forked from OSchip/llvm-project
NFC: Remove NoSideEffect traits from all ops except for ConstantOp.
These traits are added in chapter 3 when we begin discussion optimization on the toy operations. PiperOrigin-RevId: 274974010
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@ -92,7 +92,7 @@ def ConstantOp : Toy_Op<"constant", [NoSideEffect]> {
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let verifier = [{ return ::verify(*this); }];
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let verifier = [{ return ::verify(*this); }];
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}
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}
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def AddOp : Toy_Op<"add", [NoSideEffect]> {
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def AddOp : Toy_Op<"add"> {
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let summary = "element-wise addition operation";
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let summary = "element-wise addition operation";
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let description = [{
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let description = [{
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The "add" operation performs element-wise addition between two tensors.
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The "add" operation performs element-wise addition between two tensors.
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@ -144,7 +144,7 @@ def GenericCallOp : Toy_Op<"generic_call"> {
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];
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];
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}
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}
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def MulOp : Toy_Op<"mul", [NoSideEffect]> {
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def MulOp : Toy_Op<"mul"> {
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let summary = "element-wise multiplication operation";
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let summary = "element-wise multiplication operation";
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let description = [{
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let description = [{
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The "mul" operation performs element-wise multiplication between two
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The "mul" operation performs element-wise multiplication between two
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@ -173,7 +173,7 @@ def PrintOp : Toy_Op<"print"> {
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let arguments = (ins F64Tensor:$input);
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let arguments = (ins F64Tensor:$input);
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}
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}
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def ReshapeOp : Toy_Op<"reshape", [NoSideEffect]> {
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def ReshapeOp : Toy_Op<"reshape"> {
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let summary = "tensor reshape operation";
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let summary = "tensor reshape operation";
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let description = [{
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let description = [{
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Reshape operation is transforming its input tensor into a new tensor with
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Reshape operation is transforming its input tensor into a new tensor with
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@ -224,7 +224,7 @@ def ReturnOp : Toy_Op<"return", [Terminator, HasParent<"FuncOp">]> {
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let verifier = [{ return ::verify(*this); }];
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let verifier = [{ return ::verify(*this); }];
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}
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}
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def TransposeOp : Toy_Op<"transpose", [NoSideEffect]> {
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def TransposeOp : Toy_Op<"transpose"> {
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let summary = "transpose operation";
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let summary = "transpose operation";
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let arguments = (ins F64Tensor:$input);
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let arguments = (ins F64Tensor:$input);
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