Uses of Class
org.bytedeco.pytorch.global.torch.ScalarType

Packages that use torch.ScalarType

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

Uses of torch.ScalarType in org.bytedeco.pytorch

Methods in org.bytedeco.pytorch that return torch.ScalarType

Modifier and Type	Method and Description
torch.ScalarType	ScalarTypeHeaderOnlyArrayRef.at(long Index) Vector compatibility
torch.ScalarType	ScalarTypeArrayRef.at(long Index) \} \name Operator Overloads \{
torch.ScalarType	ScalarTypeVector.back()
torch.ScalarType	ScalarTypeHeaderOnlyArrayRef.back() back - Get the last element.
torch.ScalarType	ScalarTypeArrayRef.back() back - Get the last element.
torch.ScalarType	TensorIteratorBase.common_dtype()
torch.ScalarType	OperandInfo.current_dtype()
torch.ScalarType	TensorCastValue.dtype_()
torch.ScalarType	TensorIteratorBase.dtype()
torch.ScalarType	LegacyTensorConstructor.dtype()
torch.ScalarType	TensorIteratorBase.dtype(long arg)
torch.ScalarType	ScalarTypeVector.front()
torch.ScalarType	ScalarTypeHeaderOnlyArrayRef.front() front - Get the first element.
torch.ScalarType	ScalarTypeArrayRef.front() \} \name Simple Operations, mostly inherited from HeaderOnlyArrayRef \{
torch.ScalarType[]	ScalarTypeVector.get()
torch.ScalarType	ScalarTypeVector.Iterator.get()
torch.ScalarType	ScalarTypeOptional.get()
torch.ScalarType	StringScalarTypeMap.get(BytePointer i)
torch.ScalarType	ScalarTypeVector.get(long i)
torch.ScalarType	ScalarTypeHeaderOnlyArrayRef.get(long Index) \} \name Operator Overloads \{
torch.ScalarType	TensorIteratorBase.input_dtype()
torch.ScalarType	TensorIteratorBase.input_dtype(long arg)
torch.ScalarType	ScalarTypeVector.pop_back()
torch.ScalarType	Quantizer.scalar_type_()
torch.ScalarType	VariableInfo.scalar_type()
torch.ScalarType	TensorBase.scalar_type()
torch.ScalarType	Quantizer.scalar_type()
abstract torch.ScalarType	AbstractTensor.scalar_type()
torch.ScalarType	StringScalarTypeMap.Iterator.second()
torch.ScalarType	OperandInfo.target_dtype()
torch.ScalarType	TypeMeta.toScalarType() convert TypeMeta handles to ScalarType enum values
torch.ScalarType	IValue.toScalarType()
torch.ScalarType	Scalar.type()
torch.ScalarType	ArgumentInfo.type()

