WIP: New python based entry point for containers

.devops/full-cuda.Dockerfile

@@ -30,4 +30,4 @@ ENV LLAMA_CUBLAS=1
 
 RUN make
 
-ENTRYPOINT ["/app/.devops/tools.sh"]
+ENTRYPOINT ["/app/.devops/tools.py"]

.devops/full-rocm.Dockerfile

@@ -41,4 +41,4 @@ ENV CXX=/opt/rocm/llvm/bin/clang++
 
 RUN make
 
-ENTRYPOINT ["/app/.devops/tools.sh"]
+ENTRYPOINT ["/app/.devops/tools.py"]

.devops/full.Dockerfile

@@ -18,4 +18,4 @@ RUN make
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT ["/app/.devops/tools.sh"]
+ENTRYPOINT ["/app/.devops/tools.py"]

.devops/tools.py

@@ -0,0 +1,56 @@
+#!/bin/env python3
+
+import argparse
+import os
+import subprocess as sp
+from glob import glob
+
+parser = argparse.ArgumentParser()
+
+subparsers = parser.add_subparsers(dest='command')
+
+parser.add_argument(
+    '-m', "--model", type=str, required=True,
+    help="Directory containing model file, or model file itself (*.pth, *.pt, *.bin)")
+
+run = subparsers.add_parser("run", help="Run a model previously converted into ggml")
+convert = subparsers.add_parser("convert", help="Convert a llama model into ggml")
+quantize = subparsers.add_parser("quantize", help="Optimize with quantization process ggml")
+allinone = subparsers.add_parser("all-in-one", help="Execute --convert & --quantize")
+server = subparsers.add_parser("server", help="Execute in server mode ex: -m /models/7B/ggml-model-q4_0.bin -c 2048 -ngl 43 -mg 1 --port 8080")
+
+known_args, unknown_args = parser.parse_known_args()
+model_path = known_args.model
+converted_models = glob(os.path.join(model_path, 'ggml-model-*.gguf'))
+
+if known_args.command == 'convert':
+    sp.run(['python3', './convert.py', model_path] + unknown_args, check=True)
+
+if known_args.command == 'run':
+    sp.run(['./main', '-m', model_path] + unknown_args, check=True)
+
+if known_args.command == 'quantize':
+    if not converted_models:
+        print(f"No models ready for quantization found in {model_path}")
+        exit(1)
+    sp.run(['./quantize', converted_models[0]] + unknown_args, check=True)
+
+if known_args.command == 'all-in-one':
+    if not converted_models:
+        sp.run(['python3', './convert.py', model_path], check=True)
+        converted_models = glob(os.path.join(model_path, 'ggml-model-*.gguf'))
+    else:
+        print(
+            f"Converted models found {converted_models}! No need to convert.")
+
+    quantized_models = glob(os.path.join(model_path, f'ggml-model-q*_*.bin'))
+
+    if not quantized_models:
+        sp.run(['./quantize', converted_models[0]] + unknown_args, check=True)
+    else:
+        print(
+            f"Quantized models found {quantized_models}! No need to quantize.")
+if known_args.command == "server":
+   sp.run(['./server', '-m', model_path] + unknown_args, check=True)
+
+exit()