Update convert_grok.py to use logging module

Author: mofosyne

convert_grok.py

@@ -34,6 +34,8 @@
 
 import gguf
 
+logger = logging.getLogger("convert_grok")
+
 GGML_QK8_0 = 32
 GGML_QK4_0 = 32
 GGML_QK4_1 = 32
@@ -214,7 +216,7 @@ def dump_state_dict(f, ggml_type, input_dir, config):
             tensor_ggml_type,
         )
         weights[name] = weight, scales
-    print("Loaded", len(weight_names), "files")
+    logger.info("Loaded", len(weight_names), "files")
 
     f.write_header_to_file()
     f.write_kv_data_to_file()
@@ -230,7 +232,7 @@ def dump_state_dict(f, ggml_type, input_dir, config):
         _, tensor_ggml_type = get_dtype_and_ggml_type(tensor, ggml_type)
         array = maybe_quantize_tensor(tensor, tensor_ggml_type).numpy()
 
-        print(
+        logger.debug(
             f"dumping {name}:",
             f"{tensor_ggml_type.name}/{array.dtype}, {list(tensor.shape)}, {array.nbytes} bytes",
         )
@@ -239,12 +241,12 @@ def dump_state_dict(f, ggml_type, input_dir, config):
         tensor_info.append((name, list(tensor.shape), tensor_ggml_type.name))
 
     try:
-        print(tabulate(tensor_info, headers=["name", "shape", "dtype"], tablefmt="psql"))
+        print(tabulate(tensor_info, headers=["name", "shape", "dtype"], tablefmt="psql")) # noqa: NP100
     except NameError:
         pass
 
     if len(tensor_info) != len(weight_names):
-        print("Warning: not all tensors are converted")
+        logger.warning("Not all tensors are converted")
 
 
 def from_numpy(array):
@@ -377,7 +379,7 @@ def ffn_size(emb_size, widening_factor):
     config.num_experts = len(config.experts)
 
     assert config.num_experts >= 2, "need at least 2 experts"
-    print("experts to export:", config.experts)
+    logger.info("experts to export:", config.experts)
 
     f = gguf.GGUFWriter(args.save_path, "grok", endianess=gguf.GGUFEndian.LITTLE)
 
@@ -409,12 +411,12 @@ def ffn_size(emb_size, widening_factor):
 
     delta = time.time() - start
 
-    print(f"grok GGUF model saved to {args.save_path}. Total time {delta:.2f} sec")
+    logger.info(f"grok GGUF model saved to {args.save_path}. Total time {delta:.2f} sec")
 
 
 def load_vocab(path):
     def load_spm(p):
-        print(f"Loading vocab file {p}")
+        logger.info(f"Loading vocab file {p}")
         return SentencePieceVocab(p)
 
     # Be extra-friendly and accept either a file or a directory.  Also, if it's
@@ -445,8 +447,12 @@ def main():
     )
     parser.add_argument("--vocab_dir", type=str, default="")
     parser.add_argument("--experts", type=str, default="")
+    parser.add_argument("--verbose", action="store_true", help="increase output verbosity")
+
     args = parser.parse_args()
 
+    logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
+    
     vocab = load_vocab(
         pathlib.Path(args.vocab_dir) if args.vocab_dir else pathlib.Path(args.input_dir)
     )