| Package | Description |
|---|---|
| org.bytedeco.pytorch | |
| org.bytedeco.pytorch.global |
| Modifier and Type | Method and Description |
|---|---|
BytePointer |
Function.doc_string() |
BytePointer |
StringViewVector.Iterator.get() |
BytePointer |
StringViewOptional.get() |
BytePointer |
StringViewVector.get(long i) |
BytePointer |
TypeMeta.name()
Returns a printable name for the type.
|
BytePointer |
StringCordView.piece(long index) |
BytePointer |
StringCordView.Iterator.rest_line() |
BytePointer |
ConstantString.string_view() |
BytePointer |
SourceRange.token_text() |
BytePointer |
IValue.toStringView() |
BytePointer |
Blob.TypeName()
Returns a printable typename of the blob.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
Context.alertNotDeterministic(BytePointer caller) |
static void |
Context.alertNotDeterministic(String caller) |
IntOptional |
FunctionSchema.argumentIndexWithName(BytePointer name) |
IntOptional |
FunctionSchema.argumentIndexWithName(String name) |
boolean |
SchemaInfo.has_argument(BytePointer name) |
boolean |
SchemaInfo.has_argument(String name) |
Tensor |
Tensor.index_reduce_(long dim,
Tensor index,
Tensor source,
BytePointer reduce) |
Tensor |
Tensor.index_reduce_(long dim,
Tensor index,
Tensor source,
BytePointer reduce,
boolean include_self) |
Tensor |
Tensor.index_reduce_(long dim,
Tensor index,
Tensor source,
String reduce) |
Tensor |
Tensor.index_reduce_(long dim,
Tensor index,
Tensor source,
String reduce,
boolean include_self) |
Tensor |
Tensor.index_reduce(long dim,
Tensor index,
Tensor source,
BytePointer reduce) |
Tensor |
Tensor.index_reduce(long dim,
Tensor index,
Tensor source,
BytePointer reduce,
boolean include_self) |
Tensor |
Tensor.index_reduce(long dim,
Tensor index,
Tensor source,
String reduce) |
Tensor |
Tensor.index_reduce(long dim,
Tensor index,
Tensor source,
String reduce,
boolean include_self) |
StringViewVector.Iterator |
StringViewVector.insert(StringViewVector.Iterator pos,
BytePointer value) |
boolean |
FunctionSchema.is_mutable(BytePointer name) |
boolean |
SchemaInfo.is_mutable(BytePointer name) |
boolean |
FunctionSchema.is_mutable(String name) |
boolean |
SchemaInfo.is_mutable(String name) |
Tensor |
Tensor.nanquantile(double q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
Tensor |
Tensor.nanquantile(double q,
LongOptional dim,
boolean keepdim,
String interpolation) |
Tensor |
Tensor.nanquantile(Tensor q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
Tensor |
Tensor.nanquantile(Tensor q,
LongOptional dim,
boolean keepdim,
String interpolation) |
StringViewOptional |
StringViewOptional.put(BytePointer value) |
StringViewVector |
StringViewVector.put(long i,
String value) |
StringViewOptional |
StringViewOptional.put(String value) |
Tensor |
Tensor.quantile(double q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
Tensor |
Tensor.quantile(double q,
LongOptional dim,
boolean keepdim,
String interpolation) |
Tensor |
Tensor.quantile(Tensor q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
Tensor |
Tensor.quantile(Tensor q,
LongOptional dim,
boolean keepdim,
String interpolation) |
Tensor |
Tensor.scatter_(long dim,
Tensor index,
Scalar value,
BytePointer reduce) |
Tensor |
Tensor.scatter_(long dim,
Tensor index,
Scalar value,
String reduce) |
Tensor |
Tensor.scatter_(long dim,
Tensor index,
Tensor src,
BytePointer reduce) |
Tensor |
Tensor.scatter_(long dim,
Tensor index,
Tensor src,
String reduce) |
Tensor |
Tensor.scatter_reduce_(long dim,
Tensor index,
Tensor src,
BytePointer reduce) |
Tensor |
Tensor.scatter_reduce_(long dim,
Tensor index,
Tensor src,
BytePointer reduce,
boolean include_self) |
Tensor |
Tensor.scatter_reduce_(long dim,
Tensor index,
Tensor src,
String reduce) |
Tensor |
Tensor.scatter_reduce_(long dim,
Tensor index,
Tensor src,
String reduce,
boolean include_self) |
Tensor |
Tensor.scatter_reduce(long dim,
Tensor index,
Tensor src,
BytePointer reduce) |
Tensor |
Tensor.scatter_reduce(long dim,
Tensor index,
Tensor src,
BytePointer reduce,
