Uses of Class
org.bytedeco.pytorch.TensorVector

Packages that use TensorVector

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

Uses of TensorVector in org.bytedeco.pytorch

Methods in org.bytedeco.pytorch that return TensorVector

Modifier and Type	Method and Description
TensorVector	RNNImplBase.all_weights()
TensorVector	GRUImplBase.all_weights()
TensorVector	LSTMImplBase.all_weights()
TensorVector	Node.apply_with_saved(TensorVector inputs, SwapSavedVariables saved)
TensorVector	FunctionPreHook.apply(TensorVector grads)
TensorVector	Node.apply(TensorVector inputs) Evaluates the function on the given inputs and returns the result of the function call.
TensorVector	FunctionPostHook.apply(TensorVector outputs, TensorVector inputs)
TensorVector	Module.buffers()
TensorVector	Module.buffers(boolean recurse) Returns the buffers of this Module and if recurse is true, also recursively of every submodule.
TensorVector	Tensor.chunk(long chunks)
TensorVector	Tensor.chunk(long chunks, long dim)
TensorVector	Tensor.dsplit(long... indices)
TensorVector	Tensor.dsplit(long sections)
TensorVector	Tensor.dsplit(LongArrayRef indices)
TensorVector	PyObjectHolder.extractTensors()
TensorVector	AutogradContext.get_saved_variables() Get the list of variables that were saved in forward using save_for_backward().
TensorVector	TensorVectorOptional.get()
TensorVector	T_TensorTensorVector_T.get1()
TensorVector	T_TensorTensorVectorTensorVector_T.get1()
static TensorVector	T_TensorTensorVector_T.get1(T_TensorTensorVector_T container)
static TensorVector	T_TensorTensorVectorTensorVector_T.get1(T_TensorTensorVectorTensorVector_T container)
TensorVector	T_TensorTensorVectorTensorVector_T.get2()
static TensorVector	T_TensorTensorVectorTensorVector_T.get2(T_TensorTensorVectorTensorVector_T container)
TensorVector	T_TensorTensorTensorTensorVector_T.get3()
static TensorVector	T_TensorTensorTensorTensorVector_T.get3(T_TensorTensorTensorTensorVector_T container)
TensorVector	Tensor.hsplit(long... indices)
TensorVector	Tensor.hsplit(long sections)
TensorVector	Tensor.hsplit(LongArrayRef indices)
TensorVector	Tensor.nonzero_numpy()
TensorVector	Module.parameters()
TensorVector	Optimizer.parameters() Provides a reference to the parameters in the first param_group this optimizer holds.
TensorVector	Module.parameters(boolean recurse) Returns the parameters of this Module and if recurse is true, also recursively of every submodule.
TensorVector	OptimizerParamGroup.params()
TensorVector	TensorVector.push_back(Tensor value)
TensorVector	TensorVector.put(long i, Tensor value)
TensorVector	TensorVector.put(Tensor... array)
TensorVector	TensorVector.put(Tensor value)
TensorVector	TensorVector.put(TensorVector x)
TensorVector	Tensor.split_symint(SymInt split_size)
TensorVector	Tensor.split_symint(SymIntArrayRef split_size)
TensorVector	Tensor.split_symint(SymIntArrayRef split_size, long dim)
TensorVector	Tensor.split_symint(SymInt split_size, long dim)
TensorVector	Tensor.split_with_sizes_symint(SymIntArrayRef split_sizes)
TensorVector	Tensor.split_with_sizes_symint(SymIntArrayRef split_sizes, long dim)
TensorVector	Tensor.split_with_sizes(long... split_sizes)
TensorVector	Tensor.split_with_sizes(long[] split_sizes, long dim)
TensorVector	Tensor.split_with_sizes(LongArrayRef split_sizes)
TensorVector	Tensor.split_with_sizes(LongArrayRef split_sizes, long dim)
TensorVector	Tensor.split(long... split_size)
TensorVector	Tensor.split(long split_size)
TensorVector	Tensor.split(long[] split_size, long dim)
TensorVector	Tensor.split(LongArrayRef split_size)
TensorVector	Tensor.split(LongArrayRef split_size, long dim)
