Files
clang-p2996/mlir/test/Conversion/SPIRVToLLVM/func-ops-to-llvm.mlir
Alex Zinenko bd30a796fc [mlir] use built-in vector types instead of LLVM dialect types when possible
Continue the convergence between LLVM dialect and built-in types by using the
built-in vector type whenever possible, that is for fixed vectors of built-in
integers and built-in floats. LLVM dialect vector type is still in use for
pointers, less frequent floating point types that do not have a built-in
equivalent, and scalable vectors. However, the top-level `LLVMVectorType` class
has been removed in favor of free functions capable of inspecting both built-in
and LLVM dialect vector types: `LLVM::getVectorElementType`,
`LLVM::getNumVectorElements` and `LLVM::getFixedVectorType`. Additional work is
necessary to design an implemented the extensions to built-in types so as to
remove the `LLVMFixedVectorType` entirely.

Note that the default output format for the built-in vectors does not have
whitespace around the `x` separator, e.g., `vector<4xf32>` as opposed to the
LLVM dialect vector type format that does, e.g., `!llvm.vec<4 x fp128>`. This
required changing the FileCheck patterns in several tests.

Reviewed By: mehdi_amini, silvas

Differential Revision: https://reviews.llvm.org/D94405
2021-01-12 10:04:28 +01:00

96 lines
3.2 KiB
MLIR

// RUN: mlir-opt -convert-spirv-to-llvm %s | FileCheck %s
//===----------------------------------------------------------------------===//
// spv.Return
//===----------------------------------------------------------------------===//
// CHECK-LABEL: @return
spv.func @return() "None" {
// CHECK: llvm.return
spv.Return
}
//===----------------------------------------------------------------------===//
// spv.ReturnValue
//===----------------------------------------------------------------------===//
// CHECK-LABEL: @return_value
spv.func @return_value(%arg: i32) -> i32 "None" {
// CHECK: llvm.return %{{.*}} : i32
spv.ReturnValue %arg : i32
}
//===----------------------------------------------------------------------===//
// spv.func
//===----------------------------------------------------------------------===//
// CHECK-LABEL: llvm.func @none()
spv.func @none() "None" {
spv.Return
}
// CHECK-LABEL: llvm.func @inline() attributes {passthrough = ["alwaysinline"]}
spv.func @inline() "Inline" {
spv.Return
}
// CHECK-LABEL: llvm.func @dont_inline() attributes {passthrough = ["noinline"]}
spv.func @dont_inline() "DontInline" {
spv.Return
}
// CHECK-LABEL: llvm.func @pure() attributes {passthrough = ["readonly"]}
spv.func @pure() "Pure" {
spv.Return
}
// CHECK-LABEL: llvm.func @const() attributes {passthrough = ["readnone"]}
spv.func @const() "Const" {
spv.Return
}
// CHECK-LABEL: llvm.func @scalar_types(%arg0: i32, %arg1: i1, %arg2: f64, %arg3: f32)
spv.func @scalar_types(%arg0: i32, %arg1: i1, %arg2: f64, %arg3: f32) "None" {
spv.Return
}
// CHECK-LABEL: llvm.func @vector_types(%arg0: vector<2xi64>, %arg1: vector<2xi64>) -> vector<2xi64>
spv.func @vector_types(%arg0: vector<2xi64>, %arg1: vector<2xi64>) -> vector<2xi64> "None" {
%0 = spv.IAdd %arg0, %arg1 : vector<2xi64>
spv.ReturnValue %0 : vector<2xi64>
}
//===----------------------------------------------------------------------===//
// spv.FunctionCall
//===----------------------------------------------------------------------===//
// CHECK-LABEL: llvm.func @function_calls
// CHECK-SAME: %[[ARG0:.*]]: i32, %[[ARG1:.*]]: i1, %[[ARG2:.*]]: f64, %[[ARG3:.*]]: vector<2xi64>, %[[ARG4:.*]]: vector<2xf32>
spv.func @function_calls(%arg0: i32, %arg1: i1, %arg2: f64, %arg3: vector<2xi64>, %arg4: vector<2xf32>) "None" {
// CHECK: llvm.call @void_1() : () -> ()
// CHECK: llvm.call @void_2(%[[ARG3]]) : (vector<2xi64>) -> ()
// CHECK: llvm.call @value_scalar(%[[ARG0]], %[[ARG1]], %[[ARG2]]) : (i32, i1, f64) -> i32
// CHECK: llvm.call @value_vector(%[[ARG3]], %[[ARG4]]) : (vector<2xi64>, vector<2xf32>) -> vector<2xf32>
spv.FunctionCall @void_1() : () -> ()
spv.FunctionCall @void_2(%arg3) : (vector<2xi64>) -> ()
%0 = spv.FunctionCall @value_scalar(%arg0, %arg1, %arg2) : (i32, i1, f64) -> i32
%1 = spv.FunctionCall @value_vector(%arg3, %arg4) : (vector<2xi64>, vector<2xf32>) -> vector<2xf32>
spv.Return
}
spv.func @void_1() "None" {
spv.Return
}
spv.func @void_2(%arg0: vector<2xi64>) "None" {
spv.Return
}
spv.func @value_scalar(%arg0: i32, %arg1: i1, %arg2: f64) -> i32 "None" {
spv.ReturnValue %arg0: i32
}
spv.func @value_vector(%arg0: vector<2xi64>, %arg1: vector<2xf32>) -> vector<2xf32> "None" {
spv.ReturnValue %arg1: vector<2xf32>
}