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Apply the trait NoMemoryEffect to most ReadOnly ops #3891

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Apply the trait NoMemoryEffect to most ReadOnly ops #3891

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7e30ef7
Apply the trait NoMemoryEffect to most ReadOnly ops
zjgarvey Nov 22, 2024
c4f1e49
Remove unused RemoveUnused patterns
zjgarvey Nov 22, 2024
23081c5
Merge remote-tracking branch 'upstream/main' into no_memory_effects
zjgarvey Nov 23, 2024
2cd9c77
Merge remote-tracking branch 'upstream/main' into no_memory_effects
zjgarvey Dec 9, 2024
40026aa
Merge remote-tracking branch 'upstream/main' into no_memory_effects
zjgarvey Dec 9, 2024
76787e8
Update torch-ods for new op
zjgarvey Dec 9, 2024
fe72aee
Merge remote-tracking branch 'upstream/main' into no_memory_effects
zjgarvey Feb 12, 2025
38f3ada
rerun tablegen gen
zjgarvey Feb 13, 2025
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Update torch-ods for new op
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@zjgarvey
zjgarvey committed Dec 9, 2024
commit 76787e82599fd895209646ee2e3bb9a947233382
15 changes: 10 additions & 5 deletions include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
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Expand Up @@ -6858,7 +6858,8 @@ def Torch_AtenConv3dOp : Torch_Op<"aten.conv3d", [
def Torch_AtenConv3dPaddingOp : Torch_Op<"aten.conv3d.padding", [
AllowsTypeRefinement,
HasValueSemantics,
ReadOnly
ReadOnly,
NoMemoryEffect
]> {
let summary = "Generated op for `aten::conv3d.padding : (Tensor, Tensor, Tensor?, int[], str, int[], int) -> (Tensor)`";
let arguments = (ins
Expand Down Expand Up @@ -6917,7 +6918,8 @@ def Torch_AtenConv2dOp : Torch_Op<"aten.conv2d", [
def Torch_AtenConv2dPaddingOp : Torch_Op<"aten.conv2d.padding", [
AllowsTypeRefinement,
HasValueSemantics,
ReadOnly
ReadOnly,
NoMemoryEffect
]> {
let summary = "Generated op for `aten::conv2d.padding : (Tensor, Tensor, Tensor?, int[], str, int[], int) -> (Tensor)`";
let arguments = (ins
Expand Down Expand Up @@ -6976,7 +6978,8 @@ def Torch_AtenConv1dOp : Torch_Op<"aten.conv1d", [
def Torch_AtenConv1dPaddingOp : Torch_Op<"aten.conv1d.padding", [
AllowsTypeRefinement,
HasValueSemantics,
ReadOnly
ReadOnly,
NoMemoryEffect
]> {
let summary = "Generated op for `aten::conv1d.padding : (Tensor, Tensor, Tensor?, int[], str, int[], int) -> (Tensor)`";
let arguments = (ins
Expand Down Expand Up @@ -13829,7 +13832,8 @@ def Torch_AtenFftFftOp : Torch_Op<"aten.fft_fft", [
def Torch_AtenFftRfftOp : Torch_Op<"aten.fft_rfft", [
AllowsTypeRefinement,
HasValueSemantics,
ReadOnly
ReadOnly,
NoMemoryEffect
]> {
let summary = "Generated op for `aten::fft_rfft : (Tensor, int?, int, str?) -> (Tensor)`";
let arguments = (ins
Expand Down Expand Up @@ -16641,7 +16645,8 @@ def Torch_AtenAddFloatIntOp : Torch_Op<"aten.add.float_int", [
def Torch_AtenMulFloatIntOp : Torch_Op<"aten.mul.float_int", [
AllowsTypeRefinement,
HasValueSemantics,
ReadOnly
ReadOnly,
NoMemoryEffect
]> {
let summary = "Generated op for `aten::mul.float_int : (float, int) -> (float)`";
let arguments = (ins
Expand Down
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