oneflow.nn.Parameter

class oneflow.nn.Parameter

__init__(*args, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__abs__()	abs(self)
__add__(value, /)	Return self+value.
__and__(value, /)	Return self&value.
__array__()	Tensor.numpy() → numpy.ndarray
__bool__()	is_nonzero(input) -> (bool)
__contains__(element)	Check if element is present in tensor
__delattr__(name, /)	Implement delattr(self, name).
__delitem__(key, /)	Delete self[key].
__dir__()	Default dir() implementation.
__eq__(value, /)	Return self==value.
__float__()
__floordiv__(value, /)	Return self//value.
__format__(format_spec)	Default object formatter.
__ge__(value, /)	Return self>=value.
__getattribute__(name, /)	Return getattr(self, name).
__getitem__(key, /)	Return self[key].
__getstate__()
__gt__(value, /)	Return self>value.
__hash__()	Return hash(self).
__iadd__(other)
__imul__(value, /)	Return self*=value.
__index__()
__init__(*args, **kwargs)	Initialize self.
__init_subclass__	This method is called when a class is subclassed.
__int__()
__invert__()	~self
__ipow__(value, /)	Return self**=value.
__isub__(value, /)	Return self-=value.
__itruediv__(value, /)	Return self/=value.
__le__(value, /)	Return self<=value.
__len__()	Return len(self).
__lt__(value, /)	Return self<value.
__matmul__(value, /)	Return self@value.
__mod__(value, /)	Return self%value.
__mul__(value, /)	Return self*value.
__ne__(value, /)	Return self!=value.
__neg__()	-self
__new__(**kwargs)	Create and return a new object.
__or__(value, /)	Return self|value.
__pow__(value[, mod])	Return pow(self, value, mod).
__radd__(value, /)	Return value+self.
__rand__(value, /)	Return value&self.
__reduce__()	Helper for pickle.
__reduce_ex__(protocol, /)	Helper for pickle.
__repr__()	Return repr(self).
__rfloordiv__(value, /)	Return value//self.
__rmatmul__(value, /)	Return value@self.
__rmod__(value, /)	Return value%self.
__rmul__(value, /)	Return value*self.
__ror__(value, /)	Return value|self.
__rpow__(value[, mod])	Return pow(value, self, mod).
__rsub__(value, /)	Return value-self.
__rtruediv__(value, /)	Return value/self.
__rxor__(value, /)	Return value^self.
__setattr__(name, value, /)	Implement setattr(self, name, value).
__setitem__(key, value, /)	Set self[key] to value.
__setstate__(pickle_dict)
__sizeof__()	Size of object in memory, in bytes.
__str__()	Return str(self).
__sub__(value, /)	Return self-value.
__subclasshook__	Abstract classes can override this to customize issubclass().
__truediv__(value, /)	Return self/value.
__xor__(value, /)	Return self^value.
_copy_from_numpy
_copy_to_numpy
_meta_repr()
_register_post_grad_accumulation_hook
_register_storage_delete_hook
_zero_grad_
abs	See oneflow.abs()
acos	See oneflow.acos()
acosh	See oneflow.acosh()
add(other, *[, alpha])	See oneflow.add()
add_(other, *[, alpha])	In-place version of oneflow.Tensor.add().
addcdiv	See oneflow.addcdiv()
addcdiv_	In-place version of oneflow.Tensor.addcdiv()
addcmul	See oneflow.addcmul()
addcmul_	In-place version of oneflow.Tensor.addcmul().
addmm(mat1, mat2[, alpha, beta])	See oneflow.addmm()
all([dim, keepdim])	See oneflow.all()
allclose(other[, atol, rtol, equal_nan])
amax	See oneflow.amax()
amin	See oneflow.amin()
any([dim, keepdim])	See oneflow.any()
arccos	See oneflow.arccos()
arccosh	See oneflow.arccosh()
arcsin	See oneflow.arcsin()
arcsinh	See oneflow.arcsinh()
arctan	See oneflow.arctan()
arctanh	See oneflow.arctanh()
argmax	See oneflow.argmax()
argmin	See oneflow.argmin()
argsort([dim, descending])	See oneflow.argsort()
argwhere()	See oneflow.argwhere()
as_strided(size, stride[, storage_offset])
asin	See oneflow.asin()
asinh	See oneflow.asinh()
atan	See oneflow.atan()
atan2	See oneflow.atan2()
atanh	See oneflow.atanh()
backward([gradient, retain_graph, create_graph])	Computes the gradient of current tensor w.r.t. graph leaves.
bernoulli	See oneflow.bernoulli()
bernoulli_	The inplace version of oneflow.Tensor.bernoulli_().
bfloat16
bincount	See oneflow.bincount()
bmm	See oneflow.bmm()
bool	Tensor.bool() is equivalent to Tensor.to(oneflow.bool).
broadcast_to	See oneflow.broadcast_to()
byte	self.byte() is equivalent to self.to(oneflow.uint8).
cast	See oneflow.cast()
ceil	See oneflow.ceil()
check_meta_consistency
chunk	See oneflow.chunk()
clamp	See oneflow.clamp().
