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Tensor | __add__ (self, float arg0) |
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Tensor | __add__ (self, Scalar arg0) |
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Tensor | __add__ (self, Tensor arg0) |
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None | __init__ (self) |
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None | __init__ (self, torch.Tensor arg0, int arg1) |
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None | __init__ (self, Tensor arg0) |
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None | __init__ (self, Vec arg0) |
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None | __init__ (self, Rot arg0) |
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None | __init__ (self, WR2 arg0) |
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None | __init__ (self, R2 arg0) |
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None | __init__ (self, Scalar arg0) |
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None | __init__ (self, SR2 arg0) |
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None | __init__ (self, R3 arg0) |
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None | __init__ (self, SFR3 arg0) |
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None | __init__ (self, R4 arg0) |
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None | __init__ (self, SSR4 arg0) |
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None | __init__ (self, SFFR4 arg0) |
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None | __init__ (self, SWR4 arg0) |
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None | __init__ (self, WSR4 arg0) |
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None | __init__ (self, WWR4 arg0) |
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None | __init__ (self, R5 arg0) |
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None | __init__ (self, SSFR5 arg0) |
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None | __init__ (self, Quaternion arg0) |
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None | __init__ (self, MillerIndex arg0) |
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None | __init__ (self, SSSSR8 arg0) |
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None | __init__ (self, R8 arg0) |
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Tensor | __mul__ (self, float arg0) |
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Tensor | __mul__ (self, Scalar arg0) |
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Tensor | __neg__ (self) |
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Tensor | __pow__ (self, float arg0) |
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Tensor | __pow__ (self, Scalar arg0) |
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Tensor | __pow__ (self, Tensor arg0) |
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Tensor | __radd__ (self, float arg0) |
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str | __repr__ (self) |
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Tensor | __rmul__ (self, float arg0) |
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Tensor | __rpow__ (self, float arg0) |
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Tensor | __rsub__ (self, float arg0) |
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Tensor | __rtruediv__ (self, float arg0) |
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str | __str__ (self) |
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Tensor | __sub__ (self, float arg0) |
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Tensor | __sub__ (self, Scalar arg0) |
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Tensor | __sub__ (self, Tensor arg0) |
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Tensor | __truediv__ (self, float arg0) |
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Tensor | __truediv__ (self, Scalar arg0) |
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Tensor | __truediv__ (self, Tensor arg0) |
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bool | batched (self) |
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Tensor | clone (self) |
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torch.Tensor | copy_ (self, torch.Tensor arg0, bool arg1) |
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bool | defined (self) |
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Tensor | detach (self) |
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torch.Tensor | detach_ (self) |
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int | dim (self) |
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torch.Tensor | requires_grad_ (self, bool arg0) |
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Tensor | to (self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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torch.Tensor | torch (self) |
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torch.Tensor | zero_ (self) |
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TensorBaseView | base (self) |
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TensorBatchView | batch (self) |
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torch.device | device (self) |
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torch.dtype | dtype (self) |
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torch.Tensor | grad (self) |
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bool | requires_grad (self) |
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tuple[int,...] | shape (self) |
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Tensor | empty (tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | empty (tuple[int,...] batch_shape, tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | empty_like (Tensor arg0) |
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Tensor | full (tuple[int,...] base_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | full (tuple[int,...] batch_shape, tuple[int,...] base_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | full_like (Tensor arg0, float arg1) |
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Tensor | identity (int n, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | identity (tuple[int,...] batch_shape, int n, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | linspace (Tensor start, Tensor end, int nstep, int dim=0) |
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Tensor | logspace (Tensor start, Tensor end, int nstep, int dim=0, float base=10.0) |
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Tensor | ones (tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | ones (tuple[int,...] batch_shape, tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | ones_like (Tensor arg0) |
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Tensor | zeros (tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | zeros (tuple[int,...] batch_shape, tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Tensor | zeros_like (Tensor arg0) |
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