axis=0, unsafe=False: -1, # noqa: B950 torch.select: lambda input, dim, index: -1, torch.select_scatter: lambda input, src, dim, index: -1, torch.slice_inverse: lambda input, src, dim=0, start=None, end=None, step=1: -1, torch.slice_scatter: lambda input, src, dim=0,...
When DT is fully spin polarized, the neutrons produced are emitted in a Gaussian distribution along the spin axis with a full width at half max of roughly 48.5°. There is, approximately, a 0.54% baseline percentage of neutrons emitted in all directions even when spin polarized, but this num...
q_per_channel_axis()) else: raise RuntimeError(f"Serialization is not supported for tensors of type {self.qscheme()}") args_qtensor = (self.storage(), self.storage_offset(), tuple(self.size()), self.stride(), quantizer_params, self.requires_grad, backward_hooks) return (torch._...
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:param dim: The axis along which to index. (default: :obj:`-1`) :param out: The destination tensor.:param dim_size: If :attr:`out` is not given, automatically create output with size :attr:`dim_size` at dimension :attr:`dim`....
x, self.factors, axis=-1) norms = [torch.norm(b, dim=-1, keepdim=True)forbinbands] bands = [b / (n +1e-8)for(b, n)inzip(bands, norms)] fine = torch.cat(bands, dim=-1) coarse = torch.cat(norms, dim=-1) coarse_norms = torch.norm(coarse, dim=-1, keepdim=True) ...
q_per_channel_axis()) else: raise RuntimeError(f"Serialization is not supported for tensors of type {self.qscheme()}") args_qtensor = (self.storage(), self.storage_offset(), tuple(self.size()), self.stride(), quantizer_params, self.requires_grad, backward_hooks) return (torch._...
torch.hann_window(window_length, periodic=True, dtype=None, layout=torch.strided, device=None, requires_grad=False) → Tensor torch.bincount(input, weights=None, minlength=0) → Tensor torch.broadcast_tensors(*tensors) → List of Tensors[source] ...
The present invention concerns a plasma torch (1) of the type comprising: a first element (20) provided with a through opening (21) for the exit of a plasma flow; a hollow electrode (19) which develops longitudinally along a main axis (X) and can be positioned with respect to the ...
simple audio I/O for pytorch. Contribute to faroit/torchaudio development by creating an account on GitHub.