mlx/mlx/compile.cpp
2025-01-20 21:07:10 -08:00

946 lines
29 KiB
C++

// Copyright © 2023-2024 Apple Inc.
#include <cstdlib>
#include <map>
#include <unordered_map>
#include <unordered_set>
#include "mlx/allocator.h"
#include "mlx/compile.h"
#include "mlx/compile_impl.h"
#include "mlx/fast_primitives.h"
#include "mlx/primitives.h"
#include "mlx/transforms.h"
#include "mlx/transforms_impl.h"
namespace mlx::core {
constexpr int max_compile_depth = 11;
bool is_unary(const Primitive& p) {
return (
typeid(p) == typeid(Abs) || typeid(p) == typeid(ArcCos) ||
typeid(p) == typeid(ArcCosh) || typeid(p) == typeid(ArcSin) ||
typeid(p) == typeid(ArcSinh) || typeid(p) == typeid(ArcTan) ||
typeid(p) == typeid(ArcTanh) || typeid(p) == typeid(AsType) ||
typeid(p) == typeid(Ceil) || typeid(p) == typeid(Cos) ||
typeid(p) == typeid(Conjugate) || typeid(p) == typeid(Cosh) ||
typeid(p) == typeid(Remainder) || typeid(p) == typeid(Erf) ||
typeid(p) == typeid(ErfInv) || typeid(p) == typeid(Exp) ||
typeid(p) == typeid(Floor) || typeid(p) == typeid(Log) ||
typeid(p) == typeid(Log1p) || typeid(p) == typeid(LogicalNot) ||
typeid(p) == typeid(Negative) || typeid(p) == typeid(Round) ||
typeid(p) == typeid(Sigmoid) || typeid(p) == typeid(Sign) ||
typeid(p) == typeid(Sin) || typeid(p) == typeid(Sinh) ||
typeid(p) == typeid(Square) || typeid(p) == typeid(Sqrt) ||
typeid(p) == typeid(Tan) || typeid(p) == typeid(Tanh) ||
typeid(p) == typeid(Expm1) || typeid(p) == typeid(Real) ||
typeid(p) == typeid(Imag));
}
bool is_binary(const Primitive& p) {
return (
typeid(p) == typeid(Add) || typeid(p) == typeid(Divide) ||
typeid(p) == typeid(Equal) || typeid(p) == typeid(Greater) ||
typeid(p) == typeid(GreaterEqual) || typeid(p) == typeid(Less) ||
typeid(p) == typeid(LessEqual) || typeid(p) == typeid(LogicalNot) ||
typeid(p) == typeid(LogicalAnd) || typeid(p) == typeid(LogicalOr) ||
typeid(p) == typeid(LogAddExp) || typeid(p) == typeid(Maximum) ||
typeid(p) == typeid(Minimum) || typeid(p) == typeid(Multiply) ||
typeid(p) == typeid(NotEqual) || typeid(p) == typeid(Power) ||
typeid(p) == typeid(Subtract) || typeid(p) == typeid(BitwiseBinary) ||
typeid(p) == typeid(ArcTan2));
}
bool is_ternary(const Primitive& p) {
return typeid(p) == typeid(Select);
}
bool is_broadcast(const Primitive& p) {
return typeid(p) == typeid(Broadcast);
}
bool is_noop(const Primitive& p) {
return typeid(p) == typeid(Copy) || typeid(p) == typeid(StopGradient);
}
bool is_reduction(const Primitive& p) {
return typeid(p) == typeid(Reduce) || typeid(p) == typeid(ArgReduce);
}
bool is_fusable(const Primitive& p) {
return is_unary(p) || is_binary(p) || is_ternary(p) || is_broadcast(p);
}
Compiled::Compiled(
Stream stream,
std::vector<array> inputs,
std::vector<array> outputs,
std::vector<array> tape,
std::unordered_set<uintptr_t> constant_ids)
: Primitive(stream),
inputs_(std::move(inputs)),
outputs_(std::move(outputs)),
tape_(std::move(tape)),
constant_ids_(std::move(constant_ids)) {}
std::vector<array> Compiled::vjp(
const std::vector<array>&,
const std::vector<array>&,
const std::vector<int>&,
const std::vector<array>&) {
throw std::runtime_error("[Compiled] Cannot vjp primitive.");
}
std::vector<array> Compiled::jvp(
const std::vector<array>&,
const std::vector<array>&,
const std::vector<int>&) {
throw std::runtime_error("[Compiled] Cannot jvp primitive.");
}
std::pair<std::vector<array>, std::vector<int>> Compiled::vmap(
