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core: Add NDArrayValue and helper functions

This commit is contained in:
David Mak 2024-01-22 16:51:35 +08:00
parent 148900302e
commit 8470915809
5 changed files with 630 additions and 243 deletions
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489
nac3core/src/codegen/classes.rs
View File

@ -3,7 +3,12 @@ use inkwell::{
types::{AnyTypeEnum, BasicTypeEnum, IntType, PointerType},
values::{BasicValueEnum, IntValue, PointerValue},
};
use crate::codegen::{CodeGenContext, CodeGenerator};
use crate::codegen::{
CodeGenContext,
CodeGenerator,
irrt::{call_ndarray_calc_size, call_ndarray_flatten_index},
stmt::gen_for_callback,
};
#[cfg(not(debug_assertions))]
pub fn assert_is_list<'ctx>(_value: PointerValue<'ctx>, _llvm_usize: IntType<'ctx>) {}
@ -380,3 +385,485 @@ impl<'ctx> RangeValue<'ctx> {
ctx.builder.build_load(pstep, var_name.as_str()).into_int_value()
}
}
#[cfg(not(debug_assertions))]
pub fn assert_is_ndarray<'ctx>(_value: PointerValue<'ctx>, _llvm_usize: IntType<'ctx>) {}
#[cfg(debug_assertions)]
pub fn assert_is_ndarray<'ctx>(value: PointerValue<'ctx>, llvm_usize: IntType<'ctx>) {
if let Err(msg) = NDArrayValue::is_instance(value, llvm_usize) {
panic!("{msg}")
}
}
/// Proxy type for accessing an `NDArray` value in LLVM.
#[derive(Copy, Clone)]
pub struct NDArrayValue<'ctx>(PointerValue<'ctx>, Option<&'ctx str>);
impl<'ctx> NDArrayValue<'ctx> {
/// Checks whether `value` is an instance of `NDArray`, returning [Err] if `value` is not an
/// instance.
pub fn is_instance(
value: PointerValue<'ctx>,
llvm_usize: IntType<'ctx>,
) -> Result<(), String> {
let llvm_ndarray_ty = value.get_type().get_element_type();
let AnyTypeEnum::StructType(llvm_ndarray_ty) = llvm_ndarray_ty else {
return Err(format!("Expected struct type for `NDArray` type, got {llvm_ndarray_ty}"))
};
if llvm_ndarray_ty.count_fields() != 3 {
return Err(format!("Expected 3 fields in `NDArray`, got {}", llvm_ndarray_ty.count_fields()))
}
let ndarray_ndims_ty = llvm_ndarray_ty.get_field_type_at_index(0).unwrap();
let Ok(ndarray_ndims_ty) = IntType::try_from(ndarray_ndims_ty) else {
return Err(format!("Expected int type for `ndarray.0`, got {ndarray_ndims_ty}"))
};
if ndarray_ndims_ty.get_bit_width() != llvm_usize.get_bit_width() {
return Err(format!("Expected {}-bit int type for `ndarray.0`, got {}-bit int",
llvm_usize.get_bit_width(),
ndarray_ndims_ty.get_bit_width()))
}
let ndarray_dims_ty = llvm_ndarray_ty.get_field_type_at_index(1).unwrap();
let Ok(ndarray_pdims) = PointerType::try_from(ndarray_dims_ty) else {
return Err(format!("Expected pointer type for `ndarray.1`, got {ndarray_dims_ty}"))
};
let ndarray_dims = ndarray_pdims.get_element_type();
let Ok(ndarray_dims) = IntType::try_from(ndarray_dims) else {
return Err(format!("Expected pointer-to-int type for `ndarray.1`, got pointer-to-{ndarray_dims}"))
};
if ndarray_dims.get_bit_width() != llvm_usize.get_bit_width() {
return Err(format!("Expected pointer-to-{}-bit int type for `ndarray.1`, got pointer-to-{}-bit int",
llvm_usize.get_bit_width(),
ndarray_dims.get_bit_width()))
}
let ndarray_data_ty = llvm_ndarray_ty.get_field_type_at_index(2).unwrap();
let Ok(_) = PointerType::try_from(ndarray_data_ty) else {
return Err(format!("Expected pointer type for `ndarray.2`, got {ndarray_data_ty}"))
};
Ok(())
}
/// Creates an [NDArrayValue] from a [PointerValue].
