Scalar Class Reference

Public Member Functions
neml2.Scalar	__add__ (neml2.Scalar self, neml2.Scalar arg0)
neml2.Scalar	__add__ (neml2.Scalar self, float arg0)
neml2.Scalar	__iadd__ (neml2.Scalar self, float arg0)
neml2.Scalar	__imul__ (neml2.Scalar self, float arg0)
None	__init__ (self)
None	__init__ (self, torch.Tensor tensor, int dynamic_dim, int intmd_dim)
None	__init__ (self, neml2.Vec other)
None	__init__ (self, neml2.Rot other)
None	__init__ (self, neml2.WR2 other)
None	__init__ (self, neml2.R2 other)
None	__init__ (self, neml2.SR2 other)
None	__init__ (self, neml2.R3 other)
None	__init__ (self, neml2.SFR3 other)
None	__init__ (self, neml2.R4 other)
None	__init__ (self, neml2.SFFR4 other)
None	__init__ (self, neml2.WFFR4 other)
None	__init__ (self, neml2.SSR4 other)
None	__init__ (self, neml2.SWR4 other)
None	__init__ (self, neml2.WSR4 other)
None	__init__ (self, neml2.WWR4 other)
None	__init__ (self, neml2.Quaternion other)
None	__init__ (self, neml2.MillerIndex other)
None	__init__ (self, neml2.Tensor other)
None	__init__ (self, neml2.Scalar other)
None	__init__ (self, torch.Tensor tensor, int intmd_dim=0)
neml2.Scalar	__isub__ (neml2.Scalar self, float arg0)
neml2.Scalar	__itruediv__ (neml2.Scalar self, float arg0)
neml2.Scalar	__mul__ (neml2.Scalar self, neml2.Scalar arg0)
neml2.Scalar	__mul__ (neml2.Scalar self, float arg0)
neml2.Scalar	__neg__ (neml2.Scalar self)
neml2.Scalar	__pow__ (neml2.Scalar self, float arg0)
neml2.Scalar	__radd__ (neml2.Scalar self, float arg0)
str	__repr__ (neml2.Scalar self)
neml2.Scalar	__rmul__ (neml2.Scalar self, float arg0)
neml2.Scalar	__rpow__ (neml2.Scalar self, float arg0)
neml2.Scalar	__rsub__ (neml2.Scalar self, float arg0)
neml2.Scalar	__rtruediv__ (neml2.Scalar self, float arg0)
str	__str__ (neml2.Scalar self)
neml2.Scalar	__sub__ (neml2.Scalar self, neml2.Scalar arg0)
neml2.Scalar	__sub__ (neml2.Scalar self, float arg0)
neml2.Scalar	__truediv__ (neml2.Scalar self, neml2.Scalar arg0)
neml2.Scalar	__truediv__ (neml2.Scalar self, float arg0)
neml2.Scalar	clone (neml2.Scalar self)
neml2.Scalar	contiguous (neml2.Scalar self)
torch.Tensor	copy_ (neml2.Scalar self, torch.Tensor arg0, bool arg1)
bool	defined (neml2.Scalar self)
neml2.Scalar	detach (neml2.Scalar self)
torch.Tensor	detach_ (neml2.Scalar self)
int	dim (neml2.Scalar self)
Number|torch.SymInt|torch.SymFloat|torch.SymBool	item (neml2.Scalar self)
neml2.Scalar	norm (neml2.Scalar self)
torch.Tensor	requires_grad_ (neml2.Scalar self, bool arg0)
neml2.Tensor	tensor (neml2.Scalar self)
neml2.Scalar	to (neml2.Scalar self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (neml2.Scalar self)
torch.Tensor	zero_ (neml2.Scalar self)
ScalarBaseView	base (self)
ScalarBatchView	batch (self)
torch.device	device (self)
torch.dtype	dtype (self)
ScalarDynamicView	dynamic (self)
torch.Tensor	grad (self)
ScalarIntmdView	intmd (self)
bool	requires_grad (self)
tuple[int,...]	shape (self)
ScalarStaticView	static (self)