boolean include_self) |
Tensor |
Tensor.scatter_reduce(long dim,
Tensor index,
Tensor src,
String reduce) |
Tensor |
Tensor.scatter_reduce(long dim,
Tensor index,
Tensor src,
String reduce,
boolean include_self) |
Tensor |
Tensor.scatter(long dim,
Tensor index,
Scalar value,
BytePointer reduce) |
Tensor |
Tensor.scatter(long dim,
Tensor index,
Scalar value,
String reduce) |
Tensor |
Tensor.scatter(long dim,
Tensor index,
Tensor src,
BytePointer reduce) |
Tensor |
Tensor.scatter(long dim,
Tensor index,
Tensor src,
String reduce) |
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) |
| Constructor and Description |
|---|
Source(BytePointer text_view) |
Source(BytePointer text_view,
StringOptional filename,
long starting_line_no,
SourceRangeUnpickler gen_ranges,
Source.CopiesString copies_str) |
Source(String text_view) |
Source(String text_view,
StringOptional filename,
long starting_line_no,
SourceRangeUnpickler gen_ranges,
int copies_str) |
| Modifier and Type | Method and Description |
|---|---|
static BytePointer |
torch.extract(BytePointer prefix,
BytePointer suffix,
BytePointer str) |
static String |
torch.extract(String prefix,
String suffix,
String str) |
static String |
torch.padding_mode_string(int m) |
static BytePointer |
torch.padding_mode_string(torch.padding_mode m) |
| Modifier and Type | Method and Description |
|---|---|
static boolean |
torch.allowlist_contains(BytePointer allowlist,
BytePointer item)
This header implements functionality to build PyTorch with only a certain
set of operators (+ dependencies) included.
|
static boolean |
torch.allowlist_contains(BytePointer allowlist,
BytePointer item)
This header implements functionality to build PyTorch with only a certain
set of operators (+ dependencies) included.
|
static boolean |
torch.allowlist_contains(String allowlist,
String item) |
static boolean |
torch.allowlist_contains(String allowlist,
String item) |
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.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.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 crc64_t |
torch.crc64(BytePointer str) |
static crc64_t |
torch.crc64(String str) |
static boolean |
torch.custom_class_allowlist_check(BytePointer custom_class_name) |
static boolean |
torch.custom_class_allowlist_check(String custom_class_name) |
static PointerPointer<Tensor> |
torch.eigh_out(Tensor eigvals,
Tensor eigvecs,
Tensor self,
BytePointer uplo) |
static PointerPointer<Tensor> |
torch.eigh_out(Tensor eigvals,
Tensor eigvecs,
Tensor self,
String uplo) |
static T_TensorTensor_T |
torch.eigh(Tensor self,
BytePointer uplo) |
static T_TensorTensor_T |
torch.eigh(Tensor self,
String uplo) |
static Tensor |
torch.eigvalsh_out(Tensor result,
Tensor self,
BytePointer uplo) |
static Tensor |
torch.eigvalsh_out(Tensor result,
Tensor self,
String uplo) |
static Tensor |
torch.eigvalsh(Tensor self,
BytePointer uplo) |
static Tensor |
torch.eigvalsh(Tensor self,
String uplo) |
static Tensor |
torch.einsum(BytePointer equation,
TensorArrayRef tensors) |
static Tensor |
torch.einsum(BytePointer equation,
TensorArrayRef tensors,
LongArrayRefOptional path) |
static Tensor |
torch.einsum(String equation,
TensorVector tensors) |
static Tensor |
torch.einsum(String equation,
TensorVector tensors,
long... path) |
static BytePointer |
torch.extract(BytePointer prefix,
BytePointer suffix,
BytePointer str) |
static BytePointer |
torch.extract(BytePointer prefix,
BytePointer suffix,
BytePointer str) |
static BytePointer |
torch.extract(BytePointer prefix,
BytePointer suffix,
BytePointer str) |
static String |
torch.extract(String prefix,
String suffix,
String str) |
static String |
torch.extract(String prefix,
String suffix,
String str) |
static String |
torch.extract(String prefix,
String suffix,
String str) |
static Tensor |
torch.from_file_out(Tensor out,
BytePointer filename) |
static Tensor |
torch.from_file_out(Tensor out,
BytePointer filename,
BoolOptional shared,
LongOptional size) |
static Tensor |
torch.from_file_out(Tensor out,
