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[CUDA] Reduce use of managed memory (#2725)
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Browse Source 
* Use async cuda malloc managed with cuda 13

* add pool threshold

* refactor for regular cuda malloc

* load eval gpu for cuda

* remove use of cuda pool, use cuda free async

* fix

* fix

* fix

* fix

* fix + comment
This commit is contained in:
Awni Hannun
2025-11-05 16:05:23 -08:00
committed by GitHub
parent 27778156dc
commit df58b4133a
79 changed files with 795 additions and 515 deletions
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6
mlx/backend/cpu/primitives.cpp
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@@ -333,7 +333,7 @@ void Reshape::eval_cpu(const std::vector<array>& inputs, array& out) {
void DynamicSlice::eval_cpu(const std::vector<array>& inputs, array& out) {
if (out.size() == 0) {
out.set_data(nullptr);
out.set_data(allocator::malloc(0));
return;
}
auto& in = inputs[0];
@@ -361,7 +361,7 @@ void DynamicSliceUpdate::eval_cpu(
const std::vector<array>& inputs,
array& out) {
if (out.size() == 0) {
out.set_data(nullptr);
out.set_data(allocator::malloc(0));
return;
}
@@ -396,7 +396,7 @@ void DynamicSliceUpdate::eval_cpu(
void SliceUpdate::eval_cpu(const std::vector<array>& inputs, array& out) {
assert(inputs.size() == 2);
if (out.size() == 0) {
out.set_data(nullptr);
out.set_data(allocator::malloc(0));
return;
}