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Add support for lift_fresh op #1101

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merged 1 commit into from
Jul 25, 2022
Merged

Add support for lift_fresh op #1101

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1 change: 1 addition & 0 deletions build_tools/autogen_ltc_backend.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,7 @@ supported:

# ops required for functionalization
- lift
- lift_fresh
# Below are all operators that are "composite" in core,
# but require us to explicitly re-enable functionalization in order to use them.
# Why? These operators are all CompositeExplicitAutograd, which mean that they run
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6 changes: 6 additions & 0 deletions python/torch_mlir/csrc/base_lazy_backend/mlir_native_functions.cpp
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Expand Up @@ -417,6 +417,12 @@ at::Tensor LazyNativeFunctions::lift(const at::Tensor& tensor) {
return at::functionalization::impl::to_functional_tensor(tensor);
}

at::Tensor LazyNativeFunctions::lift_fresh(const at::Tensor& tensor) {
TORCH_INTERNAL_ASSERT(
!at::functionalization::impl::isFunctionalTensor(tensor));
return at::functionalization::impl::to_functional_tensor(tensor);
}

// All of the below ops correspond to CompositeExplicitAutograd kernels from core
// that call into view operators internally.
// These are all composite ops that LTC can technically re-use / get for free,
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