TensorVector	Tensor.split(long split_size, long dim)
TensorVector	Tensor.tensor_split_symint(SymInt sections)
TensorVector	Tensor.tensor_split_symint(SymIntArrayRef indices)
TensorVector	Tensor.tensor_split_symint(SymIntArrayRef indices, long dim)
TensorVector	Tensor.tensor_split_symint(SymInt sections, long dim)
TensorVector	Tensor.tensor_split(long... indices)
TensorVector	Tensor.tensor_split(long sections)
TensorVector	Tensor.tensor_split(long[] indices, long dim)
TensorVector	Tensor.tensor_split(LongArrayRef indices)
TensorVector	Tensor.tensor_split(LongArrayRef indices, long dim)
TensorVector	Tensor.tensor_split(long sections, long dim)
TensorVector	Tensor.tensor_split(Tensor tensor_indices_or_sections)
TensorVector	Tensor.tensor_split(Tensor tensor_indices_or_sections, long dim)
TensorVector	Pickler.tensorData()
TensorVector	IValue.toTensorVector()
TensorVector	JitNode.ts(Symbol name)
TensorVector	Tensor.unbind()
TensorVector	Tensor.unbind(Dimname dim)
TensorVector	Tensor.unbind(long dim)
TensorVector	Tensor.unsafe_chunk(long chunks)
TensorVector	Tensor.unsafe_chunk(long chunks, long dim)
TensorVector	Tensor.unsafe_split_symint(SymInt split_size)
TensorVector	Tensor.unsafe_split_symint(SymInt split_size, long dim)
TensorVector	Tensor.unsafe_split_with_sizes_symint(SymIntArrayRef split_sizes)
TensorVector	Tensor.unsafe_split_with_sizes_symint(SymIntArrayRef split_sizes, long dim)
TensorVector	Tensor.unsafe_split_with_sizes(long... split_sizes)
TensorVector	Tensor.unsafe_split_with_sizes(long[] split_sizes, long dim)
TensorVector	Tensor.unsafe_split_with_sizes(LongArrayRef split_sizes)
TensorVector	Tensor.unsafe_split_with_sizes(LongArrayRef split_sizes, long dim)
TensorVector	Tensor.unsafe_split(long split_size)
TensorVector	Tensor.unsafe_split(long split_size, long dim)
TensorVector	StringTensorDict.values() Returns a newly allocated vector and copies all values from this OrderedDict into the vector.
TensorVector	ParameterDictImpl.values() Return the Values in the dict
TensorVector	TensorArrayRef.vec() \} \name Expensive Operations \{
TensorVector	TensorList.vec()
TensorVector	Tensor.vsplit(long... indices)
TensorVector	Tensor.vsplit(long sections)
TensorVector	Tensor.vsplit(LongArrayRef indices)

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

Modifier and Type	Method and Description
void	Tensor.__dispatch__backward(TensorVector inputs)
void	Tensor.__dispatch__backward(TensorVector inputs, TensorOptional gradient, BoolOptional retain_graph, boolean create_graph)
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)
void	Optimizer.add_parameters(TensorVector parameters) Adds the given vector of parameters to the optimizer's parameter list.
TensorVector	Node.apply_with_saved(TensorVector inputs, SwapSavedVariables saved)
TensorVector	FunctionPreHook.apply(TensorVector grads)
TensorVector	Node.apply(TensorVector inputs) Evaluates the function on the given inputs and returns the result of the function call.
TensorVector	FunctionPostHook.apply(TensorVector outputs, TensorVector inputs)
void	AutogradContext.mark_dirty(TensorVector inputs) Marks variables in the list as modified in an in-place operation.
void	AutogradContext.mark_non_differentiable(TensorVector outputs) Marks outputs in the list as not requiring gradients.
TensorVectorOptional	TensorVectorOptional.put(TensorVector value)
TensorArrayRefOptional	TensorArrayRefOptional.put(TensorVector value)
TensorVector	TensorVector.put(TensorVector x)
void	AutogradContext.save_for_backward(TensorVector to_save) Saves the list of variables for a future call to backward.
