[LLM] First commit the llm deployment code

scripts/tune_cublaslt_int8_gemm.py

@@ -0,0 +1,45 @@
+# Copyright (c) 2024 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.
+"""tune_cublaslt_gemm"""
+import paddle
+
+from fastdeploy.utils import llm_logger as logger
+
+
+def tune_cublaslt_int8_gemm(
+    ns: list,
+    ks: list,
+    m_min: int = 32,
+    m_max: int = 32768,
+    dtype="int8",
+    is_test=True,
+    is_read_from_file=False,
+    path="./cublaslt_gemm_search.csv",
+):
+    """
+    tune cublaslt int8 gemm performance
+    """
+    K_tensor = paddle.to_tensor(ks)
+    N_tensor = paddle.to_tensor(ns)
+
+    try:
+        from fastdeploy.model_executor.ops.gpu import tune_cublaslt_gemm
+    except ImportError:
+        logger.warning(
+            "From fastdeploy.model_executor.ops.gpu import tune_cublaslt_gemm Failed!"
+        )
+        return
+
+    tune_cublaslt_gemm(K_tensor, N_tensor, m_min, m_max, dtype, is_test,
+                       is_read_from_file, path)