pub fn from_ptr_val(
ptr: PointerValue<'ctx>,
llvm_usize: IntType<'ctx>,
name: Option<&'ctx str>,
) -> Self {
assert_is_ndarray(ptr, llvm_usize);
NDArrayValue(ptr, name)
}
/// Returns the underlying [PointerValue] pointing to the `NDArray` instance.
pub fn get_ptr(&self) -> PointerValue<'ctx> {
self.0
}
/// Returns the pointer to the field storing the number of dimensions of this `NDArray`.
fn get_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let llvm_i32 = ctx.ctx.i32_type();
let var_name = self.1.map(|v| format!("{v}.ndims.addr")).unwrap_or_default();
unsafe {
ctx.builder.build_in_bounds_gep(
self.0,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
var_name.as_str(),
)
}
}
/// Stores the number of dimensions `ndims` into this instance.
pub fn store_ndims(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &dyn CodeGenerator,
ndims: IntValue<'ctx>,
) {
debug_assert_eq!(ndims.get_type(), generator.get_size_type(ctx.ctx));
let pndims = self.get_ndims(ctx);
ctx.builder.build_store(pndims, ndims);
}
/// Returns the number of dimensions of this `NDArray` as a value.
pub fn load_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
let pndims = self.get_ndims(ctx);
ctx.builder.build_load(pndims, "").into_int_value()
}
/// Returns the double-indirection pointer to the `dims` array, as if by calling `getelementptr`
/// on the field.
fn get_dims_ptr(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let llvm_i32 = ctx.ctx.i32_type();
let var_name = self.1.map(|v| format!("{v}.dims.addr")).unwrap_or_default();
unsafe {
ctx.builder.build_in_bounds_gep(
self.get_ptr(),
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
var_name.as_str(),
)
}
}
/// Stores the array of dimension sizes `dims` into this instance.
fn store_dims(&self, ctx: &CodeGenContext<'ctx, '_>, dims: PointerValue<'ctx>) {
ctx.builder.build_store(self.get_dims_ptr(ctx), dims);
}
/// Convenience method for creating a new array storing dimension sizes with the given `size`.
pub fn create_dims(
&self,
ctx: &CodeGenContext<'ctx, '_>,
llvm_usize: IntType<'ctx>,
size: IntValue<'ctx>,
) {
self.store_dims(ctx, ctx.builder.build_array_alloca(llvm_usize, size, ""));
}
/// Returns a proxy object to the field storing the size of each dimension of this `NDArray`.
pub fn get_dims(&self) -> NDArrayDimsProxy<'ctx> {
NDArrayDimsProxy(self.clone())
}
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
/// on the field.
fn get_data_ptr(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let llvm_i32 = ctx.ctx.i32_type();
let var_name = self.1.map(|v| format!("{v}.data.addr")).unwrap_or_default();
unsafe {
ctx.builder.build_in_bounds_gep(
self.get_ptr(),
&[llvm_i32.const_zero(), llvm_i32.const_int(2, true)],
var_name.as_str(),
)
}
}
/// Stores the array of data elements `data` into this instance.
fn store_data(&self, ctx: &CodeGenContext<'ctx, '_>, data: PointerValue<'ctx>) {
ctx.builder.build_store(self.get_data_ptr(ctx), data);
}
/// Convenience method for creating a new array storing data elements with the given element
/// type `elem_ty` and
/// `size`.
pub fn create_data(
&self,
ctx: &CodeGenContext<'ctx, '_>,
elem_ty: BasicTypeEnum<'ctx>,
size: IntValue<'ctx>,
) {
self.store_data(ctx, ctx.builder.build_array_alloca(elem_ty, size, ""));
}
/// Returns a proxy object to the field storing the data of this `NDArray`.
pub fn get_data(&self) -> NDArrayDataProxy<'ctx> {
NDArrayDataProxy(self.clone())
}
}
impl<'ctx> Into<PointerValue<'ctx>> for NDArrayValue<'ctx> {
fn into(self) -> PointerValue<'ctx> {
self.get_ptr()
}
}
/// Proxy type for accessing the `dims` array of an `NDArray` instance in LLVM.