JitNode	JitNode.ts_(Symbol name, TensorVector v)

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

Constructor and Description
Adagrad(TensorVector params)
Adagrad(TensorVector params, AdagradOptions defaults)
Adam(TensorVector params)
Adam(TensorVector params, AdamOptions defaults)
AdamW(TensorVector params)
AdamW(TensorVector params, AdamWOptions defaults)
LBFGS(TensorVector params)
LBFGS(TensorVector params, LBFGSOptions defaults)
OptimizerParamGroup(TensorVector params)
OptimizerParamGroup(TensorVector params, OptimizerOptions options)
Pickler(PickleWriter writer, TensorVector tensor_table, TypeRenamer type_renamer, SharedClassTypeVector memoized_class_types)
Pickler(PickleWriter writer, TensorVector tensor_table, TypeRenamer type_renamer, SharedClassTypeVector memoized_class_types, TensorIdGetter get_tensor_id, boolean tag_aggregates)
RMSprop(TensorVector params)
RMSprop(TensorVector params, RMSpropOptions defaults)
SGD(TensorVector params, SGDOptions defaults)
T_TensorTensorTensorTensorVector_T(Tensor value0, Tensor value1, Tensor value2, TensorVector value3)
T_TensorTensorVector_T(Tensor value0, TensorVector value1)
T_TensorTensorVectorTensorVector_T(Tensor value0, TensorVector value1, TensorVector value2)
TensorArrayRef(TensorVector vec) Construct an ArrayRef from a std::vector.
TensorArrayRefOptional(TensorVector value)
TensorDataset(TensorVector tensors) Creates a TensorDataset from a vector of tensors.
TensorList(TensorVector initial_values)
TensorVectorOptional(TensorVector value)

Uses of TensorVector in org.bytedeco.pytorch.global

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

Modifier and Type	Method and Description
static TensorVector	torch.align_tensors(TensorArrayRef tensors)
static TensorVector	torch.align_tensors(TensorVector tensors)
static TensorVector	torch.atleast_1d(TensorArrayRef tensors)
static TensorVector	torch.atleast_1d(TensorVector tensors)
static TensorVector	torch.atleast_2d(TensorArrayRef tensors)
static TensorVector	torch.atleast_2d(TensorVector tensors)
static TensorVector	torch.atleast_3d(TensorArrayRef tensors)
static TensorVector	torch.atleast_3d(TensorVector tensors)
static TensorVector	torch.broadcast_tensors(TensorArrayRef tensors)
static TensorVector	torch.broadcast_tensors(TensorVector tensors)
static TensorVector	torch.chunk(Tensor self, long chunks)
static TensorVector	torch.chunk(Tensor self, long chunks, long dim)
static TensorVector	torch.dequantize(TensorArrayRef tensors)
static TensorVector	torch.dequantize(TensorVector tensors)
static TensorVector	torch.dsplit(Tensor self, long... indices)
static TensorVector	torch.dsplit(Tensor self, long sections)
static TensorVector	torch.dsplit(Tensor self, LongArrayRef indices)
static TensorVector	torch.expand_outplace(TensorArrayRef to_expand)
static TensorVector	torch.expand_outplace(TensorVector to_expand)
static TensorVector	torch.grad(TensorVector outputs, TensorVector inputs)
static TensorVector	torch.grad(TensorVector outputs, TensorVector inputs, TensorVector grad_outputs, BoolOptional retain_graph, boolean create_graph, boolean allow_unused) Computes and returns the sum of gradients of outputs with respect to the inputs.
