mirror of https://github.com/llvm/torch-mlir
[Torch Dialect] Add `torch.aten.mul.int_float` (required to simplify shape calculation of `upsample_nearest2d`) (#3764)
As per title. See also [PR](https://github.com/llvm/torch-mlir/pull/3750) for `torch.aten.mul.float_int`. --------- Co-authored-by: zjgarvey <47986913+zjgarvey@users.noreply.github.com>byteir
parent
abb9282524
commit
ac4cb971e7
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@ -15645,6 +15645,31 @@ def Torch_AtenMulIntOp : Torch_Op<"aten.mul.int", [
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let hasCanonicalizer = 1;
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}
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def Torch_AtenMulIntFloatOp : Torch_Op<"aten.mul.int_float", [
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AllowsTypeRefinement,
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HasValueSemantics,
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ReadOnly
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]> {
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let summary = "Generated op for `aten::mul.int_float : (int, float) -> (float)`";
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let arguments = (ins
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Torch_IntType:$a,
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Torch_FloatType:$b
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);
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let results = (outs
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Torch_FloatType:$result
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);
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let hasCustomAssemblyFormat = 1;
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let extraClassDefinition = [{
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ParseResult AtenMulIntFloatOp::parse(OpAsmParser &parser, OperationState &result) {
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return parseDefaultTorchOp(parser, result, 2, 1);
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}
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void AtenMulIntFloatOp::print(OpAsmPrinter &printer) {
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printDefaultTorchOp(printer, *this, 2, 1);
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}
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}];
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let hasFolder = 1;
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}
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def Torch_AtenDivIntOp : Torch_Op<"aten.div.int", [
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AllowsTypeRefinement,
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HasValueSemantics,
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@ -76,6 +76,8 @@ public:
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Value b = adaptor.getB();
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if (llvm::is_one_of<AtenOp, AtenAddFloatIntOp>::value)
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b = convertScalarToDtype(rewriter, op.getLoc(), b, a.getType());
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if (llvm::is_one_of<AtenOp, AtenMulIntFloatOp>::value)
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a = convertScalarToDtype(rewriter, op.getLoc(), a, b.getType());
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rewriter.template replaceOpWithNewOp<BinOp>(op, a, b);
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return success();
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}
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@ -467,15 +469,19 @@ public:
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patterns.add<ConvertAtenAddOp>(typeConverter, context);
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target.addIllegalOp<AtenAddIntOp, AtenAddFloatIntOp, AtenSubIntOp,
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AtenMulIntOp>();
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AtenMulIntOp, AtenRemainderIntOp, AtenMulIntFloatOp>();
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patterns.add<ConvertAtenBinaryOp<AtenAddIntOp, arith::AddIOp>>(
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typeConverter, context);
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patterns.add<ConvertAtenBinaryOp<AtenRemainderIntOp, arith::RemSIOp>>(
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typeConverter, context);
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patterns.add<ConvertAtenBinaryOp<AtenAddFloatIntOp, arith::AddFOp>>(
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typeConverter, context);
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patterns.add<ConvertAtenBinaryOp<AtenSubIntOp, arith::SubIOp>>(
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typeConverter, context);
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patterns.add<ConvertAtenBinaryOp<AtenMulIntOp, arith::MulIOp>>(
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typeConverter, context);
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patterns.add<ConvertAtenBinaryOp<AtenMulIntFloatOp, arith::MulFOp>>(
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typeConverter, context);
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target.addIllegalOp<AtenSubFloatOp, AtenMulFloatOp>();
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patterns.add<ConvertAtenBinaryOp<AtenSubFloatOp, arith::SubFOp>>(