Methods in org.bytedeco.pytorch with parameters of type torch.ScalarType

Modifier and Type	Method and Description
Tensor	Tensor._autocast_to_reduced_precision(boolean cuda_enabled, boolean cpu_enabled, torch.ScalarType cuda_dtype, torch.ScalarType cpu_dtype)
void	SwapSavedVariables.after(torch.ScalarType arg0)
void	SwapSavedVariables.before(torch.ScalarType arg0)
void	CompiledNodeArgs.collect(torch.ScalarType t)
static LegacyTensorConstructor	LegacyTensorConstructor.create(Symbol form, torch.ScalarType dtype, Device device)
static TensorType	TensorType.createContiguous(torch.ScalarType scalar_type, Device device, long... sizes)
static TensorType	TensorType.createContiguous(torch.ScalarType scalar_type, Device device, LongArrayRef sizes)
OperandInfo	OperandInfo.current_dtype(torch.ScalarType setter)
TensorIteratorConfig	TensorIteratorConfig.declare_static_dtype_and_device(torch.ScalarType dtype, Device device)
TensorIteratorConfig	TensorIteratorConfig.declare_static_dtype(torch.ScalarType dtype)
TensorCastValue	TensorCastValue.dtype_(torch.ScalarType setter)
static TypeMeta	TypeMeta.fromScalarType(torch.ScalarType scalar_type) convert ScalarType enum values to TypeMeta handles
ScalarTypeVector.Iterator	ScalarTypeVector.insert(ScalarTypeVector.Iterator pos, torch.ScalarType value)
boolean	TypeMeta.isScalarType(torch.ScalarType scalar_type) true if we represent ScalarType scalar_type
Tensor	Tensor.norm(ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype)
Tensor	Tensor.norm(ScalarOptional p, DimnameVector dim, boolean keepdim, torch.ScalarType dtype)
Tensor	Tensor.norm(ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype)
Tensor	Tensor.norm(ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype)
Tensor	Tensor.norm(ScalarOptional p, torch.ScalarType dtype)
ScalarTypeVector	ScalarTypeVector.push_back(torch.ScalarType value)
StringScalarTypeMap	StringScalarTypeMap.put(BytePointer i, torch.ScalarType value)
ScalarTypeVector	ScalarTypeVector.put(long i, torch.ScalarType value)
ScalarTypeVector	ScalarTypeVector.put(torch.ScalarType... array)
TypeMeta	TypeMeta.put(torch.ScalarType scalar_type)
ScalarTypeVector	ScalarTypeVector.put(torch.ScalarType value)
ScalarTypeOptional	ScalarTypeOptional.put(torch.ScalarType value)
VariableInfo	VariableInfo.scalar_type(torch.ScalarType setter)
void	Reducer.set_mixed_precision_param_dtype(torch.ScalarType dtype)
OperandInfo	OperandInfo.target_dtype(torch.ScalarType setter)
Tensor	Tensor.to(Device device, torch.ScalarType dtype)
void	RNNImplBase.to(Device device, torch.ScalarType dtype)
void	LSTMImplBase.to(Device device, torch.ScalarType dtype)
void	JitModule.to(Device device, torch.ScalarType dtype)
void	GRUImplBase.to(Device device, torch.ScalarType dtype)
void	RNNImplBase.to(Device device, torch.ScalarType dtype, boolean non_blocking) Overrides nn::Module::to() to call flatten_parameters() after the original operation.
void	Module.to(Device device, torch.ScalarType dtype, boolean non_blocking) Recursively casts all parameters to the given dtype and device.
void	LSTMImplBase.to(Device device, torch.ScalarType dtype, boolean non_blocking) Overrides nn::Module::to() to call flatten_parameters() after the original operation.
void	JitModule.to(Device device, torch.ScalarType dtype, boolean non_blocking) Recursively casts all parameters to the given dtype and device.
void	GRUImplBase.to(Device device, torch.ScalarType dtype, boolean non_blocking) Overrides nn::Module::to() to call flatten_parameters() after the original operation.
Tensor	Tensor.to(Device device, torch.ScalarType dtype, boolean non_blocking, boolean copy, MemoryFormatOptional memory_format)
Tensor	Tensor.to(torch.ScalarType dtype)
void	RNNImplBase.to(torch.ScalarType dtype)
void	LSTMImplBase.to(torch.ScalarType dtype)
void	JitModule.to(torch.ScalarType dtype)
void	GRUImplBase.to(torch.ScalarType dtype)
void	RNNImplBase.to(torch.ScalarType dtype, boolean non_blocking)
void	Module.to(torch.ScalarType dtype, boolean non_blocking) Recursively casts all parameters to the given dtype.
void	LSTMImplBase.to(torch.ScalarType dtype, boolean non_blocking)
void	JitModule.to(torch.ScalarType dtype, boolean non_blocking) Recursively casts all parameters to the given dtype.
void	GRUImplBase.to(torch.ScalarType dtype, boolean non_blocking)
Tensor	Tensor.to(torch.ScalarType dtype, boolean non_blocking, boolean copy, MemoryFormatOptional memory_format)
Tensor	Tensor.toType(torch.ScalarType t)
Tensor	Tensor.view(torch.ScalarType dtype)

Constructors in org.bytedeco.pytorch with parameters of type torch.ScalarType

Constructor and Description
IValue(torch.ScalarType t)
LegacyTensorConstructor(Symbol form, torch.ScalarType dtype, Device device)
RandomSampler(long size, torch.ScalarType index_dtype) Constructs a RandomSampler with a size and dtype for the stored indices.
ScalarTypeOptional(torch.ScalarType value)
ScalarTypeVector(torch.ScalarType... array)
ScalarTypeVector(torch.ScalarType value)
TensorCastValue(torch.ScalarType type, NamedValue self)
TensorOptions(torch.ScalarType dtype) legacy constructor to support ScalarType

Uses of torch.ScalarType in org.bytedeco.pytorch.global

Methods in org.bytedeco.pytorch.global that return torch.ScalarType

Modifier and Type	Method and Description
static torch.ScalarType	torch.compute_desired_dtype(torch.ScalarType scalar_type)
static torch.ScalarType	torch.dtype_or_default(ScalarTypeOptional dtype)
static torch.ScalarType	torch.get_autocast_cpu_dtype() Deprecated.
static torch.ScalarType	torch.get_autocast_dtype(torch.DeviceType device_type)
static torch.ScalarType	torch.get_autocast_gpu_dtype() Deprecated.
static torch.ScalarType	torch.get_autocast_hpu_dtype() Deprecated.
static torch.ScalarType	torch.get_autocast_ipu_dtype() Deprecated.
static torch.ScalarType	torch.get_autocast_mtia_dtype() Deprecated.
static torch.ScalarType	torch.get_autocast_privateuseone_dtype() Deprecated.
static torch.ScalarType	torch.get_autocast_xla_dtype() Deprecated.
static torch.ScalarType	torch.get_autocast_xpu_dtype() Deprecated.
static torch.ScalarType	torch.get_default_dtype_as_scalartype()
static torch.ScalarType	torch.get_lower_precision_fp_from_device_type(byte device_type)
static torch.ScalarType	torch.get_lower_precision_fp_from_device_type(torch.DeviceType device_type)
torch.ScalarType	torch.ScalarType.intern()
static torch.ScalarType	torch.kBFloat16()
static torch.ScalarType	torch.kBits16()
static torch.ScalarType	torch.kBits1x8()
static torch.ScalarType	torch.kBits2x4()
static torch.ScalarType	torch.kBits4x2()
static torch.ScalarType	torch.kBits8()
static torch.ScalarType	torch.kBool()
static torch.ScalarType	torch.kByte()
static torch.ScalarType	torch.kChar()
static torch.ScalarType	torch.kComplexDouble()
static torch.ScalarType	torch.kComplexFloat()
static torch.ScalarType	torch.kComplexHalf()
static torch.ScalarType	torch.kDouble()
static torch.ScalarType	torch.kFloat()
static torch.ScalarType	torch.kFloat4_e2m1fn_x2()
static torch.ScalarType	torch.kFloat8_e4m3fn()
static torch.ScalarType	torch.kFloat8_e4m3fnuz()
static torch.ScalarType	torch.kFloat8_e5m2()
static torch.ScalarType	torch.kFloat8_e5m2fnuz()
static torch.ScalarType	torch.kFloat8_e8m0fnu()
static torch.ScalarType	torch.kHalf()
static torch.ScalarType	torch.kInt()
static torch.ScalarType	torch.kInt1()
static torch.ScalarType	torch.kInt2()
static torch.ScalarType	torch.kInt3()
static torch.ScalarType	torch.kInt4()
static torch.ScalarType	torch.kInt5()
static torch.ScalarType	torch.kInt6()
static torch.ScalarType	torch.kInt7()
static torch.ScalarType	torch.kLong()
static torch.ScalarType	torch.kQInt32()
static torch.ScalarType	torch.kQInt8()
static torch.ScalarType	torch.kQUInt2x4()
static torch.ScalarType	torch.kQUInt4x2()
static torch.ScalarType	torch.kQUInt8()
static torch.ScalarType	torch.kShort()
static torch.ScalarType	torch.kUInt1()
static torch.ScalarType	torch.kUInt16()
static torch.ScalarType	torch.kUInt2()
static torch.ScalarType	torch.kUInt3()
static torch.ScalarType	torch.kUInt32()
static torch.ScalarType	torch.kUInt4()
static torch.ScalarType	torch.kUInt5()
static torch.ScalarType	torch.kUInt6()
static torch.ScalarType	torch.kUInt64()
static torch.ScalarType	torch.kUInt7()
static torch.ScalarType	torch.prioritize(torch.ScalarType current, Tensor nextArg)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorArrayRef list)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorArrayRef list, byte device_type)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorArrayRef list, torch.DeviceType device_type)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, Tensor nextArg, byte device_type)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, Tensor nextArg, torch.DeviceType device_type) Logic to extract the promote type from any Tensor or TensorList args.
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorVector list)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorVector list, byte device_type)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorVector list, torch.DeviceType device_type)
static torch.ScalarType	torch.promote_type(torch.ScalarType current, byte device_type)
static torch.ScalarType	torch.promote_type(torch.ScalarType current, torch.DeviceType device_type)
static torch.ScalarType	torch.promote_types(torch.ScalarType type1, torch.ScalarType type2)
static torch.ScalarType	torch.promoteTypes(torch.ScalarType a, torch.ScalarType b)
static torch.ScalarType	torch.result_type(Scalar scalar1, Scalar scalar2)
static torch.ScalarType	torch.result_type(Scalar scalar, Tensor tensor)
static torch.ScalarType	torch.result_type(Tensor tensor, Scalar other)
static torch.ScalarType	torch.result_type(Tensor tensor, Tensor other)
static torch.ScalarType	torch.scalarTypeFromJitType(Type type)
static torch.ScalarType	torch.toComplexType(torch.ScalarType t)
static torch.ScalarType	torch.toQIntType(torch.ScalarType t)
static torch.ScalarType	torch.toRealValueType(torch.ScalarType t)
static torch.ScalarType	torch.toUnderlying(torch.ScalarType t)
static torch.ScalarType	torch.typeMetaToScalarType(TypeMeta dtype) convert TypeMeta handles to ScalarType enum values
static torch.ScalarType	torch.ScalarType.valueOf(String name) Returns the enum constant of this type with the specified name.
static torch.ScalarType[]	torch.ScalarType.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.bytedeco.pytorch.global with parameters of type torch.ScalarType

Modifier and Type	Method and Description
static Tensor	torch._sparse_compressed_tensor_with_dims(long nnz, long dense_dim, long[] size, long[] blocksize, torch.ScalarType index_dtype, TensorOptions options)
static Tensor	torch._sparse_compressed_tensor_with_dims(long nnz, long dense_dim, LongArrayRef size, LongArrayRef blocksize, torch.ScalarType index_dtype, TensorOptions options)
static Tensor	torch.addmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2, torch.ScalarType out_dtype)
static Tensor	torch.addmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2, torch.ScalarType out_dtype, Scalar beta, Scalar alpha)
static Tensor	torch.addmm_outf(Tensor self, Tensor mat1, Tensor mat2, torch.ScalarType out_dtype, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addmm(Tensor self, Tensor mat1, Tensor mat2, torch.ScalarType out_dtype)
static Tensor	torch.addmm(Tensor self, Tensor mat1, Tensor mat2, torch.ScalarType out_dtype, Scalar beta, Scalar alpha)
static Tensor	torch.baddbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2, torch.ScalarType out_dtype)
static Tensor	torch.baddbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2, torch.ScalarType out_dtype, Scalar beta, Scalar alpha)
static Tensor	torch.baddbmm_outf(Tensor self, Tensor batch1, Tensor batch2, torch.ScalarType out_dtype, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.baddbmm(Tensor self, Tensor batch1, Tensor batch2, torch.ScalarType out_dtype)
static Tensor	torch.baddbmm(Tensor self, Tensor batch1, Tensor batch2, torch.ScalarType out_dtype, Scalar beta, Scalar alpha)
static Tensor	torch.bmm_out(Tensor out, Tensor self, Tensor mat2, torch.ScalarType out_dtype)
static Tensor	torch.bmm_outf(Tensor self, Tensor mat2, torch.ScalarType out_dtype, Tensor out)
static Tensor	torch.bmm(Tensor self, Tensor mat2, torch.ScalarType out_dtype)
static Tensor	torch.cached_cast(torch.ScalarType to_type, Tensor arg)
static TensorVector	torch.cached_cast(torch.ScalarType to_type, TensorArrayRef arg)
static TensorVector	torch.cached_cast(torch.ScalarType to_type, TensorArrayRef arg, byte device_type)
static TensorVector	torch.cached_cast(torch.ScalarType to_type, TensorArrayRef arg, torch.DeviceType device_type)
static Tensor	torch.cached_cast(torch.ScalarType to_type, Tensor arg, byte device_type)
static TensorOptional	torch.cached_cast(torch.ScalarType to_type, TensorOptional arg)
static TensorOptional	torch.cached_cast(torch.ScalarType to_type, TensorOptional arg, byte device_type)
static TensorOptional	torch.cached_cast(torch.ScalarType to_type, TensorOptional arg, torch.DeviceType device_type)
static Tensor	torch.cached_cast(torch.ScalarType to_type, Tensor arg, torch.DeviceType device_type)
static TensorVector	torch.cached_cast(torch.ScalarType to_type, TensorVector arg)
static TensorVector	torch.cached_cast(torch.ScalarType to_type, TensorVector arg, byte device_type)
static TensorVector	torch.cached_cast(torch.ScalarType to_type, TensorVector arg, torch.DeviceType device_type)
static boolean	torch.can_cast(torch.ScalarType from_, torch.ScalarType to)
static boolean	torch.canCast(torch.ScalarType from, torch.ScalarType to)
static void	torch.cast_and_store_from_BFloat16(torch.ScalarType dest_type, Pointer ptr, BFloat16 value)
static void	torch.cast_and_store_from_boolean(torch.ScalarType dest_type, Pointer ptr, boolean value)
static void	torch.cast_and_store_from_byte(torch.ScalarType dest_type, Pointer ptr, byte value)
static void	torch.cast_and_store_from_ComplexDouble(torch.ScalarType dest_type, Pointer ptr, DoubleComplex value)
