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chore: Re-open #3258 (#3410)
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Co-authored-by: Tom French <15848336+TomAFrench@users.noreply.github.com>
Co-authored-by: Tom French <tom@tomfren.ch>
Co-authored-by: jfecher <jake@aztecprotocol.com>
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4 people authored Nov 3, 2023
1 parent 734a4b9 commit 48cf1a7
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Showing 6 changed files with 862 additions and 55 deletions.
23 changes: 19 additions & 4 deletions compiler/noirc_evaluator/src/ssa.rs
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,10 @@ use std::{
ops::Range,
};

use crate::errors::{RuntimeError, SsaReport};
use crate::{
brillig::Brillig,
errors::{RuntimeError, SsaReport},
};
use acvm::acir::{
circuit::{Circuit, PublicInputs},
native_types::Witness,
Expand Down Expand Up @@ -42,7 +45,8 @@ pub(crate) fn optimize_into_acir(
print_brillig_trace: bool,
) -> Result<GeneratedAcir, RuntimeError> {
let abi_distinctness = program.return_distinctness;
let ssa = SsaBuilder::new(program, print_ssa_passes)?

let ssa_builder = SsaBuilder::new(program, print_ssa_passes)?
.run_pass(Ssa::defunctionalize, "After Defunctionalization:")
.run_pass(Ssa::inline_functions, "After Inlining:")
// Run mem2reg with the CFG separated into blocks
Expand All @@ -59,10 +63,17 @@ pub(crate) fn optimize_into_acir(
// Run mem2reg once more with the flattened CFG to catch any remaining loads/stores
.run_pass(Ssa::mem2reg, "After Mem2Reg:")
.run_pass(Ssa::fold_constants, "After Constant Folding:")
.run_pass(Ssa::dead_instruction_elimination, "After Dead Instruction Elimination:")
.run_pass(Ssa::dead_instruction_elimination, "After Dead Instruction Elimination:");

let brillig = ssa_builder.to_brillig(print_brillig_trace);

// Split off any passes the are not necessary for Brillig generation but are necessary for ACIR generation.
// We only need to fill out nested slices as we need to have a known length when dealing with memory operations
// in ACIR gen while this is not necessary in the Brillig IR.
let ssa = ssa_builder
.run_pass(Ssa::fill_internal_slices, "After Fill Internal Slice Dummy Data:")
.finish();

let brillig = ssa.to_brillig(print_brillig_trace);
let last_array_uses = ssa.find_last_array_uses();
ssa.into_acir(brillig, abi_distinctness, &last_array_uses)
}
Expand Down Expand Up @@ -156,6 +167,10 @@ impl SsaBuilder {
Ok(self.print(msg))
}

fn to_brillig(&self, print_brillig_trace: bool) -> Brillig {
self.ssa.to_brillig(print_brillig_trace)
}

fn print(self, msg: &str) -> Self {
if self.print_ssa_passes {
println!("{msg}\n{}", self.ssa);
Expand Down
85 changes: 62 additions & 23 deletions compiler/noirc_evaluator/src/ssa/acir_gen/mod.rs
Original file line number Diff line number Diff line change
Expand Up @@ -424,7 +424,9 @@ impl Context {
let rhs_var = read_from_index(rhs_block_id, i)?;
Ok((lhs_var, rhs_var))
}),
_ => unreachable!("ICE: lhs and rhs should be of the same type"),
_ => {
unreachable!("ICE: lhs and rhs should be of the same type")
}
}
}

Expand Down Expand Up @@ -502,7 +504,7 @@ impl Context {
self.initialize_array(block_id, len, Some(output.clone()))?;
}
AcirValue::DynamicArray(_) => {
unreachable!("The output from an intrinsic call is expected to be a single value or an array but got {output:?}");
// Do nothing as a dynamic array returned from a slice intrinsic should already be initialized
}
AcirValue::Var(_, _) => {
// Do nothing
Expand Down Expand Up @@ -1018,7 +1020,8 @@ impl Context {
}
}

let element_type_sizes = self.init_element_type_sizes_array(&array_typ, array_id, dfg)?;
let element_type_sizes =
self.init_element_type_sizes_array(&array_typ, array_id, None, dfg)?;
let result_value = AcirValue::DynamicArray(AcirDynamicArray {
block_id: result_block_id,
len: array_len,
Expand Down Expand Up @@ -1105,6 +1108,7 @@ impl Context {
&mut self,
array_typ: &Type,
array_id: ValueId,
array_acir_value: Option<AcirValue>,
dfg: &DataFlowGraph,
) -> Result<BlockId, RuntimeError> {
let element_type_sizes = self.internal_block_id(&array_id);
Expand Down Expand Up @@ -1132,7 +1136,11 @@ impl Context {
Value::Instruction { .. } | Value::Param { .. } => {
// An instruction representing the slice means it has been processed previously during ACIR gen.
// Use the previously defined result of an array operation to fetch the internal type information.
let array_acir_value = self.convert_value(array_id, dfg);
let array_acir_value = if let Some(array_acir_value) = array_acir_value {
array_acir_value
} else {
self.convert_value(array_id, dfg)
};
match array_acir_value {
AcirValue::DynamicArray(AcirDynamicArray {
element_type_sizes: inner_elem_type_sizes,
Expand Down Expand Up @@ -1274,7 +1282,8 @@ impl Context {
var_index: AcirVar,
dfg: &DataFlowGraph,
) -> Result<AcirVar, RuntimeError> {
let element_type_sizes = self.init_element_type_sizes_array(array_typ, array_id, dfg)?;
let element_type_sizes =
self.init_element_type_sizes_array(array_typ, array_id, None, dfg)?;

