|
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) |
|
Definition at line 20 of file tensor.py.