torch.Storage

A torch.Storage is a contiguous, one-dimensional array of a single data type.

Every torch.Tensor has a corresponding storage of the same data type.

class torch.DoubleStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.float64

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.FloatStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.float32

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.HalfStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.float16

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.LongStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.int64

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.IntStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.int32

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.ShortStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.int16

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.CharStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.int8

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.ByteStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.uint8

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.BoolStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.bool

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.BFloat16Storage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.bfloat16

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.ComplexDoubleStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.complex128

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.ComplexFloatStorage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.complex64

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.QUInt8Storage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.quint8

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.QInt8Storage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.qint8

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.QInt32Storage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.qint32

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)

class torch.QUInt4x2Storage(*args, **kwargs)

bfloat16()

Casts this storage to bfloat16 type

bool()

Casts this storage to bool type

byte()

Casts this storage to byte type

char()

Casts this storage to char type

clone()

Returns a copy of this storage

complex_double()

Casts this storage to complex double type

complex_float()

Casts this storage to complex float type

copy_(source, non_blocking=None)

cpu()

Returns a CPU copy of this storage if it’s not already on the CPU

cuda(device=None, non_blocking=False, **kwargs)

data_ptr()

property device

double()

Casts this storage to double type

dtype = torch.quint4x2

element_size()

fill_(value)

float()

Casts this storage to float type

classmethod from_buffer(*args, **kwargs)

classmethod from_file(filename, shared, size)

get_device()

half()

Casts this storage to half type

int()

Casts this storage to int type

property is_cuda

is_pinned()

is_shared()

is_sparse = False

long()

Casts this storage to long type

nbytes()

pickle_storage_type()

pin_memory()

Coppies the storage to pinned memory, if it’s not already pinned.

resize_(size)

share_memory_()

Moves the storage to shared memory.

This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized.

Returns: self

short()

Casts this storage to short type

size()

tolist()

Returns a list containing the elements of this storage

type(dtype=None, non_blocking=False)