const std::vector<array>&,
const std::vector<int>&) {
throw std::runtime_error("[Compiled] Cannot vmap primitive.");
}
bool Compiled::is_equivalent(const Primitive& other) const {
const Compiled& a_other = static_cast<const Compiled&>(other);
return std::equal(
tape_.begin(),
tape_.end(),
a_other.tape_.begin(),
a_other.tape_.end(),
[](const array& a1, const array& a2) {
auto& p1 = a1.primitive();
auto& p2 = a2.primitive();
return typeid(p1) == typeid(p2) && p1.is_equivalent(p2);
});
}
void Compiled::print(std::ostream& os) {
os << "Compiled";
for (auto& a : tape_) {
a.primitive().print(os);
}
}
std::vector<Shape> Compiled::output_shapes(const std::vector<array>& inputs) {
size_t nd = 0;
for (auto& in : inputs) {
nd = std::max(nd, in.ndim());
}
Shape out_shape(nd, 0);
for (auto& in : inputs) {
auto dd = nd - in.ndim();
for (auto i = dd; i < nd; ++i) {
out_shape[i] = std::max(out_shape[i], in.shape()[i - dd]);
}
}
// All outputs have the same shape
return std::vector<Shape>(outputs_.size(), out_shape);
}
namespace detail {
CompileMode& compile_mode() {
auto get_val = []() {
if (const char* buff_str = std::getenv("MLX_DISABLE_COMPILE")) {
return CompileMode::disabled;
} else {
return CompileMode::enabled;
}
};
static CompileMode compile_mode_ = get_val();
return compile_mode_;
}
// Helper like below but only merges the two provided arrays. If the src has
// siblings then these won't be merged to the dst.
void merge_one(array& dst, array& src, ParentsMap& parents_map) {
auto src_parents = parents_map.find(src.id());
if (src_parents == parents_map.end()) {
return;
}
auto& pairs = parents_map[dst.id()];
for (auto& parent : src_parents->second) {
parent.first.inputs()[parent.second] = dst;
pairs.push_back(parent);
}
// Remove the source from the map to avoid fusing with it again
parents_map.erase(src_parents);
}
// Helper that merges two arrays in the graph by setting the parents of the
// source to point to the destination. The arrays are assumed to be coming from
// equivalent primitives so their siblings are merged as well.
void merge(array& dst, array& src, ParentsMap& parents_map) {
// Canonicalize the order of the primitives outputs
auto sources = src.outputs();
auto dests = dst.outputs();
// For each src parent, point it to the corresponding dst
for (int i = 0; i < sources.size(); ++i) {
merge_one(dests[i], sources[i], parents_map);
}
}
template <typename T, typename... U>
std::uintptr_t get_function_address(const std::function<T(U...)>& fun) {
using FunType = T (*)(U...);
const FunType* fun_ptr = fun.template target<FunType>();
if (fun_ptr == nullptr) {
return 0;
}
return reinterpret_cast<std::uintptr_t>(*fun_ptr);
}
class CompilerCache {
public:
struct CacheEntry {
CacheEntry(Stream stream, bool shapeless)
: stream(stream), shapeless(shapeless) {};
Stream stream;
bool shapeless;
std::vector<array> inputs;
std::vector<array> outputs;
std::vector<array> tape;
bool empty{true};
std::vector<uint64_t> constants;
};
// Returns a reference to a CacheEntry which can be updated
// by the caller to avoid copying large tapes / inputs / outputs
CacheEntry& find(
std::uintptr_t fun_id,
const std::vector<array>& inputs,
bool shapeless,
const std::vector<uint64_t>& constants) {
// Find the cache entries for |fun_id|.
std::vector<CacheEntry>& entries = cache_[fun_id];
// Compare if 2 arrays have same shape and dtype.
