Replacing BaseMM_PRISM with PRISM

.env.aurora.example

@@ -38,7 +38,7 @@ PRISM_DATA_ROOT="/lus/flare/projects/<project>/<user>/prism_data"
 # Interleaved tokenizers. Two are committed under tokenizers/ in the repo;
 # there is no builder script. Referenced by the
 # prism_olmo*_ts presets in src/conf/model/.
-PRISM_TOKENIZERS="/lus/flare/projects/<project>/<user>/BaseMM_PRISM/tokenizers"
+PRISM_TOKENIZERS="/lus/flare/projects/<project>/<user>/PRISM/tokenizers"
 
 # Staged third-party generator assets, e.g. the pinned OmniGen2 checkout used
 # by src/conf/image_generation/*.json (which append "/OmniGen2").

.env.template

@@ -17,7 +17,7 @@ HF_HOME="/flare/<project>/<your_username>"
 
 # PRISM Project Root
 # Path to the base of the repository
-PRISM_DIR="/flare/<project>/<your_username>/BaseMM_PRISM"
+PRISM_DIR="/flare/<project>/<your_username>/PRISM"
 
 # Shared Hugging Face Hub (Optional but strongly recommended on Aurora)
 # A shared directory containing pre-downloaded models to avoid re-downloading.
@@ -73,7 +73,7 @@ PRISM_DATA_ROOT="/flare/<project>/<your_username>/data"
 
 # Interleaved tokenizers (two are committed under tokenizers/), referenced by the
 # prism_olmo*_ts presets in src/conf/model/.
-PRISM_TOKENIZERS="/flare/<project>/<your_username>/BaseMM_PRISM/tokenizers"
+PRISM_TOKENIZERS="/flare/<project>/<your_username>/PRISM/tokenizers"
 
 # Staged third-party generator assets, e.g. the pinned OmniGen2 snapshot used
 # by the image-generation configs in src/conf/image_generation/.
@@ -100,7 +100,7 @@ PRISM_OUTPUT_ROOT="/flare/<project>/<your_username>/outputs"
 # Custom OLMo tokenizer with interleaving tokens added, used as llm_tokenizer_id
 # by the prism-olmo-*-interleaved presets. Build with
 # the committed tokenizers/ directory, or point at your own path.
-# PRISM_OLMO1B_INTERLEAVED_TOKENIZER="/flare/<project>/<your_username>/BaseMM_PRISM/tokenizers/prism-olmo-1b-interleaved"
+# PRISM_OLMO1B_INTERLEAVED_TOKENIZER="/flare/<project>/<your_username>/PRISM/tokenizers/prism-olmo-1b-interleaved"
 
 # Shared HF hub snapshot of the walrus geometry encoder weights. When set and
 # the file exists, src/encoders/geometry.py loads it directly instead of

.github/CODEOWNERS

@@ -1,4 +1,4 @@
-# Code owners for BaseMM_PRISM.
+# Code owners for PRISM.
 #
 # GitHub requests a review from the owning entry whenever a matching file
 # changes. Branch protection on `main` will require one approving review at the

.github/ISSUE_TEMPLATE/feature_request.md

@@ -24,7 +24,7 @@ Other solutions or features you considered, and why they fall short.
 ## Compatibility Impact
 
 Would this change any of the following? See *Compatibility* in
-[CONTRIBUTING.md](https://github.com/AI-ModCon/BaseMM_PRISM/blob/main/CONTRIBUTING.md).
+[CONTRIBUTING.md](https://github.com/AI-ModCon/PRISM/blob/main/CONTRIBUTING.md).
 
 - [ ] `src.*` import paths
 - [ ] the `prism` CLI surface

.github/pull_request_template.md

@@ -55,12 +55,12 @@ its license and provenance. Write "None" if there are none.
 - [ ] I have added tests that cover this change, or explained why none are needed
 - [ ] New and existing tests pass locally
 - [ ] No secrets, credentials, or absolute institutional paths are included
-      (see [SECURITY.md](https://github.com/AI-ModCon/BaseMM_PRISM/blob/main/SECURITY.md))
+      (see [SECURITY.md](https://github.com/AI-ModCon/PRISM/blob/main/SECURITY.md))
 
 ## AI/LLM Assistance
 
 See *Guidelines for AI/LLM-Assisted Contributions* in
-[CONTRIBUTING.md](https://github.com/AI-ModCon/BaseMM_PRISM/blob/main/CONTRIBUTING.md). All PRs require a human reviewer who is
+[CONTRIBUTING.md](https://github.com/AI-ModCon/PRISM/blob/main/CONTRIBUTING.md). All PRs require a human reviewer who is
 accountable for the review — a project norm, not yet enforced by branch
 protection.
 