#[derive(Copy, Clone)]
pub struct NDArrayDimsProxy<'ctx>(NDArrayValue<'ctx>);
impl<'ctx> NDArrayDimsProxy<'ctx> {
/// Returns the single-indirection pointer to the array.
pub fn get_ptr(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let var_name = self.0.1.map(|v| format!("{v}.dims")).unwrap_or_default();
ctx.builder.build_load(self.0.get_dims_ptr(ctx), var_name.as_str()).into_pointer_value()
}
/// Returns the pointer to the size of the `idx`-th dimension.
pub fn ptr_offset(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut dyn CodeGenerator,
idx: IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let in_range = ctx.builder.build_int_compare(
IntPredicate::ULT,
idx,
self.0.load_ndims(ctx),
""
);
ctx.make_assert(
generator,
in_range,
"0:IndexError",
"index {0} is out of bounds for axis 0 with size {1}",
[Some(idx), Some(self.0.load_ndims(ctx)), None],
ctx.current_loc,
);
let var_name = name
.map(|v| format!("{v}.addr"))
.unwrap_or_default();
unsafe {
ctx.builder.build_in_bounds_gep(
self.get_ptr(ctx),
&[idx],
var_name.as_str(),
)
}
}
/// Returns the size of the `idx`-th dimension.
pub fn get(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut dyn CodeGenerator,
idx: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
let ptr = self.ptr_offset(ctx, generator, idx, name);
ctx.builder.build_load(ptr, name.unwrap_or_default()).into_int_value()
}
}
/// Proxy type for accessing the `data` array of an `NDArray` instance in LLVM.
#[derive(Copy, Clone)]
pub struct NDArrayDataProxy<'ctx>(NDArrayValue<'ctx>);
impl<'ctx> NDArrayDataProxy<'ctx> {
/// Returns the single-indirection pointer to the array.
pub fn get_ptr(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let var_name = self.0.1.map(|v| format!("{v}.data")).unwrap_or_default();
ctx.builder.build_load(self.0.get_data_ptr(ctx), var_name.as_str()).into_pointer_value()
}
pub unsafe fn ptr_to_data_flattened_unchecked(
&self,
ctx: &CodeGenContext<'ctx, '_>,
idx: IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
ctx.builder.build_in_bounds_gep(
self.get_ptr(ctx),
&[idx],
name.unwrap_or_default(),
)
}
/// Returns the pointer to the data at the `idx`-th flattened index.
pub fn ptr_to_data_flattened(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut dyn CodeGenerator,
idx: IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let ndims = self.0.load_ndims(ctx);
let dims = self.0.get_dims().get_ptr(ctx);
let data_sz = call_ndarray_calc_size(generator, ctx, ndims, dims);
let in_range = ctx.builder.build_int_compare(
IntPredicate::ULT,
idx,
data_sz,
""
);
ctx.make_assert(
generator,
in_range,
"0:IndexError",
"index {0} is out of bounds with size {1}",
[Some(idx), Some(self.0.load_ndims(ctx)), None],
ctx.current_loc,
);
unsafe {
self.ptr_to_data_flattened_unchecked(ctx, idx, name)
}
}
pub unsafe fn get_flattened_unchecked(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
idx: IntValue<'ctx>,
name: Option<&str>,
) -> BasicValueEnum<'ctx> {
let ptr = self.ptr_to_data_flattened_unchecked(ctx, idx, name);
ctx.builder.build_load(ptr, name.unwrap_or_default())
}
/// Returns the data at the `idx`-th flattened index.
pub fn get_flattened(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut dyn CodeGenerator,
idx: IntValue<'ctx>,
name: Option<&str>,
) -> BasicValueEnum<'ctx> {
let ptr = self.ptr_to_data_flattened(ctx, generator, idx, name);
ctx.builder.build_load(ptr, name.unwrap_or_default())
}
pub unsafe fn ptr_offset_unchecked(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &dyn CodeGenerator,
indices: ListValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let indices_elem_ty = indices.get_data().get_ptr(ctx).get_type().get_element_type();
let Ok(indices_elem_ty) = IntType::try_from(indices_elem_ty) else {
panic!("Expected list[int32] but got {indices_elem_ty}")
};
assert_eq!(indices_elem_ty.get_bit_width(), 32, "Expected list[int32] but got {indices_elem_ty}");
let index = call_ndarray_flatten_index(
generator,
ctx,
self.0,
indices,
).unwrap();
unsafe {
ctx.builder.build_in_bounds_gep(
self.get_ptr(ctx),
&[index],
name.unwrap_or_default(),
)
}
}
/// Returns the pointer to the data at the index specified by `indices`.