auto has_same_shape_and_dtype = [shapeless](
const std::vector<array>& in1,
const std::vector<array>& in2) {
if (in1.size() != in2.size()) {
return false;
}
for (size_t i = 0; i < in1.size(); ++i) {
if (in1[i].ndim() != in2[i].ndim()) {
return false;
}
if (!shapeless && in1[i].shape() != in2[i].shape()) {
return false;
}
if (in1[i].dtype() != in2[i].dtype()) {
return false;
}
}
return true;
};
// Loop over entries and check:
// - Default stream and device match the entry's default stream
// - Inputs match i.e. shapes and types must be equal.
auto stream = default_stream(default_device());
for (CacheEntry& entry : entries) {
// Check that the default stream and device match
if (entry.stream != stream) {
continue;
}
if (entry.shapeless != shapeless) {
continue;
}
// Check the inputs match and return if so
if (has_same_shape_and_dtype(inputs, entry.inputs) &&
constants == entry.constants) {
return entry;
}
}
// Otherwise append a new cache entry
entries.push_back(CacheEntry{stream, shapeless});
return entries.back();
}
void erase(std::uintptr_t fun_id) {
cache_.erase(fun_id);
}
void clear() {
cache_.clear();
}
private:
CompilerCache() {
// Make sure the allocator is fully
// initialized before the compiler cache
allocator::allocator();
}
friend CompilerCache& compiler_cache();
std::unordered_map<std::uintptr_t, std::vector<CacheEntry>> cache_;
};
CompilerCache& compiler_cache() {
static CompilerCache compiler_cache_;
return compiler_cache_;
}
std::pair<std::vector<array>, std::vector<array>> compile_trace(
const std::function<std::vector<array>(const std::vector<array>&)>& fun,
const std::vector<array>& inputs,
bool shapeless) {
// Set the global tracing flag.
detail::InTracing in_tracing{shapeless};
// Run the function on placeholder inputs
// to get compute graph
std::vector<array> tracer_inputs;
for (int i = 0; i < inputs.size(); ++i) {
array in(inputs[i].shape(), inputs[i].dtype(), nullptr, {});
in.set_tracer(true);
tracer_inputs.push_back(std::move(in));
}
return {tracer_inputs, fun(tracer_inputs)};
}
// Traverses the graph to build a tape and a map of array ids to their parents
std::pair<std::vector<array>, ParentsMap> compile_dfs(
const std::vector<array>& inputs,
const std::vector<array>& outputs,
const std::vector<array>& original_inputs) {
std::function<void(const array&)> recurse;
std::vector<array> tape;
std::unordered_set<std::uintptr_t> input_set;
std::unordered_set<std::uintptr_t> original_input_set;
std::unordered_map<std::uintptr_t, std::vector<std::pair<array, int>>>
parents_map;
for (int i = 0; i < inputs.size(); ++i) {
input_set.insert(inputs[i].id());
original_input_set.insert(original_inputs[i].id());
}
// DFS the graph to build the tape, and log parents and scalars
std::unordered_set<std::uintptr_t> cache;
recurse = [&](const array& a) {
auto id = a.id();
if (original_input_set.find(id) != original_input_set.end()) {
throw std::invalid_argument(
"[compile] Attempting to compile a function with uncaptured inputs is not allowed.");
}
if (cache.find(id) != cache.end()) {
return;
}
for (int i = 0; i < a.inputs().size(); i++) {
auto& in = a.inputs()[i];
parents_map[in.id()].push_back({a, i});
for (auto& s : a.siblings()) {
parents_map[in.id()].push_back({s, i});
}
// Don't recurse on inputs (but add them to the tape for the purpose
// of future optimizations)
if (input_set.find(a.id()) == input_set.end()) {
recurse(in);
}
}
cache.insert(id);
for (auto& s : a.siblings()) {
cache.insert(s.id());
}
tape.push_back(a);
};
for (auto& a : outputs) {
recurse(a);
}
return {tape, parents_map};
}
// Simplify the tape. Note, this function modifies in-place both the tape,
// the parents map to remove orphaned arrays, and potentially the outputs
void compile_simplify(
std::vector<array>& tape,
ParentsMap& parents_map,
std::vector<array>& outputs,
int passes) {
// Helpers to identify identical scalars
std::map<std::pair<uint64_t, Dtype::Val>, array> scalars;
auto is_scalar = [](const array& a) {
// Condition for when it's safe to read an array
return a.is_available() && a.ndim() == 0;
};
auto get_scalar_rep = [](const array& a) {
uint64_t v = 0;
int dtype;
switch (a.dtype().size()) {
case 1:
v = *a.data<uint8_t>();
break;
case 2:
v = *a.data<uint16_t>();
break;
case 4:
v = *a.data<uint32_t>();
break;
case 8:
v = *a.data<uint64_t>();
break;
}
return std::make_pair(v, a.dtype().val());
};
for (auto& a : tape) {
if (is_scalar(a)) {
scalars.insert({get_scalar_rep(a), a});
}
}
// Depth-1 array equivalence check.
