//===- GPUToSPIRVPass.cpp - GPU to SPIR-V Passes --------------------------===//
//
// Part of the LLVM 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/GPUToSPIRVPass.h"

#include "../PassDetail.h"
#include "mlir/Conversion/ArithmeticToSPIRV/ArithmeticToSPIRV.h"
#include "mlir/Conversion/FuncToSPIRV/FuncToSPIRV.h"
#include "mlir/Conversion/GPUToSPIRV/GPUToSPIRV.h"
#include "mlir/Conversion/MemRefToSPIRV/MemRefToSPIRV.h"
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/Dialect/SPIRV/IR/SPIRVDialect.h"
#include "mlir/Dialect/SPIRV/IR/SPIRVOps.h"
#include "mlir/Dialect/SPIRV/Transforms/SPIRVConversion.h"

using namespace mlir;

namespace {
/// Pass to lower GPU Dialect to SPIR-V. The pass only converts the gpu.func ops
/// inside gpu.module ops. i.e., the function that are referenced in
/// gpu.launch_func ops. 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.
struct GPUToSPIRVPass : public ConvertGPUToSPIRVBase<GPUToSPIRVPass> {
  void runOnOperation() override;
};
} // namespace

void GPUToSPIRVPass::runOnOperation() {
  MLIRContext *context = &getContext();
  ModuleOp module = getOperation();

  SmallVector<Operation *, 1> kernelModules;
  OpBuilder builder(context);
  module.walk([&builder, &kernelModules](gpu::GPUModuleOp moduleOp) {
    // 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()));
  });

  auto targetAttr = spirv::lookupTargetEnvOrDefault(module);
  std::unique_ptr<ConversionTarget> target =
      SPIRVConversionTarget::get(targetAttr);

  SPIRVTypeConverter typeConverter(targetAttr);
  RewritePatternSet patterns(context);
  populateGPUToSPIRVPatterns(typeConverter, patterns);

  // TODO: Change SPIR-V conversion to be progressive and remove the following
  // patterns.
  mlir::arith::populateArithmeticToSPIRVPatterns(typeConverter, patterns);
  populateMemRefToSPIRVPatterns(typeConverter, patterns);
  populateFuncToSPIRVPatterns(typeConverter, patterns);

  if (failed(applyFullConversion(kernelModules, *target, std::move(patterns))))
    return signalPassFailure();
}

std::unique_ptr<OperationPass<ModuleOp>> mlir::createConvertGPUToSPIRVPass() {
  return std::make_unique<GPUToSPIRVPass>();
}