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GeezerVison is showing github.com — Fuser/python/python_direct/id_model.cpp at main · NVIDIA/Fuser

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// clang-format off
/*
* SPDX-FileCopyrightText: Copyright (c) 2025-present NVIDIA CORPORATION & AFFILIATES.
* All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*/
// clang-format on
#include <bindings.h>
#include <id_model/id_model.h>
#include <val_graph.h>
namespace nvfuser::python {
namespace {
void bindIdModelClass(py::module_& idm) {
py::class_<IdModel, std::unique_ptr<IdModel>> id_model(idm, "IdModel");
id_model.def(
py::init([](Fusion* fusion,
bool build_graphs,
bool allow_self_mapping,
bool validate) {
return std::make_unique<IdModel>(
fusion, build_graphs, allow_self_mapping, validate);
}),
py::arg("fusion"),
py::arg("build_graphs") = false,
py::arg("allow_self_mapping") = true,
py::arg("validate") = false,
R"(
Create a new IdModel for the given fusion.
Parameters
----------
fusion : Fusion
The fusion to create the IdModel for
build_graphs : bool
Whether to build graphs
allow_self_mapping : bool
Whether to allow self mapping
validate : bool
Whether to validate graphs
Returns
-------
IdModel
The created IdModel
)");
id_model.def(
"__str__",
&IdModel::toString,
R"(
Returns the string representation of the IdModel.
)");
id_model.def(
"maybe_build_graph",
&IdModel::maybeBuildGraph,
py::arg("mode"),
py::return_value_policy::reference,
R"(
Build a graph if not already built.
Dependent graphs are also built if not yet done.
Parameters
----------
mode : IdMappingMode
The mode to build the graph for
Returns
-------
ValGraph
The graph built
)");
}
void bindValGraph(py::module_& idm) {
py::class_<ValGraph, std::unique_ptr<ValGraph>> val_graph(idm, "ValGraph");
val_graph.def(
"disjoint_val_sets",
&ValGraph::disjointValSets,
py::return_value_policy::reference,
R"(
Returns the disjoint val set.
Returns
-------
DisjointValSets
The disjoint val set
)");
val_graph.def(
"__str__",
&ValGraph::toString,
R"(
Returns the string representation of the ValGraph.
)");
val_graph.def(
"map_vals",
&ValGraph::mapVals,
py::arg("val0"),
py::arg("val1"),
R"(Maps the two values.
Parameters
----------
val0 : Val
The first value to map
val1 : Val
The second value to map
)");
}
void bindDisjointSets(py::module_& id_model) {
py::class_<DisjointSets<Val*>, std::unique_ptr<DisjointSets<Val*>>>
disjoint_sets(id_model, "DisjointValSets");
disjoint_sets.def(
"__str__",
&DisjointSets<Val*>::toString,
R"(
Returns the string representation of the DisjointSets.
)");
disjoint_sets.def(
"strict_are_mapped",
&DisjointSets<Val*>::strictAreMapped,
py::arg("entry0"),
py::arg("entry1"),
R"(
Returns if the two entries are strictly mapped.
Parameters
----------
entry0 : Val
The first entry to check
entry1 : Val
The second entry to check
Returns
-------
bool
True if the two entries are strictly mapped, False otherwise.
)");
}
} // namespace
void bindIdModel(py::module& nvfuser) {
py::module_ idm = nvfuser.def_submodule(
"idm", "This submodule contains all id model operators for NvFuser.");
bindIdModelClass(idm);
bindValGraph(idm);
bindDisjointSets(idm);
}
} // namespace nvfuser::python
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