auto array_equivalent = [](const array& a, const array& b) {
if (!a.has_primitive() || !b.has_primitive()) {
return false;
}
if (a.primitive_id() == b.primitive_id()) {
return false;
}
const auto& pa = a.primitive();
const auto& pb = b.primitive();
if (typeid(pa) != typeid(pb)) {
return false;
}
if (a.inputs().size() != b.inputs().size()) {
return false;
}
for (int i = 0; i < a.inputs().size(); i++) {
if (a.inputs()[i].id() != b.inputs()[i].id()) {
return false;
}
}
return pa.is_equivalent(pb);
};
// Merge scalars
std::vector<array> new_tape;
for (auto& arr : tape) {
// Check if we can merge scalars
if (is_scalar(arr)) {
auto scalar = scalars.find(get_scalar_rep(arr));
if (scalar->second.id() != arr.id()) {
merge(scalar->second, arr, parents_map);
// Don't keep orphaned scalars in the tape
continue;
}
}
new_tape.push_back(std::move(arr));
}
tape = std::move(new_tape);
// Remove no-ops
{
std::unordered_map<uintptr_t, array> output_map;
for (auto& o : outputs) {
output_map.insert({o.id(), o});
}
for (auto& arr : tape) {
if (!arr.has_primitive() || !is_noop(arr.primitive())) {
new_tape.push_back(std::move(arr));
continue;
}
merge_one(arr.inputs()[0], arr, parents_map);
if (auto it = output_map.find(arr.id()); it != output_map.end()) {
it->second = arr.inputs()[0];
}
}
tape = std::move(new_tape);
for (auto& o : outputs) {
o = output_map.at(o.id());
}
}
std::unordered_map<std::uintptr_t, uint32_t> tape_order;
for (uint32_t i = 0; i < tape.size(); ++i) {
tape_order.insert({tape[i].id(), i});
}
std::unordered_set<uintptr_t> output_set;
for (auto& o : outputs) {
output_set.insert(o.id());
}
// Multi-pass merge only keeping non-orphaned arrays in the tape
for (int pass = 0; pass < passes; ++pass) {
for (auto& arr : tape) {
// Helper to check if we can merge the parents of the
// given array
auto maybe_merge_parents = [&](auto& a) {
auto parents = parents_map.find(a.id());
if (parents != parents_map.end()) {
auto N = parents->second.size();
std::vector<bool> mask(N, false);
for (int i = 0; i < N; i++) {
if (mask[i]) {
continue;
}
for (int j = i + 1; j < N; j++) {
if (mask[j]) {
continue;
}
auto src_idx = j;
auto dst_idx = i;
if (tape_order[parents->second[src_idx].first.id()] <
tape_order[parents->second[dst_idx].first.id()]) {
std::swap(src_idx, dst_idx);
}
auto& src = parents->second[src_idx].first;
auto& dst = parents->second[dst_idx].first;
if (src.id() != dst.id() && array_equivalent(src, dst) &&
output_set.find(src.id()) == output_set.end()) {
merge(dst, src, parents_map);
mask[src_idx] = true;
}
}
}
// Erase orphaned parents so we don't keep fusing with them
for (int i = N - 1; i >= 0; --i) {
if (mask[i]) {
parents->second.erase(parents->second.begin() + i);
}
}
return false;
} else {
return output_set.find(a.id()) == output_set.end();
}
};
bool discard = maybe_merge_parents(arr);
for (auto& s : arr.siblings()) {
discard &= maybe_merge_parents(s);
}
// If an array and its siblings have no parents, and none of them are
// outputs, it is safe to remove it from the tape
if (!discard) {
new_tape.push_back(std::move(arr));
}
}
tape = std::move(new_tape);
}
}
// Extract sub-graphs of the graph that can be compiled
// and replace them with a Compiled Primitive.
