目录 收起 安装-Install(on Linux) 问题-problem1 解决-solution1 安装-Install(on Linux) 这是官网对于安装的说明: GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and moregithub.com/google/jax?tab=readme-ov-file#installatio...
A stand-alone implementation of several NumPy dtype extensions used in machine learning. - jax-ml/ml_dtypes
import ml_dtypes import numpy as np import pickle # Create the array a = np.array([.2, .4, .6], dtype=ml_dtypes.float8_e5m2) b = np.array([.2, .4, .6], dtype=ml_dtypes.float8_e4m3) # Save with open('a.npy.pkl', "wb") as f: pickle.dump(a, f) with open('b....
A stand-alone implementation of several NumPy dtype extensions used in machine learning. - ml_dtypes/pyproject.toml at main · jax-ml/ml_dtypes
DESCRIPTION="A stand-alone implementation of several NumPy dtype extensions" HOMEPAGE="https://github.com/jax-ml/ml_dtypes" SRC_URI=" https://github.com/jax-ml/${PN}/archive/refs/tags/v${PV}.tar.gz -> ${P}.gh.tar.gz https://github.com/jax-ml/${PNGH}/archive/refs/tags/v${PV...
np.ndarray of bfloat16 using ml_dtypes is being interpreted as complex64 by mlx. To Reproduce >>> from ml_dtypes import bfloat16 >>> import numpy as np >>> x = np.array(1., dtype=bfloat16) >>> import mlx.core as mx >>> mx.array(x) array(1+0j, dtype=complex64) >>> ...
#include "ml_dtypes/_src/numpy.h" //NOLINT // clang-format on #include <array> // NOLINT @@ -31,11 +31,11 @@ limitations under the License. #include <Python.h> #include "Eigen/Core" #include "_src/custom_float.h" #include "_src/intn_numpy.h" #include "include/float8.h" ...
importextfromml_dtypesimportbfloat16importnumpyasnpx=np.array(1.,dtype=np.float16)ext.check(x)x=np.array(1.,dtype=bfloat16)# Error:# TypeError: check(): incompatible function arguments. The following argument types are supported:# 1. check(arg: typing.Union[float, ndarray[writable=False,...
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more - Bump ml_dtypes>=0.5.0 · jax-ml/jax@4b7ead4
A stand-alone implementation of several NumPy dtype extensions used in machine learning. - Refactor ufunc implementations to use variadic template arguments for… · jax-ml/ml_dtypes@10f0272