_first, Tensor workspace, Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4, Tensor out5, Tensor out6)
static T_TensorTensorTensorTensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_backward_outf(Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, boolean reverse, long mode, long hidden_size, long num_layers, boolean has_biases, boolean train, boolean bidirectional, LongArrayRef batch_sizes, boolean batch_first, Tensor workspace, Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4, Tensor out5, Tensor out6)
static T_TensorTensorTensorTensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_backward(Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, boolean reverse, long mode, long hidden_size, long num_layers, boolean has_biases, boolean train, boolean bidirectional, long[] batch_sizes, boolean batch_first, Tensor workspace)
static T_TensorTensorTensorTensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_backward(Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, boolean reverse, long mode, long hidden_size, long num_layers, boolean has_biases, boolean train, boolean bidirectional, LongArrayRef batch_sizes, boolean batch_first, Tensor workspace)
static Tensor	torch.multi_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction, Tensor grad_input)
static Tensor	torch.multi_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_out(Tensor out, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_outf(Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction, Tensor out)
static Tensor	torch.multi_margin_loss(Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
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 Tensor	torch.nll_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight, Tensor grad_input)
static Tensor	torch.nll_loss_backward_symint_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss_backward_symint_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor total_weight, Tensor grad_input)
static Tensor	torch.nll_loss_backward_symint(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static T_TensorTensor_T	torch.nll_loss_forward_out(Tensor output, Tensor total_weight, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static T_TensorTensor_T	torch.nll_loss_forward_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor output, Tensor total_weight)
static T_TensorTensor_T	torch.nll_loss_forward_symint_out(Tensor output, Tensor total_weight, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static T_TensorTensor_T	torch.nll_loss_forward_symint_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor output, Tensor total_weight)
static T_TensorTensor_T	torch.nll_loss_forward_symint(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static T_TensorTensor_T	torch.nll_loss_forward(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss_nd_symint(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static Tensor	torch.nll_loss_nd(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor out)
static Tensor	torch.nll_loss_symint_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static Tensor	torch.nll_loss_symint_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor out)
static Tensor	torch.nll_loss_symint(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static Tensor	torch.nll_loss(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss2d_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight, Tensor grad_input)
static Tensor	torch.nll_loss2d_backward_symint_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss2d_backward_symint_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor total_weight, Tensor grad_input)
static Tensor	torch.nll_loss2d_backward_symint(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss2d_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static T_TensorTensor_T	torch.nll_loss2d_forward_out(Tensor output, Tensor total_weight, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static T_TensorTensor_T	torch.nll_loss2d_forward_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor output, Tensor total_weight)
static T_TensorTensor_T	torch.nll_loss2d_forward_symint_out(Tensor output, Tensor total_weight, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static T_TensorTensor_T	torch.nll_loss2d_forward_symint_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor output, Tensor total_weight)
static T_TensorTensor_T	torch.nll_loss2d_forward_symint(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static T_TensorTensor_T	torch.nll_loss2d_forward(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss2d_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss2d_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor out)
static Tensor	torch.nll_loss2d_symint_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static Tensor	torch.nll_loss2d_symint_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index, Tensor out)
static Tensor	torch.nll_loss2d_symint(Tensor self, Tensor target, TensorOptional weight, long reduction, SymInt ignore_index)
static Tensor	torch.nll_loss2d(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.normalize(Tensor input, double p, long dim, double eps, TensorOptional out) Options for torch::nn::functional::local_response_norm.