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typeConverter, context);
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@ -3932,6 +3932,19 @@ OpFoldResult AtenMulOp::fold(FoldAdaptor adaptor) {
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[](double a, double b) -> double { return a * b; });
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}
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//===----------------------------------------------------------------------===//
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// AtenMulIntFloatOp
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//===----------------------------------------------------------------------===//
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OpFoldResult AtenMulIntFloatOp::fold(FoldAdaptor adaptor) {
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if (!adaptor.getA() || !adaptor.getB()) {
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return nullptr;
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}
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return atenBinaryFloatOperatorFoldHelper(
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adaptor.getOperands(),
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[](double a, double b) -> double { return a * b; });
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}
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//===----------------------------------------------------------------------===//
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// AtenSubOp
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//===----------------------------------------------------------------------===//
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@ -5507,12 +5507,12 @@ StringRef mlir::torch::Torch::getAbstractInterpLibrary() {
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" }\n"
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" %15 = torch.aten.__getitem__.t %arg0, %int2 : !torch.list<int>, !torch.int -> !torch.int\n"
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" %16 = torch.aten.__getitem__.t %11, %int0 : !torch.list<float>, !torch.int -> !torch.float\n"
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" %17 = torch.operator \"aten.mul.int_float\"(%15, %16) : (!torch.int, !torch.float) -> !torch.float \n"
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" %17 = torch.aten.mul.int_float %15, %16 : !torch.int, !torch.float -> !torch.float\n"
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" %18 = torch.aten.Int.float %17 : !torch.float -> !torch.int\n"
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" %19 = torch.aten.append.t %1, %18 : !torch.list<int>, !torch.int -> !torch.list<int>\n"
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" %20 = torch.aten.__getitem__.t %arg0, %int3 : !torch.list<int>, !torch.int -> !torch.int\n"
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" %21 = torch.aten.__getitem__.t %11, %int1 : !torch.list<float>, !torch.int -> !torch.float\n"
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" %22 = torch.operator \"aten.mul.int_float\"(%20, %21) : (!torch.int, !torch.float) -> !torch.float \n"
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" %22 = torch.aten.mul.int_float %20, %21 : !torch.int, !torch.float -> !torch.float\n"
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" %23 = torch.aten.Int.float %22 : !torch.float -> !torch.int\n"
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" %24 = torch.aten.append.t %1, %23 : !torch.list<int>, !torch.int -> !torch.list<int>\n"
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" torch.prim.If.yield\n"
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@ -10931,7 +10931,7 @@ StringRef mlir::torch::Torch::getAbstractInterpLibrary() {
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" %14 = torch.aten.__getitem__.t %arg0, %int1 : !torch.list<int>, !torch.int -> !torch.int\n"
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" %15 = torch.aten.__getitem__.t %arg0, %int2 : !torch.list<int>, !torch.int -> !torch.int\n"
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" %16 = torch.aten.__getitem__.t %12, %int0 : !torch.list<float>, !torch.int -> !torch.float\n"
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" %17 = torch.operator \"aten.mul.int_float\"(%15, %16) : (!torch.int, !torch.float) -> !torch.float \n"
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" %17 = torch.aten.mul.int_float %15, %16 : !torch.int, !torch.float -> !torch.float\n"
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" %18 = torch.aten.Int.float %17 : !torch.float -> !torch.int\n"
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" %19 = torch.prim.ListConstruct %13, %14, %18 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>\n"
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" torch.prim.If.yield %19 : !torch.list<int>\n"
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@ -11011,11 +11011,11 @@ StringRef mlir::torch::Torch::getAbstractInterpLibrary() {
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" %14 = torch.aten.__getitem__.t %arg0, %int1 : !torch.list<int>, !torch.int -> !torch.int\n"
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" %15 = torch.aten.__getitem__.t %arg0, %int2 : !torch.list<int>, !torch.int -> !torch.int\n"
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" %16 = torch.aten.__getitem__.t %12, %int0 : !torch.list<float>, !torch.int -> !torch.float\n"
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" %17 = torch.operator \"aten.mul.int_float\"(%15, %16) : (!torch.int, !torch.float) -> !torch.float \n"
