artiq: Implement Python-to-LLVM conversion of ndarray
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84b7b76c96
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90134206c4
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@ -1,6 +1,14 @@
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use inkwell::{types::BasicType, values::BasicValueEnum, AddressSpace};
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use inkwell::{
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types::{BasicType, BasicTypeEnum},
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values::BasicValueEnum,
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AddressSpace,
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};
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use itertools::Itertools;
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use nac3core::{
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codegen::{CodeGenContext, CodeGenerator},
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codegen::{
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classes::{NDArrayType, ProxyType},
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CodeGenContext, CodeGenerator,
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},
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symbol_resolver::{StaticValue, SymbolResolver, SymbolValue, ValueEnum},
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toplevel::{
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helper::PrimDef,
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@ -670,7 +678,7 @@ impl InnerResolver {
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}
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(TypeEnum::TObj { obj_id, .. }, false) if *obj_id == PrimDef::NDArray.id() => {
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let (ty, ndims) = unpack_ndarray_var_tys(unifier, extracted_ty);
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let len: usize = self.helper.len_fn.call1(py, (obj,))?.extract(py)?;
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let len: usize = obj.getattr("ndim")?.extract()?;
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if len == 0 {
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assert!(matches!(
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&*unifier.get_ty(ty),
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@ -679,10 +687,10 @@ impl InnerResolver {
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));
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Ok(Ok(extracted_ty))
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} else {
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let actual_ty =
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self.get_list_elem_type(py, obj, len, unifier, defs, primitives)?;
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match actual_ty {
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Ok(t) => match unifier.unify(ty, t) {
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let dtype = obj.getattr("dtype")?.getattr("type")?;
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let dtype_ty = self.get_pyty_obj_type(py, dtype, unifier, defs, primitives)?;
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match dtype_ty {
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Ok((t, _)) => match unifier.unify(ty, t) {
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Ok(()) => {
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let ndarray_ty =
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make_ndarray_ty(unifier, primitives, Some(ty), Some(ndims));
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@ -966,7 +974,143 @@ impl InnerResolver {
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Ok(Some(global.as_pointer_value().into()))
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} else if ty_id == self.primitive_ids.ndarray {
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todo!()
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let id_str = id.to_string();
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if let Some(global) = ctx.module.get_global(&id_str) {
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return Ok(Some(global.as_pointer_value().into()));
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}
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let ndarray_ty = if matches!(&*ctx.unifier.get_ty_immutable(expected_ty), TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id())
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{
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expected_ty
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} else {
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unreachable!("must be ndarray")
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};
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let (ndarray_dtype, ndarray_ndims) =
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unpack_ndarray_var_tys(&mut ctx.unifier, ndarray_ty);
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let llvm_usize = generator.get_size_type(ctx.ctx);
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let ndarray_dtype_llvm_ty = ctx.get_llvm_type(generator, ndarray_dtype);
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let ndarray_llvm_ty = NDArrayType::new(generator, ctx.ctx, ndarray_dtype_llvm_ty);
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{
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if self.global_value_ids.read().contains_key(&id) {
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let global = ctx.module.get_global(&id_str).unwrap_or_else(|| {
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ctx.module.add_global(
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ndarray_llvm_ty.as_underlying_type(),
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Some(AddressSpace::default()),
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&id_str,
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)
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});
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return Ok(Some(global.as_pointer_value().into()));
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}
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self.global_value_ids.write().insert(id, obj.into());
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}
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let TypeEnum::TLiteral { values, .. } = &*ctx.unifier.get_ty_immutable(ndarray_ndims)
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else {
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unreachable!("Expected Literal for ndarray_ndims")
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};
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let ndarray_ndims = if values.len() == 1 {
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values[0].clone()
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} else {
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todo!("Unpacking literal of more than one element unimplemented")
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};
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let Ok(ndarray_ndims) = u64::try_from(ndarray_ndims) else {
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unreachable!("Expected u64 value for ndarray_ndims")