static TensorVector	torch.gradient(Tensor self)
static TensorVector	torch.gradient(Tensor self, long... dim)
static TensorVector	torch.gradient(Tensor self, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, LongArrayRef dim)
static TensorVector	torch.gradient(Tensor self, LongArrayRef dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, long... dim)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, LongArrayRef dim)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, LongArrayRef dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, LongOptional dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, Scalar spacing, long... dim)
static TensorVector	torch.gradient(Tensor self, Scalar spacing, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, Scalar spacing, LongArrayRef dim)
static TensorVector	torch.gradient(Tensor self, Scalar spacing, LongArrayRef dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, ScalarOptional spacing, LongOptional dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing, LongArrayRef dim)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing, LongArrayRef dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing, LongOptional dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, TensorVector spacing)
static TensorVector	torch.gradient(Tensor self, TensorVector spacing, long... dim)
static TensorVector	torch.gradient(Tensor self, TensorVector spacing, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, TensorVector spacing, LongOptional dim, long edge_order)
static TensorVector	torch.hsplit(Tensor self, long... indices)
static TensorVector	torch.hsplit(Tensor self, long sections)
static TensorVector	torch.hsplit(Tensor self, LongArrayRef indices)
static TensorVector	torch.meshgrid(TensorArrayRef tensors)
static TensorVector	torch.meshgrid(TensorArrayRef tensors, BytePointer indexing)
static TensorVector	torch.meshgrid(TensorVector tensors)
static TensorVector	torch.meshgrid(TensorVector tensors, String indexing)
static TensorVector	torch.nonzero_numpy(Tensor self)
static TensorVector	torch.quantize_per_tensor(TensorArrayRef tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype)
static TensorVector	torch.quantize_per_tensor(TensorVector tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype)
static TensorVector	torch.split_copy_symint(Tensor self, SymInt split_size)
static TensorVector	torch.split_copy_symint(Tensor self, SymInt split_size, long dim)
static TensorVector	torch.split_copy(Tensor self, long split_size)
static TensorVector	torch.split_copy(Tensor self, long split_size, long dim)
static TensorVector	torch.split_symint(Tensor self, SymInt split_size)
static TensorVector	torch.split_symint(Tensor self, SymIntArrayRef split_size)
static TensorVector	torch.split_symint(Tensor self, SymIntArrayRef split_size, long dim)
static TensorVector	torch.split_symint(Tensor self, SymInt split_size, long dim)
static TensorVector	torch.split_with_sizes_copy_symint(Tensor self, SymIntArrayRef split_sizes)
static TensorVector	torch.split_with_sizes_copy_symint(Tensor self, SymIntArrayRef split_sizes, long dim)
static TensorVector	torch.split_with_sizes_copy(Tensor self, long... split_sizes)
static TensorVector	torch.split_with_sizes_copy(Tensor self, long[] split_sizes, long dim)
static TensorVector	torch.split_with_sizes_copy(Tensor self, LongArrayRef split_sizes)
static TensorVector	torch.split_with_sizes_copy(Tensor self, LongArrayRef split_sizes, long dim)
static TensorVector	torch.split_with_sizes_symint(Tensor self, SymIntArrayRef split_sizes)
static TensorVector	torch.split_with_sizes_symint(Tensor self, SymIntArrayRef split_sizes, long dim)
static TensorVector	torch.split_with_sizes(Tensor self, long... split_sizes)
static TensorVector	torch.split_with_sizes(Tensor self, long[] split_sizes, long dim)
static TensorVector	torch.split_with_sizes(Tensor self, LongArrayRef split_sizes)
static TensorVector	torch.split_with_sizes(Tensor self, LongArrayRef split_sizes, long dim)
static TensorVector	torch.split(Tensor self, long... split_size)
static TensorVector	torch.split(Tensor self, long split_size)
static TensorVector	torch.split(Tensor self, long[] split_size, long dim)
