Functionconverter_amax(input: Tensor, dim: Union[_int, _size]=(), keepdim: _bool=False, *, out: Optional[Tensor]=None)
nobuco/node_converters/reduce.py:231
Functionconverter_amin(input: Tensor, dim: Union[_int, _size]=(), keepdim: _bool=False, *, out: Optional[Tensor]=None)
nobuco/node_converters/reduce.py:219
Functionconverter_arange(start: Number, end: Number=None, step: Number=1, *, out: Optional[Tensor]=None, dtype: Optional[_dtype]=None,
nobuco/node_converters/math.py:286
Functionconverter_asarray(obj: Any, *, dtype: Optional[_dtype] = None, device: Union[_device, str, None] = None, copy: Optional[_bool]
nobuco/node_converters/tensor_creation.py:63
Functionconverter_avg_pool2d(input, kernel_size, stride=None, padding=0, ceil_mode=False, count_include_pad=True, divisor_override=None)
nobuco/node_converters/pooling.py:44
Functionconverter_baddbmm(input: Tensor, batch1: Tensor, batch2: Tensor, *, beta: Number=1, alpha: Number=1, out: Optional[Tensor]=None
nobuco/node_converters/linear.py:91
Functionconverter_canonical_mask(mask: Optional[Tensor], mask_name: str, other_type: Optional, other_name: str, target_type, check_other: bool
nobuco/node_converters/tensor_creation.py:228
Functionconverter_cat(tensors: Union[Tuple[Tensor, ...], List[Tensor]], dim=0, *, out: Optional[Tensor]=None)
nobuco/node_converters/tensor_manipulation.py:109
Functionconverter_conv1d(input: Tensor, weight: Tensor, bias: Optional[Tensor] = None, stride: Union[_int, _size] = 1,
nobuco/node_converters/convolution.py:95
Functionconverter_conv2d(input: Tensor, weight: Tensor, bias: Optional[Tensor] = None, stride: Union[_int, _size] = 1,
nobuco/node_converters/convolution.py:382
Functionconverter_conv_transpose1d(input: Tensor, weight: Tensor, bias: Optional[Tensor] = None, stride = 1, padding = 0, output_padding = 0, gr
nobuco/node_converters/convolution.py:239
Functionconverter_div(input: Union[Tensor, Number], other: Union[Tensor, Number], *, rounding_mode: Optional[str] = None, out: Opti
nobuco/node_converters/math.py:85
Functionconverter_empty(*size: _int, names: Optional[Sequence[Union[str, None]]]=None, memory_format = None, dtype = None, layout = N
nobuco/node_converters/tensor_creation.py:119
Functionconverter_empty_like(input: Tensor, *, memory_format=None, dtype=None, layout=None, device=None, pin_memory=False, requires_grad=F
nobuco/node_converters/tensor_creation.py:198
Functionconverter_floor_divide(input: Union[Tensor, Number], other: Union[Tensor, Number], *, out: Optional[Tensor]=None)
nobuco/node_converters/math.py:106
Functionconverter_full(size: _size, fill_value: Number, *, names=None, dtype: Optional[_dtype]=None, layout: Optional[_layout]=None,
nobuco/node_converters/tensor_creation.py:131
Functionconverter_full_like(input: Tensor, fill_value: Number, *, memory_format=None, dtype=None, layout=None, device=None, pin_memory=Fa
nobuco/node_converters/tensor_creation.py:206
Functionconverter_gather(input: Tensor, dim, index: Tensor, *, sparse_grad: _bool=False, out: Optional[Tensor]=None)
nobuco/node_converters/tensor_manipulation.py:326
Functionconverter_irfft2(input, s=None, dim=(-2, -1), norm=None, *, out=None)
nobuco/node_converters/fft.py:47
Functionconverter_istft(input, n_fft, hop_length=None, win_length=None, window=None,
center=True, normalized=Fals
nobuco/node_converters/fft.py:110