static void	torch.cast_and_store_from_ComplexFloat(torch.ScalarType dest_type, Pointer ptr, FloatComplex value)
static void	torch.cast_and_store_from_double(torch.ScalarType dest_type, Pointer ptr, double value)
static void	torch.cast_and_store_from_float(torch.ScalarType dest_type, Pointer ptr, float value)
static void	torch.cast_and_store_from_Float8_e4m3fn(torch.ScalarType dest_type, Pointer ptr, Float8_e4m3fn value)
static void	torch.cast_and_store_from_Float8_e4m3fnuz(torch.ScalarType dest_type, Pointer ptr, Float8_e4m3fnuz value)
static void	torch.cast_and_store_from_Float8_e5m2(torch.ScalarType dest_type, Pointer ptr, Float8_e5m2 value)
static void	torch.cast_and_store_from_Float8_e5m2fnuz(torch.ScalarType dest_type, Pointer ptr, Float8_e5m2fnuz value)
static void	torch.cast_and_store_from_Half(torch.ScalarType dest_type, Pointer ptr, Half value)
static void	torch.cast_and_store_from_int(torch.ScalarType dest_type, Pointer ptr, int value)
static void	torch.cast_and_store_from_long(torch.ScalarType dest_type, Pointer ptr, long value)
static void	torch.cast_and_store_from_qint8(torch.ScalarType dest_type, Pointer ptr, qint8 value)
static void	torch.cast_and_store_from_quint2x4(torch.ScalarType dest_type, Pointer ptr, quint2x4 value)
static void	torch.cast_and_store_from_quint32(torch.ScalarType dest_type, Pointer ptr, qint32 value)
static void	torch.cast_and_store_from_quint4x2(torch.ScalarType dest_type, Pointer ptr, quint4x2 value)
static void	torch.cast_and_store_from_quint8(torch.ScalarType dest_type, Pointer ptr, quint8 value)
static void	torch.cast_and_store_from_short(torch.ScalarType dest_type, Pointer ptr, short value)
static TensorImplVector	torch.checked_dense_tensor_list_unwrap(TensorArrayRef tensors, BytePointer name, int pos, torch.DeviceType device_type, torch.ScalarType scalar_type)
static TensorImplVector	torch.checked_dense_tensor_list_unwrap(TensorArrayRef tensors, String name, int pos, byte device_type, torch.ScalarType scalar_type)
static TensorImplVector	torch.checked_dense_tensor_list_unwrap(TensorVector tensors, BytePointer name, int pos, torch.DeviceType device_type, torch.ScalarType scalar_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.checkScalarType(BytePointer c, TensorArg t, torch.ScalarType s)
static void	torch.checkScalarType(String c, TensorArg t, torch.ScalarType s)
static torch.ScalarType	torch.compute_desired_dtype(torch.ScalarType scalar_type)
static TensorOptions	torch.dtype(torch.ScalarType dtype)
static long	torch.elementSize(torch.ScalarType t)
static TensorBase	torch.empty_cpu(long[] size, torch.ScalarType dtype)
static TensorBase	torch.empty_cpu(long[] size, torch.ScalarType dtype, boolean pin_memory, MemoryFormatOptional memory_format_opt)
static TensorBase	torch.empty_cpu(LongArrayRef size, torch.ScalarType dtype)
static TensorBase	torch.empty_cpu(LongArrayRef size, torch.ScalarType dtype, boolean pin_memory, MemoryFormatOptional memory_format_opt)
static TensorBase	torch.empty_generic_symint(SymIntArrayRef size, Allocator allocator, DispatchKeySet ks, torch.ScalarType scalar_type, MemoryFormatOptional memory_format_opt)
static TensorBase	torch.empty_generic(long[] size, Allocator allocator, DispatchKeySet ks, torch.ScalarType scalar_type, MemoryFormatOptional memory_format_opt)
static TensorBase	torch.empty_generic(LongArrayRef size, Allocator allocator, DispatchKeySet ks, torch.ScalarType scalar_type, MemoryFormatOptional memory_format_opt)
static TensorBase	torch.empty_meta(long[] size, torch.ScalarType dtype)
