NEML2 2.0.0
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Public Member Functions | |
SSR4 | __add__ (self, float arg0) |
SSR4 | __add__ (self, Scalar arg0) |
SSR4 | __add__ (self, SSR4 arg0) |
SSR4 | __iadd__ (self, float arg0) |
SSR4 | __imul__ (self, float arg0) |
None | __init__ (self) |
None | __init__ (self, torch.Tensor arg0, int arg1) |
None | __init__ (self, SSR4 arg0) |
None | __init__ (self, torch.Tensor arg0) |
SSR4 | __isub__ (self, float arg0) |
SSR4 | __itruediv__ (self, float arg0) |
SSR4 | __mul__ (self, float arg0) |
SSR4 | __mul__ (self, Scalar arg0) |
SR2 | __mul__ (self, SR2 arg0) |
SSR4 | __mul__ (self, SSR4 arg0) |
SSR4 | __neg__ (self) |
SSR4 | __pow__ (self, float arg0) |
SSR4 | __pow__ (self, Scalar arg0) |
SSR4 | __radd__ (self, float arg0) |
str | __repr__ (self) |
SSR4 | __rmul__ (self, float arg0) |
SR2 | __rmul__ (self, SR2 arg0) |
Tensor | __rpow__ (self, float arg0) |
SSR4 | __rsub__ (self, float arg0) |
SSR4 | __rtruediv__ (self, float arg0) |
str | __str__ (self) |
SSR4 | __sub__ (self, float arg0) |
SSR4 | __sub__ (self, Scalar arg0) |
SSR4 | __sub__ (self, SSR4 arg0) |
SSR4 | __truediv__ (self, float arg0) |
SSR4 | __truediv__ (self, Scalar arg0) |
torch.Tensor | __truediv__ (self, SSR4 arg0) |
bool | batched (self) |
SSR4 | clone (self) |
torch.Tensor | copy_ (self, torch.Tensor arg0, bool arg1) |
bool | defined (self) |
SSR4 | detach (self) |
torch.Tensor | detach_ (self) |
int | dim (self) |
Number|torch.SymInt|torch.SymFloat|torch.SymBool | item (self) |
torch.Tensor | requires_grad_ (self, bool arg0) |
SSR4 | rotate (self, Rot arg0) |
Tensor | tensor (self) |
SSR4 | to (self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
torch.Tensor | torch (self) |
torch.Tensor | torch (self) |
torch.Tensor | zero_ (self) |
SSR4BaseView | base (self) |
SSR4BatchView | batch (self) |
torch.device | device (self) |
torch.dtype | dtype (self) |
torch.Tensor | grad (self) |
bool | requires_grad (self) |
tuple[int,...] | shape (self) |
Static Public Member Functions | |
SSR4 | empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | empty (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | empty_like (SSR4 arg0) |
SSR4 | full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | full (tuple[int,...] batch_shape, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | full_like (SSR4 arg0, float arg1) |
SSR4 | identity (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | identity_C1 (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | identity_C2 (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | identity_C3 (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | identity_dev (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | identity_sym (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | identity_vol (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | isotropic_E_nu (Scalar arg0, Scalar arg1) |
SSR4 | isotropic_E_nu (float E, float nu, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | linspace (SSR4 start, SSR4 end, int nstep, int dim=0) |
SSR4 | logspace (SSR4 start, SSR4 end, int nstep, int dim=0, float base=10.0) |
SSR4 | ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | ones (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | ones_like (SSR4 arg0) |
SSR4 | zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | zeros (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
SSR4 | zeros_like (SSR4 arg0) |
None __init__ | ( | self | ) |
None __init__ | ( | self, | |
torch.Tensor | arg0, | ||
int | arg1 ) |
None __init__ | ( | self, | |
SSR4 | arg0 ) |
None __init__ | ( | self, | |
torch.Tensor | arg0 ) |
SSR4 __add__ | ( | self, | |
float | arg0 ) |
SSR4 __iadd__ | ( | self, | |
float | arg0 ) |
SSR4 __imul__ | ( | self, | |
float | arg0 ) |
SSR4 __isub__ | ( | self, | |
float | arg0 ) |
SSR4 __itruediv__ | ( | self, | |
float | arg0 ) |
SSR4 __mul__ | ( | self, | |
float | arg0 ) |
SSR4 __neg__ | ( | self | ) |
SSR4 __pow__ | ( | self, | |
float | arg0 ) |
SSR4 __radd__ | ( | self, | |
float | arg0 ) |
str __repr__ | ( | self | ) |
SSR4 __rmul__ | ( | self, | |
float | arg0 ) |
Tensor __rpow__ | ( | self, | |
float | arg0 ) |
SSR4 __rsub__ | ( | self, | |
float | arg0 ) |
SSR4 __rtruediv__ | ( | self, | |
float | arg0 ) |
str __str__ | ( | self | ) |
SSR4 __sub__ | ( | self, | |
float | arg0 ) |
SSR4 __truediv__ | ( | self, | |
float | arg0 ) |
torch.Tensor __truediv__ | ( | self, | |
SSR4 | arg0 ) |
SSR4BaseView base | ( | self | ) |
SSR4BatchView batch | ( | self | ) |
bool batched | ( | self | ) |
SSR4 clone | ( | self | ) |
torch.Tensor copy_ | ( | self, | |
torch.Tensor | arg0, | ||
bool | arg1 ) |
bool defined | ( | self | ) |
SSR4 detach | ( | self | ) |
torch.Tensor detach_ | ( | self | ) |
torch.device device | ( | self | ) |
int dim | ( | self | ) |
torch.dtype dtype | ( | self | ) |
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torch.Tensor grad | ( | self | ) |
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Number | torch.SymInt | torch.SymFloat | torch.SymBool item | ( | self | ) |
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bool requires_grad | ( | self | ) |
torch.Tensor requires_grad_ | ( | self, | |
bool | arg0 ) |
tuple[int, ...] shape | ( | self | ) |
Tensor tensor | ( | self | ) |
SSR4 to | ( | self, | |
* | , | ||
torch.dtype | dtype = ..., | ||
torch.device | device = ..., | ||
bool | requires_grad = False ) |
torch.Tensor torch | ( | self | ) |
torch.Tensor torch | ( | self | ) |
torch.Tensor zero_ | ( | self | ) |
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