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};
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// Obtain the shape of the ndarray
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let shape_tuple: &PyTuple = obj.getattr("shape")?.downcast()?;
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assert_eq!(shape_tuple.len(), ndarray_ndims as usize);
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let shape_values: Result<Option<Vec<_>>, _> = shape_tuple
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.iter()
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.enumerate()
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.map(|(i, elem)| {
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self.get_obj_value(py, elem, ctx, generator, ctx.primitives.usize()).map_err(
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|e| super::CompileError::new_err(format!("Error getting element {i}: {e}")),
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)
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})
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.collect();
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let shape_values = shape_values?.unwrap();
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let shape_values = llvm_usize.const_array(
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&shape_values.into_iter().map(BasicValueEnum::into_int_value).collect_vec(),
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);
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// create a global for ndarray.shape and initialize it using the shape
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let shape_global = ctx.module.add_global(
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llvm_usize.array_type(ndarray_ndims as u32),
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Some(AddressSpace::default()),
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&(id_str.clone() + ".shape"),
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);
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shape_global.set_initializer(&shape_values);
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// Obtain the (flattened) elements of the ndarray
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let sz: usize = obj.getattr("size")?.extract()?;
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let data: Result<Option<Vec<_>>, _> = (0..sz)
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.map(|i| {
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obj.getattr("flat")?.get_item(i).and_then(|elem| {
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self.get_obj_value(py, elem, ctx, generator, ndarray_dtype).map_err(|e| {
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super::CompileError::new_err(format!("Error getting element {i}: {e}"))
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})
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})
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})
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.collect();
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let data = data?.unwrap().into_iter();
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let data = match ndarray_dtype_llvm_ty {
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BasicTypeEnum::ArrayType(ty) => {
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ty.const_array(&data.map(BasicValueEnum::into_array_value).collect_vec())
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}
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BasicTypeEnum::FloatType(ty) => {
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ty.const_array(&data.map(BasicValueEnum::into_float_value).collect_vec())
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}
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BasicTypeEnum::IntType(ty) => {
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ty.const_array(&data.map(BasicValueEnum::into_int_value).collect_vec())
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}
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BasicTypeEnum::PointerType(ty) => {
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ty.const_array(&data.map(BasicValueEnum::into_pointer_value).collect_vec())
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}
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BasicTypeEnum::StructType(ty) => {
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ty.const_array(&data.map(BasicValueEnum::into_struct_value).collect_vec())
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}
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BasicTypeEnum::VectorType(_) => unreachable!(),
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};
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// create a global for ndarray.data and initialize it using the elements
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let data_global = ctx.module.add_global(
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ndarray_dtype_llvm_ty.array_type(sz as u32),
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Some(AddressSpace::default()),
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&(id_str.clone() + ".data"),
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);
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data_global.set_initializer(&data);
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// create a global for the ndarray object and initialize it
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let value = ndarray_llvm_ty.as_underlying_type().const_named_struct(&[
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llvm_usize.const_int(ndarray_ndims, false).into(),
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shape_global
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.as_pointer_value()
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.const_cast(llvm_usize.ptr_type(AddressSpace::default()))
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.into(),
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data_global
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.as_pointer_value()
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.const_cast(ndarray_dtype_llvm_ty.ptr_type(AddressSpace::default()))
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.into(),
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]);
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let ndarray = ctx.module.add_global(
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ndarray_llvm_ty.as_underlying_type(),
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Some(AddressSpace::default()),
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&id_str,
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);
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ndarray.set_initializer(&value);
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Ok(Some(ndarray.as_pointer_value().into()))
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} else if ty_id == self.primitive_ids.tuple {
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let expected_ty_enum = ctx.unifier.get_ty_immutable(expected_ty);
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let TypeEnum::TTuple { ty } = expected_ty_enum.as_ref() else { unreachable!() };
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