static TensorBase	torch.empty_meta(long[] size, torch.ScalarType dtype, MemoryFormatOptional memory_format_opt)
static TensorBase	torch.empty_meta(LongArrayRef size, torch.ScalarType dtype)
static TensorBase	torch.empty_meta(LongArrayRef size, torch.ScalarType dtype, MemoryFormatOptional memory_format_opt)
static TensorBase	torch.empty_strided_cpu(long[] size, long[] stride, torch.ScalarType dtype)
static TensorBase	torch.empty_strided_cpu(long[] size, long[] stride, torch.ScalarType dtype, boolean pin_memory)
static TensorBase	torch.empty_strided_cpu(LongArrayRef size, LongArrayRef stride, torch.ScalarType dtype)
static TensorBase	torch.empty_strided_cpu(LongArrayRef size, LongArrayRef stride, torch.ScalarType dtype, boolean pin_memory)
static TensorBase	torch.empty_strided_generic(long[] size, long[] stride, Allocator allocator, DispatchKeySet ks, torch.ScalarType scalar_type)
static TensorBase	torch.empty_strided_generic(LongArrayRef size, LongArrayRef stride, Allocator allocator, DispatchKeySet ks, torch.ScalarType scalar_type)
static TensorBase	torch.empty_strided_meta(long[] size, long[] stride, torch.ScalarType dtype)
static TensorBase	torch.empty_strided_meta(LongArrayRef size, LongArrayRef stride, torch.ScalarType dtype)
static TensorBase	torch.empty_strided_symint_generic(SymIntArrayRef size, SymIntArrayRef stride, Allocator allocator, DispatchKeySet ks, torch.ScalarType scalar_type)
static TensorBase	torch.empty_strided_symint_meta(SymIntArrayRef size, SymIntArrayRef stride, torch.ScalarType dtype)
static boolean	torch.equals(torch.ScalarType t, TypeMeta m) convenience: equality across TypeMeta/ScalarType conversion
static boolean	torch.equals(TypeMeta m, torch.ScalarType t)
static BFloat16	torch.fetch_and_cast_to_BFloat16(torch.ScalarType src_type, Pointer ptr)
static boolean	torch.fetch_and_cast_to_boolean(torch.ScalarType src_type, Pointer ptr)
static byte	torch.fetch_and_cast_to_byte(torch.ScalarType src_type, Pointer ptr)
static DoubleComplex	torch.fetch_and_cast_to_ComplexDouble(torch.ScalarType src_type, Pointer ptr)
static FloatComplex	torch.fetch_and_cast_to_ComplexFloat(torch.ScalarType src_type, Pointer ptr)
static double	torch.fetch_and_cast_to_double(torch.ScalarType src_type, Pointer ptr)
static float	torch.fetch_and_cast_to_float(torch.ScalarType src_type, Pointer ptr)
static Float8_e4m3fn	torch.fetch_and_cast_to_Float8_e4m3fn(torch.ScalarType src_type, Pointer ptr)
static Float8_e4m3fnuz	torch.fetch_and_cast_to_Float8_e4m3fnuz(torch.ScalarType src_type, Pointer ptr)
static Float8_e5m2	torch.fetch_and_cast_to_Float8_e5m2(torch.ScalarType src_type, Pointer ptr)
static Float8_e5m2fnuz	torch.fetch_and_cast_to_Float8_e5m2fnuz(torch.ScalarType src_type, Pointer ptr)
static Half	torch.fetch_and_cast_to_Half(torch.ScalarType src_type, Pointer ptr)
static int	torch.fetch_and_cast_to_int(torch.ScalarType src_type, Pointer ptr)
static long	torch.fetch_and_cast_to_long(torch.ScalarType src_type, Pointer ptr)
static qint8	torch.fetch_and_cast_to_qint8(torch.ScalarType src_type, Pointer ptr)
static quint2x4	torch.fetch_and_cast_to_quint2x4(torch.ScalarType src_type, Pointer ptr)
static qint32	torch.fetch_and_cast_to_quint32(torch.ScalarType src_type, Pointer ptr)
static quint4x2	torch.fetch_and_cast_to_quint4x2(torch.ScalarType src_type, Pointer ptr)
static quint8	torch.fetch_and_cast_to_quint8(torch.ScalarType src_type, Pointer ptr)
static short	torch.fetch_and_cast_to_short(torch.ScalarType src_type, Pointer ptr)
static int	torch_cuda.getCudnnDataTypeFromScalarType(torch.ScalarType dtype) A variant of OptionalStreamGuard that is specialized for CUDA.