CHANGELOG.md

@@ -68,4 +68,4 @@ will make up v0.1.0.
      pretrained causal-LM backbone, with validated training paths on Aurora,
      Polaris, and Perlmutter. -->
 
-[Unreleased]: https://github.com/AI-ModCon/BaseMM_PRISM/commits/main
+[Unreleased]: https://github.com/AI-ModCon/PRISM/commits/main

CITATION.cff

@@ -42,8 +42,8 @@ abstract: >-
 type: software
 version: 0.1.0
 license: Apache-2.0
-repository-code: "https://github.com/AI-ModCon/BaseMM_PRISM"
-url: "https://github.com/AI-ModCon/BaseMM_PRISM"
+repository-code: "https://github.com/AI-ModCon/PRISM"
+url: "https://github.com/AI-ModCon/PRISM"
 keywords:
   - multimodal
   - machine learning

CONTRIBUTING.md

@@ -128,8 +128,8 @@ Historical experiment IDs and their ordering are stable — see *Compatibility*.
 1. Fork the repository, then clone your fork **with submodules**:
 
    ```bash
-   git clone --recursive https://github.com/<your-username>/BaseMM_PRISM.git
-   cd BaseMM_PRISM
+   git clone --recursive https://github.com/<your-username>/PRISM.git
+   cd PRISM
    ```
 
    If you already cloned without `--recursive`:

README.md

@@ -46,8 +46,8 @@ No HPC allocation, DAOS container, or accelerator needed.
 > *Installation* instead.
 
 ```bash
-git clone --recursive https://github.com/AI-ModCon/BaseMM_PRISM.git
-cd BaseMM_PRISM
+git clone --recursive https://github.com/AI-ModCon/PRISM.git
+cd PRISM
 
 python -m venv .venv && source .venv/bin/activate
 pip install -r requirements/base.txt
@@ -344,7 +344,7 @@ Full reference, including the export key-renaming and the serving flags:
 ## Project structure
 
 ```
-BaseMM_PRISM/
+PRISM/
 ├── src/
 │   ├── train.py                # Hydra entry point
 │   ├── model.py                # UnifiedTransformer

docs/getting-started.md

@@ -12,8 +12,8 @@ PRISM vendors the Walrus geometry encoder as a git submodule, so clone
 recursively:
 
 ```bash
-git clone --recursive https://github.com/AI-ModCon/BaseMM_PRISM.git
-cd BaseMM_PRISM
+git clone --recursive https://github.com/AI-ModCon/PRISM.git
+cd PRISM
 ```
 
 If you already cloned without `--recursive`:

docs/platforms/aurora_operations.md

@@ -45,7 +45,7 @@ cat $PBS_NODEFILE
 Open a new terminal on the UAN and run:
 
 ```bash
-cd /lus/flare/projects/ModCon/ngetty/BaseMM_PRISM
+cd /lus/flare/projects/<project>/<user>/PRISM
 
 # Quick test (5 steps, 1B model):
 python tools/launch_aurora_web.py \

docs/platforms/running_on_polaris.md

@@ -22,8 +22,8 @@ counterpart to [Aurora operations](aurora_operations.md).
 ```bash
 ssh polaris
 cd /eagle/ModCon/ngetty/repos
-git clone git@github.com:AI-ModCon/BaseMM_PRISM.git    # or rsync from Aurora
-cd BaseMM_PRISM
+git clone git@github.com:AI-ModCon/PRISM.git    # or rsync from Aurora
+cd PRISM
 