String filename) |
static Tensor |
torch.from_file_out(Tensor out,
String filename,
BoolOptional shared,
LongOptional size) |
static Tensor |
torch.from_file_outf(BytePointer filename,
BoolOptional shared,
LongOptional size,
Tensor out) |
static Tensor |
torch.from_file_outf(String filename,
BoolOptional shared,
LongOptional size,
Tensor out) |
static Tensor |
torch.from_file(BytePointer filename) |
static Tensor |
torch.from_file(BytePointer filename,
BoolOptional shared,
LongOptional size,
ScalarTypeOptional dtype,
LayoutOptional layout,
DeviceOptional device,
BoolOptional pin_memory) |
static Tensor |
torch.from_file(BytePointer filename,
BoolOptional shared,
LongOptional size,
TensorOptions options) |
static Tensor |
torch.from_file(String filename) |
static Tensor |
torch.from_file(String filename,
BoolOptional shared,
LongOptional size,
ScalarTypeOptional dtype,
LayoutOptional layout,
DeviceOptional device,
BoolOptional pin_memory) |
static Tensor |
torch.from_file(String filename,
BoolOptional shared,
LongOptional size,
TensorOptions options) |
static Tensor |
torch.gelu_(Tensor self,
BytePointer approximate) |
static Tensor |
torch.gelu_(Tensor self,
String approximate) |
static Tensor |
torch.gelu_backward_out(Tensor grad_input,
Tensor grad_output,
Tensor self,
BytePointer approximate) |
static Tensor |
torch.gelu_backward_out(Tensor grad_input,
Tensor grad_output,
Tensor self,
String approximate) |
static Tensor |
torch.gelu_backward_outf(Tensor grad_output,
Tensor self,
BytePointer approximate,
Tensor grad_input) |
static Tensor |
torch.gelu_backward_outf(Tensor grad_output,
Tensor self,
String approximate,
Tensor grad_input) |
static Tensor |
torch.gelu_backward(Tensor grad_output,
Tensor self,
BytePointer approximate) |
static Tensor |
torch.gelu_backward(Tensor grad_output,
Tensor self,
String approximate) |
static Tensor |
torch.gelu_out(Tensor out,
Tensor self,
BytePointer approximate) |
static Tensor |
torch.gelu_out(Tensor out,
Tensor self,
String approximate) |
static Tensor |
torch.gelu_outf(Tensor self,
BytePointer approximate,
Tensor out) |
static Tensor |
torch.gelu_outf(Tensor self,
String approximate,
Tensor out) |
static Tensor |
torch.gelu(Tensor self,
BytePointer approximate) |
static Tensor |
torch.gelu(Tensor self,
String approximate) |
static Tensor |
torch.index_reduce_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor source,
BytePointer reduce) |
static Tensor |
torch.index_reduce_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor source,
BytePointer reduce,
boolean include_self) |
static Tensor |
torch.index_reduce_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor source,
String reduce) |
static Tensor |
torch.index_reduce_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor source,
String reduce,
boolean include_self) |
static Tensor |
torch.index_reduce_outf(Tensor self,
long dim,
Tensor index,
Tensor source,
BytePointer reduce,
boolean include_self,
Tensor out) |
static Tensor |
torch.index_reduce_outf(Tensor self,
long dim,
Tensor index,
Tensor source,
String reduce,
boolean include_self,
Tensor out) |
static Tensor |
torch.index_reduce(Tensor self,
long dim,
Tensor index,
Tensor source,
BytePointer reduce) |
static Tensor |
torch.index_reduce(Tensor self,
long dim,
Tensor index,
Tensor source,
BytePointer reduce,
boolean include_self) |
static Tensor |
torch.index_reduce(Tensor self,
long dim,
Tensor index,
Tensor source,
String reduce) |
static Tensor |
torch.index_reduce(Tensor self,
long dim,
Tensor index,
Tensor source,
String reduce,
boolean include_self) |
static Tensor |
torch.linalg_cond_out(Tensor out,
Tensor self,
BytePointer p) |
static Tensor |
torch.linalg_cond_out(Tensor out,
Tensor self,
String p) |
static Tensor |
torch.linalg_cond_outf(Tensor self,
BytePointer p,
Tensor out) |
static Tensor |
torch.linalg_cond_outf(Tensor self,
String p,
Tensor out) |
static Tensor |
torch.linalg_cond(Tensor self,
BytePointer p) |
static Tensor |
torch.linalg_cond(Tensor self,