Static Public Member Functions
neml2.Scalar	dynamic_linspace (neml2.Scalar start, neml2.Scalar end, int step, int dim=0)
neml2.Scalar	dynamic_logspace (neml2.Scalar start, neml2.Scalar end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
neml2.Scalar	empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	empty_like (neml2.Scalar arg0)
neml2.Scalar	full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	full (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	full_like (neml2.Scalar other, float fill_value)
neml2.Scalar	intmd_linspace (neml2.Scalar start, neml2.Scalar end, int step, int dim=0)
neml2.Scalar	intmd_logspace (neml2.Scalar start, neml2.Scalar end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
neml2.Scalar	ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	ones_like (neml2.Scalar arg0)
neml2.Scalar	rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	rand_like (neml2.Scalar arg0)
neml2.Scalar	zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
neml2.Scalar	zeros_like (neml2.Scalar arg0)

Constructor & Destructor Documentation

__init__() [1/21]

None __init__

(

self

)

__init__() [2/21]

None __init__	(		self,
		torch.Tensor	tensor,
		int	dynamic_dim,
		int	intmd_dim )

__init__() [3/21]

None __init__	(		self,
		neml2.Vec	other )

__init__() [4/21]

None __init__	(		self,
		neml2.Rot	other )

__init__() [5/21]

None __init__	(		self,
		neml2.WR2	other )

__init__() [6/21]

None __init__	(		self,
		neml2.R2	other )

__init__() [7/21]

None __init__	(		self,
		neml2.SR2	other )

__init__() [8/21]

None __init__	(		self,
		neml2.R3	other )

__init__() [9/21]

None __init__	(		self,
		neml2.SFR3	other )

__init__() [10/21]

None __init__	(		self,
		neml2.R4	other )

__init__() [11/21]

None __init__	(		self,
		neml2.SFFR4	other )

__init__() [12/21]

None __init__	(		self,
		neml2.WFFR4	other )

__init__() [13/21]

None __init__	(		self,
		neml2.SSR4	other )

__init__() [14/21]

None __init__	(		self,
		neml2.SWR4	other )

__init__() [15/21]

None __init__	(		self,
		neml2.WSR4	other )

__init__() [16/21]

None __init__	(		self,
		neml2.WWR4	other )

__init__() [17/21]

None __init__	(		self,
		neml2.Quaternion	other )

__init__() [18/21]

None __init__	(		self,
		neml2.MillerIndex	other )

__init__() [19/21]

None __init__	(		self,
		neml2.Tensor	other )

__init__() [20/21]

None __init__	(		self,
		neml2.Scalar	other )

__init__() [21/21]

None __init__	(		self,
		torch.Tensor	tensor,
		int	intmd_dim = 0 )

Member Function Documentation

__add__() [1/2]

neml2.Scalar __add__	(	neml2.Scalar	self,
		float	arg0 )

__add__() [2/2]

neml2.Scalar __add__	(	neml2.Scalar	self,
		neml2.Scalar	arg0 )

__iadd__()

neml2.Scalar __iadd__	(	neml2.Scalar	self,
		float	arg0 )

__imul__()

neml2.Scalar __imul__	(	neml2.Scalar	self,
		float	arg0 )

__isub__()

neml2.Scalar __isub__	(	neml2.Scalar	self,
		float	arg0 )

__itruediv__()

neml2.Scalar __itruediv__	(	neml2.Scalar	self,
		float	arg0 )

__mul__() [1/2]

neml2.Scalar __mul__	(	neml2.Scalar	self,
		float	arg0 )

__mul__() [2/2]

neml2.Scalar __mul__	(	neml2.Scalar	self,
		neml2.Scalar	arg0 )

__neg__()

neml2.Scalar __neg__

(

neml2.Scalar

self

)

__pow__()

neml2.Scalar __pow__	(	neml2.Scalar	self,
		float	arg0 )

__radd__()

neml2.Scalar __radd__	(	neml2.Scalar	self,
		float	arg0 )

__repr__()

str __repr__

(

neml2.Scalar

self

)

__rmul__()

neml2.Scalar __rmul__	(	neml2.Scalar	self,
		float	arg0 )

__rpow__()

neml2.Scalar __rpow__	(	neml2.Scalar	self,
		float	arg0 )

__rsub__()

neml2.Scalar __rsub__	(	neml2.Scalar	self,
		float	arg0 )

