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[CUDA] Faster general copy (#2873)

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This commit is contained in:
Awni Hannun
2025-12-04 21:42:15 -08:00
committed by GitHub
parent 997cfc7699
commit aefc9bd3f6
2 changed files with 12 additions and 6 deletions
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16
mlx/backend/cuda/copy/copy_general_input.cu
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@@ -95,11 +95,14 @@ void copy_general_input(
const InType* in_ptr = gpu_ptr<InType>(in) + offset_in;
OutType* out_ptr = gpu_ptr<OutType>(out) + offset_out;
int ndim = shape.size();
int work_per_thread = 1;
int work_per_thread = 8;
auto dim0 = ndim > 0 ? shape.back() : 1;
auto rest = out.size() / dim0;
if (dim0 >= 4) {
if (dim0 >= 4 && dim0 < 8) {
work_per_thread = 4;
} else if (dim0 < 4) {
work_per_thread = 1;
}
dim0 = (dim0 + work_per_thread - 1) / work_per_thread;
auto block_dims = get_block_dims(dim0, rest, 1);
@@ -110,7 +113,10 @@ void copy_general_input(
dispatch_1_2_3(ndim, [&](auto dims_constant) {
auto kernel =
cu::copy_g_nd<InType, OutType, IdxT, dims_constant(), 1>;
if (work_per_thread == 4) {
if (work_per_thread == 8) {
kernel =
cu::copy_g_nd<InType, OutType, IdxT, dims_constant(), 8>;
} else if (work_per_thread == 4) {
kernel =
cu::copy_g_nd<InType, OutType, IdxT, dims_constant(), 4>;
}
@@ -127,7 +133,9 @@ void copy_general_input(
});
} else { // ndim >= 4
auto kernel = cu::copy_g<InType, OutType, IdxT, 1>;
if (work_per_thread == 4) {
if (work_per_thread == 8) {
kernel = cu::copy_g<InType, OutType, IdxT, 8>;
} else if (work_per_thread == 4) {
kernel = cu::copy_g<InType, OutType, IdxT, 4>;
}
encoder.add_kernel_node(

2
mlx/backend/gpu/copy.cpp
View File

@@ -7,8 +7,6 @@
namespace mlx::core {
void copy_gpu(const array& in, array& out, CopyType ctype, const Stream& s);
void copy_gpu(const array& in, array& out, CopyType ctype) {
copy_gpu(in, out, ctype, out.primitive().stream());
}