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// RUN: mlir-opt %s -convert-gpu-to-nvvm='index-bitwidth=32' -split-input-file | FileCheck %s
// RUN: mlir-opt %s -transform-interpreter | FileCheck %s
gpu.module @test_module_0 {
// CHECK-LABEL: func @gpu_index_ops()
func.func @gpu_index_ops()
-> (index, index, index, index, index, index,
index, index, index, index, index, index,
index) {
%tIdX = gpu.thread_id x
%tIdY = gpu.thread_id y
%tIdZ = gpu.thread_id z
%bDimX = gpu.block_dim x
%bDimY = gpu.block_dim y
%bDimZ = gpu.block_dim z
%bIdX = gpu.block_id x
%bIdY = gpu.block_id y
%bIdZ = gpu.block_id z
%gDimX = gpu.grid_dim x
%gDimY = gpu.grid_dim y
%gDimZ = gpu.grid_dim z
// CHECK-NOT: = llvm.sext %{{.*}} : i32 to i64
%laneId = gpu.lane_id
func.return %tIdX, %tIdY, %tIdZ, %bDimX, %bDimY, %bDimZ,
%bIdX, %bIdY, %bIdZ, %gDimX, %gDimY, %gDimZ,
%laneId
: index, index, index, index, index, index,
index, index, index, index, index, index,
index
}
}
gpu.module @test_module_1 {
// CHECK-LABEL: func @gpu_index_comp
func.func @gpu_index_comp(%idx : index) -> index {
// CHECK: = llvm.add %{{.*}}, %{{.*}} : i32
%0 = arith.addi %idx, %idx : index
// CHECK: llvm.return %{{.*}} : i32
func.return %0 : index
}
}
module attributes {transform.with_named_sequence} {
transform.named_sequence @__transform_main(%toplevel_module: !transform.any_op {transform.readonly}) {
%gpu_module = transform.structured.match ops{["gpu.module"]} in %toplevel_module
: (!transform.any_op) -> !transform.any_op
transform.apply_conversion_patterns to %gpu_module {
transform.apply_conversion_patterns.dialect_to_llvm "arith"
transform.apply_conversion_patterns.dialect_to_llvm "cf"
transform.apply_conversion_patterns.vector.vector_to_llvm
transform.apply_conversion_patterns.func.func_to_llvm
transform.apply_conversion_patterns.dialect_to_llvm "memref"
transform.apply_conversion_patterns.gpu.gpu_to_nvvm
transform.apply_conversion_patterns.gpu.gpu_wmma_to_nvvm
transform.apply_conversion_patterns.gpu.gpu_subgroup_reduce_to_nvvm {has_redux = true}
transform.apply_conversion_patterns.nvgpu.nvgpu_to_nvvm
} with type_converter {
transform.apply_conversion_patterns.memref.memref_to_llvm_type_converter
{index_bitwidth = 32, use_opaque_pointers = true}
} {
legal_dialects = ["llvm", "memref", "nvvm"],
legal_ops = ["func.func", "gpu.module", "gpu.yield"],
illegal_dialects = ["gpu"],
illegal_ops = ["llvm.cos", "llvm.exp", "llvm.exp2", "llvm.fabs", "llvm.fceil",
"llvm.ffloor", "llvm.log", "llvm.log10", "llvm.log2", "llvm.pow",
"llvm.sin", "llvm.sqrt"],
partial_conversion
} : !transform.any_op
transform.yield
}
}
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