static StringPair	torch.getDtypeNames(torch.ScalarType scalarType)
static int	torch_nccl.getNcclDataType(torch.ScalarType type)
static boolean	torch.isBarebonesUnsignedType(torch.ScalarType t)
static boolean	torch.isBitsType(torch.ScalarType t)
static boolean	torch.isComplexType(torch.ScalarType t)
static boolean	torch.isFloat8Type(torch.ScalarType t)
static boolean	torch.isFloatingType(torch.ScalarType t)
static boolean	torch.isIntegralType(torch.ScalarType t, boolean includeBool)
static boolean	torch.isQIntType(torch.ScalarType t)
static boolean	torch.isReducedFloatingType(torch.ScalarType t)
static boolean	torch.isSignedType(torch.ScalarType t)
static boolean	torch.isUnderlying(torch.ScalarType type, torch.ScalarType qtype)
static Tensor	torch.mm_out(Tensor out, Tensor self, Tensor mat2, torch.ScalarType out_dtype)
static Tensor	torch.mm_outf(Tensor self, Tensor mat2, torch.ScalarType out_dtype, Tensor out)
static Tensor	torch.mm(Tensor self, Tensor mat2, torch.ScalarType out_dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, DimnameVector dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, torch.ScalarType dtype)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, DimnameVector dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, DimnameVector dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, torch.ScalarType dtype)
static boolean	torch.notEquals(torch.ScalarType t, TypeMeta m)
static boolean	torch.notEquals(TypeMeta m, torch.ScalarType t)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, Tensor nextArg)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorArrayRef list)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorArrayRef list, byte device_type)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorArrayRef list, torch.DeviceType device_type)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, Tensor nextArg, byte device_type)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, Tensor nextArg, torch.DeviceType device_type) Logic to extract the promote type from any Tensor or TensorList args.
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorVector list)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorVector list, byte device_type)
static torch.ScalarType	torch.prioritize(torch.ScalarType current, TensorVector list, torch.DeviceType device_type)
static torch.ScalarType	torch.promote_type(torch.ScalarType current, byte device_type)
static torch.ScalarType	torch.promote_type(torch.ScalarType current, torch.DeviceType device_type)
static torch.ScalarType	torch.promote_types(torch.ScalarType type1, torch.ScalarType type2)
static torch.ScalarType	torch.promoteTypes(torch.ScalarType a, torch.ScalarType b)
static Tensor	torch.quantize_per_channel_out(Tensor out, Tensor self, Tensor scales, Tensor zero_points, long axis, torch.ScalarType dtype)
static Tensor	torch.quantize_per_channel_outf(Tensor self, Tensor scales, Tensor zero_points, long axis, torch.ScalarType dtype, Tensor out)
static Tensor	torch.quantize_per_channel(Tensor self, Tensor scales, Tensor zero_points, long axis, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor_dynamic_out(Tensor out, Tensor self, torch.ScalarType dtype, boolean reduce_range)
static Tensor	torch.quantize_per_tensor_dynamic_outf(Tensor self, torch.ScalarType dtype, boolean reduce_range, Tensor out)
static Tensor	torch.quantize_per_tensor_dynamic(Tensor self, torch.ScalarType dtype, boolean reduce_range)