let predicate_index =
self.acir_context.mul_var(var_index, self.current_side_effects_enabled_var)?;
Expand Down Expand Up @@ -1728,26 +1737,50 @@ impl Context {
}
Intrinsic::SlicePushBack => {
let slice_length = self.convert_value(arguments[0], dfg).into_var()?;
let (array_id, array_typ, _) =
self.check_array_is_initialized(arguments[1], dfg)?;
let slice = self.convert_value(arguments[1], dfg);
// TODO(#2461): make sure that we have handled nested struct inputs
let element = self.convert_value(arguments[2], dfg);

// TODO(#3364): make sure that we have handled nested struct inputs
let element = self.convert_value(arguments[2], dfg);
let one = self.acir_context.add_constant(FieldElement::one());
let new_slice_length = self.acir_context.add_var(slice_length, one)?;

// We attach the element no matter what in case len == capacity, as otherwise we
// may get an out of bounds error.
let mut new_slice = Vector::new();
self.slice_intrinsic_input(&mut new_slice, slice)?;
new_slice.push_back(element);

Ok(vec![
AcirValue::Var(new_slice_length, AcirType::field()),
AcirValue::Array(new_slice),
])
self.slice_intrinsic_input(&mut new_slice, slice.clone())?;
new_slice.push_back(element.clone());

// TODO(#3364): This works for non-nested outputs
let len = Self::flattened_value_size(&slice);
let new_elem_size = Self::flattened_value_size(&element);
let new_slice_val = AcirValue::Array(new_slice);
let result_block_id = self.block_id(&result_ids[1]);
self.initialize_array(
result_block_id,
len + new_elem_size,
Some(new_slice_val.clone()),
)?;
let mut var_index = slice_length;
self.array_set_value(element, result_block_id, &mut var_index)?;

let result = AcirValue::DynamicArray(AcirDynamicArray {
block_id: result_block_id,
len: len + new_elem_size,
element_type_sizes: self.init_element_type_sizes_array(
&array_typ,
array_id,
Some(new_slice_val),
dfg,
)?,
});
Ok(vec![AcirValue::Var(new_slice_length, AcirType::field()), result])
}
Intrinsic::SlicePushFront => {
let slice_length = self.convert_value(arguments[0], dfg).into_var()?;
let slice = self.convert_value(arguments[1], dfg);
// TODO(#2461): make sure that we have handled nested struct inputs
let slice: AcirValue = self.convert_value(arguments[1], dfg);
// TODO(#3364): make sure that we have handled nested struct inputs
let element = self.convert_value(arguments[2], dfg);

let one = self.acir_context.add_constant(FieldElement::one());
Expand All @@ -1769,12 +1802,18 @@ impl Context {
let one = self.acir_context.add_constant(FieldElement::one());
let new_slice_length = self.acir_context.sub_var(slice_length, one)?;

let (_, _, block_id) = self.check_array_is_initialized(arguments[1], dfg)?;
let mut var_index = new_slice_length;
let elem = self.array_get_value(
&dfg.type_of_value(result_ids[2]),
block_id,
&mut var_index,
&[],
)?;

// TODO(#3364): make sure that we have handled nested struct inputs
let mut new_slice = Vector::new();
self.slice_intrinsic_input(&mut new_slice, slice)?;
// TODO(#2461): make sure that we have handled nested struct inputs
let elem = new_slice
.pop_back()
.expect("There are no elements in this slice to be removed");

Ok(vec![
AcirValue::Var(new_slice_length, AcirType::field()),
Expand All @@ -1791,7 +1830,7 @@ impl Context {

let mut new_slice = Vector::new();
self.slice_intrinsic_input(&mut new_slice, slice)?;
// TODO(#2461): make sure that we have handled nested struct inputs
// TODO(#3364): make sure that we have handled nested struct inputs
let elem = new_slice
.pop_front()
.expect("There are no elements in this slice to be removed");
Expand Down Expand Up @@ -1831,7 +1870,7 @@ impl Context {
// they are attempting to insert at too large of an index.
// This check prevents a panic inside of the im::Vector insert method.
if index <= new_slice.len() {
// TODO(#2461): make sure that we have handled nested struct inputs
// TODO(#3364): make sure that we have handled nested struct inputs
new_slice.insert(index, element);
}

Expand Down Expand Up @@ -1869,7 +1908,7 @@ impl Context {
// they are attempting to remove at too large of an index.
// This check prevents a panic inside of the im::Vector remove method.
let removed_elem = if index < new_slice.len() {
// TODO(#2461): make sure that we have handled nested struct inputs
// TODO(#3364): make sure that we have handled nested struct inputs
new_slice.remove(index)
} else {
// This is a dummy value which should never be used if the appropriate
Expand Down
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