File: printf.mlir

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// RUN: mlir-opt %s \
// RUN: | mlir-opt -gpu-lower-to-nvvm-pipeline="cubin-format=%gpu_compilation_format" \
// RUN: | mlir-cpu-runner \
// RUN:   --shared-libs=%mlir_cuda_runtime \
// RUN:   --shared-libs=%mlir_runner_utils \
// RUN:   --entry-point-result=void \
// RUN: | FileCheck %s

// CHECK: Hello from 0, 2, 3.000000
// CHECK: Hello from 1, 2, 3.000000
module attributes {gpu.container_module} {
    gpu.module @kernels {
        gpu.func @hello() kernel {
            %0 = gpu.thread_id x
            %csti8 = arith.constant 2 : i8
            %cstf32 = arith.constant 3.0 : f32
            gpu.printf "Hello from %lld, %d, %f\n" %0, %csti8, %cstf32  : index, i8, f32
            gpu.return
        }
    }

    func.func @main() {
        %c2 = arith.constant 2 : index
        %c1 = arith.constant 1 : index
        gpu.launch_func @kernels::@hello
            blocks in (%c1, %c1, %c1)
            threads in (%c2, %c1, %c1)
        return
    }
}