yobx.torch.interpreter._aten_methods#
- yobx.torch.interpreter._aten_methods.aten_meth___eq__(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, y: str, name='meth__eq___') str[source]#
equal
- yobx.torch.interpreter._aten_methods.aten_meth_bool(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
cast
- yobx.torch.interpreter._aten_methods.aten_meth_clamp_max(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, max_: str, name: str = 'meth_clamp_max') str[source]#
meth_clamp_max
- yobx.torch.interpreter._aten_methods.aten_meth_clamp_min(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, min_: str, name: str = 'meth_clamp_min') str[source]#
meth_clamp_min
- yobx.torch.interpreter._aten_methods.aten_meth_clone(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
identity
- yobx.torch.interpreter._aten_methods.aten_meth_contiguous(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
identity
- yobx.torch.interpreter._aten_methods.aten_meth_cos(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
cos
- yobx.torch.interpreter._aten_methods.aten_meth_cpu(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
identity
- yobx.torch.interpreter._aten_methods.aten_meth_detach(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
identity
- yobx.torch.interpreter._aten_methods.aten_meth_eq(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, y: str, name='meth_eq') str[source]#
equal
- yobx.torch.interpreter._aten_methods.aten_meth_expand(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, *dims: List[int]) str[source]#
expand
- yobx.torch.interpreter._aten_methods.aten_meth_expand_as(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, y: str, name: str = 'aten_meth_expand_as') str[source]#
expand_as
- yobx.torch.interpreter._aten_methods.aten_meth_float(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
cast
- yobx.torch.interpreter._aten_methods.aten_meth_item(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, name: str = 'aten_meth_item') str[source]#
float(x)
- yobx.torch.interpreter._aten_methods.aten_meth_masked_fill(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, mask: str, value: Any, name: str = 'aten_meth_masked_fill') str[source]#
masked_fill
- yobx.torch.interpreter._aten_methods.aten_meth_masked_fill_(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, mask: str, value: Any) str[source]#
masked
- yobx.torch.interpreter._aten_methods.aten_meth_mean(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, dim: str, keepdim: bool = False) str[source]#
reducemean
- yobx.torch.interpreter._aten_methods.aten_meth_numel(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, name: str = 'meth_numel') str[source]#
meth_numel
- yobx.torch.interpreter._aten_methods.aten_meth_pow(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, exponent: str) str[source]#
pow
- yobx.torch.interpreter._aten_methods.aten_meth_repeat(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, *repeats: List[int]) str[source]#
repeat
- yobx.torch.interpreter._aten_methods.aten_meth_reshape(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], input_name: str, *shape: List[int], name: str = 'reshape') str[source]#
reshape
- yobx.torch.interpreter._aten_methods.aten_meth_sin(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
sin
- yobx.torch.interpreter._aten_methods.aten_meth_size(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, dim: int | None = None, name: str = '.size') str[source]#
size
- yobx.torch.interpreter._aten_methods.aten_meth_sum(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, axis: str, keepdim: bool = False, dim: int | None = None) str[source]#
reducesum
- yobx.torch.interpreter._aten_methods.aten_meth_t(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
transpose
- yobx.torch.interpreter._aten_methods.aten_meth_to(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], input_name: str, *args: List[Any], name: str = '.to', **kwargs: Dict[str, Any]) str[source]#
cast
- yobx.torch.interpreter._aten_methods.aten_meth_transpose(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], input_name: str, dim0: int, dim1: int) str[source]#
transpose