[Doc] Upgrade Install Requirement (#1179)

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*Description of changes:*


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---------

Co-authored-by: Jian Zhang (James) <[email protected]>

README.md

@@ -18,7 +18,18 @@ provide their own model implementations and use GraphStorm training pipeline to
 ### Installation
 GraphStorm is compatible to Python 3.8+. It requires PyTorch 1.13+, DGL 1.0+ and transformers 4.3.0+. GraphStorm only supports DGL up to version 2.3.0.
 
-GraphStorm can be installed with pip and it can be used to train GNN models in a standalone mode. To run GraphStorm in a distributed environment, we recommend users to using [Docker](https://docs.docker.com/get-started/overview/) container to reduce environment setup efforts. A guideline to setup GraphStorm running environment can be found at [here](https://graphstorm.readthedocs.io/en/latest/install/env-setup.html#setup-graphstorm-docker-environment) and a full instruction on how to setup distributed training can be found [here](https://graphstorm.readthedocs.io/en/latest/cli/model-training-inference/distributed/cluster.html).
+GraphStorm can be installed with pip and it can be used to train GNN models in a standalone mode. To run GraphStorm in a distributed environment, we recommend users to using [Docker](https://docs.docker.com/get-started/overview/) container to reduce environment setup efforts. A guideline to setup GraphStorm running environment can be found at [here](https://graphstorm.readthedocs.io/en/latest/install/env-setup.html#setup-graphstorm-docker-environment) and a full instruction on how to setup distributed training can be found [here](https://graphstorm.readthedocs.io/en/latest/cli/model-training-inference/distributed/cluster.html). For quick installation, please refer to the following command:
+```
+pip install torchdata==0.9.0 pydantic
+#CPU
+pip install torch==2.3.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
+pip install dgl==2.3.0 -f https://data.dgl.ai/wheels/torch-2.3/repo.html
+#GPU
+pip install torch==2.3.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+pip install dgl==2.3.0+cu121 -f https://data.dgl.ai/wheels/torch-2.3/cu121/repo.html
+
+pip install graphstorm
+```
 
 ### Run GraphStorm with OGB datasets
 

docs/source/install/env-setup.rst

@@ -29,26 +29,27 @@ Users can use ``pip`` or ``pip3`` to install GraphStorm.
 
 Install Dependencies
 .....................
-Users should install PyTorch v2.1.0 and DGL v1.1.3 that is the core dependency of GraphStorm using the following commands.
+Users should install PyTorch v2.3.0 and DGL v2.3.0 that is the core dependency of GraphStorm using the following commands. For users who have to use the previous DGL versions, please refer to [install GraphStorm with DGL 1.1.3](https://graphstorm.readthedocs.io/en/v0.4/install/env-setup.html#install-graphstorm)
 
 For Nvidia GPU environment:
 
 .. code-block:: bash
 
+    pip install torchdata==0.9.0 pydantic
     # for CUDA 11
-    pip install torch==2.1.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
-    pip install dgl==1.1.3+cu118 -f https://data.dgl.ai/wheels/cu118/repo.html
+    pip install torch==2.3.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+    pip install dgl==2.3.0+cu118 -f https://data.dgl.ai/wheels/torch-2.3/cu118/repo.html
 
     # for CUDA 12
-    pip install torch==2.1.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
-    pip install dgl==1.1.3+cu121 -f https://data.dgl.ai/wheels/cu121/repo.html
+    pip install torch==2.3.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+    pip install dgl==2.3.0+cu121 -f https://data.dgl.ai/wheels/torch-2.3/cu121/repo.html
 
 For CPU environment:
 
 .. code-block:: bash
-
-    pip install torch==2.1.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
-    pip install dgl==1.1.3 -f https://data.dgl.ai/wheels-internal/repo.html
+    pip install torchdata==0.9.0 pydantic
+    pip install torch==2.3.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
+    pip install dgl==2.3.0 -f https://data.dgl.ai/wheels/torch-2.3/repo.html
 
 Configure SSH No-password login (optional)
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