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February 21, 2024 16:50
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melior_usage.rs
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fn _main() { | |
println!("Hello, world!"); | |
let registry = DialectRegistry::new(); | |
register_all_dialects(®istry); | |
let context = Context::new(); | |
context.append_dialect_registry(®istry); | |
context.load_all_available_dialects(); | |
let location = Location::unknown(&context); | |
let mut module = Module::new(location); | |
let index_type = Type::index(&context); | |
let float32_type = Type::float32(&context); | |
let vector2_float32_type = Type::vector(&[2], float32_type); | |
let i64_type: Type = IntegerType::new(&context, 64).into(); | |
let tensor_type: Type = RankedTensorType::new(&[1], float32_type, None).into(); | |
let _memref_load_type: Type = MemRefType::new(vector2_float32_type, &[1], None, None).into(); | |
// see https://github.com/raviqqe/melior/issues/180 | |
let array_attr: Attribute = unsafe { | |
let raw_attr = mlirArrayAttrGet(context.to_raw(), 1, &IntegerAttribute::new(0, i64_type).to_raw()); | |
Attribute::from_raw(raw_attr) | |
}; | |
// add two floats together | |
module.body().append_operation(func::func( | |
&context, | |
StringAttribute::new(&context, "add"), | |
TypeAttribute::new(FunctionType::new(&context, &[float32_type, float32_type], &[float32_type]).into()), | |
{ | |
let block = Block::new(&[(float32_type, location), (float32_type, location)]); | |
let sum = block.append_operation(arith::addf( | |
block.argument(0).unwrap().into(), | |
block.argument(1).unwrap().into(), | |
location | |
)); | |
block.append_operation(func::r#return(&[sum.result(0).unwrap().into()], location)); | |
let region = Region::new(); | |
region.append_block(block); | |
region | |
}, | |
&[], | |
location | |
)); | |
// testing vector ops | |
module.body().append_operation(func::func( | |
&context, | |
StringAttribute::new(&context, "firstInVector"), | |
TypeAttribute::new(FunctionType::new(&context, &[vector2_float32_type], &[float32_type]).into()), | |
{ | |
// block arguments must match type attribute arguments | |
let block = Block::new(&[(vector2_float32_type, location)]); | |
let vector_extract_op = OperationBuilder::new("vector.extract", location) | |
.add_attributes(&[( | |
Identifier::new(&context, "position"), | |
array_attr | |
)]) | |
.add_operands(&[block.argument(0).unwrap().into()]) | |
.add_results(&[float32_type]) | |
.build(); | |
let vector_extract_op = block.append_operation(vector_extract_op); | |
block.append_operation(func::r#return(&[vector_extract_op.result(0).unwrap().into()], location)); | |
let region = Region::new(); | |
region.append_block(block); | |
region | |
}, | |
&[], | |
location | |
)); | |
// testing tensor ops | |
module.body().append_operation(func::func( | |
&context, | |
StringAttribute::new(&context, "firstInTensor"), | |
TypeAttribute::new(FunctionType::new(&context, &[tensor_type], &[float32_type]).into()), | |
{ | |
// block arguments must match type attribute arguments | |
let block = Block::new(&[(tensor_type, location)]); | |
let constant_op = index::constant(&context, IntegerAttribute::new(0, index_type), location); | |
let constant_op = block.append_operation(constant_op); | |
let tensor_extract_op = OperationBuilder::new("tensor.extract", location) | |
.add_operands(&[ | |
// tensor: ranked tensor of any type values | |
block.argument(0).unwrap().into(), | |
// indices: index | |
constant_op.result(0).unwrap().into() | |
]) | |
.add_results(&[float32_type]) | |
.build(); | |
let tensor_extract_op = block.append_operation(tensor_extract_op); | |
block.append_operation(func::r#return(&[tensor_extract_op.result(0).unwrap().into()], location)); | |
let region = Region::new(); | |
region.append_block(block); | |
region | |
}, | |
&[], | |
location | |
)); | |
let module_op = module.as_operation(); | |
module_op.dump(); | |
assert!(module_op.verify()); | |
if true { | |
// llvm | |
let pass_manager = PassManager::new(&context); | |
pass_manager.add_pass(pass::conversion::create_arith_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_math_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_func_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_vector_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_tensor_to_linalg()); | |
pass_manager.add_pass(pass::conversion::create_linalg_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_index_to_llvm_pass()); | |
/* pass_manager.add_pass(pass::conversion::create_tensor_to_linalg()); | |
pass_manager.add_pass(pass::conversion::create_linalg_to_standard()); | |
pass_manager.add_pass(pass::conversion::create_linalg_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_mem_ref_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_gpu_to_llvm()); */ | |
pass_manager.run(&mut module).unwrap(); | |
} else { | |
// spirv | |
let pass_manager = PassManager::new(&context); | |
pass_manager.add_pass(pass::conversion::create_arith_to_spirv()); | |
pass_manager.add_pass(pass::conversion::create_math_to_spirv()); | |
pass_manager.add_pass(pass::conversion::create_func_to_spirv()); | |
pass_manager.add_pass(pass::conversion::create_vector_to_spirv()); | |
//pass_manager.add_pass(pass::conversion::create_index_to_llvm_pass()); | |
/* pass_manager.add_pass(pass::conversion::create_tensor_to_linalg()); | |
pass_manager.add_pass(pass::conversion::create_linalg_to_standard()); | |
pass_manager.add_pass(pass::conversion::create_linalg_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_mem_ref_to_llvm()); | |
pass_manager.add_pass(pass::conversion::create_gpu_to_llvm()); */ | |
pass_manager.run(&mut module).unwrap(); | |
} | |
let module_op = module.as_operation(); | |
module_op.dump(); | |
assert!(module_op.verify()) | |
} |
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