static void	torch.quantize_per_tensor_out(TensorArrayRef out, TensorArrayRef tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor_out(Tensor out, Tensor self, double scale, long zero_point, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor_out(Tensor out, Tensor self, Tensor scale, Tensor zero_point, torch.ScalarType dtype)
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(TensorArrayRef tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype, TensorArrayRef out)
static Tensor	torch.quantize_per_tensor_outf(Tensor self, double scale, long zero_point, torch.ScalarType dtype, Tensor out)
static Tensor	torch.quantize_per_tensor_outf(Tensor self, Tensor scale, Tensor zero_point, torch.ScalarType dtype, Tensor out)
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(TensorArrayRef tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor(Tensor self, double scale, long zero_point, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor(Tensor self, Tensor scale, Tensor zero_point, torch.ScalarType dtype)
static TensorVector	torch.quantize_per_tensor(TensorVector tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype)
static TypeMeta	torch.scalarTypeToTypeMeta(torch.ScalarType scalar_type) convert ScalarType enum values to TypeMeta handles
static void	torch.set_autocast_cpu_dtype(torch.ScalarType dtype) Deprecated.
static void	torch.set_autocast_dtype(torch.DeviceType device_type, torch.ScalarType dtype)
static void	torch.set_autocast_gpu_dtype(torch.ScalarType dtype) Deprecated.
static void	torch.set_autocast_hpu_dtype(torch.ScalarType dtype) Deprecated.
static void	torch.set_autocast_ipu_dtype(torch.ScalarType dtype) Deprecated.
static void	torch.set_autocast_mtia_dtype(torch.ScalarType dtype) Deprecated.
static void	torch.set_autocast_privateuseone_dtype(torch.ScalarType dtype) Deprecated.
static void	torch.set_autocast_xla_dtype(torch.ScalarType dtype) Deprecated.
static void	torch.set_autocast_xpu_dtype(torch.ScalarType dtype) Deprecated.
static ScalarTypeOptional	torch.set_opt_dtype(torch.ScalarType to_type, ScalarTypeOptional dtype) Logic to flip an output dtype flag.
static Pointer	torch.shiftLeft(Pointer stream, torch.ScalarType scalar_type)
static boolean	torch.should_include_kernel_dtype(BytePointer arg0, torch.ScalarType arg1) The method should_include_kernel_dtype() returns true/false based on whether the switching code for a specific dtype should be included based on build time constants generated from tracing model execution.
static boolean	torch.should_include_kernel_dtype(String arg0, torch.ScalarType arg1)
static torch.ScalarType	torch.toComplexType(torch.ScalarType t)
static torch.ScalarType	torch.toQIntType(torch.ScalarType t)
static torch.ScalarType	torch.toRealValueType(torch.ScalarType t)
static BytePointer	torch.toString(torch.ScalarType t)
static torch.ScalarType	torch.toUnderlying(torch.ScalarType t)
static Tensor	torch.view_copy_out(Tensor out, Tensor self, torch.ScalarType dtype)
static Tensor	torch.view_copy_outf(Tensor self, torch.ScalarType dtype, Tensor out)
static Tensor	torch.view_copy(Tensor self, torch.ScalarType dtype)

Uses of torch.ScalarType in org.bytedeco.pytorch.nccl

Methods in org.bytedeco.pytorch.nccl that return torch.ScalarType

Modifier and Type	Method and Description
torch.ScalarType	ScalaTypeDataTypeMap.Iterator.first()

Methods in org.bytedeco.pytorch.nccl with parameters of type torch.ScalarType

Modifier and Type	Method and Description
int	ScalaTypeDataTypeMap.get(torch.ScalarType i)
ScalaTypeDataTypeMap	ScalaTypeDataTypeMap.put(torch.ScalarType i, int value)