Remove the hack around SmallVector in cpu compile (#2494)

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Cheng 2025-08-16 08:17:24 +09:00 committed by GitHub
parent 4abb218d21
commit 888b13ed63
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2 changed files with 17 additions and 25 deletions

View File

@ -157,10 +157,12 @@ inline void build_kernel(
#endif
// Start the kernel
os << "void " << kernel_name << "(void** args) {" << std::endl;
os << "void " << kernel_name
<< "(int* shape, int64_t** strides, void** args) {" << std::endl;
// Add the input arguments
int cnt = 0;
int strides_index = 1;
for (size_t i = 0; i < inputs.size(); ++i) {
// Skip constants from the input list
if (is_constant(i)) {
@ -175,8 +177,8 @@ inline void build_kernel(
<< "];" << std::endl;
// Scalars and contiguous need no strides
if (!is_scalar(x) && !contiguous) {
os << " const size_t* " << xname << "_strides = (size_t*)args[" << cnt++
<< "];" << std::endl;
os << " const int64_t* " << xname << "_strides = strides["
<< strides_index++ << "];" << std::endl;
}
}
@ -186,10 +188,8 @@ inline void build_kernel(
os << " " << tstr << "* " << namer.get_name(x) << " = (" << tstr
<< "*)args[" << cnt++ << "];" << std::endl;
}
// Add output strides and shape to extract the indices.
if (!contiguous) {
os << " const int* shape = (int*)args[" << cnt++ << "];" << std::endl;
} else {
// Add output size
if (contiguous) {
os << " const size_t size = (size_t)args[" << cnt++ << "];" << std::endl;
}
@ -288,17 +288,8 @@ void Compiled::eval_cpu(
auto [contiguous, shape, strides] =
compiled_collapse_contiguous_dims(inputs, outputs[0], is_constant_);
// Force allocating shape/strides on heap so we can take their data() first
// and then std::move them.
// TODO: Refactor code to avoid heap allocation.
shape.grow();
for (auto& s : strides) {
s.grow();
}
// Collect function input arguments.
std::vector<void*> args;
int strides_index = 1;
for (size_t i = 0; i < inputs.size(); ++i) {
if (is_constant_(i)) {
continue;
@ -306,9 +297,6 @@ void Compiled::eval_cpu(
const auto& x = inputs[i];
encoder.set_input_array(x);
args.push_back((void*)x.data<void>());
if (!contiguous && !is_scalar(x)) {
args.push_back(strides[strides_index++].data());
}
}
// Get the kernel name from the lib
@ -343,16 +331,20 @@ void Compiled::eval_cpu(
args.push_back(x.data<void>());
encoder.set_output_array(x);
}
if (!contiguous) {
args.push_back((void*)shape.data());
} else {
if (contiguous) {
args.push_back((void*)outputs[0].data_size());
}
auto fun = (void (*)(void**))fn_ptr;
auto fun = reinterpret_cast<void (*)(int*, int64_t**, void**)>(fn_ptr);
encoder.dispatch([fun,
args = std::move(args),
strides = std::move(strides),
shape = std::move(shape)]() mutable { fun(args.data()); });
shape = std::move(shape)]() mutable {
SmallVector<int64_t*> strides_ptrs;
for (auto& s : strides) {
strides_ptrs.push_back(s.data());
}
fun(shape.data(), strides_ptrs.data(), args.data());
});
}
} // namespace mlx::core

View File

@ -440,6 +440,7 @@ class SmallVector {
end_ = begin_;
}
private:
// Grows the backing store by a factor of two, and at least to {min_capacity}.
// TODO: Move to private after removing external code using this method.
MLX_NOINLINE void grow(size_t min_capacity = 0) {
@ -469,7 +470,6 @@ class SmallVector {
end_of_storage_ = new_storage + new_capacity;
}
private:
MLX_NOINLINE void free_storage() {
std::destroy_n(begin_, end_ - begin_);
if (is_big()) {