void compile_fuse(
std::vector<array>& tape,
ParentsMap& parents_map,
const std::vector<array>& inputs,
std::vector<array>& outputs) {
// Track outputs to replace with new compiled outputs
std::unordered_map<uintptr_t, array> output_map;
for (auto& o : outputs) {
output_map.insert({o.id(), o});
}
// Set of inputs to distinguish constants
std::unordered_set<uintptr_t> input_ids;
for (auto& in : inputs) {
input_ids.insert(in.id());
}
// Go through the tape in reverse order and check for fusable sub-graphs
std::vector<array> new_tape;
std::unordered_set<uintptr_t> global_cache;
for (int i = tape.size() - 1; i >= 0; --i) {
auto& arr = tape[i];
// Already compiled
if (global_cache.find(arr.id()) != global_cache.end()) {
continue;
}
// Two pass recursion:
// First pass:
// - Collect all the primitives which we can fuse with
// - Keeps a cache of fusable primitives which may be added out of
// DAG order. We have to determine if all of a fused primitive's
// outputs are also in the fused section, and this may not be the
// case the first time we visit it.
// Second pass:
// - Collect inputs to the new compiled primitive
// - Add fusable primitives to a tape in the correct order
std::function<void(const array&, int, const Stream&, const Shape&)> recurse;
std::unordered_set<uintptr_t> cache;
recurse = [&](const array& a,
int depth,
const Stream& s,
const Shape& shape) {
if (cache.find(a.id()) != cache.end()) {
return;
}
// Stop fusing if:
// - Depth limit exceeded
// - Constant input
// - Stream mismatch
// - Non fusable primitive
// - Is global output but has a different shape
if (depth >= max_compile_depth || !a.has_primitive() ||
a.primitive().stream() != s || !is_fusable(a.primitive()) ||
(output_map.find(a.id()) != output_map.end() && a.shape() != shape)) {
return;
}
bool all_parents_in = true;
if (depth > 0) {
// Guaranteed to have a parent since nested in the
// recursion.
auto& parents = parents_map.at(a.id());
for (auto& [p, idx] : parents) {
auto in_cache = cache.find(p.id()) != cache.end();
if (!in_cache) {
all_parents_in = false;
break;
}
}
}
// Arrays with a mix of parents outside the compilable section
// are not fusable
if (!all_parents_in) {
return;
}
cache.insert({a.id()});
for (auto& in : a.inputs()) {
recurse(in, depth + 1, s, shape);
}
};
if (arr.has_primitive()) {
Stream s = arr.primitive().stream();
recurse(arr, 0, s, arr.shape());
}
// Not worth fusing a single primitive
if (cache.size() <= 1) {
new_tape.push_back(arr);
continue;
}
// Recurse a second time to build the tape in the right
// order and collect the inputs
std::unordered_set<uintptr_t> input_set;
std::vector<array> inputs;
std::vector<array> fused_tape;
std::unordered_set<uintptr_t> tape_set;
std::function<void(const array&)> recurse_tape;
recurse_tape = [&](const array& a) {
if (cache.find(a.id()) == cache.end()) {
if (input_set.find(a.id()) == input_set.end()) {
input_set.insert(a.id());
inputs.push_back(a);
}
return;
}
if (tape_set.find(a.id()) != tape_set.end()) {
return;
}
tape_set.insert(a.id());
for (auto& in : a.inputs()) {
recurse_tape(in);
}
fused_tape.push_back(a);
};
recurse_tape(arr);
std::vector<array> old_outputs;
// Add to global cache and add any global outputs to outputs
// of new primitive
for (int j = 0; j < fused_tape.size() - 1; ++j) {
auto& f = fused_tape[j];
if (output_map.find(f.id()) != output_map.end()) {
old_outputs.push_back(f);
// Parents are now siblings, update the parent map
auto& pairs = parents_map[f.id()];
pairs.erase(
std::remove_if(
pairs.begin(),
pairs.end(),
[&](auto& p) {
return cache.find(p.first.id()) != cache.end();
}),
pairs.end());
} else {
