Add additional asserts and update post training readme (#1300)

* add asserts and fix post training readme

* precommit

---------

Co-authored-by: Quentin Anthony <[email protected]>

Author: AI-WAIFU

megatron/training.py

@@ -406,6 +406,9 @@ def get_batch(neox_args, data_iterator):
             datatype=datatype,
         )
     elif neox_args.train_impl == "kto":
+        assert (
+            neox_args.train_micro_batch_size_per_gpu > 1
+        ), "For KTO training, the train_micro_batch_size_per_gpu must be greater than 1."
         tup = _get_batch(
             neox_args=neox_args,
             tokenizer=neox_args.tokenizer,
@@ -459,6 +462,13 @@ def get_batch(neox_args, data_iterator):
 
 def get_batch_pipe(data, neox_args, curr_scheduler=None):
     """A modification of get_batch() to work with the latest batch instead of an iterator."""
+
+    assert neox_args.train_impl not in [
+        "kto",
+        "dpo",
+        "rm",
+    ], "Pipeline parallel is currently unsupported when using any of kto, dpo, rm. Set pipe_parallel_size to 0"
+
     # Items and their type.
     keys = ["text", "label"] if neox_args.train_label_data_paths else ["text"]
     datatype = torch.int64

post-training/README.md

@@ -34,15 +34,13 @@ python tools/datasets/preprocess_data_with_chat_template.py --input data/pairwis
 
 ## SFT data
 ```bash
-python post-training/llama_dpo_data.py
 python tools/datasets/preprocess_data_with_chat_template.py --input data/sft/llama3_sft_train_filtered.jsonl --output-prefix data/sft/llama3_train --tokenizer-path checkpoints/neox_converted/llama3-8b-instruct/tokenizer --jsonl-keys messages
 python tools/datasets/preprocess_data_with_chat_template.py --input data/sft/llama3_sft_test_filtered.jsonl --output-prefix data/sft/llama3_test --tokenizer-path checkpoints/neox_converted/llama3-8b-instruct/tokenizer --jsonl-keys messages
 python tools/datasets/preprocess_data_with_chat_template.py --input data/sft/llama3_sft_train_filtered.jsonl --output-prefix data/sft/llama3_val --tokenizer-path checkpoints/neox_converted/llama3-8b-instruct/tokenizer --jsonl-keys messages
 ```
 
 ## KTO data
 ```bash
-python post-training/llama_dpo_data.py
 python tools/datasets/preprocess_data_with_chat_template.py --input data/kto/llama3_sft_train_filtered.jsonl --output-prefix data/kto/llama3_train --tokenizer-path checkpoints/neox_converted/llama3-8b-instruct/tokenizer --jsonl-keys messages --reward-key reward
 python tools/datasets/preprocess_data_with_chat_template.py --input data/kto/llama3_sft_test_filtered.jsonl --output-prefix data/kto/llama3_test --tokenizer-path checkpoints/neox_converted/llama3-8b-instruct/tokenizer --jsonl-keys messages --reward-key reward
 python tools/datasets/preprocess_data_with_chat_template.py --input data/kto/llama3_sft_train_filtered.jsonl --output-prefix data/kto/llama3_val --tokenizer-path checkpoints/neox_converted/llama3-8b-instruct/tokenizer --jsonl-keys messages --reward-key reward