[CUDA] Switch to CUDA graphs (#2317)

* cuda graph prototype

fix signal bug + start to add dependencies

capture more

capture more ops

remaining ops

fix reduce and rope deps

add concurrent context

try update, but not working

cosistent topology order

use node api

use node api directly to reduce overhead

fix bug

use kernels in unary

cache graph

format

fix synchronization

format

* comment
This commit is contained in:
Awni Hannun
2025-07-02 15:59:13 -07:00
committed by GitHub
parent e76e9b87f0
commit ec0d5db67b
36 changed files with 1461 additions and 1212 deletions

View File

@@ -12,16 +12,11 @@ namespace mlx::core {
inline std::tuple<Shape, Strides, Strides> collapse_batches(
const array& a,
const array& b) {
// Get and check the shape for the batched dims
Shape A_bshape{a.shape().begin(), a.shape().end() - 2};
Shape B_bshape{b.shape().begin(), b.shape().end() - 2};
if (A_bshape != B_bshape) {
std::ostringstream msg;
msg << "[matmul] Got matrices with incorrectly broadcasted shapes: " << "A "
<< a.shape() << ", B " << b.shape() << ".";
throw std::runtime_error(msg.str());
if (a.ndim() == 2) {
return {{1}, {0}, {0}};
}
Shape A_bshape{a.shape().begin(), a.shape().end() - 2};
Strides A_bstride{a.strides().begin(), a.strides().end() - 2};
Strides B_bstride{b.strides().begin(), b.strides().end() - 2};
@@ -42,17 +37,11 @@ inline std::tuple<Shape, Strides, Strides> collapse_batches(
inline std::tuple<Shape, Strides, Strides, Strides>
collapse_batches(const array& a, const array& b, const array& c) {
// Get and check the shape for the batched dims
Shape A_bshape{a.shape().begin(), a.shape().end() - 2};
Shape B_bshape{b.shape().begin(), b.shape().end() - 2};
Shape C_bshape{c.shape().begin(), c.shape().end() - 2};
if (A_bshape != B_bshape || A_bshape != C_bshape) {
std::ostringstream msg;
msg << "[addmm] Got matrices with incorrectly broadcasted shapes: " << "A "
<< a.shape() << ", B " << b.shape() << ", B " << c.shape() << ".";
throw std::runtime_error(msg.str());
if (a.ndim() == 2) {
return {{1}, {0}, {0}, {0}};
}
Shape A_bshape{a.shape().begin(), a.shape().end() - 2};
Strides A_bstride{a.strides().begin(), a.strides().end() - 2};
Strides B_bstride{b.strides().begin(), b.strides().end() - 2};
Strides C_bstride{c.strides().begin(), c.strides().end() - 2};