String p) |
static T_TensorTensor_T |
torch.linalg_eigh_out(Tensor eigvals,
Tensor eigvecs,
Tensor self,
BytePointer UPLO) |
static T_TensorTensor_T |
torch.linalg_eigh_out(Tensor eigvals,
Tensor eigvecs,
Tensor self,
String UPLO) |
static T_TensorTensor_T |
torch.linalg_eigh_outf(Tensor self,
BytePointer UPLO,
Tensor eigvals,
Tensor eigvecs) |
static T_TensorTensor_T |
torch.linalg_eigh_outf(Tensor self,
String UPLO,
Tensor eigvals,
Tensor eigvecs) |
static T_TensorTensor_T |
torch.linalg_eigh(Tensor self,
BytePointer UPLO) |
static T_TensorTensor_T |
torch.linalg_eigh(Tensor self,
String UPLO) |
static Tensor |
torch.linalg_eigvalsh_out(Tensor out,
Tensor self,
BytePointer UPLO) |
static Tensor |
torch.linalg_eigvalsh_out(Tensor out,
Tensor self,
String UPLO) |
static Tensor |
torch.linalg_eigvalsh_outf(Tensor self,
BytePointer UPLO,
Tensor out) |
static Tensor |
torch.linalg_eigvalsh_outf(Tensor self,
String UPLO,
Tensor out) |
static Tensor |
torch.linalg_eigvalsh(Tensor self,
BytePointer UPLO) |
static Tensor |
torch.linalg_eigvalsh(Tensor self,
String UPLO) |
static Tensor |
torch.linalg_matrix_norm_out(Tensor out,
Tensor self,
BytePointer ord,
LongArrayRef dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_matrix_norm_out(Tensor out,
Tensor self,
String ord,
long[] dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_matrix_norm_outf(Tensor self,
BytePointer ord,
LongArrayRef dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.linalg_matrix_norm_outf(Tensor self,
String ord,
long[] dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.linalg_matrix_norm(Tensor self,
BytePointer ord,
LongArrayRef dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_matrix_norm(Tensor self,
String ord,
long[] dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_norm_out(Tensor out,
Tensor self,
BytePointer ord) |
static Tensor |
torch.linalg_norm_out(Tensor out,
Tensor self,
BytePointer ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_norm_out(Tensor out,
Tensor self,
String ord) |
static Tensor |
torch.linalg_norm_out(Tensor out,
Tensor self,
String ord,
long[] dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_norm_outf(Tensor self,
BytePointer ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.linalg_norm_outf(Tensor self,
String ord,
long[] dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.linalg_norm(Tensor self,
BytePointer ord) |
static Tensor |
torch.linalg_norm(Tensor self,
BytePointer ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_norm(Tensor self,
String ord) |
static Tensor |
torch.linalg_norm(Tensor self,
String ord,
long[] dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static T_TensorTensor_T |
torch.linalg_qr_out(Tensor Q,
Tensor R,
Tensor A,
BytePointer mode) |
static T_TensorTensor_T |
torch.linalg_qr_out(Tensor Q,
Tensor R,
Tensor A,
String mode) |
static T_TensorTensor_T |
torch.linalg_qr_outf(Tensor A,
BytePointer mode,
Tensor Q,
Tensor R) |
static T_TensorTensor_T |
torch.linalg_qr_outf(Tensor A,
String mode,
Tensor Q,
Tensor R) |
static T_TensorTensor_T |
torch.linalg_qr(Tensor A,
BytePointer mode) |
static T_TensorTensor_T |
torch.linalg_qr(Tensor A,
String mode) |
static TensorVector |
torch.meshgrid(TensorArrayRef tensors,
BytePointer indexing) |
static TensorVector |
torch.meshgrid(TensorVector tensors,
String indexing) |
static Tensor |
torch.nanquantile_out(Tensor out,
Tensor self,
double q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
static Tensor |
torch.nanquantile_out(Tensor out,
Tensor self,
double q,
LongOptional dim,
boolean keepdim,
String interpolation) |
static Tensor |
torch.nanquantile_out(Tensor out,
Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
static Tensor |
torch.nanquantile_out(Tensor out,
Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
String interpolation) |
static Tensor |
torch.nanquantile_outf(Tensor self,
double q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation,
Tensor out) |
static Tensor |
torch.nanquantile_outf(Tensor self,
double q,
