LogicalResult matchAndRewrite(Op op, PatternRewriter &rewriter) const final;
};
+// Pattern to promote an op of a smaller floating point type to F32.
+template <typename Op>
+struct PromoteOpToF32 : public OpRewritePattern<Op> {
+public:
+ using OpRewritePattern<Op>::OpRewritePattern;
+
+ LogicalResult matchAndRewrite(Op op, PatternRewriter &rewriter) const final;
+};
// Pattern to convert scalar math operations to calls to libm functions.
// Additionally the libm function signatures are declared.
template <typename Op>
template <typename Op>
LogicalResult
+PromoteOpToF32<Op>::matchAndRewrite(Op op, PatternRewriter &rewriter) const {
+ auto opType = op.getType();
+ if (!opType.template isa<Float16Type, BFloat16Type>())
+ return failure();
+
+ auto loc = op.getLoc();
+ auto f32 = rewriter.getF32Type();
+ auto extendedOperands = llvm::to_vector(
+ llvm::map_range(op->getOperands(), [&](Value operand) -> Value {
+ return rewriter.create<arith::ExtFOp>(loc, f32, operand);
+ }));
+ auto newOp = rewriter.create<Op>(loc, f32, extendedOperands);
+ rewriter.replaceOpWithNewOp<arith::TruncFOp>(op, opType, newOp);
+ return success();
+}
+
+template <typename Op>
+LogicalResult
ScalarOpToLibmCall<Op>::matchAndRewrite(Op op,
PatternRewriter &rewriter) const {
auto module = SymbolTable::getNearestSymbolTable(op);
auto type = op.getType();
- // TODO: Support Float16 by upcasting to Float32
if (!type.template isa<Float32Type, Float64Type>())
return failure();
PatternBenefit benefit) {
patterns.add<VecOpToScalarOp<math::Atan2Op>, VecOpToScalarOp<math::ExpM1Op>,
VecOpToScalarOp<math::TanhOp>>(patterns.getContext(), benefit);
+ patterns.add<PromoteOpToF32<math::Atan2Op>, PromoteOpToF32<math::ExpM1Op>,
+ PromoteOpToF32<math::TanhOp>>(patterns.getContext(), benefit);
patterns.add<ScalarOpToLibmCall<math::Atan2Op>>(patterns.getContext(),
"atan2f", "atan2", benefit);
patterns.add<ScalarOpToLibmCall<math::ErfOp>>(patterns.getContext(), "erff",
// CHECK-LABEL: func @atan2_caller
// CHECK-SAME: %[[FLOAT:.*]]: f32
// CHECK-SAME: %[[DOUBLE:.*]]: f64
-func.func @atan2_caller(%float: f32, %double: f64) -> (f32, f64) {
- // CHECK-DAG: %[[FLOAT_RESULT:.*]] = call @atan2f(%[[FLOAT]], %[[FLOAT]]) : (f32, f32) -> f32
+// CHECK-SAME: %[[HALF:.*]]: f16
+// CHECK-SAME: %[[BFLOAT:.*]]: bf16
+func.func @atan2_caller(%float: f32, %double: f64, %half: f16, %bfloat: bf16) -> (f32, f64, f16, bf16) {
+ // CHECK: %[[FLOAT_RESULT:.*]] = call @atan2f(%[[FLOAT]], %[[FLOAT]]) : (f32, f32) -> f32
%float_result = math.atan2 %float, %float : f32
- // CHECK-DAG: %[[DOUBLE_RESULT:.*]] = call @atan2(%[[DOUBLE]], %[[DOUBLE]]) : (f64, f64) -> f64
+ // CHECK: %[[DOUBLE_RESULT:.*]] = call @atan2(%[[DOUBLE]], %[[DOUBLE]]) : (f64, f64) -> f64
%double_result = math.atan2 %double, %double : f64
- // CHECK: return %[[FLOAT_RESULT]], %[[DOUBLE_RESULT]]
- return %float_result, %double_result : f32, f64
+ // CHECK: %[[HALF_PROMOTED1:.*]] = arith.extf %[[HALF]] : f16 to f32
+ // CHECK: %[[HALF_PROMOTED2:.*]] = arith.extf %[[HALF]] : f16 to f32
+ // CHECK: %[[HALF_CALL:.*]] = call @atan2f(%[[HALF_PROMOTED1]], %[[HALF_PROMOTED2]]) : (f32, f32) -> f32
+ // CHECK: %[[HALF_RESULT:.*]] = arith.truncf %[[HALF_CALL]] : f32 to f16
+ %half_result = math.atan2 %half, %half : f16
+ // CHECK: %[[BFLOAT_PROMOTED1:.*]] = arith.extf %[[BFLOAT]] : bf16 to f32
+ // CHECK: %[[BFLOAT_PROMOTED2:.*]] = arith.extf %[[BFLOAT]] : bf16 to f32
+ // CHECK: %[[BFLOAT_CALL:.*]] = call @atan2f(%[[BFLOAT_PROMOTED1]], %[[BFLOAT_PROMOTED2]]) : (f32, f32) -> f32
+ // CHECK: %[[BFLOAT_RESULT:.*]] = arith.truncf %[[BFLOAT_CALL]] : f32 to bf16
+ %bfloat_result = math.atan2 %bfloat, %bfloat : bf16
+ // CHECK: return %[[FLOAT_RESULT]], %[[DOUBLE_RESULT]], %[[HALF_RESULT]], %[[BFLOAT_RESULT]]
+ return %float_result, %double_result, %half_result, %bfloat_result : f32, f64, f16, bf16
}
// CHECK-LABEL: func @erf_caller