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Add tune_cublaslt_gemm operator by cublaslt gemm algorithm and generate algo cache file #8799

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Jul 31, 2024
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36 changes: 36 additions & 0 deletions csrc/generation/test_gemm.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,36 @@
# 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.

from paddlenlp_ops import Tune_gemm

M = []
K = []
N = []

# Shape initialization
M.extend(range(1, 4, 1))
M.extend(range(4, 16, 4))
M.extend(range(16, 64, 16))
M.extend(range(64, 256, 32))
M.extend(range(256, 512, 64))
M.extend(range(512, 1024, 128))
M.extend(range(1024, 8193, 1024))
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M看起来不用传list进去,传一个整数值就可以


K.extend([1024, 2048])
N.extend([4096, 8192])

Dtype = "int8"
Path = "./search.csv"

Tune_gemm(M, K, N, Dtype, Path)
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算子名先改成tune_cublaslt_gemm吧,后面再商议个合适的名字,首字母不用大写

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