static TensorVector	torch.split(Tensor self, LongArrayRef split_size)
static TensorVector	torch.split(Tensor self, LongArrayRef split_size, long dim)
static TensorVector	torch.split(Tensor self, long split_size, long dim)
static TensorVector	torch.tensor_split_symint(Tensor self, SymInt sections)
static TensorVector	torch.tensor_split_symint(Tensor self, SymIntArrayRef indices)
static TensorVector	torch.tensor_split_symint(Tensor self, SymIntArrayRef indices, long dim)
static TensorVector	torch.tensor_split_symint(Tensor self, SymInt sections, long dim)
static TensorVector	torch.tensor_split(Tensor self, long... indices)
static TensorVector	torch.tensor_split(Tensor self, long sections)
static TensorVector	torch.tensor_split(Tensor self, long[] indices, long dim)
static TensorVector	torch.tensor_split(Tensor self, LongArrayRef indices)
static TensorVector	torch.tensor_split(Tensor self, LongArrayRef indices, long dim)
static TensorVector	torch.tensor_split(Tensor self, long sections, long dim)
static TensorVector	torch.tensor_split(Tensor self, Tensor tensor_indices_or_sections)
static TensorVector	torch.tensor_split(Tensor self, Tensor tensor_indices_or_sections, long dim)
static TensorVector	torch.unbind_copy(Tensor self)
static TensorVector	torch.unbind_copy(Tensor self, long dim)
static TensorVector	torch.unbind(Tensor self)
static TensorVector	torch.unbind(Tensor self, Dimname dim)
static TensorVector	torch.unbind(Tensor self, long dim)
static TensorVector	torch.unflatten_dense_tensors(Tensor flat, TensorArrayRef tensors)
static TensorVector	torch.unflatten_dense_tensors(Tensor flat, TensorVector tensors)
static TensorVector	torch.unsafe_chunk(Tensor self, long chunks)
static TensorVector	torch.unsafe_chunk(Tensor self, long chunks, long dim)
static TensorVector	torch.unsafe_split_symint(Tensor self, SymInt split_size)
static TensorVector	torch.unsafe_split_symint(Tensor self, SymInt split_size, long dim)
static TensorVector	torch.unsafe_split_with_sizes_symint(Tensor self, SymIntArrayRef split_sizes)
static TensorVector	torch.unsafe_split_with_sizes_symint(Tensor self, SymIntArrayRef split_sizes, long dim)
static TensorVector	torch.unsafe_split_with_sizes(Tensor self, long... split_sizes)
static TensorVector	torch.unsafe_split_with_sizes(Tensor self, long[] split_sizes, long dim)
static TensorVector	torch.unsafe_split_with_sizes(Tensor self, LongArrayRef split_sizes)
static TensorVector	torch.unsafe_split_with_sizes(Tensor self, LongArrayRef split_sizes, long dim)
static TensorVector	torch.unsafe_split(Tensor self, long split_size)
static TensorVector	torch.unsafe_split(Tensor self, long split_size, long dim)
static TensorVector	torch.vsplit(Tensor self, long... indices)
static TensorVector	torch.vsplit(Tensor self, long sections)
static TensorVector	torch.vsplit(Tensor self, LongArrayRef indices)
static TensorVector	torch.where(Tensor condition)

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

Modifier and Type	Method and Description
static TensorVector	torch.align_tensors(TensorVector tensors)
static boolean	torch.any_variable_requires_grad(TensorVector variables) Return true if any of the variables in the list require a gradient.
static Tensor	torch.applySlicing(Tensor self, TensorIndexArrayRef indices, TensorVector outIndices, boolean disable_slice_optimization, Device self_device, SymIntArrayRefOptional self_sizes)
static Tensor	torch.applySlicing(Tensor self, TensorIndexVector indices, TensorVector outIndices, boolean disable_slice_optimization, Device self_device, SymIntArrayRefOptional self_sizes)
static Tensor	torch.as_nested_tensor(TensorVector list)
static Tensor	torch.as_nested_tensor(TensorVector list, ScalarTypeOptional dtype, DeviceOptional device)
static TensorVector	torch.atleast_1d(TensorVector tensors)
static TensorVector	torch.atleast_2d(TensorVector tensors)
static TensorVector	torch.atleast_3d(TensorVector tensors)
static void	torch.backward(TensorVector tensors)
static void	torch.backward(TensorVector tensors, TensorVector grad_tensors, BoolOptional retain_graph, boolean create_graph, TensorVector inputs) Computes the sum of gradients of given tensors with respect to graph leaves.
