Create conda template for GPU dependencies.
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Description
We can use a jinja template to avoid:
```
mamba create -y -n gpu_test -c rapidsai -c conda-forge -c nvidia \
python=$PYTHON_VERSION "cudf=$RAPIDS_VERSION.*" "rmm=$RAPIDS_VERSION.*" cuda-version=$CUDA_SHORT_VER \
"nccl=${NCCL_SHORT_VER}" \
dask \
distributed \
"dask-cuda=$RAPIDS_VERSION.*" "dask-cudf=$RAPIDS_VERSION.*" cupy \
numpy pytest pytest-timeout scipy scikit-learn pandas matplotlib wheel \
python-kubernetes urllib3 graphviz hypothesis "loky>=3.5.1" \
"pyspark>=3.4.0,<4.0" cloudpickle cuda-python && \
```
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