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_abs(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
abs.
- 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_exp(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
exp.
- 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_flatten(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, start_dim: int = 0, end_dim: int = -1) str[source]#
flatten.
- 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_log(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
log.
- 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_max(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, dim: int | None = None, keepdim: bool = False) str[source]#
max.
- yobx.torch.interpreter._aten_methods.aten_meth_mean(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, dim: str | None = None, keepdim: bool = False) str[source]#
reducemean.
- yobx.torch.interpreter._aten_methods.aten_meth_min(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, dim: int | None = None, keepdim: bool = False) str[source]#
min.
- yobx.torch.interpreter._aten_methods.aten_meth_neg(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
neg.
- 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_permute(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, *dims: Sequence[int]) str[source]#
permute.
- 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_relu(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
relu.
- 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_shape(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, name: str = '.shape') str[source]#
shape
- yobx.torch.interpreter._aten_methods.aten_meth_sigmoid(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
sigmoid.
- 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_softmax(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, dim: int = -1) str[source]#
softmax.
- yobx.torch.interpreter._aten_methods.aten_meth_sqrt(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
sqrt.
- yobx.torch.interpreter._aten_methods.aten_meth_squeeze(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, dim: int | None = None) str[source]#
squeeze.
- yobx.torch.interpreter._aten_methods.aten_meth_sum(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str, axis: str | None = None, 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_tanh(g: GraphBuilder, sts: Dict[str, Any] | None, outputs: List[str], x: str) str[source]#
tanh.
- 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