pub fn ptr_offset(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut dyn CodeGenerator,
indices: ListValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let llvm_usize = generator.get_size_type(ctx.ctx);
let nidx_leq_ndims = ctx.builder.build_int_compare(
IntPredicate::SLE,
indices.load_size(ctx, None),
self.0.load_ndims(ctx),
""
);
ctx.make_assert(
generator,
nidx_leq_ndims,
"0:IndexError",
"invalid index to scalar variable",
[None, None, None],
ctx.current_loc,
);
gen_for_callback(
generator,
ctx,
|generator, ctx| {
let i = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
ctx.builder.build_store(i, llvm_usize.const_zero());
Ok(i)
},
|_, ctx, i_addr| {
let indices_len = indices.load_size(ctx, None);
let ndarray_len = self.0.load_ndims(ctx);
let min_fn_name = format!("llvm.umin.i{}", llvm_usize.get_bit_width());
let min_fn = ctx.module.get_function(min_fn_name.as_str()).unwrap_or_else(|| {
let fn_type = llvm_usize.fn_type(
&[llvm_usize.into(), llvm_usize.into()],
false
);
ctx.module.add_function(min_fn_name.as_str(), fn_type, None)
});
let len = ctx
.builder
.build_call(min_fn, &[indices_len.into(), ndarray_len.into()], "")
.try_as_basic_value()
.map_left(|v| v.into_int_value())
.left()
.unwrap();
let i = ctx.builder.build_load(i_addr, "").into_int_value();
Ok(ctx.builder.build_int_compare(IntPredicate::SLT, i, len, ""))
},
|generator, ctx, i_addr| {
let i = ctx.builder.build_load(i_addr, "").into_int_value();
let (dim_idx, dim_sz) = unsafe {
(
indices.get_data().get_unchecked(ctx, i, None).into_int_value(),
self.0.get_dims().get(ctx, generator, i, None),
)
};
let dim_lt = ctx.builder.build_int_compare(
IntPredicate::SLT,
dim_idx,
dim_sz,
""
);
ctx.make_assert(
generator,
dim_lt,
"0:IndexError",
"index {0} is out of bounds for axis 0 with size {1}",
[Some(dim_idx), Some(dim_sz), None],
ctx.current_loc,
);
Ok(())
},
|_, ctx, i_addr| {
let i = ctx.builder
.build_load(i_addr, "")
.into_int_value();
let i = ctx.builder.build_int_add(i, llvm_usize.const_int(1, true), "");
ctx.builder.build_store(i_addr, i);
Ok(())
},
).unwrap();
unsafe {
self.ptr_offset_unchecked(ctx, generator, indices, name)
}
}
pub unsafe fn get_unsafe(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &dyn CodeGenerator,
indices: ListValue<'ctx>,
name: Option<&str>,
) -> BasicValueEnum<'ctx> {
let ptr = self.ptr_offset_unchecked(ctx, generator, indices, name);
ctx.builder.build_load(ptr, name.unwrap_or_default())
}
/// Returns the data at the index specified by `indices`.
pub fn get(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut dyn CodeGenerator,
indices: ListValue<'ctx>,
name: Option<&str>,
) -> BasicValueEnum<'ctx> {
let ptr = self.ptr_offset(ctx, generator, indices, name);
ctx.builder.build_load(ptr, name.unwrap_or_default())
}
}

36
nac3core/src/codegen/irrt/irrt.c
View File

@ -269,3 +269,39 @@ void __nac3_ndarray_calc_nd_indices64(
stride *= dims[i];
}
}
uint32_t __nac3_ndarray_flatten_index(
const uint32_t* dims,
uint32_t num_dims,
const uint32_t* indices,
uint32_t num_indices
) {
uint32_t idx = 0;
uint32_t stride = 1;
for (uint32_t i = num_dims - 1; i-- >= 0; ) {
if (i < num_indices) {
idx += (stride * indices[i]);
}
stride *= dims[i];
}
return idx;
}
uint64_t __nac3_ndarray_flatten_index64(
const uint64_t* dims,
uint64_t num_dims,
const uint32_t* indices,
uint64_t num_indices
) {
uint64_t idx = 0;
uint64_t stride = 1;
for (uint64_t i = num_dims - 1; i-- >= 0; ) {
if (i < num_indices) {
idx += (stride * indices[i]);
}
stride *= dims[i];
}
return idx;
}

100
nac3core/src/codegen/irrt/mod.rs
View File

@ -1,8 +1,7 @@
use crate::typecheck::typedef::Type;
use super::{
classes::ListValue,
assert_is_ndarray,
classes::{ListValue, NDArrayValue},
CodeGenContext,
CodeGenerator,
};
@ -607,7 +606,7 @@ pub fn call_ndarray_calc_size<'ctx>(
pub fn call_ndarray_init_dims<'ctx>(
generator: &dyn CodeGenerator,
ctx: &mut CodeGenContext<'ctx, '_>,
ndarray: PointerValue<'ctx>,
ndarray: NDArrayValue<'ctx>,
shape: ListValue<'ctx>,
