[CUDA] Fix conv grads with groups (#2495)

* Put reshape utils in one file

* [CUDA] Fix conv grads with groups

* Put the reshape utils in gpu/copy.h
This commit is contained in:
Cheng
2025-08-16 10:09:18 +09:00
committed by GitHub
parent 37b440faa8
commit 1ba18ff7d9
8 changed files with 119 additions and 62 deletions

View File

@@ -228,31 +228,4 @@ std::pair<Dims, Dims> get_grid_and_block_common(int dim0, int dim1, int dim2) {
std::make_tuple(gx, gy, gz), std::make_tuple(bx, by, bz));
}
array swapaxes_in_eval(const array& x, int axis1, int axis2) {
int ndim = x.ndim();
if (axis1 < 0) {
axis1 += ndim;
}
if (axis2 < 0) {
axis2 += ndim;
}
auto shape = x.shape();
std::swap(shape[axis1], shape[axis2]);
auto strides = x.strides();
std::swap(strides[axis1], strides[axis2]);
auto [data_size, row_contiguous, col_contiguous] =
check_contiguity(shape, strides);
bool contiguous = data_size == x.data_size();
array out(std::move(shape), x.dtype(), nullptr, {});
out.copy_shared_buffer(
x,
std::move(strides),
{contiguous, row_contiguous, col_contiguous},
x.data_size());
return out;
}
} // namespace mlx::core

View File

@@ -196,9 +196,6 @@ void shared_buffer_reshape(
const Strides& out_strides,
array& out);
// Like the swapaxes op but safe to call in eval_gpu.
array swapaxes_in_eval(const array& x, int axis1, int axis2);
template <typename T>
inline SmallVector<T> remove_index(SmallVector<T> vec, size_t index) {
vec.erase(std::next(vec.begin(), index));