LongOptional dim,
boolean keepdim,
String interpolation,
Tensor out) |
static Tensor |
torch.nanquantile_outf(Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation,
Tensor out) |
static Tensor |
torch.nanquantile_outf(Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
String interpolation,
Tensor out) |
static Tensor |
torch.nanquantile(Tensor self,
double q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
static Tensor |
torch.nanquantile(Tensor self,
double q,
LongOptional dim,
boolean keepdim,
String interpolation) |
static Tensor |
torch.nanquantile(Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
static Tensor |
torch.nanquantile(Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
String interpolation) |
static Tensor |
torch.norm_out(Tensor result,
Tensor self,
BytePointer ord,
LongArrayRefOptional opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static Tensor |
torch.norm_out(Tensor result,
Tensor self,
String ord,
long[] opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static Tensor |
torch.norm(Tensor self,
BytePointer ord,
LongArrayRefOptional opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static Tensor |
torch.norm(Tensor self,
String ord,
long[] opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static boolean |
torch.op_allowlist_check(BytePointer op_name)
Use BUILD_FEATURE_REQUIRED macro in user-code.
|
static boolean |
torch.op_allowlist_check(String op_name) |
static boolean |
torch.op_allowlist_contains_name_in_schema(BytePointer allowlist,
BytePointer schema) |
static boolean |
torch.op_allowlist_contains_name_in_schema(BytePointer allowlist,
BytePointer schema) |
static boolean |
torch.op_allowlist_contains_name_in_schema(String allowlist,
String schema) |
static boolean |
torch.op_allowlist_contains_name_in_schema(String allowlist,
String schema) |
static Tensor |
torch.pad_symint(Tensor self,
SymIntArrayRef pad,
BytePointer mode,
DoubleOptional value) |
static Tensor |
torch.pad_symint(Tensor self,
SymIntArrayRef pad,
String mode,
DoubleOptional value) |
static Tensor |
torch.pad(Tensor self,
long[] pad,
String mode,
DoubleOptional value) |
static Tensor |
torch.pad(Tensor self,
LongArrayRef pad,
BytePointer mode,
DoubleOptional value) |
static void |
torch.printQuotedString(Pointer stmt,
BytePointer str) |
static void |
torch.printQuotedString(Pointer stmt,
String str) |
static PointerPointer<Tensor> |
torch.qr_out(Tensor Q,
Tensor R,
Tensor input,
BytePointer mode) |
static PointerPointer<Tensor> |
torch.qr_out(Tensor Q,
Tensor R,
Tensor input,
String mode) |
static T_TensorTensor_T |
torch.qr(Tensor input,
BytePointer mode) |
static T_TensorTensor_T |
torch.qr(Tensor input,
String mode) |
static Tensor |
torch.quantile_out(Tensor out,
Tensor self,
double q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
static Tensor |
torch.quantile_out(Tensor out,
Tensor self,
double q,
LongOptional dim,
boolean keepdim,
String interpolation) |
static Tensor |
torch.quantile_out(Tensor out,
Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
static Tensor |
torch.quantile_out(Tensor out,
Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
String interpolation) |
static Tensor |
torch.quantile_outf(Tensor self,
double q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation,
Tensor out) |
static Tensor |
torch.quantile_outf(Tensor self,
double q,
LongOptional dim,
boolean keepdim,
String interpolation,
Tensor out) |
static Tensor |
torch.quantile_outf(Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation,
Tensor out) |
static Tensor |
torch.quantile_outf(Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
String interpolation,
Tensor out) |
static Tensor |
torch.quantile(Tensor self,
double q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
static Tensor |
torch.quantile(Tensor self,
double q,
LongOptional dim,
boolean keepdim,
String interpolation) |
static Tensor |
torch.quantile(Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
BytePointer interpolation) |
static Tensor |
