Update benchmark-kernels-with-without.py

benchmark-kernels-with-without.py

@@ -1,11 +1,10 @@
-import os; os.environ["CUDA_VISIBLE_DEVICES"]="0"
+import os; os.environ["CUDA_VISIBLE_DEVICES"]="3"
 
 import torch
 from torch.utils import benchmark
 from transformers import AutoTokenizer, AutoModelForCausalLM, Mxfp4Config
 
-def load_model(use_kernels):
-    model_id = "openai/gpt-oss-20b"
+def load_model(use_kernels, model_id):
     quantization_config = Mxfp4Config(dequantize=True)
     model = AutoModelForCausalLM.from_pretrained(
         model_id,
@@ -28,9 +27,9 @@ def generate(model, model_inputs, max_new_tokens):
         )
 
 if __name__ == "__main__":
+    model_id = "openai/gpt-oss-20b"
     results = []
     max_new_tokens = 256
-    batch_size = 256
     base_prompts = [
         "What is Tensor Parallelism?",
         "Explain machine learning fundamentals.",
@@ -43,8 +42,8 @@ if __name__ == "__main__":
     ]
 
     for use_kernels in [True, False]:
-        model = load_model(use_kernels)
-        for batch_size in [32, 64, 128, 256]:
+        model = load_model(use_kernels, model_id)
+        for batch_size in [32, 64, 128]:
             messages = [
                 [{"role": "system", "content": base_prompts[i % len(base_prompts)]}] for i in range(batch_size)
             ]
@@ -65,7 +64,7 @@ if __name__ == "__main__":
                     globals={"model": model, "model_inputs": inputs, "max_new_tokens": max_new_tokens},
                     num_threads=torch.get_num_threads(),
                     label=label,
-                    sub_label=f"num tokens: {max_new_tokens} batch size: {batch_size}",
+                    sub_label=f"num tokens gen: {max_new_tokens} batch size: {batch_size}",
                     description=f"use kernels: {use_kernels}"
                 ).timeit(5)
             )
@@ -79,12 +78,11 @@ if __name__ == "__main__":
     compare.print()
 
 
-# [---------------------------- time taken to generate ----------------------------]
-#                                        |  use kernels: True  |  use kernels: False
-# 12 threads: ----------------------------------------------------------------------
-#       num tokens: 256 batch size: 32   |         12.7        |          9.1       
-#       num tokens: 256 batch size: 64   |         12.7        |         10.0       
-#       num tokens: 256 batch size: 128  |         12.8        |         13.9       
-#       num tokens: 256 batch size: 256  |         15.0        |         21.2       
+# [------------------------------ time taken to generate ------------------------------]
+#                                            |  use kernels: True  |  use kernels: False
+# 64 threads: --------------------------------------------------------------------------
+#       num tokens gen: 256 batch size: 32   |         11.9        |         58.2       
+#       num tokens gen: 256 batch size: 64   |         12.6        |        113.5       
+#       num tokens gen: 256 batch size: 128  |         16.6        |        224.0       
 
 # Times are in seconds (s).