clamp_	Inplace version of oneflow.Tensor.clamp().
clamp_max
clamp_max_
clamp_min
clamp_min_
clip	Alias for oneflow.Tensor.clamp().
clip_	Alias for oneflow.Tensor.clamp_().
clone
contiguous
contiguous_
copy_(other)	Copies the elements from src into self tensor and returns self.
cos	See oneflow.cos()
cosh	See oneflow.cosh()
cpu	Returns a copy of this object in CPU memory.
cross(other[, dim])	See oneflow.cross()
cuda	Returns a copy of this object in CUDA memory.
cumprod(dim[, dtype])	See oneflow.cumprod()
cumsum(dim[, dtype])	See oneflow.cumsum()
detach
diag	See oneflow.diag()
diagonal	See oneflow.diagonal()
dim	Tensor.dim() → int
div	See oneflow.div()
div_(value)	In-place version of oneflow.Tensor.div().
dot	See oneflow.dot()
double	Tensor.double() is equivalent to Tensor.to(flow.float64).
element_size	Tensor.element_size() → int
eq(other)	See oneflow.eq()
equal	See oneflow.equal()
erf()	See oneflow.erf()
erfc()	See oneflow.erfc()
erfinv	See oneflow.erfinv()
erfinv_	Inplace version of oneflow.erfinv()
exp	See oneflow.exp()
expand()	See oneflow.expand()
expand_as(other)	Expand this tensor to the same size as other.
expm1	See oneflow.expm1()
exponential_([lambd, generator])
fill_(value)	Tensor.fill_(value) → Tensor
flatten	See oneflow.flatten()
flip	See oneflow.flip()
float	Tensor.float() is equivalent to Tensor.to(flow.float32).
floor	See oneflow.floor()
floor_	In-place version of oneflow.floor()
floor_divide
fmod(other)	See oneflow.fmod()
gather(dim, index)	See oneflow.gather()
ge	See oneflow.ge()
gelu
get_device()	For CUDA tensors, this function returns the device ordinal of the GPU on which the tensor resides.
global_id
global_to_global([placement, sbp, grad_sbp, …])	Performs Tensor placement and/or sbp conversion.
gt	See oneflow.gt()
half	self.half() is equivalent to self.to(dtype=oneflow.float16).
in_top_k(targets, predictions, k)	See oneflow.in_top_k()
index_add(dim, index, source[, alpha])
index_add_(dim, index, source, *[, alpha])	The interface is consistent with PyTorch.
index_select(dim, index)	See oneflow.index_select()
int	Tensor.int() is equivalent to Tensor.to(flow.int32).
inverse()
is_consistent()
is_contiguous()	Returns True if self tensor is contiguous in memory.
is_floating_point	See oneflow.is_floating_point()
is_pinned()	Returns true if this tensor resides in pinned memory.
isclose
isinf	See oneflow.isinf()
isnan	See oneflow.isnan()
item	Returns the value of this tensor as a standard Python number.
kaiming_normal_([a, mode, nonlinearity, …])
kaiming_uniform_([a, mode, nonlinearity, …])
le	See oneflow.le()
local_to_global([placement, sbp, check_meta])	Creates a global tensor from a local tensor.
log	See oneflow.log()
log10	See oneflow.log10()
log1p	See oneflow.log1p()
log2	See oneflow.log2()
log_softmax
logaddexp(other)
logical_and()	See oneflow.logical_and()
logical_not()	See oneflow.logical_not()
logical_or()	See oneflow.logical_or()
logical_xor()	See oneflow.logical_xor()
logsumexp	See oneflow.logsumexp()
long	Tensor.long() is equivalent to Tensor.to(flow.int64).
lt	See oneflow.lt()
masked_fill	See oneflow.masked_fill()
masked_fill_	In-place version of oneflow.Tensor.masked_fill().
masked_select(mask)	See oneflow.masked_select()
matmul	See oneflow.matmul()
max(dim, index)	See oneflow.max()
maximum	See oneflow.maximum()
mean([dim, keepdim])	See oneflow.mean()
median	See oneflow.median()
min(dim, index)	See oneflow.min()
minimum	See oneflow.minimum()
mish	See oneflow.mish()
mm(mat2)	See oneflow.mm()
mul(value)	See oneflow.mul()
mul_(value)	In-place version of oneflow.Tensor.mul().
mv(vec)	See oneflow.mv()
nansum	See oneflow.nansum()
narrow	See oneflow.narrow()
ndimension
ne	See oneflow.ne()
neg	See oneflow.neg()
negative	See oneflow.negative()
nelement	Tensor.nelement() → int
new_empty(*size[, dtype, device, placement, …])	Returns a Tensor of size size filled with uninitialized data.
new_full(size, fill_value[, dtype, device, …])	Returns a Tensor of size size filled with fill_value.
new_ones()	See oneflow.new_ones()
new_tensor(data[, dtype, device, …])
new_zeros([size, dtype, device, placement, …])	Returns a Tensor of size size filled with 0.
