Pin plain NVFP4 build, source, and bounded validation plan

reproducibility/bootstrap_build.sh

@@ -5,7 +5,7 @@ python -m pip install --break-system-packages --no-cache-dir uv
 uv venv --system-site-packages /workspace/agnes/venv
 export PATH="/workspace/agnes/venv/bin:$PATH"
 uv pip install --python /workspace/agnes/venv/bin/python \
-  'torch==2.13.0' 'transformers==5.14.0' 'accelerate==1.12.0' \
+  'torch==2.13.0' 'transformers==5.12.1' 'accelerate==1.12.0' \
   'huggingface_hub==1.18.0' 'pillow>=12' 'sentencepiece>=0.2' 'einops' \
   'nvidia-modelopt @ https://github.com/NVIDIA/Model-Optimizer/archive/5cae3940402f1ced98069a666b0bec72ec8b33b5.tar.gz'
 python - <<'PY'

reproducibility/build.py

@@ -55,6 +55,11 @@ def main():
     REPORT['versions'] = {p:importlib.metadata.version(p) for p in ['torch','transformers','nvidia-modelopt','accelerate']}
     REPORT['hardware'] = [torch.cuda.get_device_name(0)]
     record()
+    from transformers.dynamic_module_utils import get_class_from_dynamic_module
+    source = Path(snapshot_download(SOURCE, revision=REV, allow_patterns=['*.py','config.json'], max_workers=8))
+    cls = get_class_from_dynamic_module('modeling_agnes.AgnesForConditionalGeneration',source)
+    assert cls.__name__ == 'AgnesForConditionalGeneration'
+    print('AGNES_REMOTE_IMPLEMENTATION_IMPORT_PASS',flush=True)
     source = Path(snapshot_download(SOURCE, revision=REV, max_workers=8))
     src_index = json.loads((source/'model.safetensors.index.json').read_text())
     src_map = src_index['weight_map']

reproducibility/dispatch_build.py

@@ -1,5 +1,6 @@
 """One data-free build; hard timeout and a separate bounded Agnes ledger."""
 import json
+import sys
 from pathlib import Path
 from huggingface_hub import HfApi, CommitOperationAdd, get_token
 
@@ -8,7 +9,13 @@ api=HfApi()
 repo='ProCreations/Agnes-3.0-Flash-NVFP4'
 assert api.whoami()['name']=='ProCreations'
 ledger=ROOT/'jobs.jsonl'
-assert not ledger.exists(),'Inspect previous attempts before dispatching again'
+previous=[json.loads(s) for s in ledger.read_text().splitlines()] if ledger.exists() else []
+if previous:
+    assert sys.argv[1:]==['--retry-setup']
+    assert all(api.inspect_job(job_id=r['job_id']).status.stage=='ERROR' for r in previous if r['phase']=='plain-build')
+    assert sum(r['maximum_cost_usd'] for r in previous)+7.5<=40
+else:
+    assert not sys.argv[1:]
 api.create_repo(repo_id=repo,private=True,exist_ok=True)
 assert api.model_info(repo).private
 assert not any(n.endswith('.safetensors') for n in api.list_repo_files(repo))
@@ -48,5 +55,5 @@ job=api.run_job(image='pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel',flavor='h20
     secrets={'HF_TOKEN':get_token()},labels={'project':'agnes-flash-nvfp4','phase':'plain-build'})
 row=dict(job_id=job.id,url=job.url,phase='plain-build',flavor='h200',rate_usd_hour=rate,
          timeout_hours=1.5,maximum_cost_usd=rate*1.5,code_revision=commit.oid)
-ledger.write_text(json.dumps(row)+'\n')
+with ledger.open('a') as f:f.write(json.dumps(row)+'\n')
 print(json.dumps(row))