 # Build the venv on top of the conda base module (uses uv if available)
 PRISM_VENV=/eagle/ModCon/ngetty/envs/.venv-polaris \
@@ -98,7 +98,7 @@ recommended layout:
   datasets/<dataset>/shards/*.tar
   models/<hf-org--hf-model>/         # HF snapshot dirs
   envs/.venv-polaris/                # built by setup_polaris_env.sh
-  repos/BaseMM_PRISM/                # checkout
+  repos/PRISM/                       # checkout
   logs/<DESIGN>/                     # PBS stdout/stderr
 ```
 
@@ -206,7 +206,7 @@ Training Zone A: 100%|██████| 30/30 [00:31<00:00, 1.02s/it, loss=8.9
   `from src.X` imports resolve. Aurora launchers don't need this
   because their per-rank shell isn't `-l`.
 - **rsync `--exclude='data'` is too greedy.** It matches both the
-  intended repo-root `BaseMM_PRISM/data` AND `BaseMM_PRISM/src/data`.
+  intended repo-root `PRISM/data` AND `PRISM/src/data`.
   Use anchored excludes (`--exclude='/data'`) when staging the repo
   to Polaris.
 - **Outbound network is via proxy.** Set

pyproject.toml

@@ -102,10 +102,10 @@ data = [
 ]
 
 [project.urls]
-Homepage = "https://github.com/AI-ModCon/BaseMM_PRISM"
-Repository = "https://github.com/AI-ModCon/BaseMM_PRISM"
-Issues = "https://github.com/AI-ModCon/BaseMM_PRISM/issues"
-Documentation = "https://github.com/AI-ModCon/BaseMM_PRISM/tree/main/docs"
+Homepage = "https://github.com/AI-ModCon/PRISM"
+Repository = "https://github.com/AI-ModCon/PRISM"
+Issues = "https://github.com/AI-ModCon/PRISM/issues"
+Documentation = "https://github.com/AI-ModCon/PRISM/tree/main/docs"
 
 [project.scripts]
 prism = "src.cli:app"

src/conf/model/prism_olmo1b_linear_interleaved_ts.yaml

@@ -2,7 +2,7 @@ backbone_id: allenai/OLMo-1B-0724-hf
 # Custom tokenizer with interleaving tokens added.
 # Placeholder path — set to wherever you've built/copied this tokenizer
 # (see PRISM_OLMO1B_INTERLEAVED_TOKENIZER default in src/config.py).
-tokenizer_id: "/flare/<project>/<user>/BaseMM_PRISM/tokenizers/prism-olmo-1b-interleaved"
+tokenizer_id: "/flare/<project>/<user>/PRISM/tokenizers/prism-olmo-1b-interleaved"
 
 modalities: [text,time_series]
 

src/conf/model/prism_olmo3_7b_instruct_linear_interleaved_ts.yaml

@@ -1,7 +1,7 @@
 backbone_id: allenai/Olmo-3-7B-Instruct
 # Custom tokenizer with interleaving tokens added.
 # Placeholder path — set to wherever you've built/copied this tokenizer.
-tokenizer_id: "/flare/<project>/<user>/BaseMM_PRISM/tokenizers/prism-olmo-3-7b-instruct-interleaved"
+tokenizer_id: "/flare/<project>/<user>/PRISM/tokenizers/prism-olmo-3-7b-instruct-interleaved"
 
 modalities: [text,time_series]
 

src/conf/model/prism_olmo7b_linear_interleaved_ts.yaml

@@ -4,7 +4,7 @@ backbone_id: allenai/OLMo-7B-0724-hf
 # Custom tokenizer with interleaving tokens added.
 # Placeholder path — set to wherever you've built/copied this tokenizer
 # (see PRISM_OLMO1B_INTERLEAVED_TOKENIZER default in src/config.py).
-tokenizer_id: "/flare/<project>/<user>/BaseMM_PRISM/tokenizers/prism-olmo-1b-interleaved"
+tokenizer_id: "/flare/<project>/<user>/PRISM/tokenizers/prism-olmo-1b-interleaved"
 
 modalities: [text,time_series]
 

src/config.py

@@ -543,7 +543,7 @@ def from_preset(cls, preset_name: str):
             "PRISM_OLMO1B_INTERLEAVED_TOKENIZER",
             # Custom tokenizer with interleaving tokens added; build it with
             # the committed tokenizers/ directory, or point this at your own path.
-            "/flare/<project>/<user>/BaseMM_PRISM/tokenizers/prism-olmo-1b-interleaved",
