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narendasannarendasan
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refactor(elementwise): remove unrelated comments
Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Naren Dasan <[email protected]>
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‎core/conversion/converters/impl/element_wise.cpp

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Original file line numberDiff line numberDiff line change
@@ -262,7 +262,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::ne.Tensor(Tensor self, Tensor other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
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// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto other = args[1].ITensorOrFreeze(ctx);
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auto equal = add_elementwise(
@@ -326,7 +325,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::pow.Tensor_Tensor(Tensor self, Tensor exponent) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
329-
// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto exponent = args[1].ITensorOrFreeze(ctx);
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auto pow =
@@ -341,7 +339,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::pow.Tensor_Scalar(Tensor self, Scalar exponent) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
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// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto exponentScalar = args[1].unwrapToScalar().to<float>();
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auto exponent = tensor_to_const(ctx, torch::tensor({exponentScalar}));
@@ -357,7 +354,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::gt.Tensor(Tensor self, Tensor other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
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// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto other = args[1].ITensorOrFreeze(ctx);
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auto gt =
@@ -371,7 +367,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::gt.Scalar(Tensor self, Scalar other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
374-
// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto otherScalar = args[1].unwrapToScalar().to<float>();
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auto other = tensor_to_const(ctx, torch::tensor({otherScalar}));
@@ -386,7 +381,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::lt.Tensor(Tensor self, Tensor other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
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// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto other = args[1].ITensorOrFreeze(ctx);
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auto lt =
@@ -400,7 +394,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::lt.Scalar(Tensor self, Scalar other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
403-
// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto otherScalar = args[1].unwrapToScalar().to<float>();
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auto other = tensor_to_const(ctx, torch::tensor({otherScalar}));
@@ -415,7 +408,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::eq.Tensor(Tensor self, Tensor other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
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// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto other = args[1].ITensorOrFreeze(ctx);
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auto eq =
@@ -429,7 +421,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::eq.Scalar(Tensor self, Scalar other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
432-
// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto otherScalar = args[1].unwrapToScalar().to<float>();
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auto other = tensor_to_const(ctx, torch::tensor({otherScalar}));
@@ -444,7 +435,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::ge.Tensor(Tensor self, Tensor other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
447-
// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto other = args[1].ITensorOrFreeze(ctx);
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@@ -468,7 +458,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::ge.Scalar(Tensor self, Scalar other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
471-
// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto otherScalar = args[1].unwrapToScalar().to<float>();
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auto other = tensor_to_const(ctx, torch::tensor({otherScalar}));
@@ -493,7 +482,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::le.Tensor(Tensor self, Tensor other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
496-
// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto other = args[1].ITensorOrFreeze(ctx);
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@@ -517,7 +505,6 @@ auto element_wise_registrations TRTORCH_UNUSED =
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}})
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.pattern({"aten::le.Scalar(Tensor self, Scalar other) -> (Tensor)",
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[](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
520-
// TODO: Remove with functionalization
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auto self = args[0].ITensorOrFreeze(ctx);
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auto otherScalar = args[1].unwrapToScalar().to<float>();
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auto other = tensor_to_const(ctx, torch::tensor({otherScalar}));

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