"__nv_log10");
patterns.insert<OpToFuncCallLowering<Log2Op>>(converter, "__nv_log2f",
"__nv_log2");
+ patterns.insert<OpToFuncCallLowering<RsqrtOp>>(converter, "__nv_rsqrtf",
+ "__nv_rsqrt");
patterns.insert<OpToFuncCallLowering<SinOp>>(converter, "__nv_sinf",
"__nv_sin");
patterns.insert<OpToFuncCallLowering<TanhOp>>(converter, "__nv_tanhf",
// -----
+gpu.module @test_module {
+ // CHECK: llvm.func @__nv_rsqrtf(!llvm.float) -> !llvm.float
+ // CHECK: llvm.func @__nv_rsqrt(!llvm.double) -> !llvm.double
+ // CHECK-LABEL: func @gpu_rsqrt
+ func @gpu_rsqrt(%arg_f16 : f16, %arg_f32 : f32, %arg_f64 : f64)
+ -> (f16, f32, f64) {
+ %result16 = std.rsqrt %arg_f16 : f16
+ // CHECK: llvm.fpext %{{.*}} : !llvm.half to !llvm.float
+ // CHECK-NEXT: llvm.call @__nv_rsqrtf(%{{.*}}) : (!llvm.float) -> !llvm.float
+ // CHECK-NEXT: llvm.fptrunc %{{.*}} : !llvm.float to !llvm.half
+ %result32 = std.rsqrt %arg_f32 : f32
+ // CHECK: llvm.call @__nv_rsqrtf(%{{.*}}) : (!llvm.float) -> !llvm.float
+ %result64 = std.rsqrt %arg_f64 : f64
+ // CHECK: llvm.call @__nv_rsqrt(%{{.*}}) : (!llvm.double) -> !llvm.double
+ std.return %result16, %result32, %result64 : f16, f32, f64
+ }
+}
+
+// -----
+
// Test that we handled properly operation with SymbolTable other than module op
gpu.module @test_module {
"test.symbol_scope"() ({