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Fix ternary for large arrays (#1359)

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* fix ternary for large arrays

* fix
This commit is contained in:
Awni Hannun 2024-08-26 11:22:27 -07:00 committed by GitHub
parent 860d3a50d7
commit 2fdf9eb535
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GPG Key ID: B5690EEEBB952194
2 changed files with 37 additions and 5 deletions
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28
mlx/backend/common/ternary.h
View File

@ -12,6 +12,7 @@ namespace {
// TODO: Add support for more combinations of input types.
enum class TernaryOpType {
ScalarScalarScalar,
VectorVectorVector,
General,
};
@ -20,6 +21,12 @@ get_ternary_op_type(const array& a, const array& b, const array& c) {
TernaryOpType topt;
if (a.data_size() == 1 && b.data_size() == 1 && c.data_size() == 1) {
topt = TernaryOpType::ScalarScalarScalar;
} else if (
(a.flags().row_contiguous && b.flags().row_contiguous &&
c.flags().row_contiguous) ||
(a.flags().col_contiguous && b.flags().col_contiguous &&
c.flags().col_contiguous)) {
topt = TernaryOpType::VectorVectorVector;
} else {
topt = TernaryOpType::General;
}
@ -33,11 +40,32 @@ void set_ternary_op_output_data(
array& out,
TernaryOpType topt,
bool donate_with_move = false) {
auto maybe_donate = [&out, donate_with_move](const array& x) {
if (x.is_donatable() && x.itemsize() == out.itemsize()) {
if (donate_with_move) {
out.move_shared_buffer(x);
} else {
out.copy_shared_buffer(x);
}
return true;
}
return false;
};
switch (topt) {
case TernaryOpType::ScalarScalarScalar:
out.set_data(
allocator::malloc_or_wait(out.itemsize()), 1, b.strides(), b.flags());
break;
case TernaryOpType::VectorVectorVector:
if (!(maybe_donate(a) || maybe_donate(b) || maybe_donate(c))) {
out.set_data(
allocator::malloc_or_wait(out.itemsize() * b.data_size()),
b.data_size(),
b.strides(),
b.flags());
}
break;
case TernaryOpType::General:
out.set_data(allocator::malloc_or_wait(out.nbytes()));
break;

14
mlx/backend/metal/ternary.cpp
View File

@ -56,9 +56,12 @@ void ternary_op_gpu_inplace(
auto& compute_encoder = d.get_command_encoder(s.index);
compute_encoder->setComputePipelineState(kernel);
compute_encoder.set_input_array(a, 0);
compute_encoder.set_input_array(b, 1);
compute_encoder.set_input_array(c, 2);
bool donate_a = a.data_shared_ptr() == nullptr;
bool donate_b = b.data_shared_ptr() == nullptr;
bool donate_c = c.data_shared_ptr() == nullptr;
compute_encoder.set_input_array(donate_a ? out : a, 0);
compute_encoder.set_input_array(donate_b ? out : b, 1);
compute_encoder.set_input_array(donate_c ? out : c, 2);
compute_encoder.set_output_array(out, 3);
if (topt == TernaryOpType::General) {
@ -91,9 +94,10 @@ void ternary_op_gpu_inplace(
MTL::Size grid_dims = MTL::Size(dim0, dim1, rest);
compute_encoder.dispatchThreads(grid_dims, group_dims);
} else {
// Launch a 1D grid of threads
// Launch a 1D or 2D grid of threads
size_t nthreads = out.data_size();
MTL::Size grid_dims = MTL::Size(nthreads, 1, 1);
MTL::Size grid_dims = use_2d ? get_2d_grid_dims(out.shape(), out.strides())
: MTL::Size(nthreads, 1, 1);
NS::UInteger thread_group_size = kernel->maxTotalThreadsPerThreadgroup();
if (thread_group_size > nthreads) {
thread_group_size = nthreads;