Upload rl_code/verl/models/monkey_patch.py with huggingface_hub

rl_code/verl/models/monkey_patch.py

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+# Copyright 2024 Bytedance Ltd. and/or its affiliates
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+from transformers.modeling_utils import ALL_ATTENTION_FUNCTIONS
+
+from ..utils.py_functional import is_transformers_version_greater_than
+from .transformers.flash_attention_utils import flash_attention_forward
+from .transformers.qwen2_vl import (
+    qwen2_vl_attn_forward,
+    qwen2_vl_base_forward_new,
+    qwen2_vl_forward_new,
+    qwen2_vl_forward_old,
+)
+
+
+def apply_ulysses_patch(model_type: str) -> None:
+    if model_type in ("llama", "gemma", "gemma2", "mistral", "qwen2", "qwen3", "qwen3_moe"):
+        ALL_ATTENTION_FUNCTIONS["flash_attention_2"] = flash_attention_forward
+    elif model_type in ("qwen2_vl", "qwen2_5_vl"):
+        if is_transformers_version_greater_than("4.53.0"):
+            from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import Qwen2_5_VLAttention
+            from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLAttention
+
+            Qwen2VLAttention.forward = qwen2_vl_attn_forward
+            Qwen2_5_VLAttention.forward = qwen2_vl_attn_forward
+            raise NotImplementedError("Transformers 4.53.* is not compatible with Qwen2-VL models.")
+        else:
+            from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import Qwen2_5_VLFlashAttention2
+            from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLFlashAttention2
+
+            Qwen2VLFlashAttention2.forward = qwen2_vl_attn_forward
+            Qwen2_5_VLFlashAttention2.forward = qwen2_vl_attn_forward
+
+        if is_transformers_version_greater_than("4.52.0"):
+            from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import (
+                Qwen2_5_VLForConditionalGeneration,
+                Qwen2_5_VLModel,
+            )
+            from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLForConditionalGeneration, Qwen2VLModel
+
+            Qwen2VLModel.forward = qwen2_vl_base_forward_new
+            Qwen2_5_VLModel.forward = qwen2_vl_base_forward_new
+            Qwen2VLForConditionalGeneration.forward = qwen2_vl_forward_new
+            Qwen2_5_VLForConditionalGeneration.forward = qwen2_vl_forward_new
+        else:
+            from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import Qwen2_5_VLForConditionalGeneration
+            from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLForConditionalGeneration
+
+            Qwen2VLForConditionalGeneration.forward = qwen2_vl_forward_old
+            Qwen2_5_VLForConditionalGeneration.forward = qwen2_vl_forward_old
+    else:
+        raise NotImplementedError(f"Model architecture {model_type} is not supported yet.")