ConvertGPUToSPIRVPass.cpp
3.72 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
//===- ConvertGPUToSPIRVPass.cpp - GPU to SPIR-V dialect lowering passes --===//
//
// Part of the MLIR Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file implements a pass to convert a kernel function in the GPU Dialect
// into a spv.module operation
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/GPUToSPIRV/ConvertGPUToSPIRVPass.h"
#include "mlir/Conversion/GPUToSPIRV/ConvertGPUToSPIRV.h"
#include "mlir/Conversion/StandardToSPIRV/ConvertStandardToSPIRV.h"
#include "mlir/Dialect/GPU/GPUDialect.h"
#include "mlir/Dialect/LoopOps/LoopOps.h"
#include "mlir/Dialect/SPIRV/SPIRVDialect.h"
#include "mlir/Dialect/SPIRV/SPIRVLowering.h"
#include "mlir/Dialect/SPIRV/SPIRVOps.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Pass/PassRegistry.h"
using namespace mlir;
namespace {
/// Pass to lower GPU Dialect to SPIR-V. The pass only converts those functions
/// that have the "gpu.kernel" attribute, i.e. those functions that are
/// referenced in gpu::LaunchKernelOp operations. For each such function
///
/// 1) Create a spirv::ModuleOp, and clone the function into spirv::ModuleOp
/// (the original function is still needed by the gpu::LaunchKernelOp, so cannot
/// replace it).
///
/// 2) Lower the body of the spirv::ModuleOp.
class GPUToSPIRVPass : public ModulePass<GPUToSPIRVPass> {
public:
GPUToSPIRVPass() = default;
GPUToSPIRVPass(const GPUToSPIRVPass &) {}
GPUToSPIRVPass(ArrayRef<int64_t> workGroupSize) {
this->workGroupSize = workGroupSize;
}
void runOnModule() override;
private:
/// Command line option to specify the workgroup size.
ListOption<int64_t> workGroupSize{
*this, "workgroup-size",
llvm::cl::desc(
"Workgroup Sizes in the SPIR-V module for x, followed by y, followed "
"by z dimension of the dispatch (others will be ignored)"),
llvm::cl::ZeroOrMore, llvm::cl::MiscFlags::CommaSeparated};
};
} // namespace
void GPUToSPIRVPass::runOnModule() {
MLIRContext *context = &getContext();
ModuleOp module = getModule();
SmallVector<Operation *, 1> kernelModules;
OpBuilder builder(context);
module.walk([&builder, &kernelModules](ModuleOp moduleOp) {
if (moduleOp.getAttrOfType<UnitAttr>(
gpu::GPUDialect::getKernelModuleAttrName())) {
// For each kernel module (should be only 1 for now, but that is not a
// requirement here), clone the module for conversion because the
// gpu.launch function still needs the kernel module.
builder.setInsertionPoint(moduleOp.getOperation());
kernelModules.push_back(builder.clone(*moduleOp.getOperation()));
}
});
SPIRVTypeConverter typeConverter;
OwningRewritePatternList patterns;
populateGPUToSPIRVPatterns(context, typeConverter, patterns, workGroupSize);
populateStandardToSPIRVPatterns(context, typeConverter, patterns);
std::unique_ptr<ConversionTarget> target = spirv::SPIRVConversionTarget::get(
spirv::lookupTargetEnvOrDefault(module), context);
target->addDynamicallyLegalOp<FuncOp>(
[&](FuncOp op) { return typeConverter.isSignatureLegal(op.getType()); });
if (failed(applyFullConversion(kernelModules, *target, patterns,
&typeConverter))) {
return signalPassFailure();
}
}
std::unique_ptr<OpPassBase<ModuleOp>>
mlir::createConvertGPUToSPIRVPass(ArrayRef<int64_t> workGroupSize) {
return std::make_unique<GPUToSPIRVPass>(workGroupSize);
}
static PassRegistration<GPUToSPIRVPass>
pass("convert-gpu-to-spirv", "Convert GPU dialect to SPIR-V dialect");