[LLM] First commit the llm deployment code

fastdeploy/model_executor/layers/sample/ops/__init__.py

@@ -0,0 +1,21 @@
+"""
+# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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 .apply_penalty_multi_scores import apply_penalty_multi_scores
+
+__all__ = [
+    "apply_penalty_multi_scores",
+]

fastdeploy/model_executor/layers/sample/ops/apply_penalty_multi_scores.py

@@ -0,0 +1,56 @@
+"""
+# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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.
+"""
+
+import paddle
+
+from fastdeploy.platforms import current_platform
+
+
+def apply_penalty_multi_scores(
+    prompt_token_ids: paddle.Tensor,
+    logits: paddle.Tensor,
+    repetition_penalties: paddle.Tensor,
+    frequency_penalties: paddle.Tensor,
+    presence_penalties: paddle.Tensor,
+    temperature: paddle.Tensor,
+    bad_words_token_ids: paddle.Tensor,
+    step_idx: paddle.Tensor,
+    min_dec_lens: paddle.Tensor,
+    eos_token_ids: paddle.Tensor,
+):
+    """
+    Args:
+    Returns:
+    """
+    if current_platform.is_cuda():
+        from fastdeploy.model_executor.ops.gpu import \
+            get_token_penalty_multi_scores
+        logits = get_token_penalty_multi_scores(
+            prompt_token_ids,
+            logits,
+            repetition_penalties,
+            frequency_penalties,
+            presence_penalties,
+            temperature,
+            bad_words_token_ids,
+            step_idx,
+            min_dec_lens,
+            eos_token_ids,
+        )
+    else:
+        raise NotImplementedError()
+
+    return logits