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[mhlo] Lower float->bool to a comparison with zero 

This matches what TF (and C++) do in this case.

PiperOrigin-RevId: 357553098
This commit is contained in:
Adrian Kuegel 2021-02-15 04:35:43 -08:00 committed by TensorFlow MLIR Team
parent 2fe0c33083
commit 8672735e9a
3 changed files with 35 additions and 0 deletions
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7
include/mlir-hlo/Dialect/mhlo/transforms/map_lmhlo_to_scalar_op.h
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@ -323,6 +323,13 @@ inline Value MapLhloOpToStdScalarOp<lmhlo::ConvertOp>(
// No conversion is needed for the same width integers // No conversion is needed for the same width integers
return args.front(); return args.front();
} }
if (targetType.isInteger(/*width=*/1)) {
Value zero = b->create<ConstantOp>(loc, b->getFloatAttr(sourceType, 0.0));
if (VectorType vec_type = args.front().getType().dyn_cast<VectorType>()) {
zero = b->create<::mlir::SplatOp>(loc, vec_type, zero);
}
return b->create<mlir::CmpFOp>(loc, CmpFPredicate::UNE, args.front(), zero);
}
if (mlir::FPToSIOp::areCastCompatible(sourceType, targetType)) { if (mlir::FPToSIOp::areCastCompatible(sourceType, targetType)) {
return b->create<mlir::FPToSIOp>(loc, result_types, args, mlir::None); return b->create<mlir::FPToSIOp>(loc, result_types, args, mlir::None);
} }

14
tests/hlo-legalize-to-linalg.mlir
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@ -727,6 +727,20 @@ func @convert_f64_to_f32(%input: tensor<2x2xf64>) -> tensor<2x2xf32> {
// ----- // -----
// CHECK-LABEL: func @convert_f32_to_i1
func @convert_f32_to_i1(%input: tensor<2x2xf32>) -> tensor<2x2xi1> {
%result = "mhlo.convert"(%input) : (tensor<2x2xf32>) -> tensor<2x2xi1>
return %result : tensor<2x2xi1>
}
// CHECK: linalg.init_tensor
// CHECK: linalg.generic
// CHECK-NEXT: ^bb0(%[[OPERAND_IN:.*]]: f32, %{{.*}}: i1):
// CHECK-NEXT: %[[ZERO:.*]] = constant 0.000000e+00 : f32
// CHECK-NEXT: %[[RESULT:.*]] = cmpf une, %[[OPERAND_IN]], %[[ZERO]] : f32
// CHECK-NEXT: linalg.yield %[[RESULT]] : i1
// -----
// CHECK-LABEL: func @convert_f32_to_i32 // CHECK-LABEL: func @convert_f32_to_i32
func @convert_f32_to_i32(%input: tensor<2x2xf32>) -> tensor<2x2xi32> { func @convert_f32_to_i32(%input: tensor<2x2xf32>) -> tensor<2x2xi32> {
%result = "mhlo.convert"(%input) : (tensor<2x2xf32>) -> tensor<2x2xi32> %result = "mhlo.convert"(%input) : (tensor<2x2xf32>) -> tensor<2x2xi32>

14
tests/lhlo-legalize-to-linalg.mlir
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@ -502,6 +502,20 @@ func @convert_f32_to_f32(%input: memref<2x2xf32>, %result: memref<2x2xf32>) {
// ----- // -----
// CHECK-LABEL: func @convert_f32_to_i1
func @convert_f32_to_i1(%input: memref<2x2xf32>, %result: memref<2x2xi1>) {
"lmhlo.convert"(%input, %result)
: (memref<2x2xf32>, memref<2x2xi1>) -> ()
return
}
// CHECK: linalg.generic
// CHECK-NEXT: ^bb0(%[[OPERAND_IN:.*]]: f32, %[[RESULT_OUT:.*]]: i1):
// CHECK-NEXT: %[[ZERO:.*]] = constant 0.000000e+00 : f32
// CHECK-NEXT: %[[RESULT:.*]] = cmpf une, %[[OPERAND_IN]], %[[ZERO]] : f32
// CHECK-NEXT: linalg.yield %[[RESULT]] : i1
// -----
// CHECK-LABEL: func @convert_f32_to_i32 // CHECK-LABEL: func @convert_f32_to_i32
func @convert_f32_to_i32(%input: memref<2x2xf32>, %result: memref<2x2xi32>) { func @convert_f32_to_i32(%input: memref<2x2xf32>, %result: memref<2x2xi32>) {
"lmhlo.convert"(%input, %result) "lmhlo.convert"(%input, %result)