mirror of
https://github.com/ml-explore/mlx.git
synced 2025-12-16 01:49:05 +08:00
Fix slice data size (#1394)
* fix slice data size and add tests * fix contiguous flag * simplify stride and perform copy for non-contiguous arrays * fix cpu * comment
This commit is contained in:
@@ -505,8 +505,16 @@ void Slice::eval(const std::vector<array>& inputs, array& out) {
|
||||
/* int64_t o_offset = */ 0,
|
||||
/* CopyType ctype = */ CopyType::General);
|
||||
} else {
|
||||
size_t data_end = 1;
|
||||
for (int i = 0; i < end_indices_.size(); ++i) {
|
||||
if (in.shape()[i] > 1) {
|
||||
auto end_idx = start_indices_[i] + out.shape()[i] * strides_[i] - 1;
|
||||
data_end += end_idx * in.strides()[i];
|
||||
}
|
||||
}
|
||||
size_t data_size = data_end - data_offset;
|
||||
std::vector<size_t> ostrides{inp_strides.begin(), inp_strides.end()};
|
||||
shared_buffer_slice(in, ostrides, data_offset, out);
|
||||
shared_buffer_slice(in, ostrides, data_offset, data_size, out);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -6,18 +6,16 @@ namespace mlx::core {
|
||||
|
||||
std::tuple<bool, int64_t, std::vector<int64_t>> prepare_slice(
|
||||
const array& in,
|
||||
std::vector<int>& start_indices,
|
||||
std::vector<int>& strides) {
|
||||
const std::vector<int>& start_indices,
|
||||
const std::vector<int>& strides) {
|
||||
int64_t data_offset = 0;
|
||||
bool copy_needed = false;
|
||||
std::vector<int64_t> inp_strides(in.ndim(), 0);
|
||||
for (int i = 0; i < in.ndim(); ++i) {
|
||||
data_offset += start_indices[i] * in.strides()[i];
|
||||
inp_strides[i] = in.strides()[i] * strides[i];
|
||||
|
||||
copy_needed |= strides[i] < 0;
|
||||
}
|
||||
|
||||
return std::make_tuple(copy_needed, data_offset, inp_strides);
|
||||
}
|
||||
|
||||
@@ -25,26 +23,16 @@ void shared_buffer_slice(
|
||||
const array& in,
|
||||
const std::vector<size_t>& out_strides,
|
||||
size_t data_offset,
|
||||
size_t data_size,
|
||||
array& out) {
|
||||
// Compute row/col contiguity
|
||||
auto [data_size, is_row_contiguous, is_col_contiguous] =
|
||||
auto [no_bsx_size, is_row_contiguous, is_col_contiguous] =
|
||||
check_contiguity(out.shape(), out_strides);
|
||||
|
||||
auto flags = in.flags();
|
||||
flags.row_contiguous = is_row_contiguous;
|
||||
flags.col_contiguous = is_col_contiguous;
|
||||
|
||||
if (data_size == 1) {
|
||||
// Broadcasted scalar array is contiguous.
|
||||
flags.contiguous = true;
|
||||
} else if (data_size == in.data_size()) {
|
||||
// Means we sliced a broadcasted dimension so leave the "no holes" flag
|
||||
// alone.
|
||||
} else {
|
||||
// We sliced something. So either we are row or col contiguous or we
|
||||
// punched a hole.
|
||||
flags.contiguous &= flags.row_contiguous || flags.col_contiguous;
|
||||
}
|
||||
flags.contiguous = (no_bsx_size == data_size);
|
||||
|
||||
out.copy_shared_buffer(in, out_strides, flags, data_size, data_offset);
|
||||
}
|
||||
|
||||
@@ -8,13 +8,14 @@ namespace mlx::core {
|
||||
|
||||
std::tuple<bool, int64_t, std::vector<int64_t>> prepare_slice(
|
||||
const array& in,
|
||||
std::vector<int>& start_indices,
|
||||
std::vector<int>& strides);
|
||||
const std::vector<int>& start_indices,
|
||||
const std::vector<int>& strides);
|
||||
|
||||
void shared_buffer_slice(
|
||||
const array& in,
|
||||
const std::vector<size_t>& out_strides,
|
||||
size_t data_offset,
|
||||
size_t data_size,
|
||||
array& out);
|
||||
|
||||
} // namespace mlx::core
|
||||
|
||||
@@ -135,7 +135,7 @@ template <typename stride_t>
|
||||
inline auto check_contiguity(
|
||||
const std::vector<int>& shape,
|
||||
const std::vector<stride_t>& strides) {
|
||||
size_t data_size = 1;
|
||||
size_t no_broadcast_data_size = 1;
|
||||
size_t f_stride = 1;
|
||||
size_t b_stride = 1;
|
||||
bool is_row_contiguous = true;
|
||||
@@ -147,11 +147,12 @@ inline auto check_contiguity(
|
||||
f_stride *= shape[i];
|
||||
b_stride *= shape[ri];
|
||||
if (strides[i] > 0) {
|
||||
data_size *= shape[i];
|
||||
no_broadcast_data_size *= shape[i];
|
||||
}
|
||||
}
|
||||
|
||||
return std::make_tuple(data_size, is_row_contiguous, is_col_contiguous);
|
||||
return std::make_tuple(
|
||||
no_broadcast_data_size, is_row_contiguous, is_col_contiguous);
|
||||
}
|
||||
|
||||
} // namespace mlx::core
|
||||
|
||||
Reference in New Issue
Block a user