) {
let llvm_void = ctx.ctx.void_type();
@ -617,8 +616,6 @@ pub fn call_ndarray_init_dims<'ctx>(
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
assert_is_ndarray(ndarray);
let ndarray_init_dims_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_init_dims",
64 => "__nac3_ndarray_init_dims64",
@ -637,22 +634,14 @@ pub fn call_ndarray_init_dims<'ctx>(
ctx.module.add_function(ndarray_init_dims_fn_name, fn_type, None)
});
let ndarray_dims = ctx.build_gep_and_load(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
None,
);
let ndarray_dims = ndarray.get_dims();
let shape_data = shape.get_data();
let ndarray_num_dims = ctx.build_gep_and_load(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
None,
).into_int_value();
let ndarray_num_dims = ndarray.load_ndims(ctx);
ctx.builder.build_call(
ndarray_init_dims_fn,
&[
ndarray_dims.into(),
ndarray_dims.get_ptr(ctx).into(),
shape_data.get_ptr(ctx).into(),
ndarray_num_dims.into(),
],
@ -669,12 +658,9 @@ pub fn call_ndarray_calc_nd_indices<'ctx>(
generator: &dyn CodeGenerator,
ctx: &mut CodeGenContext<'ctx, '_>,
index: IntValue<'ctx>,
ndarray: PointerValue<'ctx>,
ndarray: NDArrayValue<'ctx>,
) -> Result<PointerValue<'ctx>, String> {
assert_is_ndarray(ndarray);
let llvm_void = ctx.ctx.void_type();
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
@ -698,16 +684,8 @@ pub fn call_ndarray_calc_nd_indices<'ctx>(
ctx.module.add_function(ndarray_calc_nd_indices_fn_name, fn_type, None)
});
let ndarray_num_dims = ctx.build_gep_and_load(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
None,
).into_int_value();
let ndarray_dims = ctx.build_gep_and_load(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
None,
).into_pointer_value();
let ndarray_num_dims = ndarray.load_ndims(ctx);
let ndarray_dims = ndarray.get_dims();
let indices = ctx.builder.build_array_alloca(
llvm_usize,
@ -719,7 +697,7 @@ pub fn call_ndarray_calc_nd_indices<'ctx>(
ndarray_calc_nd_indices_fn,
&[
index.into(),
ndarray_dims.into(),
ndarray_dims.get_ptr(ctx).into(),
ndarray_num_dims.into(),
indices.into(),
],
@ -728,3 +706,63 @@ pub fn call_ndarray_calc_nd_indices<'ctx>(
Ok(indices)
}
/// Generates a call to `__nac3_ndarray_flatten_index`.
///
/// * `ndarray` - LLVM pointer to the NDArray. This value must be the LLVM representation of an
/// `NDArray`.
/// * `indices` - The multidimensional index to compute the flattened index for.
pub fn call_ndarray_flatten_index<'ctx>(
generator: &dyn CodeGenerator,
ctx: &CodeGenContext<'ctx, '_>,
ndarray: NDArrayValue<'ctx>,
indices: ListValue<'ctx>,
) -> Result<IntValue<'ctx>, String> {
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_flatten_index_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_flatten_index",
64 => "__nac3_ndarray_flatten_index64",
bw => unreachable!("Unsupported size type bit width: {}", bw)
};
let ndarray_flatten_index_fn = ctx.module.get_function(ndarray_flatten_index_fn_name).unwrap_or_else(|| {
let fn_type = llvm_usize.fn_type(
&[
llvm_usize.into(),
llvm_pusize.into(),
llvm_pi32.into(),
llvm_pusize.into(),
],
false,
);
ctx.module.add_function(ndarray_flatten_index_fn_name, fn_type, None)
});
let ndarray_num_dims = ndarray.load_ndims(ctx);
let ndarray_dims = ndarray.get_dims();
let indices_size = indices.load_size(ctx, None);
let indices_data = indices.get_data();
let index = ctx.builder
.build_call(
ndarray_flatten_index_fn,
&[
ndarray_num_dims.into(),
ndarray_dims.get_ptr(ctx).into(),
indices_size.into(),
indices_data.get_ptr(ctx).into(),
],
"",
)
.try_as_basic_value()
.map_left(|v| v.into_int_value())
.left()
.unwrap();
Ok(index)
}

27
nac3core/src/codegen/mod.rs
View File

@ -34,9 +34,6 @@ use std::sync::{
};
use std::thread;
#[cfg(debug_assertions)]
use inkwell::types::AnyTypeEnum;
pub mod classes;
pub mod concrete_type;
pub mod expr;
@ -999,27 +996,3 @@ fn gen_in_range_check<'ctx>(
ctx.builder.build_int_compare(IntPredicate::SLT, lo, hi, "cmp")
}
/// Checks whether the pointer `value` refers to an `NDArray` in LLVM.
