fix dgl install (#32)

Co-authored-by: Kaustubh Tangsali <[email protected]>

Author: ktangsali

Dockerfile

@@ -19,8 +19,8 @@ FROM nvcr.io/nvidia/pytorch:$PYT_VER-py3 as builder
 RUN pip install --upgrade pip setuptools  
 
 # Install nightly build of dgl
-RUN pip install --pre dgl -f https://data.dgl.ai/wheels/cu117/repo.html
-RUN pip install --pre dglgo -f https://data.dgl.ai/wheels-test/repo.html
+RUN pip install --no-deps --pre dgl -f https://data.dgl.ai/wheels/cu117/repo.html
+RUN pip install --no-deps --pre dglgo -f https://data.dgl.ai/wheels-test/repo.html
 ENV DGLBACKEND=pytorch
 
 ENV _CUDA_COMPAT_TIMEOUT=90
@@ -80,4 +80,4 @@ FROM deploy as docs
 # Install CI packages
 RUN pip install tensorflow>=2.11.0 warp-lang>=0.6.0 protobuf==3.20.0
 # Install packages for Sphinx build
-RUN pip install recommonmark==0.7.1 sphinx==5.1.1 sphinx-rtd-theme==1.0.0 pydocstyle==6.1.1 nbsphinx==0.8.9 nbconvert==6.4.3 jinja2==3.0.3
+RUN pip install recommonmark==0.7.1 sphinx==5.1.1 sphinx-rtd-theme==1.0.0 pydocstyle==6.1.1 nbsphinx==0.8.9 nbconvert==6.4.3 jinja2==3.0.3