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52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""tune_cublaslt_gemm"""
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import paddle
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from fastdeploy.utils import llm_logger as logger
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def tune_cublaslt_int8_gemm(
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ns: list,
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ks: list,
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m_min: int = 32,
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m_max: int = 32768,
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dtype="int8",
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is_test=True,
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is_read_from_file=False,
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path="./cublaslt_gemm_search.csv",
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):
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"""
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tune cublaslt int8 gemm performance
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"""
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K_tensor = paddle.to_tensor(ks)
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N_tensor = paddle.to_tensor(ns)
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try:
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from fastdeploy.model_executor.ops.gpu import tune_cublaslt_gemm
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except ImportError:
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logger.warning("From fastdeploy.model_executor.ops.gpu import tune_cublaslt_gemm Failed!")
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return
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tune_cublaslt_gemm(
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K_tensor,
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N_tensor,
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m_min,
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m_max,
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dtype,
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is_test,
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is_read_from_file,
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path,
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)
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