fn assert_is_ndarray(value: PointerValue) -> PointerValue {
#[cfg(debug_assertions)]
{
let llvm_ndarray_ty = value.get_type().get_element_type();
let AnyTypeEnum::StructType(llvm_ndarray_ty) = llvm_ndarray_ty else {
panic!("Expected struct type for `NDArray` type, but got {llvm_ndarray_ty}")
};
assert_eq!(llvm_ndarray_ty.count_fields(), 3);
assert!(matches!(llvm_ndarray_ty.get_field_type_at_index(0), Some(BasicTypeEnum::IntType(..))));
let Some(ndarray_dims) = llvm_ndarray_ty.get_field_type_at_index(1) else {
unreachable!()
};
let BasicTypeEnum::PointerType(dims) = ndarray_dims else {
panic!("Expected pointer type for `list.1`, but got {ndarray_dims}")
};
assert!(matches!(dims.get_element_type(), AnyTypeEnum::IntType(..)));
assert!(matches!(llvm_ndarray_ty.get_field_type_at_index(2), Some(BasicTypeEnum::PointerType(..))));
}
value
}

219
nac3core/src/toplevel/numpy.rs
View File

@ -3,7 +3,7 @@ use inkwell::values::{ArrayValue, IntValue};
use nac3parser::ast::StrRef;
use crate::{
codegen::{
classes::ListValue,
classes::{ListValue, NDArrayValue},
CodeGenContext,
CodeGenerator,
irrt::{
@ -27,11 +27,10 @@ fn create_ndarray_const_shape<'ctx, 'a>(
ctx: &mut CodeGenContext<'ctx, 'a>,
elem_ty: Type,
shape: ArrayValue<'ctx>
) -> Result<PointerValue<'ctx>, String> {
) -> Result<NDArrayValue<'ctx>, String> {
let ndarray_ty_enum = TypeEnum::ndarray(&mut ctx.unifier, Some(elem_ty), None, &ctx.primitives);
let ndarray_ty = ctx.unifier.add_ty(ndarray_ty_enum);
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pndarray_t = ctx.get_llvm_type(generator, ndarray_ty).into_pointer_type();
@ -68,54 +67,18 @@ fn create_ndarray_const_shape<'ctx, 'a>(
llvm_ndarray_t.into(),
None,
)?;
let ndarray = NDArrayValue::from_ptr_val(ndarray, llvm_usize, None);
let num_dims = llvm_usize.const_int(shape.get_type().len() as u64, false);
ndarray.store_ndims(ctx, generator, num_dims);
let ndarray_num_dims = unsafe {
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
"",
)
};
ctx.builder.build_store(ndarray_num_dims, num_dims);
let ndarray_dims = unsafe {
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
"",
)
};
let ndarray_num_dims = ctx.build_gep_and_load(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
None,
).into_int_value();
ctx.builder.build_store(
ndarray_dims,
ctx.builder.build_array_alloca(
llvm_usize,
ndarray_num_dims,
"",
),
);
let ndarray_num_dims = ndarray.load_ndims(ctx);
ndarray.create_dims(ctx, llvm_usize, ndarray_num_dims);
for i in 0..shape.get_type().len() {
let ndarray_dim = ctx.build_gep_and_load(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
None,
).into_pointer_value();
let ndarray_dim = unsafe {
ctx.builder.build_in_bounds_gep(
ndarray_dim,
&[llvm_i32.const_int(i as u64, true)],
"",
)
};
let ndarray_dim = ndarray
.get_dims()
.ptr_offset(ctx, generator, llvm_usize.const_int(i as u64, true), None);
let shape_dim = ctx.builder.build_extract_value(shape, i, "")
.map(|val| val.into_int_value())
.unwrap();
@ -123,42 +86,14 @@ fn create_ndarray_const_shape<'ctx, 'a>(
ctx.builder.build_store(ndarray_dim, shape_dim);
}
let (ndarray_num_dims, ndarray_dims) = unsafe {
(
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
""
),
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
""
),
)
};
let ndarray_dims = ndarray.get_dims().get_ptr(ctx);
let ndarray_num_elems = call_ndarray_calc_size(