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" %17 = torch.aten.mul.int_float %15, %16 : !torch.int, !torch.float -> !torch.float\n"
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" %18 = torch.aten.Int.float %17 : !torch.float -> !torch.int\n"
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" %19 = torch.aten.__getitem__.t %arg0, %int3 : !torch.list<int>, !torch.int -> !torch.int\n"
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" %20 = torch.aten.__getitem__.t %12, %int1 : !torch.list<float>, !torch.int -> !torch.float\n"
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" %21 = torch.operator \"aten.mul.int_float\"(%19, %20) : (!torch.int, !torch.float) -> !torch.float \n"
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" %21 = torch.aten.mul.int_float %19, %20 : !torch.int, !torch.float -> !torch.float\n"
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" %22 = torch.aten.Int.float %21 : !torch.float -> !torch.int\n"
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" %23 = torch.prim.ListConstruct %13, %14, %18, %22 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>\n"
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" torch.prim.If.yield %23 : !torch.list<int>\n"
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@ -1101,6 +1101,7 @@ def emit_ops(emitter_td: TextEmitter, registry: Registry):
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has_folder=True,
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has_canonicalizer=True,
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)
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emit("aten::mul.int_float : (int, float) -> (float)", has_folder=True)
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emit("aten::div.int : (int, int) -> (float)", has_folder=True)
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emit("aten::neg.int : (int) -> (int)", has_folder=True)
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emit("aten::log.int : (int) -> (float)")
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@ -194,6 +194,20 @@ func.func @torch.aten.mul.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.in
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return %0 : !torch.int
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}
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// CHECK-LABEL: func.func @torch.aten.mul.int_float(
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// CHECK-SAME: %[[LHS:.*]]: !torch.int,
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// CHECK-SAME: %[[RHS:.*]]: !torch.float) -> !torch.float {
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// CHECK-DAG: %[[LHS_I64:.*]] = torch_c.to_i64 %[[LHS]]
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// CHECK-DAG: %[[RHS_F64:.*]] = torch_c.to_f64 %[[RHS]]
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// CHECK: %[[LHS_F64:.*]] = arith.sitofp %[[LHS_I64]] : i64 to f64
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// CHECK: %[[MUL:.*]] = arith.mulf %[[LHS_F64]], %[[RHS_F64]] : f64
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// CHECK: %[[OUT:.*]] = torch_c.from_f64 %[[MUL]]
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// CHECK: return %[[OUT]] : !torch.float
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func.func @torch.aten.mul.int_float(%arg0: !torch.int, %arg1: !torch.float) -> !torch.float {
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%0 = torch.aten.mul.int_float %arg0, %arg1 : !torch.int, !torch.float -> !torch.float
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return %0 : !torch.float
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}
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// CHECK-LABEL: func.func @torch.aten.div.float(
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// CHECK-SAME: %[[LHS:.*]]: !torch.float,
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// CHECK-SAME: %[[RHS:.*]]: !torch.float) -> !torch.float {
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@ -1181,6 +1181,16 @@ func.func @torch.aten.mul.int$canonicalize(%arg0: !torch.int) -> !torch.int {
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return %ret : !torch.int
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}
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// CHECK-LABEL: func.func @torch.aten.mul.int_float() -> !torch.float {
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// CHECK: %[[CST6:.*]] = torch.constant.float 6.000000e+00
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// CHECK: return %[[CST6]] : !torch.float
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func.func @torch.aten.mul.int_float() -> !torch.float {
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%cst2 = torch.constant.int 2
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%cst3 = torch.constant.float 3.0
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%ret = torch.aten.mul.int_float %cst2, %cst3: !torch.int, !torch.float -> !torch.float
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return %ret : !torch.float
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}
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// CHECK-LABEL: func.func @torch.aten.mul.float() -> !torch.float {
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// CHECK: %[[CST30:.*]] = torch.constant.float 3.000000e+01
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// CHECK: return %[[CST30]] : !torch.float
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