static Tensor	torch.block_diag_out(Tensor out, TensorVector tensors)
static Tensor	torch.block_diag_outf(TensorVector tensors, Tensor out)
static Tensor	torch.block_diag(TensorVector tensors)
static TensorVector	torch.broadcast_tensors(TensorVector tensors)
static Tensor	torch.cartesian_prod(TensorVector tensors)
static Tensor	torch.cat_out(Tensor out, TensorVector tensors)
static Tensor	torch.cat_out(Tensor out, TensorVector tensors, Dimname dim)
static Tensor	torch.cat_out(Tensor out, TensorVector tensors, long dim)
static Tensor	torch.cat_outf(TensorVector tensors, Dimname dim, Tensor out)
static Tensor	torch.cat_outf(TensorVector tensors, long dim, Tensor out)
static Tensor	torch.cat(TensorVector tensors)
static Tensor	torch.cat(TensorVector tensors, Dimname dim)
static Tensor	torch.cat(TensorVector tensors, long dim)
static Tensor	torch.chain_matmul_out(Tensor out, TensorVector matrices)
static Tensor	torch.chain_matmul_outf(TensorVector matrices, Tensor out)
static Tensor	torch.chain_matmul(TensorVector matrices)
static void	torch.checkBackend(String c, TensorVector t, torch.Backend backend)
static void	torch.checkDeviceType(String c, TensorVector tensors, torch.DeviceType device_type)
static TensorImplVector	torch.checked_dense_tensor_list_unwrap(TensorVector tensors, String name, int pos, byte device_type, torch.ScalarType scalar_type)
static void	torch.checkLayout(String c, TensorVector tensors, torch.Layout layout)
static double	torch.clip_grad_norm_(TensorVector parameters, double max_norm)
static double	torch.clip_grad_norm_(TensorVector parameters, double max_norm, double norm_type, boolean error_if_nonfinite) A ModuleHolder subclass for UpsampleImpl.
static void	torch.clip_grad_value_(TensorVector parameters, double clip_value)
static Tensor	torch.column_stack_out(Tensor out, TensorVector tensors)
static Tensor	torch.column_stack_outf(TensorVector tensors, Tensor out)
static Tensor	torch.column_stack(TensorVector tensors)
static Tensor	torch.concat_out(Tensor out, TensorVector tensors)
static Tensor	torch.concat_out(Tensor out, TensorVector tensors, Dimname dim)
static Tensor	torch.concat_out(Tensor out, TensorVector tensors, long dim)
static Tensor	torch.concat_outf(TensorVector tensors, Dimname dim, Tensor out)
static Tensor	torch.concat_outf(TensorVector tensors, long dim, Tensor out)
static Tensor	torch.concat(TensorVector tensors)
static Tensor	torch.concat(TensorVector tensors, Dimname dim)
static Tensor	torch.concat(TensorVector tensors, long dim)
static Tensor	torch.concatenate_out(Tensor out, TensorVector tensors)
static Tensor	torch.concatenate_out(Tensor out, TensorVector tensors, Dimname dim)
static Tensor	torch.concatenate_out(Tensor out, TensorVector tensors, long dim)
static Tensor	torch.concatenate_outf(TensorVector tensors, Dimname dim, Tensor out)
static Tensor	torch.concatenate_outf(TensorVector tensors, long dim, Tensor out)
static Tensor	torch.concatenate(TensorVector tensors)
static Tensor	torch.concatenate(TensorVector tensors, Dimname dim)
static Tensor	torch.concatenate(TensorVector tensors, long dim)
static void	torch.dequantize_out(TensorVector out, TensorVector tensors)
static void	torch.dequantize_outf(TensorVector tensors, TensorVector out)
static TensorVector	torch.dequantize(TensorVector tensors)
static DeviceOptional	torch.device_of(TensorVector t)
static Tensor	torch.dispatch_index_put_(Tensor self, TensorVector indices, Tensor value)
static Tensor	torch.dispatch_index(Tensor self, TensorVector indices)
static Tensor	torch.dstack_out(Tensor out, TensorVector tensors)
static Tensor	torch.dstack_outf(TensorVector tensors, Tensor out)
static Tensor	torch.dstack(TensorVector tensors)
static Tensor	torch.einsum(String equation, TensorVector tensors)
static Tensor	torch.einsum(String equation, TensorVector tensors, long... path)
static TensorVector	torch.expand_outplace(TensorVector to_expand)
static Tensor	torch.flatten_dense_tensors(TensorVector tensors)
static TensorVector	torch.grad(TensorVector outputs, TensorVector inputs)
static TensorVector	torch.grad(TensorVector outputs, TensorVector inputs, TensorVector grad_outputs, BoolOptional retain_graph, boolean create_graph, boolean allow_unused) Computes and returns the sum of gradients of outputs with respect to the inputs.