torch.quantile(Tensor self,
Tensor q,
LongOptional dim,
boolean keepdim,
String interpolation) |
static long |
torch.ReplaceAll(BytePointer s,
BytePointer from,
BytePointer to) |
static long |
torch.ReplaceAll(BytePointer s,
BytePointer from,
BytePointer to) |
static long |
torch.ReplaceAll(BytePointer s,
String from,
String to) |
static long |
torch.ReplaceAll(BytePointer s,
String from,
String to) |
static Tensor |
torch.scatter_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Scalar value,
BytePointer reduce) |
static Tensor |
torch.scatter_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Scalar value,
String reduce) |
static Tensor |
torch.scatter_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor src,
BytePointer reduce) |
static Tensor |
torch.scatter_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor src,
String reduce) |
static Tensor |
torch.scatter_outf(Tensor self,
long dim,
Tensor index,
Scalar value,
BytePointer reduce,
Tensor out) |
static Tensor |
torch.scatter_outf(Tensor self,
long dim,
Tensor index,
Scalar value,
String reduce,
Tensor out) |
static Tensor |
torch.scatter_outf(Tensor self,
long dim,
Tensor index,
Tensor src,
BytePointer reduce,
Tensor out) |
static Tensor |
torch.scatter_outf(Tensor self,
long dim,
Tensor index,
Tensor src,
String reduce,
Tensor out) |
static Tensor |
torch.scatter_reduce_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor src,
BytePointer reduce) |
static Tensor |
torch.scatter_reduce_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor src,
BytePointer reduce,
boolean include_self) |
static Tensor |
torch.scatter_reduce_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor src,
String reduce) |
static Tensor |
torch.scatter_reduce_out(Tensor out,
Tensor self,
long dim,
Tensor index,
Tensor src,
String reduce,
boolean include_self) |
static Tensor |
torch.scatter_reduce_outf(Tensor self,
long dim,
Tensor index,
Tensor src,
BytePointer reduce,
boolean include_self,
Tensor out) |
static Tensor |
torch.scatter_reduce_outf(Tensor self,
long dim,
Tensor index,
Tensor src,
String reduce,
boolean include_self,
Tensor out) |
static Tensor |
torch.scatter_reduce(Tensor self,
long dim,
Tensor index,
Tensor src,
BytePointer reduce) |
static Tensor |
torch.scatter_reduce(Tensor self,
long dim,
Tensor index,
Tensor src,
BytePointer reduce,
boolean include_self) |
static Tensor |
torch.scatter_reduce(Tensor self,
long dim,
Tensor index,
Tensor src,
String reduce) |
static Tensor |
torch.scatter_reduce(Tensor self,
long dim,
Tensor index,
Tensor src,
String reduce,
boolean include_self) |
static Tensor |
torch.scatter(Tensor self,
long dim,
Tensor index,
Scalar value,
BytePointer reduce) |
static Tensor |
torch.scatter(Tensor self,
long dim,
Tensor index,
Scalar value,
String reduce) |
static Tensor |
torch.scatter(Tensor self,
long dim,
Tensor index,
Tensor src,
BytePointer reduce) |
static Tensor |
torch.scatter(Tensor self,
long dim,
Tensor index,
Tensor src,
String reduce) |
static boolean |
torch.schema_allowlist_check(BytePointer schema) |
static boolean |
torch.schema_allowlist_check(String schema) |
static Tensor |
torch.segment_reduce_out(Tensor out,
Tensor data,
BytePointer reduce) |
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) |
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) |
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) |
static Tensor |
torch.segment_reduce(Tensor data,
String reduce,
TensorOptional lengths,
TensorOptional indices,
TensorOptional offsets,
long axis,
boolean unsafe,
ScalarOptional initial) |
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.torch_from_file(BytePointer filename) |
static Tensor |
torch.torch_from_file(BytePointer filename,
BoolOptional shared,
LongOptional size,
TensorOptions options) |
static Tensor |
torch.torch_from_file(String filename) |
static Tensor |
torch.torch_from_file(String filename,
BoolOptional shared,
LongOptional size,
TensorOptions options) |
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