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//===- ConvertToBinary.cpp - MLIR SPIR-V module to binary conversion ------===//
//
// Copyright 2019 The MLIR Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// =============================================================================
//
// This file implements a translation from MLIR SPIR-V ModuleOp to SPIR-V
// binary module.
//
//===----------------------------------------------------------------------===//
#include "mlir/IR/Module.h"
#include "mlir/SPIRV/SPIRVOps.h"
#include "mlir/SPIRV/Serialization.h"
#include "mlir/Support/FileUtilities.h"
#include "mlir/Support/LogicalResult.h"
#include "mlir/Translation.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/Support/ToolOutputFile.h"
using namespace mlir;
LogicalResult serializeModule(Module *module, StringRef outputFilename) {
if (!module)
return failure();
SmallVector<uint32_t, 0> binary;
bool done = false;
bool success = false;
// TODO(antiagainst): we are checking there is only one SPIR-V ModuleOp in
// this module and serialize it. This is due to the restriction of the current
// translation infrastructure; we must take in a MLIR module here. So we are
// wrapping the SPIR-V ModuleOp inside a MLIR module. This should be changed
// to take in the SPIR-V ModuleOp directly after module and function are
// migrated to be general ops.
for (auto fn : *module) {
fn.walk<spirv::ModuleOp>([&](spirv::ModuleOp spirvModule) {
if (done) {
spirvModule.emitError("found more than one 'spv.module' op");
return;
}
done = true;
success = spirv::serialize(spirvModule, binary);
});
}
if (!success)
return failure();
auto file = openOutputFile(outputFilename);
if (!file)
return failure();
file->os().write(reinterpret_cast<char *>(binary.data()),
binary.size() * sizeof(uint32_t));
file->keep();
return mlir::success();
}
static TranslateFromMLIRRegistration
registration("serialize-spirv",
[](Module *module, StringRef outputFilename) {
return failed(serializeModule(module, outputFilename));
});
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