static TensorVector	torch.gradient(Tensor self, TensorVector spacing)
static TensorVector	torch.gradient(Tensor self, TensorVector spacing, long... dim)
static TensorVector	torch.gradient(Tensor self, TensorVector spacing, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, TensorVector spacing, LongOptional dim, long edge_order)
static T_TensorTensor_T	torch.gru(Tensor data, Tensor batch_sizes, Tensor hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static T_TensorTensor_T	torch.gru(Tensor input, Tensor hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, long[] dim_ptr, long[] specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, SymIntArrayRefOptional prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongBuffer dim_ptr, LongBuffer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, SymIntArrayRefOptional prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongPointer dim_ptr, LongPointer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, SymIntArrayRefOptional prev_dim_result_sizes)
static boolean	torch.has_names(TensorVector tensors)
static T_TensorTensorVector_T	torch.histogramdd(Tensor self, TensorVector bins)
static T_TensorTensorVector_T	torch.histogramdd(Tensor self, TensorVector bins, double[] range, TensorOptional weight, boolean density)
static Tensor	torch.hstack_out(Tensor out, TensorVector tensors)
static Tensor	torch.hstack_outf(TensorVector tensors, Tensor out)
static Tensor	torch.hstack(TensorVector tensors)
static Tensor	torch.linalg_multi_dot_out(Tensor out, TensorVector tensors)
static Tensor	torch.linalg_multi_dot_outf(TensorVector tensors, Tensor out)
static Tensor	torch.linalg_multi_dot(TensorVector tensors)
static T_TensorTensor_T	torch.lstm_cell(Tensor input, TensorVector hx, Tensor w_ih, Tensor w_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, 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, 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, TensorVector hx, TensorVector 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, 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 long	torch.maybe_wrap_dim(long dim, TensorVector tensors)
static TensorVector	torch.meshgrid(TensorVector tensors)
static TensorVector	torch.meshgrid(TensorVector tensors, String indexing)
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, 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, 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, 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, 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, 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.multi_dot_out(TensorVector tensors, Tensor result)
static Tensor	torch.multi_dot(TensorVector tensors)
static Tensor	torch.nested_tensor(TensorVector nested_tensor_data)
static Tensor	torch.nested_tensor(TensorVector nested_tensor_data, TensorOptions options)
static PackedSequence	torch.pack_sequence(TensorVector sequences)
static PackedSequence	torch.pack_sequence(TensorVector sequences, boolean enforce_sorted)
static Tensor	torch.pad_sequence(TensorVector sequences)
static Tensor	torch.pad_sequence(TensorVector sequences, boolean batch_first, double padding_value)
static Tensor	torch.parameters_to_vector(TensorVector parameters)
static BytePointer	torch.pickle(IValue ivalue, TensorVector tensor_table) Save a torch::IValue in a format compatible with Python's pickle module If present, tensor_table is a pointer to a table in which tensors that are contained within ivalue are stored, and the bytes returned by the pickler will only include references to these tensors in the table.
static void	torch.pickle(PickleWriter writer, IValue ivalue, TensorVector tensor_table) Pickle an IValue by calling a function to handle writing the data.
static void	torch.quantize_per_tensor_out(TensorVector out, TensorVector tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype)
static void	torch.quantize_per_tensor_outf(TensorVector tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype, TensorVector out)
static TensorVector	torch.quantize_per_tensor(TensorVector tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype)
static T_TensorTensor_T	torch.quantized_lstm_cell(Tensor input, TensorVector hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh)
static void	torch.recordTensorIndex(Tensor tensor, TensorVector outIndices, long[] dim_ptr)
static void	torch.recordTensorIndex(Tensor tensor, TensorVector outIndices, LongBuffer dim_ptr)
static void	torch.recordTensorIndex(Tensor tensor, TensorVector outIndices, LongPointer dim_ptr)
