Recommending miniforge for conda install (#4650)

Recommending `miniforge` for conda install in installation docs.

Authors:
  - Mike McCarty (https://github.com/mmccarty)
  - Bradley Dice (https://github.com/bdice)
  - Alex Barghi (https://github.com/alexbarghi-nv)

Approvers:
  - Rick Ratzel (https://github.com/rlratzel)
  - Bradley Dice (https://github.com/bdice)

URL: #4650

benchmarks/cugraph-dgl/notebooks/get_node_storage.ipynb

@@ -18,7 +18,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/datasets/vjawa/miniconda3/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "/datasets/vjawa/miniforge/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
       "  from .autonotebook import tqdm as notebook_tqdm\n"
      ]
     }

benchmarks/cugraph-dgl/notebooks/heterogeneous_dataloader_benchmark.ipynb

@@ -176,7 +176,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/datasets/vjawa/miniconda3/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/dgl/dataloading/dataloader.py:859: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html])\n",
+      "/datasets/vjawa/miniforge/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/dgl/dataloading/dataloader.py:859: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html])\n",
       "  dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on '\n"
      ]
     },

benchmarks/cugraph-dgl/notebooks/homogenous_dataloader_benchmark.ipynb

@@ -26,7 +26,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/datasets/vjawa/miniconda3/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "/datasets/vjawa/miniforge/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
       "  from .autonotebook import tqdm as notebook_tqdm\n"
      ]
     }
@@ -190,7 +190,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/datasets/vjawa/miniconda3/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/dgl/dataloading/dataloader.py:859: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html])\n",
+      "/datasets/vjawa/miniforge/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/dgl/dataloading/dataloader.py:859: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html])\n",
       "  dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on '\n"
      ]
     },
@@ -278,7 +278,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/datasets/vjawa/miniconda3/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/distributed/worker.py:2988: UserWarning: Large object of size 1.42 MiB detected in task graph: \n",
+      "/datasets/vjawa/miniforge/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/distributed/worker.py:2988: UserWarning: Large object of size 1.42 MiB detected in task graph: \n",
       "  [b'\\xad\\xd1\\xe3\\x9c\\x96\\x83O\\xb3\\xba1\\x86\\x94\\xb6\\ ... =int32), False]\n",
       "Consider scattering large objects ahead of time\n",
       "with client.scatter to reduce scheduler burden and \n",

benchmarks/cugraph/notebooks/feature_storage.ipynb

@@ -18,7 +18,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/datasets/vjawa/miniconda3/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "/datasets/vjawa/miniforge/envs/all_cuda-115_arch-x86_64/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
       "  from .autonotebook import tqdm as notebook_tqdm\n"
      ]
     }

docs/cugraph/source/installation/getting_cugraph.md

@@ -21,7 +21,7 @@ The RAPIDS Docker containers contain all RAPIDS packages, including all from cuG
 
 
 ## Conda
-It is easy to install cuGraph using conda. You can get a minimal conda installation with [Miniconda](https://conda.io/miniconda.html) or get the full installation with [Anaconda](https://www.anaconda.com/download).
+It is easy to install cuGraph using conda. You can get a minimal conda installation with [miniforge](https://github.com/conda-forge/miniforge).
 
 cuGraph Conda packages
  * cugraph - this will also import:

docs/cugraph/source/wholegraph/installation/getting_wholegraph.md

@@ -21,7 +21,7 @@ The RAPIDS Docker containers (as of Release 23.10) contain all RAPIDS packages,
 
 
 ## Conda
-It is easy to install WholeGraph using conda. You can get a minimal conda installation with [Miniconda](https://conda.io/miniconda.html) or get the full installation with [Anaconda](https://www.anaconda.com/download).
+It is easy to install WholeGraph using conda. You can get a minimal conda installation with [miniforge](https://github.com/conda-forge/miniforge).
 
 WholeGraph conda packages
  * libwholegraph