[Kernel] Marlin Expansion: Support AutoGPTQ Models with Marlin (#3922)

Co-authored-by: alexm <alexm@neuralmagic.com>
Co-authored-by: mgoin <michael@neuralmagic.com>

tests/models/utils.py

@@ -0,0 +1,29 @@
+def check_logprobs_close(outputs_0_lst, outputs_1_lst, name_0, name_1):
+    """Compare the logprobs of two sequences generated by different models, 
+    which should be similar but not necessarily equal.
+    """
+    # Loop through responses to each prompt.
+    for prompt_idx, (outputs_0,
+                     outputs_1) in enumerate(zip(outputs_0_lst,
+                                                 outputs_1_lst)):
+        output_ids_0, output_str_0, logprobs_0 = outputs_0
+        output_ids_1, output_str_1, logprobs_1 = outputs_1
+
+        # Loop through generated tokens.
+        for idx, (output_id_0,
+                  output_id_1) in enumerate(zip(output_ids_0, output_ids_1)):
+
+            # If generated tokens don't match, then
+            if output_id_0 != output_id_1:
+                # Each predicted token must be in top N logprobs of the other
+                assert output_id_0 in logprobs_1[idx], (
+                    f"Test{prompt_idx}:"
+                    f"\n{name_0}:\t{output_str_0!r}"
+                    f"\n{name_1}:\t{output_str_1!r}")
+                assert output_id_1 in logprobs_0[idx], (
+                    f"Test{prompt_idx}:"
+                    f"\n{name_0}:\t{output_str_0!r}"
+                    f"\n{name_1}:\t{output_str_1!r}")
+
+                # Break out since sequences will now diverge.
+                break