update install

23cef1f5 · rusty1s · 0a4a5579 · 23cef1f5 · 23cef1f5 · 0a4a5579
Commit 23cef1f5 authored Feb 14, 2020 by rusty1s
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.travis.yml .travis.yml +1 -1

README.md README.md +2 -3

script/.gitignore script/.gitignore +0 -1

script/wheel.py script/wheel.py +0 -47

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--- a/.travis.yml
+++ b/.travis.yml
@@ -80,7 +80,7 @@ deploy:
  edge: true
  access_key_id: AKIAJB7S6NJ5OM5MAAGA
  secret_access_key: ${S3_SECRET_ACCESS_KEY}
-  bucket: pytorch-sparse
+  bucket: pytorch-geometric.com
  local_dir: dist/torch-${TORCH_VERSION}
  upload_dir: whl/torch-${TORCH_VERSION}
  acl: public_read

--- a/README.md
+++ b/README.md
@@ -29,12 +29,11 @@ Note that only `value` comes with autograd support, as `index` is discrete and t
 ### Binaries
-We provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](http://pytorch-sparse.s3-website.eu-central-1.amazonaws.com/whl).
+We provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://s3.eu-central-1.amazonaws.com/pytorch-geometric.com/whl/index.html).
 To install from binaries, simply run
 ```
-pip install torch-scatter==latest+${CUDA} -f http://pytorch-scatter.s3-website.eu-central-1.amazonaws.com/whl/torch-1.4.0.html --trusted-host pytorch-scatter.s3-website.eu-central-1.amazonaws.com
+pip install torch-scatter==latest+${CUDA} torch-sparse==latest+${CUDA} -f https://s3.eu-central-1.amazonaws.com/pytorch-geometric.com/whl/torch-1.4.0.html
-pip install torch-sparse==latest+${CUDA} -f http://pytorch-sparse.s3-website.eu-central-1.amazonaws.com/whl/torch-1.4.0.html --trusted-host pytorch-sparse.s3-website.eu-central-1.amazonaws.com
 ```
 where `${CUDA}` should be replaced by either `cpu`, `cu92`, `cu100` or `cu101` depending on your PyTorch installation.

--- a/script/.gitignore
+++ b/script/.gitignore
-*.html
--- a/script/wheel.py
+++ b/script/wheel.py
-import boto3
-s3_resource = boto3.resource('s3')
-bucket = s3_resource.Bucket(name="pytorch-sparse")
-objects = bucket.objects.all()
-wheels = sorted([obj.key for obj in objects if obj.key[-3:] == 'whl'])
-wheels_dict = {}
-for torch_version in list(set([wheel.split('/')[1] for wheel in wheels])):
-    wheels_dict[torch_version] = []
-for wheel in wheels:
-    torch_version = wheel.split('/')[1]
-    wheels_dict[torch_version].append(wheel)
-html = '<!DOCTYPE html>\n<html>\n<body>\n{}\n</body>\n</html>'
-href = '<a href="{}">{}</a><br/>'
-url = 'http://pytorch-sparse.s3-website.eu-central-1.amazonaws.com/{}.html'
-index_html = html.format('\n'.join([
-    href.format(url.format('whl/' + key), key) for key in wheels_dict.keys()
-]))
-with open('index.html', 'w') as f:
-    f.write(index_html)
-bucket.Object('whl/index.html').upload_file(
-    Filename='index.html', ExtraArgs={
-        'ContentType': 'text/html',
-        'ACL': 'public-read'
-    })
-url = 'https://pytorch-sparse.s3.eu-central-1.amazonaws.com/{}'
-for key, item in wheels_dict.items():
-    version_html = html.format('\n'.join([
-        href.format(url.format(i.replace('+', '%2B')),
-                    '/'.join(i.split('/')[2:])) for i in item
-    ]))
-    with open('{}.html'.format(key), 'w') as f:
-        f.write(version_html)
-    bucket.Object('whl/{}.html'.format(key)).upload_file(
-        Filename='{}.html'.format(key), ExtraArgs={
-            'ContentType': 'text/html',
-            'ACL': 'public-read'
-        })