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--- software:miniconda:darwin [2025-11-06 15:35] – [Installing Applications with Conda] thuachen
+++ software:miniconda:darwin [2025-11-06 15:39] (current) – [Migrating Environments] thuachen
@@ Line 67: / Line 67: @@
 </code>
+===== Migrating Environments =====
+In the terminal window, to view the environments available to you, use
+<code bash>
+[(my_workgroup:user)@login01 ~]$ conda env list
+# conda environments:
+#
+base                   /opt/shared/miniconda/25.1.1.2
+                      */lustre/workgroup/sw/myenv
+</code>
+After activating the desired environment, export the current environment,
+<code bash>
+[(my_workgroup:user)@login01 ~]$ conda activate /lustre/workgroup/sw/myenv
+(/lustre/workgroup/sw/myenv)[(my_workgroup:user)@login01 ~]$ conda export --file=myenv.yaml
+name: /lustre/workgroup/sw/myenv
+channels:
+  - conda-forge
+dependencies:
+  - _libgcc_mutex=0.1=conda_forge
+  - _openmp_mutex=4.5=2_gnu
+  - bzip2=1.0.8=hda65f42_8
+  - ca-certificates=2025.10.5=hbd8a1cb_0
+  - cuda-version=11.8=h70ddcb2_3
+  - cudatoolkit=11.8.0=h4ba93d1_13
+  - cudnn=8.9.7.29=hbc23b4c_3
+...
+...
+prefix: /lustre/workgroup/sw/myenv
+</code>
+Then you can duplicate the same environment with
+<code bash>
+(/lustre/workgroup/sw/myenv)[(my_workgroup:user)@login01 ~]$ conda deactivate
+[(my_workgroup:user)@login01 ~]$ conda create -p /lustre/workgroup/sw/myenv_2 -f myenv.yml
+</code>
+===== Recipes ====
+Examples documented as recipes to be used for specific installations, including using a ''workgroup'' directory as well as creating VALET packages for these environments and job scripts setup for batch runs, but can also perhaps help others in solving similar installation dilemmas.
+  * [[technical:recipes:tensorflow-in-virtualenv|Building a TensorFlow Python Virtual Environment]]