// Remove inner fused arrays parents from the parents map
// to keep the parents map in a valid state
parents_map.erase(f.id());
}
global_cache.insert({f.id()});
}
old_outputs.push_back(arr);
std::vector<Shape> shapes;
std::vector<Dtype> types;
for (auto& o : old_outputs) {
if (o.shape() != old_outputs.back().shape()) {
throw std::runtime_error(
"[compile] Compilation failed. Tried to fuse operations with different output shapes");
}
shapes.push_back(o.shape());
types.push_back(o.dtype());
}
std::unordered_set<uintptr_t> constant_ids;
for (auto& in : inputs) {
// Scalar constant
if (in.size() == 1 && !in.has_primitive() &&
input_ids.find(in.id()) == input_ids.end()) {
constant_ids.insert(in.id());
}
}
auto compiled_outputs = array::make_arrays(
std::move(shapes),
types,
std::make_shared<Compiled>(
old_outputs.back().primitive().stream(),
inputs,
old_outputs,
std::move(fused_tape),
std::move(constant_ids)),
inputs);
// One output per primitive
new_tape.push_back(compiled_outputs.back());
// Replace inputs old parents with compiled_outputs
for (int i = 0; i < inputs.size(); ++i) {
auto& pairs = parents_map[inputs[i].id()];
pairs.erase(
std::remove_if(
pairs.begin(),
pairs.end(),
[&](auto& p) { return cache.find(p.first.id()) != cache.end(); }),
pairs.end());
for (auto& o : compiled_outputs) {
pairs.push_back({o, i});
}
}
// - Update outputs parents to point to compiled outputs
// - Update any overall graph outputs to be compiled outputs
for (int o = 0; o < old_outputs.size(); ++o) {
merge_one(compiled_outputs[o], old_outputs[o], parents_map);
if (auto it = output_map.find(old_outputs[o].id());
it != output_map.end()) {
it->second = compiled_outputs[o];
}
}
}
std::reverse(new_tape.begin(), new_tape.end());
tape = std::move(new_tape);
// Replace output with potentially compiled output
for (auto& o : outputs) {
o = output_map.at(o.id());
}
}
std::vector<array> compile_replace(
const std::vector<array>& tape,
const std::vector<array>& trace_inputs,
const std::vector<array>& trace_outputs,
const std::vector<array>& inputs,
bool shapeless) {
std::unordered_map<uintptr_t, array> trace_to_real;
for (int i = 0; i < inputs.size(); ++i) {
trace_to_real.insert({trace_inputs[i].id(), inputs[i]});
}
auto is_load = [](const Primitive& p) { return typeid(p) == typeid(Load); };
for (auto& a : tape) {
// Arrays in the tape without primitives are either:
// - inputs, which are already in the map
// - constants, which can be used directly
// - a load primitive which has no inputs and will become a constant
// after the first eval
if (!a.has_primitive() || is_load(a.primitive())) {
trace_to_real.insert({a.id(), a});
} else {
// Find real inputs
std::vector<array> real_inputs;
for (auto& in : a.inputs()) {
real_inputs.push_back(trace_to_real.at(in.id()));
}
if (a.siblings().empty()) {
auto shape =
shapeless ? a.primitive().output_shapes(real_inputs)[0] : a.shape();
auto real_a = array(
std::move(shape),
a.dtype(),
a.primitive_ptr(),
std::move(real_inputs));
trace_to_real.insert({a.id(), std::move(real_a)});
} else {
// Ensure the order is correct for multi-output primitives
std::vector<Dtype> types;
auto trace_out = a.outputs();
for (auto& o : trace_out) {
types.push_back(o.dtype());
}
std::vector<Shape> shapes;
if (shapeless) {
shapes = a.primitive().output_shapes(real_inputs);
} else {
for (auto& o : trace_out) {
shapes.push_back(o.shape());
}
}
auto real_out = array::make_arrays(
std::move(shapes), types, a.primitive_ptr(), real_inputs);
for (int i = 0; i < trace_out.size(); ++i) {
trace_to_real.insert({trace_out[i].id(), std::move(real_out[i])});
}
}
}
}
std::vector<array> outputs;
for (auto& o : trace_outputs) {
