zhangyiss/mlx
1
0
Fork 0
mirror of https://github.com/ml-explore/mlx.git synced 2025-06-24 09:21:16 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Fix boolean all reduce bug (#1355)

Browse Source
This commit is contained in:
Angelos Katharopoulos 2024-08-24 10:09:32 -07:00 committed by GitHub
parent 64bec4fad7
commit 8081df79be
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
4 changed files with 14 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
CMakeLists.txt
View File

@ -24,7 +24,7 @@ option(MLX_METAL_JIT "Use JIT compilation for Metal kernels" OFF)
option(BUILD_SHARED_LIBS "Build mlx as a shared library" OFF)
if(NOT MLX_VERSION)
set(MLX_VERSION 0.17.0)
set(MLX_VERSION 0.17.1)
endif()
# --------------------- Processor tests -------------------------

6
mlx/backend/metal/reduce.cpp
View File

@ -308,7 +308,11 @@ void all_reduce_dispatch(
compute_encoder.dispatchThreads(grid_dims, group_dims);
// 2nd pass
compute_encoder->setComputePipelineState(kernel);
std::ostringstream kname_2nd_pass;
kname_2nd_pass << "all_reduce_" << op_name << type_to_name(intermediate);
auto kernel_2nd_pass =
get_reduce_kernel(d, kname_2nd_pass.str(), op_name, intermediate, out);
compute_encoder->setComputePipelineState(kernel_2nd_pass);
size_t intermediate_size = n_rows;
grid_dims = MTL::Size(threadgroup_2nd_pass, 1, 1);
group_dims = MTL::Size(threadgroup_2nd_pass, 1, 1);

7
python/tests/test_reduce.py
View File

@ -124,6 +124,13 @@ class TestReduce(mlx_tests.MLXTestCase):
z = np.array(x).sum((0, 2, 3))
self.assertTrue(np.all(z == y))
def test_sum_bool(self):
x = np.random.uniform(0, 1, size=(10, 10, 10)) > 0.5
y = mx.array(x)
npsum = x.sum().item()
mxsum = y.sum().item()
self.assertEqual(npsum, mxsum)
if __name__ == "__main__":
unittest.main(failfast=True)

2
setup.py
View File

@ -163,7 +163,7 @@ if __name__ == "__main__":
setup(
name="mlx",
version=get_version("0.17.0"),
version=get_version("0.17.1"),
author="MLX Contributors",
author_email="mlx@group.apple.com",
description="A framework for machine learning on Apple silicon.",