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A deep learning, cross platform ML framework
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torch.tensor.Tensor Class Reference
Inheritance diagram for torch.tensor.Tensor:

Public Member Functions

def __deepcopy__ (self, memo)
def __reduce_ex__ (self, proto)
def __setstate__ (self, state)
def __repr__ (self)
def backward (self, gradient=None, retain_graph=None, create_graph=False)
def register_hook (self, hook)
def reinforce (self, reward)
def retain_grad (self)
def is_pinned (self)
def is_shared (self)
def share_memory_ (self)
def __reversed__ (self)
def norm (self, p="fro", dim=None, keepdim=False, dtype=None)
def potrf (self, upper=True)
def pstrf (self, upper=True)
def potrs (self, u, upper=True)
def gesv (self, A)
def stft (self, n_fft, hop_length=None, win_length=None, window=None, center=True, pad_mode='reflect', normalized=False, onesided=True)
def resize (self, sizes)
def resize_as (self, tensor)
def split (self, split_size, dim=0)
def unique (self, sorted=True, return_inverse=False, dim=None)
def __rsub__ (self, other)
def __rdiv__ (self, other)
def __format__ (self, format_spec)
def __ipow__ (self, other)
def __rpow__ (self, other)
def __floordiv__ (self, other)
def __rfloordiv__ (self, other)
def __len__ (self)
def __iter__ (self)
def __hash__ (self)
def __dir__ (self)
def __array__ (self, dtype=None)
def __array_wrap__ (self, array)
def __contains__ (self, element)
def __cuda_array_interface__ (self)

Public Attributes


Static Public Attributes


Detailed Description

Definition at line 20 of file

Member Function Documentation

def torch.tensor.Tensor.__cuda_array_interface__ (   self)
Array view description for cuda tensors.


Definition at line 446 of file

The documentation for this class was generated from the following file: