latex_documents = [ (master_doc, "numpy-ml.tex", "numpy-ml Documentation", "David Bourgin", "manual") ] # -- 用于手册页输出的选项 --- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [(master_doc, "n...
If you're submitting a new model / feature / module,please include proper documentation and unit tests. See thetest.pyfile in one of the existing modules for examples of unit tests. Documentation is loosely based on theNumPy docstring style. When in doubt, refer to existing examples Please f...
You can also take a look at the official documentation and Anatomy of Matplotlib. To get started, first import matplotlib.pyplot: Python >>> import matplotlib.pyplot as plt >>> plt.style.use('ggplot') Here, you use plt.style.use('ggplot') to set the style of the plots. Feel free...
Reference documentation Transformations At its core, JAX is an extensible system for transforming numerical functions. Here are three:jax.grad,jax.jit, andjax.vmap. Automatic differentiation withgrad Usejax.gradto efficiently compute reverse-mode gradients: ...
For details about the JAX API, see thereference documentation. For getting started as a JAX developer, see thedeveloper documentation. Releases No releases published Packages No packages published Languages Python94.2% C++3.1% Starlark1.2% Jupyter Notebook1.0% ...
rectangular area, which is also a command and is accompanied by a graphic explanation. The message window on the right will display the corresponding function description, while mousing hovering above. Click on theDetail Documentin the top right corner to see the documentation of the entire ...
Click on the Detail Document in the top right corner to see the documentation of the entire process. The workflow is actually written in MarkDown (a markup language), but it needs to be written respecting several specifications, as follows: Title === ## Chapter1 1. Section1 some coment...
For details about the JAX API, see the reference documentation.For getting started as a JAX developer, see the developer documentation.About Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more jax.readthedocs.io/ Resources Readme License Apache...
Reference documentation Quickstart: Colab in the Cloud Jump right in using a notebook in your browser, connected to a Google Cloud GPU. Here are some starter notebooks: The basics: NumPy on accelerators,gradfor differentiation,jitfor compilation, andvmapfor vectorization ...
Reference documentation Quickstart: Colab in the Cloud Jump right in using a notebook in your browser, connected to a Google Cloud GPU. Here are some starter notebooks: The basics: NumPy on accelerators, grad for differentiation, jit for compilation, and vmap for vectorization Training a Simple ...