generator,
ctx,
ctx.builder.build_load(ndarray_num_dims, "").into_int_value(),
ctx.builder.build_load(ndarray_dims, "").into_pointer_value(),
);
let ndarray_data = unsafe {
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(2, true)],
"",
)
};
ctx.builder.build_store(
ndarray_data,
ctx.builder.build_array_alloca(
llvm_ndarray_data_t,
ndarray_num_elems,
""
),
ndarray.load_ndims(ctx),
ndarray_dims,
);
ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
Ok(ndarray)
}
@ -214,7 +149,7 @@ fn call_ndarray_empty_impl<'ctx, 'a>(
ctx: &mut CodeGenContext<'ctx, 'a>,
elem_ty: Type,
shape: ListValue<'ctx>,
) -> Result<PointerValue<'ctx>, String> {
) -> Result<NDArrayValue<'ctx>, String> {
let ndarray_ty_enum = TypeEnum::ndarray(&mut ctx.unifier, Some(elem_ty), None, &ctx.primitives);
let ndarray_ty = ctx.unifier.add_ty(ndarray_ty_enum);
@ -284,79 +219,23 @@ fn call_ndarray_empty_impl<'ctx, 'a>(
llvm_ndarray_t.into(),
None,
)?;
let ndarray = NDArrayValue::from_ptr_val(ndarray, llvm_usize, None);
let num_dims = shape.load_size(ctx, None);
ndarray.store_ndims(ctx, generator, num_dims);
let ndarray_num_dims = unsafe {
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
"",
)
};
ctx.builder.build_store(ndarray_num_dims, num_dims);
let ndarray_dims = unsafe {
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
"",
)
};
let ndarray_num_dims = ctx.build_gep_and_load(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
None,
).into_int_value();
ctx.builder.build_store(
ndarray_dims,
ctx.builder.build_array_alloca(
llvm_usize,
ndarray_num_dims,
"",
),
);
let ndarray_num_dims = ndarray.load_ndims(ctx);
ndarray.create_dims(ctx, llvm_usize, ndarray_num_dims);
call_ndarray_init_dims(generator, ctx, ndarray, shape);
let (ndarray_num_dims, ndarray_dims) = unsafe {
(
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
""
),
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
""
),
)
};
let ndarray_num_elems = call_ndarray_calc_size(
generator,
ctx,
ctx.builder.build_load(ndarray_num_dims, "").into_int_value(),
ctx.builder.build_load(ndarray_dims, "").into_pointer_value(),
);
let ndarray_data = unsafe {
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(2, true)],
"",
)
};
ctx.builder.build_store(
ndarray_data,
ctx.builder.build_array_alloca(
llvm_ndarray_data_t,
ndarray_num_elems,
"",
),
ndarray.load_ndims(ctx),
ndarray.get_dims().get_ptr(ctx),
);
ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
Ok(ndarray)
}
@ -369,35 +248,19 @@ fn call_ndarray_empty_impl<'ctx, 'a>(
fn ndarray_fill_flattened<'ctx, 'a, ValueFn>(
generator: &mut dyn CodeGenerator,
ctx: &mut CodeGenContext<'ctx, 'a>,
ndarray: PointerValue<'ctx>,
ndarray: NDArrayValue<'ctx>,
value_fn: ValueFn,
) -> Result<(), String>
where
ValueFn: Fn(&mut dyn CodeGenerator, &mut CodeGenContext<'ctx, 'a>, IntValue<'ctx>) -> Result<BasicValueEnum<'ctx>, String>,
{
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let (num_dims, dims) = unsafe {
(
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
""
),
ctx.builder.build_in_bounds_gep(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
""
),
)
};
let ndarray_num_elems = call_ndarray_calc_size(
generator,
ctx,
ctx.builder.build_load(num_dims, "").into_int_value(),
ctx.builder.build_load(dims, "").into_pointer_value(),
ndarray.load_ndims(ctx),
ndarray.get_dims().get_ptr(ctx),
);
gen_for_callback(
