| // Tests the embedded ELF linker that will work on all targets. |
| // RUN: iree-opt --split-input-file --iree-stream-transformation-pipeline --iree-hal-transformation-pipeline --iree-llvmcpu-link-embedded=true %s | FileCheck %s |
| |
| module attributes { |
| hal.device.targets = [ |
| #hal.device.target<"llvm-cpu", [ |
| #hal.executable.target<"llvm-cpu", "embedded-elf-x86_64", { |
| native_vector_size = 16 : index |
| }> |
| ]> : !hal.device |
| ] |
| } { |
| |
| stream.executable public @add_dispatch_0 { |
| stream.executable.export @add_dispatch_0 workgroups(%arg0 : index) -> (index, index, index) { |
| %x, %y, %z = flow.dispatch.workgroup_count_from_dag_root %arg0 |
| stream.return %x, %y, %z : index, index, index |
| } |
| builtin.module { |
| func.func @add_dispatch_0(%arg0_binding: !stream.binding, %arg1_binding: !stream.binding, %arg2_binding: !stream.binding) { |
| %c0 = arith.constant 0 : index |
| %arg0 = stream.binding.subspan %arg0_binding[%c0] : !stream.binding -> !flow.dispatch.tensor<readonly:tensor<16xf32>> |
| %arg1 = stream.binding.subspan %arg1_binding[%c0] : !stream.binding -> !flow.dispatch.tensor<readonly:tensor<16xf32>> |
| %arg2 = stream.binding.subspan %arg2_binding[%c0] : !stream.binding -> !flow.dispatch.tensor<writeonly:tensor<16xf32>> |
| %0 = tensor.empty() : tensor<16xf32> |
| %1 = flow.dispatch.tensor.load %arg0, offsets=[0], sizes=[16], strides=[1] : !flow.dispatch.tensor<readonly:tensor<16xf32>> -> tensor<16xf32> |
| %2 = flow.dispatch.tensor.load %arg1, offsets=[0], sizes=[16], strides=[1] : !flow.dispatch.tensor<readonly:tensor<16xf32>> -> tensor<16xf32> |
| %3 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%1, %2 : tensor<16xf32>, tensor<16xf32>) outs(%0 : tensor<16xf32>) { |
| ^bb0(%arg3: f32, %arg4: f32, %arg5: f32): // no predecessors |
| %4 = arith.addf %arg3, %arg4 : f32 |
| linalg.yield %4 : f32 |
| } -> tensor<16xf32> |
| flow.dispatch.tensor.store %3, %arg2, offsets=[0], sizes=[16], strides=[1] : tensor<16xf32> -> !flow.dispatch.tensor<writeonly:tensor<16xf32>> |
| return |
| } |
| } |
| } |
| |
| } |
| |
| // CHECK: hal.executable.binary public @embedded_elf_x86_64 |
| // CHECK-SAME: data = dense |
| // CHECK-SAME: format = "embedded-elf-x86_64" |