__rtruediv__()

neml2.Scalar __rtruediv__	(	neml2.Scalar	self,
		float	arg0 )

__str__()

str __str__

(

neml2.Scalar

self

)

__sub__() [1/2]

neml2.Scalar __sub__	(	neml2.Scalar	self,
		float	arg0 )

__sub__() [2/2]

neml2.Scalar __sub__	(	neml2.Scalar	self,
		neml2.Scalar	arg0 )

__truediv__() [1/2]

neml2.Scalar __truediv__	(	neml2.Scalar	self,
		float	arg0 )

__truediv__() [2/2]

neml2.Scalar __truediv__	(	neml2.Scalar	self,
		neml2.Scalar	arg0 )

base()

ScalarBaseView base

(

self

)

batch()

ScalarBatchView batch

(

self

)

clone()

neml2.Scalar clone

(

neml2.Scalar

self

)

contiguous()

neml2.Scalar contiguous

(

neml2.Scalar

self

)

copy_()

torch.Tensor copy_	(	neml2.Scalar	self,
		torch.Tensor	arg0,
		bool	arg1 )

defined()

bool defined

(

neml2.Scalar

self

)

detach()

neml2.Scalar detach

(

neml2.Scalar

self

)

detach_()

torch.Tensor detach_

(

neml2.Scalar

self

)

device()

torch.device device

(

self

)

dim()

int dim

(

neml2.Scalar

self

)

dtype()

torch.dtype dtype

(

self

)

dynamic()

ScalarDynamicView dynamic

(

self

)

dynamic_linspace()

neml2.Scalar dynamic_linspace ( neml2.Scalar start, neml2.Scalar end, int step, int dim = 0 )

static

dynamic_logspace()

neml2.Scalar dynamic_logspace ( neml2.Scalar start, neml2.Scalar end, int step, int dim = 0, Number | torch.SymInt | torch.SymFloat | torch.SymBool base = 10.0 )

static

empty() [1/2]

neml2.Scalar empty ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty() [2/2]

neml2.Scalar empty ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty_like()

neml2.Scalar empty_like ( neml2.Scalar arg0 )

static

full() [1/2]

neml2.Scalar full ( float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full() [2/2]

neml2.Scalar full ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes, float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full_like()

neml2.Scalar full_like ( neml2.Scalar other, float fill_value )

static

grad()

torch.Tensor grad

(

self

)

intmd()

ScalarIntmdView intmd

(

self

)

intmd_linspace()

neml2.Scalar intmd_linspace ( neml2.Scalar start, neml2.Scalar end, int step, int dim = 0 )

static

intmd_logspace()

neml2.Scalar intmd_logspace ( neml2.Scalar start, neml2.Scalar end, int step, int dim = 0, Number | torch.SymInt | torch.SymFloat | torch.SymBool base = 10.0 )

static

item()

Number | torch.SymInt | torch.SymFloat | torch.SymBool item

(

neml2.Scalar

self

)

norm()

neml2.Scalar norm

(

neml2.Scalar

self

)

ones() [1/2]

neml2.Scalar ones ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones() [2/2]

neml2.Scalar ones ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones_like()

neml2.Scalar ones_like ( neml2.Scalar arg0 )

static

rand() [1/2]

neml2.Scalar rand ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand() [2/2]

neml2.Scalar rand ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand_like()

neml2.Scalar rand_like ( neml2.Scalar arg0 )

static

requires_grad()

bool requires_grad

(

self

)

requires_grad_()

torch.Tensor requires_grad_	(	neml2.Scalar	self,
		bool	arg0 )

shape()

tuple[int, ...] shape

(

self

)

static()

ScalarStaticView static

(

self

)

tensor()

neml2.Tensor tensor

(

neml2.Scalar

self

)

to()

neml2.Scalar to	(	neml2.Scalar	self,
		*	,
		torch.dtype	dtype = ...,
		torch.device	device = ...,
		bool	requires_grad = False )

torch()

torch.Tensor torch

(

neml2.Scalar

self

)

zero_()

torch.Tensor zero_

(

neml2.Scalar

self

)

zeros() [1/2]

neml2.Scalar zeros ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros() [2/2]

neml2.Scalar zeros ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros_like()

neml2.Scalar zeros_like ( neml2.Scalar arg0 )

static