问题-problem1 在imort jax的时候,出现了一个报错: AttributeError: moudule 'ml_dtypes' has no attribute 'float8_e4m3b11' 解决-solution1 这个问题是由于'ml_dtypes'版本比较高导致的,对这个包降低版本到0.2.0就好了 pip install ml_dtypes==0.2.0 之后import jax就不报错了。 近期持续更新 ...
<remote-id type="github">jax-ml/ml_dtypes</remote-id> <remote-id type="pypi">ml_dtypes</remote-id> <remote-id type="pypi">ml-dtypes</remote-id> </upstream> </pkgmetadata>3 changes: 2 additions & 1 deletion 3 dev-python/ml_dtypes/ml_dtypes-0.2.0.ebuild → dev-python/ml-dtypes...
如果ml_dtypes 是一个第三方库,你可以尝试在PyPI(Python Package Index)上搜索它: bash pip search ml_dtypes 如果搜索结果中没有 ml_dtypes,可能需要确认模块名称或寻找其他类似的库。 如果ml_dtypes 是你自己或团队内部开发的模块,需要确认模块文件的路径,并确保该路径在Python的搜索路径中(可以通过 sys.path ...
A stand-alone implementation of several NumPy dtype extensions used in machine learning. - jax-ml/ml_dtypes
* Updates `ml_dtypes` for compatibility with future NumPy 2.0 release.2 changes: 1 addition & 1 deletion 2 ml_dtypes/__init__.py Original file line numberDiff line numberDiff line change @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # lim...
#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" ...
[project] name = "ml_dtypes" version = "0.4.0" # Keep in sync with ml_dtypes/__init__.py:__version__ description = "" readme = "README.md" requires-python = ">=3.9" license = {file = "LICENSE"} authors = [{name = "ml_dtypes authors", email="ml_dtypes@google.com"}] ...
Code Issues21 Pull requests5 Actions Projects Security Insights Additional navigation options Files main .github .vscode ml_dtypes _src common.h custom_float.h dtypes.cc intn_numpy.h numpy.cc numpy.h ufuncs.h include tests __init__.py ...
importml_dtypesimportnumpyasnpimportjson# Create the arrayx=np.array([.2,.4,.6],dtype=ml_dtypes.float8_e5m2)np.save('x.npy',x.view('uint8'))x2=np.load('x.npy').view(ml_dtypes.float8_e5m2)print(np.all(x==x2))# True ...
"numpy>=1.26.0; python_version>='3.12'", ] [project.urls] homepage = "https://github.com/jax-ml/ml_dtypes" repository = "https://github.com/jax-ml/ml_dtypes" # Other: `documentation`, `changelog` [project.optional-dependencies] # Development deps (unittest, linting, formating,...)...