static T_TensorTensor_T	torch.rnn_relu(Tensor data, Tensor batch_sizes, Tensor hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static T_TensorTensor_T	torch.rnn_relu(Tensor input, Tensor hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static T_TensorTensor_T	torch.rnn_tanh(Tensor data, Tensor batch_sizes, Tensor hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static T_TensorTensor_T	torch.rnn_tanh(Tensor input, Tensor hx, TensorVector params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static Tensor	torch.row_stack_out(Tensor out, TensorVector tensors)
static Tensor	torch.row_stack_outf(TensorVector tensors, Tensor out)
static Tensor	torch.row_stack(TensorVector tensors)
static void	torch.split_copy_out(TensorVector out, Tensor self, long split_size)
static void	torch.split_copy_out(TensorVector out, Tensor self, long split_size, long dim)
static void	torch.split_copy_outf(Tensor self, long split_size, long dim, TensorVector out)
static void	torch.split_copy_symint_out(TensorVector out, Tensor self, SymInt split_size)
static void	torch.split_copy_symint_out(TensorVector out, Tensor self, SymInt split_size, long dim)
static void	torch.split_copy_symint_outf(Tensor self, SymInt split_size, long dim, TensorVector out)
static void	torch.split_with_sizes_copy_out(TensorVector out, Tensor self, long... split_sizes)
static void	torch.split_with_sizes_copy_out(TensorVector out, Tensor self, long[] split_sizes, long dim)
static void	torch.split_with_sizes_copy_outf(Tensor self, long[] split_sizes, long dim, TensorVector out)
static void	torch.split_with_sizes_copy_symint_out(TensorVector out, Tensor self, SymIntArrayRef split_sizes)
static void	torch.split_with_sizes_copy_symint_out(TensorVector out, Tensor self, SymIntArrayRef split_sizes, long dim)
static void	torch.split_with_sizes_copy_symint_outf(Tensor self, SymIntArrayRef split_sizes, long dim, TensorVector out)
static Tensor	torch.stack_out(Tensor out, TensorVector tensors)
static Tensor	torch.stack_out(Tensor out, TensorVector tensors, long dim)
static Tensor	torch.stack_outf(TensorVector tensors, long dim, Tensor out)
static Tensor	torch.stack(TensorVector tensors)
static Tensor	torch.stack(TensorVector tensors, long dim)
static TensorOptionalVector	torch.to_optional(TensorVector output)
static TensorOptionalList	torch.typeConvertIndices(Tensor arg0, TensorVector indices)
static void	torch.unbind_copy_out(TensorVector out, Tensor self)
static void	torch.unbind_copy_out(TensorVector out, Tensor self, long dim)
static void	torch.unbind_copy_outf(Tensor self, long dim, TensorVector out)
static TensorVector	torch.unflatten_dense_tensors(Tensor flat, TensorVector tensors)
static IValue	torch.unpickle(PickleReader reader, TypeResolver type_resolver, TensorVector tensor_table)
static IValue	torch.unpickle(PickleReader reader, TypeResolver type_resolver, TensorVector tensor_table, TypeParser type_parser)
static IValue	torch.unpickle(String data, long size, TypeResolver type_resolver, TensorVector tensor_table, TypeParser type_parser)
static void	torch.unsafe_split_out(TensorVector out, Tensor self, long split_size)
static void	torch.unsafe_split_out(TensorVector out, Tensor self, long split_size, long dim)
static void	torch.unsafe_split_outf(Tensor self, long split_size, long dim, TensorVector out)
static void	torch.unsafe_split_symint_out(TensorVector out, Tensor self, SymInt split_size)
static void	torch.unsafe_split_symint_out(TensorVector out, Tensor self, SymInt split_size, long dim)
static void	torch.unsafe_split_symint_outf(Tensor self, SymInt split_size, long dim, TensorVector out)
static void	torch.unsafe_split_with_sizes_out(TensorVector out, Tensor self, long... split_sizes)
static void	torch.unsafe_split_with_sizes_out(TensorVector out, Tensor self, long[] split_sizes, long dim)
static void	torch.unsafe_split_with_sizes_outf(Tensor self, long[] split_sizes, long dim, TensorVector out)
static void	torch.unsafe_split_with_sizes_symint_out(TensorVector out, Tensor self, SymIntArrayRef split_sizes)
static void	torch.unsafe_split_with_sizes_symint_out(TensorVector out, Tensor self, SymIntArrayRef split_sizes, long dim)
static void	torch.unsafe_split_with_sizes_symint_outf(Tensor self, SymIntArrayRef split_sizes, long dim, TensorVector out)
static void	torch.vector_to_parameters(Tensor vec, TensorVector parameters)
static Tensor	torch.vstack_out(Tensor out, TensorVector tensors)
static Tensor	torch.vstack_outf(TensorVector tensors, Tensor out)
static Tensor	torch.vstack(TensorVector tensors)