outputs.push_back(trace_to_real.at(o.id()));
}
return outputs;
}
bool skip_compile() {
return compile_mode() == CompileMode::disabled ||
!(compile_available_for_device(default_device()));
}
std::function<std::vector<array>(const std::vector<array>&)> compile(
std::function<std::vector<array>(const std::vector<array>&)> fun,
std::uintptr_t fun_id,
bool shapeless /* = false */,
std::vector<uint64_t> constants /* = {} */) {
if (skip_compile()) {
return fun;
}
if (!fun) {
throw std::invalid_argument(
"[compile] Cannot compile a function without a target.");
}
return [fun = std::move(fun),
fun_id,
shapeless,
constants = std::move(constants)](const std::vector<array>& inputs) {
// If the inputs are tracers, trace the original graph
if (std::any_of(inputs.begin(), inputs.end(), [](auto& in) {
return in.is_tracer();
})) {
return fun(inputs);
}
// Find a cache entry with the correct inputs
auto& entry = compiler_cache().find(fun_id, inputs, shapeless, constants);
// No matching cache entry existed, so compile
if (entry.empty) {
// Mark the entry as not empty since we are about to fill it
entry.empty = false;
// Set the constants
entry.constants = std::move(constants);
// Trace to build the graph
std::tie(entry.inputs, entry.outputs) =
compile_trace(fun, inputs, shapeless);
// DFS the graph and get a tape, and a map of array id to (parent,
// position in parent inputs)
std::unordered_map<uintptr_t, std::vector<std::pair<array, int>>>
parents_map;
std::tie(entry.tape, parents_map) =
compile_dfs(entry.inputs, entry.outputs, inputs);
// Simplify the tape
if (compile_mode() != CompileMode::no_simplify) {
compile_simplify(
entry.tape, parents_map, entry.outputs, /* passes */ 3);
}
// Kernel fusion to generate Compiled primitives. The tape and
// new outputs must be updated accordingly
if (compile_mode() != CompileMode::no_fuse) {
compile_fuse(entry.tape, parents_map, entry.inputs, entry.outputs);
}
}
// At this point we must have a tape, now replace the placeholders
// with real arrays that can be evaluated
return compile_replace(
entry.tape, entry.inputs, entry.outputs, inputs, shapeless);
};
}
void compile_erase(std::uintptr_t fun_id) {
detail::compiler_cache().erase(fun_id);
}
void compile_clear_cache() {
detail::compiler_cache().clear();
}
} // namespace detail
std::function<std::vector<array>(const std::vector<array>&)> compile(
std::function<std::vector<array>(const std::vector<array>&)> fun,
bool shapeless /* false */) {
if (detail::skip_compile()) {
return fun;
}
auto fun_id = detail::get_function_address(fun);
if (fun_id) {
// If the function has an addressable target then no need to manage it's
// lifetime
return detail::compile(std::move(fun), fun_id, shapeless);
} else {
auto pfun = std::shared_ptr<
std::function<std::vector<array>(const std::vector<array>&)>>(
new std::function<std::vector<array>(const std::vector<array>&)>{fun},
[](auto* p) {
detail::compile_erase(reinterpret_cast<std::uintptr_t>(p));
delete p;
});
fun_id = reinterpret_cast<std::uintptr_t>(pfun.get());
return detail::compile(
[pfun = std::move(pfun)](const auto& inputs) {
return (*pfun)(inputs);
},
fun_id,
shapeless);
}
}
std::function<std::vector<array>(const std::vector<array>&)> compile(
std::vector<array>(fun)(const std::vector<array>&),
bool shapeless /* = false */) {
if (detail::skip_compile()) {
return fun;
}
return detail::compile(fun, reinterpret_cast<std::uintptr_t>(fun), shapeless);
}
void disable_compile() {
detail::compile_mode() = CompileMode::disabled;
}
void enable_compile() {
detail::compile_mode() = CompileMode::enabled;
}
void set_compile_mode(CompileMode mode) {
detail::compile_mode() = mode;
}
} // namespace mlx::core