@ -417,21 +280,11 @@ fn ndarray_fill_flattened<'ctx, 'a, ValueFn>(
Ok(ctx.builder.build_int_compare(IntPredicate::ULT, i, ndarray_num_elems, ""))
},
|generator, ctx, i_addr| {
let ndarray_data = ctx.build_gep_and_load(
ndarray,
&[llvm_i32.const_zero(), llvm_i32.const_int(2, true)],
None
).into_pointer_value();
let i = ctx.builder
.build_load(i_addr, "")
.into_int_value();
let elem = unsafe {
ctx.builder.build_in_bounds_gep(
ndarray_data,
&[i],
""
)
ndarray.get_data().ptr_to_data_flattened_unchecked(ctx, i, None)
};
let value = value_fn(generator, ctx, i)?;
@ -459,7 +312,7 @@ fn ndarray_fill_flattened<'ctx, 'a, ValueFn>(
fn ndarray_fill_indexed<'ctx, 'a, ValueFn>(
generator: &mut dyn CodeGenerator,
ctx: &mut CodeGenContext<'ctx, 'a>,
ndarray: PointerValue<'ctx>,
ndarray: NDArrayValue<'ctx>,
value_fn: ValueFn,
) -> Result<(), String>
where
@ -491,7 +344,7 @@ fn call_ndarray_zeros_impl<'ctx, 'a>(
ctx: &mut CodeGenContext<'ctx, 'a>,
elem_ty: Type,
shape: ListValue<'ctx>,
) -> Result<PointerValue<'ctx>, String> {
) -> Result<NDArrayValue<'ctx>, String> {
let supported_types = [
ctx.primitives.int32,
ctx.primitives.int64,
@ -527,7 +380,7 @@ fn call_ndarray_ones_impl<'ctx, 'a>(
ctx: &mut CodeGenContext<'ctx, 'a>,
elem_ty: Type,
shape: ListValue<'ctx>,
) -> Result<PointerValue<'ctx>, String> {
) -> Result<NDArrayValue<'ctx>, String> {
let supported_types = [
ctx.primitives.int32,
ctx.primitives.int64,
@ -564,7 +417,7 @@ fn call_ndarray_full_impl<'ctx, 'a>(
elem_ty: Type,
shape: ListValue<'ctx>,
fill_value: BasicValueEnum<'ctx>,
) -> Result<PointerValue<'ctx>, String> {
) -> Result<NDArrayValue<'ctx>, String> {
let ndarray = call_ndarray_empty_impl(generator, ctx, elem_ty, shape)?;
ndarray_fill_flattened(
generator,
@ -633,7 +486,7 @@ fn call_ndarray_eye_impl<'ctx, 'a>(
nrows: IntValue<'ctx>,
ncols: IntValue<'ctx>,
offset: IntValue<'ctx>,
) -> Result<PointerValue<'ctx>, String> {
) -> Result<NDArrayValue<'ctx>, String> {
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_usize_2 = llvm_usize.array_type(2);
@ -718,7 +571,7 @@ pub fn gen_ndarray_empty<'ctx, 'a>(
context,
context.primitives.float,
ListValue::from_ptr_val(shape_arg.into_pointer_value(), llvm_usize, None),
)
).map(NDArrayValue::into)
}
/// Generates LLVM IR for `ndarray.zeros`.
@ -742,7 +595,7 @@ pub fn gen_ndarray_zeros<'ctx, 'a>(
context,
context.primitives.float,
ListValue::from_ptr_val(shape_arg.into_pointer_value(), llvm_usize, None),
)
).map(NDArrayValue::into)
}
/// Generates LLVM IR for `ndarray.ones`.
@ -766,7 +619,7 @@ pub fn gen_ndarray_ones<'ctx, 'a>(
context,
context.primitives.float,
ListValue::from_ptr_val(shape_arg.into_pointer_value(), llvm_usize, None),
)
).map(NDArrayValue::into)
}
/// Generates LLVM IR for `ndarray.full`.
@ -794,7 +647,7 @@ pub fn gen_ndarray_full<'ctx, 'a>(
fill_value_ty,
ListValue::from_ptr_val(shape_arg.into_pointer_value(), llvm_usize, None),
fill_value_arg,
)
).map(NDArrayValue::into)
}
/// Generates LLVM IR for `ndarray.eye`.
@ -839,7 +692,7 @@ pub fn gen_ndarray_eye<'ctx, 'a>(
nrows_arg.into_int_value(),
ncols_arg.into_int_value(),
offset_arg.into_int_value(),
)
).map(NDArrayValue::into)
}
/// Generates LLVM IR for `ndarray.identity`.
@ -866,5 +719,5 @@ pub fn gen_ndarray_identity<'ctx, 'a>(
n_arg.into_int_value(),
n_arg.into_int_value(),
llvm_usize.const_zero(),
)
).map(NDArrayValue::into)
}