static Tensor	torch.quantized_batch_norm_out(Tensor out, Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor var, double eps, double output_scale, long output_zero_point)
static Tensor	torch.quantized_batch_norm_outf(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor var, double eps, double output_scale, long output_zero_point, Tensor out)
static Tensor	torch.quantized_batch_norm(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor var, double eps, double output_scale, long output_zero_point)
static Tensor	torch.rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static Tensor	torch.rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static Tensor	torch.scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, TensorOptional attn_mask, double dropout_p, boolean is_causal, DoubleOptional scale)
static Tensor	torch.searchsorted_out(Tensor out, Tensor sorted_sequence, Scalar self, boolean out_int32, boolean right, StringViewOptional side, TensorOptional sorter)
static Tensor	torch.searchsorted_out(Tensor out, Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right, StringViewOptional side, TensorOptional sorter)
static Tensor	torch.searchsorted_outf(Tensor sorted_sequence, Scalar self, boolean out_int32, boolean right, StringViewOptional side, TensorOptional sorter, Tensor out)
static Tensor	torch.searchsorted_outf(Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right, StringViewOptional side, TensorOptional sorter, Tensor out)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Scalar self, boolean out_int32, boolean right, StringViewOptional side, TensorOptional sorter)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right, StringViewOptional side, TensorOptional sorter)
static Tensor	torch.segment_reduce_out(Tensor out, Tensor data, BytePointer reduce, TensorOptional lengths, TensorOptional indices, TensorOptional offsets, long axis, boolean unsafe, ScalarOptional initial)
static Tensor	torch.segment_reduce_out(Tensor out, Tensor data, String reduce, TensorOptional lengths, TensorOptional indices, TensorOptional offsets, long axis, boolean unsafe, ScalarOptional initial)
static Tensor	torch.segment_reduce_outf(Tensor data, BytePointer reduce, TensorOptional lengths, TensorOptional indices, TensorOptional offsets, long axis, boolean unsafe, ScalarOptional initial, Tensor out)
static Tensor	torch.segment_reduce_outf(Tensor data, String reduce, TensorOptional lengths, TensorOptional indices, TensorOptional offsets, long axis, boolean unsafe, ScalarOptional initial, Tensor out)
static Tensor	torch.segment_reduce(Tensor data, BytePointer reduce, TensorOptional lengths, TensorOptional indices, TensorOptional offsets, long axis, boolean unsafe, ScalarOptional initial)
static Tensor	torch.segment_reduce(Tensor data, String reduce, TensorOptional lengths, TensorOptional indices, TensorOptional offsets, long axis, boolean unsafe, ScalarOptional initial)
static Tensor	torch.slow_conv_dilated2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.slow_conv_dilated2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_dilated2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_dilated2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_dilated2d_symint_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long... dilation)
static Tensor	torch.slow_conv_dilated2d_symint_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_dilated2d_symint_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_dilated2d_symint_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_dilated2d_symint(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long... dilation)
static Tensor	torch.slow_conv_dilated2d_symint(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_dilated3d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.slow_conv_dilated3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_dilated3d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_dilated3d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_dilated3d_symint_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long... dilation)
static Tensor	torch.slow_conv_dilated3d_symint_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_dilated3d_symint_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_dilated3d_symint_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_dilated3d_symint(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, long... dilation)
static Tensor	torch.slow_conv_dilated3d_symint(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_transpose2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_transpose2d_symint_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose2d_symint_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose2d_symint_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_transpose2d_symint_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_transpose2d_symint(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose2d_symint(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose3d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_transpose3d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_transpose3d_symint_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose3d_symint_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose3d_symint_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_transpose3d_symint_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_transpose3d_symint(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, SymIntArrayRef output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose3d_symint(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, SymIntArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv3d_forward_out(Tensor output, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.slow_conv3d_forward_out(Tensor output, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.slow_conv3d_forward_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor output)
static Tensor	torch.slow_conv3d_forward_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor output)
static Tensor	torch.slow_conv3d_forward_symint_out(Tensor output, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding)
static Tensor	torch.slow_conv3d_forward_symint_out(Tensor output, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding)
static Tensor	torch.slow_conv3d_forward_symint_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, Tensor output)
static Tensor	torch.slow_conv3d_forward_symint_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, Tensor output)
static Tensor	torch.slow_conv3d_forward_symint(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding)
static Tensor	torch.slow_conv3d_forward_symint(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding)
static Tensor	torch.slow_conv3d_forward(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.slow_conv3d_forward(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.slow_conv3d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor out)
static Tensor	torch.slow_conv3d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor out)
static Tensor	torch.slow_conv3d_symint_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding)
static Tensor	torch.slow_conv3d_symint_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding)
static Tensor	torch.slow_conv3d_symint_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding, Tensor out)
static Tensor	torch.slow_conv3d_symint_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding, Tensor out)
static Tensor	torch.slow_conv3d_symint(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, SymIntArrayRef padding)
static Tensor	torch.slow_conv3d_symint(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, SymIntArrayRef padding)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.stft(Tensor self, long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean normalized, BoolOptional onesided, BoolOptional return_complex)
static Tensor	torch.stft(Tensor self, long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, BytePointer pad_mode, boolean normalized, BoolOptional onesided, BoolOptional return_complex)
static Tensor	torch.stft(Tensor self, long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, String pad_mode, boolean normalized, BoolOptional onesided, BoolOptional return_complex)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.thnn_conv2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor out)
static Tensor	torch.thnn_conv2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor out)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)