Merge pull request #266 from arogozhnikov/release-070rc1

release 0.7.0rc1, highlight changes in README

README.md

@@ -29,6 +29,7 @@ Supports numpy, pytorch, tensorflow, jax, and [others](#supported-frameworks).
 
 ## Recent updates:
 
+- 0.7.0rc1: no-hassle `torch.compile`, support of [array api standard](https://data-apis.org/array-api/latest/API_specification/index.html) and more
 - 10'000: github reports that more than 10k project use einops 🎂
 - see how to use einops with [torch.compile](https://github.com/arogozhnikov/einops/wiki/Using-torch.compile-with-einops)
 - einops 0.6.1: paddle backend added
@@ -38,13 +39,11 @@ Supports numpy, pytorch, tensorflow, jax, and [others](#supported-frameworks).
   Talk recordings are [available](https://iclr.cc/virtual/2022/oral/6603)
 
 
-<details>
-  <summary>Previous updates</summary>
-
-
-  - flax and oneflow backend added
-  - torch.jit.script is supported for pytorch layers
-  - powerful EinMix added to einops. [Einmix tutorial notebook](https://github.com/arogozhnikov/einops/blob/master/docs/3-einmix-layer.ipynb) 
+<details markdown="1">
+<summary>Previous updates</summary>
+- flax and oneflow backend added
+- torch.jit.script is supported for pytorch layers
+- powerful EinMix added to einops. [Einmix tutorial notebook](https://github.com/arogozhnikov/einops/blob/master/docs/3-einmix-layer.ipynb) 
 </details>
 
 <!--<div align="center">
@@ -167,30 +166,29 @@ from einops.layers.keras      import Rearrange, Reduce
 from einops.layers.chainer    import Rearrange, Reduce
 ```
 
-<details>
-  <summary>Example of using layers within a pytorch model</summary>
-
-
-  ```python
-  # example given for pytorch, but code in other frameworks is almost identical  
-  from torch.nn import Sequential, Conv2d, MaxPool2d, Linear, ReLU
-  from einops.layers.torch import Rearrange
-
-  model = Sequential(
-      ...,
-      Conv2d(6, 16, kernel_size=5),
-      MaxPool2d(kernel_size=2),
-      # flattening without need to write forward
-      Rearrange('b c h w -> b (c h w)'),  
-      Linear(16*5*5, 120), 
-      ReLU(),
-      Linear(120, 10), 
-  )
-  ```
-
-  No more flatten needed! 
-
-  Additionally, torch users will benefit from layers as those are script-able and compile-able.
+<details markdown="1">
+<summary>Example of using layers within a pytorch model</summary>
+Example given for pytorch, but code in other frameworks is almost identical
+
+```python 
+from torch.nn import Sequential, Conv2d, MaxPool2d, Linear, ReLU
+from einops.layers.torch import Rearrange
+
+model = Sequential(
+    ...,
+    Conv2d(6, 16, kernel_size=5),
+    MaxPool2d(kernel_size=2),
+    # flattening without need to write forward
+    Rearrange('b c h w -> b (c h w)'),  
+    Linear(16*5*5, 120), 
+    ReLU(),
+    Linear(120, 10), 
+)
+```
+
+No more flatten needed! 
+
+Additionally, torch users will benefit from layers as those are script-able and compile-able.
 </details>
 
 
@@ -324,6 +322,7 @@ Einops works with ...
 - [flax](https://github.com/google/flax) (experimental)
 - [paddle](https://github.com/PaddlePaddle/Paddle) (experimental)
 
+Additionally, starting from einops 0.7.0 einops can be used with any framework that supports [Python array API standard](https://data-apis.org/array-api/latest/API_specification/index.html)
 
 ## Citing einops <a name="Citing"></a>
 
@@ -343,4 +342,4 @@ Please use the following bibtex record
 
 ## Supported python versions
 
-`einops` works with python 3.7 or later.
+`einops` works with python 3.8 or later.

einops/__init__.py

@@ -1,5 +1,5 @@
 __author__ = 'Alex Rogozhnikov'
-__version__ = '0.6.2rc'
+__version__ = '0.7.0rc1'
 
 
 class EinopsError(RuntimeError):

mkdocs.yml

@@ -34,6 +34,7 @@ markdown_extensions:
   - admonition
   - codehilite
   - pymdownx.arithmatex
+  - markdown.extensions.md_in_html
 plugins:
   - search
   - mkdocstrings

scripts/setup.py

@@ -2,25 +2,25 @@
 This is a fake script, it is not used.
 Seems github does not count contributions unless you have a setup.py
 """
-__author__ = 'Alex Rogozhnikov'
+__author__ = "Alex Rogozhnikov"
 
 from setuptools import setup
 
 setup(
     name="einops",
-    version='0.6.2rc',
+    version="0.7.0rc1",
     description="A new flavour of deep learning operations",
-    long_description=open('README.md', encoding='utf-8').read(),
-    long_description_content_type='text/markdown',
-    url='https://github.com/arogozhnikov/einops',
-    author='Alex Rogozhnikov',
+    long_description=open("README.md", encoding="utf-8").read(),
+    long_description_content_type="text/markdown",
+    url="https://github.com/arogozhnikov/einops",
+    author="Alex Rogozhnikov",
     classifiers=[
-        'Intended Audience :: Science/Research',
-        'Programming Language :: Python :: 3 ',
-        'License :: OSI Approved :: MIT License',
+        "Intended Audience :: Science/Research",
+        "Programming Language :: Python :: 3 ",
+        "License :: OSI Approved :: MIT License",
     ],
-    keywords='deep learning, neural networks, tensor manipulation, machine learning, '
-             'scientific computations, einops',
+    keywords="deep learning, neural networks, tensor manipulation, machine learning, "
+    "scientific computations, einops",
     install_requires=[
         # no run-time or installation-time dependencies
     ],