v0.2.1

Author: KiddoZhu

README.md

@@ -42,9 +42,9 @@ conda install torchdrug -c milagraph -c conda-forge -c pytorch -c pyg
 ### From Pip ###
 
 ```bash
-pip3 install torch==1.9.0
-pip3 install torch-scatter torch-cluster -f https://pytorch-geometric.com/whl/torch-1.9.0+cu102.html
-pip3 install torchdrug
+pip install torch==1.9.0
+pip install torch-scatter torch-cluster -f https://pytorch-geometric.com/whl/torch-1.9.0+cu102.html
+pip install torchdrug
 ```
 
 To install `torch-scatter` for other PyTorch or CUDA versions, please see the

conda/torchdrug/meta.yaml

@@ -1,6 +1,6 @@
 package:
   name: torchdrug
-  version: 0.2.0
+  version: 0.2.1
 
 source:
   path: ../..

doc/source/api/utils.rst

@@ -93,6 +93,6 @@ Decorator
 Helper functions
 ----------------
 
-.. currentmodule:: torchdrug.utils.doc
+.. currentmodule:: torchdrug.utils
 
 .. autofunction:: copy_args

doc/source/installation.rst

@@ -2,7 +2,7 @@ Installation
 ============
 
 TorchDrug can be installed on either Linux, Windows or macOS. It is compatible with
-Python 3.7/3.8/3.9 and PyTorch >= 1.8.0.
+3.7 <= Python <= 3.10 and PyTorch >= 1.8.0.
 
 For Windows
 
@@ -20,7 +20,7 @@ First, let's install PyTorch.
 
 .. code:: bash
 
-    pip3 install torch
+    pip install torch
 
 To install ``torch-scatter``, we need to check the version of PyTorch and CUDA.
 
@@ -30,7 +30,7 @@ and CUDA is ``10.2``, the command should be
 
 .. code:: bash
 
-    pip3 install torch-scatter torch-cluster -f https://pytorch-geometric.com/whl/torch-1.8.0+cu102.html
+    pip install torch-scatter torch-cluster -f https://pytorch-geometric.com/whl/torch-1.8.0+cu102.html
 
 Replace the versions in the above url according to your case. If you don't have GPUs
 or CUDA installed, treat the CUDA version in the url as ``cpu``. See
@@ -40,7 +40,7 @@ Finally, install TorchDrug via
 
 .. code:: bash
 
-    pip3 install torchdrug
+    pip install torchdrug
 
 From Source
 -----------
@@ -89,7 +89,10 @@ create the profile if you use it for the first time.
 Apple Silicon (M1/M2 Chips)
 ---------------------------
 
-PyTorch supports Apple silicon from version 1.13. While `torch-scatter` and `torch-cluster` don't have pre-compiled binaries for Apple silicon, we can compile them from their sources. See https://github.com/rusty1s/pytorch_scatter/issues/241 for more details.
+PyTorch supports Apple silicon from version 1.13. While `torch-scatter` and
+`torch-cluster` don't have pre-compiled binaries for Apple silicon, we can compile
+them from their sources. See https://github.com/rusty1s/pytorch_scatter/issues/241
+for more details.
 
 .. code:: bash
 

docker/Dockerfile

@@ -1,7 +1,7 @@
 FROM pytorch/pytorch:1.8.1-cuda11.1-cudnn8-devel
 
 # metainformation
-LABEL org.opencontainers.image.version = "0.2.0"
+LABEL org.opencontainers.image.version = "0.2.1"
 LABEL org.opencontainers.image.authors = "TorchDrug Team"
 LABEL org.opencontainers.image.source = "https://github.com/DeepGraphLearning/torchdrug"
 LABEL org.opencontainers.image.licenses = "Apache License 2.0"

setup.py

@@ -13,7 +13,7 @@
         long_description_content_type="text/markdown",
         url="https://torchdrug.ai/",
         author="TorchDrug Team",
-        version="0.2.0",
+        version="0.2.1",
         license="Apache-2.0",
         keywords=["deep-learning", "pytorch", "drug-discovery"],
         packages=setuptools.find_packages(),

torchdrug/__init__.py

@@ -12,4 +12,4 @@
 handler.setFormatter(format)
 logger.addHandler(handler)
 
-__version__ = "0.2.0"
+__version__ = "0.2.1"