// RUN: mlir-opt -allow-unregistered-dialect -convert-gpu-to-spirv="use-64bit-index=true" -verify-diagnostics -split-input-file %s -o - | FileCheck %s
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.0, [Kernel, Addresses], []>, #spirv.resource_limits<>>
} {
gpu.module @kernels {
// CHECK-LABEL: spirv.module @{{.*}} Physical64 OpenCL
// CHECK: spirv.func
// CHECK-SAME: {{%.*}}: f32
// CHECK-NOT: spirv.interface_var_abi
// CHECK-SAME: {{%.*}}: !spirv.ptr<!spirv.array<12 x f32>, CrossWorkgroup>
// CHECK-NOT: spirv.interface_var_abi
// CHECK-SAME: spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>
// CHECK-LABEL: func.func @basic_module_structure
// CHECK-SAME: attributes {gpu.kernel}
gpu.func @basic_module_structure(%arg0 : f32, %arg1 : memref<12xf32, #spirv.storage_class<CrossWorkgroup>>) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
gpu.return
}
}
func.func @main() {
%0 = "op"() : () -> (f32)
%1 = "op"() : () -> (memref<12xf32, #spirv.storage_class<CrossWorkgroup>>)
%cst = arith.constant 1 : index
gpu.launch_func @kernels::@basic_module_structure
blocks in (%cst, %cst, %cst) threads in (%cst, %cst, %cst)
args(%0 : f32, %1 : memref<12xf32, #spirv.storage_class<CrossWorkgroup>>)
return
}
}
// -----
module attributes {
gpu.container_module
} {
gpu.module @kernels attributes {
spirv.target_env = #spirv.target_env<#spirv.vce<v1.0, [Kernel, Addresses], []>, #spirv.resource_limits<>>
} {
// CHECK-LABEL: spirv.module @{{.*}} Physical64 OpenCL
// CHECK-SAME: spirv.target_env = #spirv.target_env<#spirv.vce<v1.0, [Kernel, Addresses], []>, #spirv.resource_limits<>>
// CHECK: spirv.func
// CHECK-SAME: {{%.*}}: f32
// CHECK-NOT: spirv.interface_var_abi
// CHECK-SAME: {{%.*}}: !spirv.ptr<!spirv.array<12 x f32>, CrossWorkgroup>
// CHECK-NOT: spirv.interface_var_abi
// CHECK-SAME: spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>
// CHECK-LABEL: func.func @basic_module_structure
// CHECK-SAME: attributes {gpu.kernel}
gpu.func @basic_module_structure(%arg0 : f32, %arg1 : memref<12xf32, #spirv.storage_class<CrossWorkgroup>>) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
gpu.return
}
}
func.func @main() {
%0 = "op"() : () -> (f32)
%1 = "op"() : () -> (memref<12xf32, #spirv.storage_class<CrossWorkgroup>>)
%cst = arith.constant 1 : index
gpu.launch_func @kernels::@basic_module_structure
blocks in (%cst, %cst, %cst) threads in (%cst, %cst, %cst)
args(%0 : f32, %1 : memref<12xf32, #spirv.storage_class<CrossWorkgroup>>)
return
}
}