nms(scores, iou_threshold)	See oneflow.nms()
nonzero(input[, as_tuple])	See oneflow.nonzero()
norm([p, dim, keepdim, dtype])	See oneflow.norm()
normal_([mean, std, generator])	Fills self tensor with elements samples from the normal distribution parameterized by mean and std.
numel	See oneflow.numel()
numpy()	Tensor.numpy() → numpy.ndarray
orthogonal_([gain])
permute	See oneflow.permute()
pin_memory()	Copies the tensor to pinned memory, if it’s not already pinned.
pow	See oneflow.pow()
prod([dim, keepdim])	See oneflow.prod()
reciprocal	See oneflow.reciprocal()
register_hook(hook)	Registers a backward hook.
relu	See oneflow.relu()
relu_
repeat(*size)	See oneflow.repeat()
repeat_interleave(repeats[, dim, output_size])	See oneflow.repeat_interleave()
requires_grad_([requires_grad])	Sets this tensor’s requires_grad attribute in-place.
reshape	See oneflow.reshape()
reshape_as(other)	Returns this tensor as the same shape as other.
retain_grad	Enables this Tensor to have their grad populated during backward().
roll	See oneflow.roll()
round	See oneflow.round()
rsqrt	See oneflow.rsqrt()
scatter(dim, index, src, *[, reduce])	See oneflow.scatter()
scatter_(dim, index, src, *[, reduce])	Inplace version of oneflow.Tensor.scatter()
scatter_add(dim, index, src)	See oneflow.scatter_add()
scatter_add_(dim, index, src)	Inplace version of oneflow.Tensor.scatter_add()
selu	See oneflow.selu()
sigmoid	See oneflow.sigmoid()
sign	See oneflow.sign()
silu	See oneflow.silu()
sin()	See oneflow.sin()
sin_	See oneflow.sin_()
sinh	See oneflow.sinh()
size	Returns the size of the self tensor.
softmax	See oneflow.softmax()
softplus	See oneflow.softplus()
softsign	See oneflow.softsign()
sort([dim, descending])	See oneflow.sort()
split	See oneflow.split()
sqrt	See oneflow.sqrt()
square	See oneflow.square()
squeeze	See oneflow.squeeze()
std	See oneflow.std()
storage_offset()	Returns self tensor’s offset in the underlying storage in terms of number of storage elements (not bytes).
stride
sub(other)	See oneflow.sub()
sub_(value)	In-place version of oneflow.Tensor.sub().
sum([dim, keepdim])	See oneflow.sum()
swapaxes	See oneflow.swapaxes()
swapdims	See oneflow.swapdims()
t	See oneflow.t()
tan	See oneflow.tan()
tanh	See oneflow.tanh()
tile(*dims)	See oneflow.tile()
to(*args, **kwargs)	Performs Tensor dtype and/or device conversion.
to_consistent(*args, **kwargs)	This interface is no longer available, please use oneflow.Tensor.to_global() instead.
to_global([placement, sbp])	Creates a global tensor if this tensor is a local tensor, otherwise performs Tensor placement and/or sbp conversion.
to_local(**kwargs)	Returns the local component of this global tensor in the current rank.
to_numpy
tolist()	Returns the tensor as a (nested) list.
topk(k[, dim, largest, sorted])	See oneflow.topk()
transpose	See oneflow.transpose()
tril	See oneflow.tril()
triu	See oneflow.triu()
triu_
trunc()	See oneflow.trunc()
trunc_normal_([mean, std, a, b])
type([dtype, non_blocking])	Returns the type if dtype is not provided, else casts this object to the specified type.
type_as(target)	Returns this tensor cast to the type of the given tensor.
unbind	See oneflow.unbind()
unfold	Returns a view of the original tensor which contains all slices of size size from self tensor in the dimension dimension.
uniform_([a, b])	Tensor.uniform_(from=0, to=1) → Tensor
unique	See oneflow.unique()
unsqueeze	See oneflow.unsqueeze()
var	See oneflow.var()
view	Returns a new tensor with the same data as the self tensor but of a different shape.
view_as(other)	Expand this tensor to the same size as other.
where([x, y])	See oneflow.where()
xavier_normal_([gain])
xavier_uniform_([gain])
zero_()	Fills self tensor with zeros.

Attributes

T	Is this Tensor with its dimensions reversed.
_tensor_buffer_shapes_and_dtypes
data
device	Is the oneflow.device where this Tensor is, which is invalid for global tensor.
dtype
grad	Return the gradient calculated by autograd functions.
grad_fn	Return the function that created this tensor if it’s requires_grad is True.
is_cuda	Is True if the Tensor is stored on the GPU, False otherwise.
is_eager
is_global	Return whether this Tensor is a global tensor.
is_lazy	Return whether this Tensor is a lazy tensor.
is_leaf	All Tensors that have requires_grad which is False will be leaf Tensors by convention.
is_local
ndim	See oneflow.Tensor.dim()
placement	Is the oneflow.placement where this Tensor is, which is invalid for local tensor.
requires_grad	Is True if gradient need to be computed for this Tensor, False otherwise.
sbp	Is the oneflow.sbp representing that how the data of the global tensor is distributed, which is invalid for local tensor.
shape