yobx.torch._model_eval_cases

class yobx.torch._model_eval_cases.AtenAsStrided

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.AtenInterpolate(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.AtenNonZero(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.AtenNonZeroTuple(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.AtenRollPos(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.AtenRollRelu(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.BuildInIsInstance(n_dims: int = 3, n_targets: int = 1)

forward(x, lx: list | Tensor)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.BuildInLen(n_dims: int = 3, n_targets: int = 1)

forward(x, lx: list)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ComplexPolar(*args: Any, **kwargs: Any)

forward(x, angle)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowCond(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowCond2Inputs(*args: Any, **kwargs: Any)

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowCond2Outputs(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowCondConstant(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowCondIdentity_153832(*args: Any, **kwargs: Any)

#153832

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowCondNestedModule

class Submodule

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowCondNonZero(*args: Any, **kwargs: Any)

forward(input_ids, image_features, vocab_size)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowNestCond(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowScan(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowScan2Carried(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowScanCDist(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowScanCDist2(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowScanCDistXY(*args: Any, **kwargs: Any)

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowScanDecomposition_151564(*args: Any, **kwargs: Any)

#151564

forward(images, position)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowScanInplace_153705(*args: Any, **kwargs: Any)

#153705

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowWhileDec(*args: Any, **kwargs: Any)

forward(ci, a, b)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ControlFlowWhileInc(*args: Any, **kwargs: Any)

forward(ci, a, b)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.CreateFromShape(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.CreateFromShapeThroughFunction(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.CropLastDimensionWithTensorContent(*args: Any, **kwargs: Any)

forward(x, shape)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.CropLastDimensionWithTensorShape(*args: Any, **kwargs: Any)

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ExportWithDimension0(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.ExportWithDimension1(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceAdd

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceAdd2

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceAdd_Mul

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceCloneAdd_

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceSetItemEllipsis_1

forward(index, update)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceSetItemEllipsis_2

forward(index, update)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceSetItemMask(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceSetItemSquare(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceSetItemSquareAdd(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.InplaceSetItemSquareAdd2(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.SignatureFloat1(n_dims: int = 3, n_targets: int = 1)

forward(x, alpha: float = 2.0)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.SignatureInt1(n_dims: int = 3, n_targets: int = 1)

forward(x, i: int = 2)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.SignatureInt2(n_dims: int = 3, n_targets: int = 1)

forward(x, i: int = 2)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.SignatureListFixedLength(n_dims: int = 3, n_targets: int = 1)

forward(x, lx: list)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.SignatureListFixedWithNone(*args: Any, **kwargs: Any)

forward(lx)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.SignatureListVariableLength(n_dims: int = 3, n_targets: int = 1)

forward(x, lx: list)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.SignatureShapeAsIndex(n_dims: int = 3, n_targets: int = 1)

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.TypeBFloat16(*args: Any, **kwargs: Any)

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.Vmap(*args: Any, **kwargs: Any)

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class yobx.torch._model_eval_cases.VmapPython(*args: Any, **kwargs: Any)

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

yobx.torch._model_eval_cases.patched_vmap(func, in_dims=0, out_dims=0, use_scan: bool = False)

Python implementation of torch.vmap(). The implementation raises an issue when it is being exported with torch.export.export() when the function is called with non tensors arguments and the batch size is dynamic.