zhangyiss/mlx
1
0
Fork 0
mirror of https://github.com/ml-explore/mlx.git synced 2025-12-16 01:49:05 +08:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

lower memory uniform

Browse Source
This commit is contained in:
Awni Hannun
2025-07-11 13:39:37 -07:00
parent e7d2ebadd2
commit ddd132ca26
1 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
mlx/random.cpp
View File

@@ -150,18 +150,18 @@ array uniform(
case float16:
return std::make_pair(
array(below_one<float16_t>(), float16),
array(std::numeric_limits<uint16_t>::max(), float32));
array(std::numeric_limits<uint32_t>::max(), float32));
case bfloat16:
return std::make_pair(
array(below_one<bfloat16_t>(), bfloat16),
array(std::numeric_limits<uint16_t>::max(), float32));
array(std::numeric_limits<uint16_t>::max(), bfloat16));
default:
throw std::runtime_error("[uniform] Unsupported type.");
}
};
auto [upper, maxval] = get_limits();
auto out = bits(shape, size_of(dtype), key, stream);
auto out = bits(shape, size_of(maxval.dtype()), key, stream);
out = astype(divide(out, maxval, stream), dtype, stream);
out = minimum(out, upper, stream);
return add(multiply(range, out, stream), lo, stream);