+            "/flare/<project>/<user>/PRISM/tokenizers/prism-olmo-1b-interleaved",
         ),
         "modalities": ["text", "time_series"],
         "freeze_backbone": True,
@@ -566,7 +566,7 @@ def from_preset(cls, preset_name: str):
             "PRISM_OLMO1B_INTERLEAVED_TOKENIZER",
             # Custom tokenizer with interleaving tokens added; build it with
             # the committed tokenizers/ directory, or point this at your own path.
-            "/flare/<project>/<user>/BaseMM_PRISM/tokenizers/prism-olmo-1b-interleaved",
+            "/flare/<project>/<user>/PRISM/tokenizers/prism-olmo-1b-interleaved",
         ),
         "modalities": ["text", "time_series"],
         "freeze_backbone": True,
@@ -589,7 +589,7 @@ def from_preset(cls, preset_name: str):
             "PRISM_OLMO1B_INTERLEAVED_TOKENIZER",
             # Custom tokenizer with interleaving tokens added; build it with
             # the committed tokenizers/ directory, or point this at your own path.
-            "/flare/<project>/<user>/BaseMM_PRISM/tokenizers/prism-olmo-1b-interleaved",
+            "/flare/<project>/<user>/PRISM/tokenizers/prism-olmo-1b-interleaved",
         ),
         "modalities": ["text", "time_series"],
         "freeze_backbone": True,

tests/test_scits_fix_static.py

@@ -455,7 +455,7 @@ def test_no_user_specific_hub_paths_in_model_configs():
 
     Tokenizer paths under a project dir are still allowed: the interleaved TS
     configs legitimately point at custom tokenizers checked in under
-    /flare/ModCon/<user>/BaseMM_PRISM/tokenizers/.
+    /flare/<project>/<user>/PRISM/tokenizers/.
     """
     offenders = []
     for cfg in sorted((REPO_ROOT / "src" / "conf" / "model").glob("*.yaml")):

tools/ci/site_path_allowlist.json

@@ -20,7 +20,7 @@
     "docs/modalities/image_decoder/docci_data.md": 3,
     "docs/modalities/timeseries.md": 6,
     "docs/models/auroragpt_vlm.md": 1,
-    "docs/platforms/aurora_operations.md": 4,
+    "docs/platforms/aurora_operations.md": 3,
     "docs/platforms/daos_setup.md": 10,
     "docs/platforms/running_on_polaris.md": 8,
     "docs/results/patrick_tsqa_ab.md": 3,
@@ -50,7 +50,7 @@
     "tools/isoflop_collect.py": 1,
     "tools/isoflop_launch.py": 1,
     "tools/isoflop_plan.py": 4,
-    "tools/launch_aurora.py": 3,
+    "tools/launch_aurora.py": 2,
     "tools/launch_aurora_daos.py": 2,
     "tools/launch_aurora_web.py": 1,
     "tools/launch_baremetal.py": 2,

tools/launch_aurora.py

@@ -56,7 +56,10 @@ def main():
     env_config = load_dotenv()
 
     # Defaults from .env or hardcoded fallbacks
-    default_prism_dir = env_config.get("PRISM_DIR", "/flare/ModCon/ngetty/BaseMM_PRISM")
+    # Fall back to the checkout this launcher lives in, not a hardcoded user path.
+    default_prism_dir = env_config.get(
+        "PRISM_DIR", os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+    )
     default_hf_home = env_config.get("HF_HOME", "/flare/ModCon/sandeep")
     env_config.get("PROJECT_ALLOCATION", "ModCon")
     env_config.get("QUEUE_NAME", "debug")

tools/launch_polaris.py

@@ -239,7 +239,7 @@ def main() -> int:
         env_config = load_dotenv()
 
     # When --prism-dir isn't given, prefer the launcher's own location over
-    # cwd. That way `ssh polaris "cd /eagle/.../BaseMM_PRISM && \
+    # cwd. That way `ssh polaris "cd /eagle/.../PRISM && \
     # python tools/launch_polaris.py ..."` Just Works from a different host.
     if args.prism_dir:
         prism_dir = args.prism_dir