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Change-Id: I06185d852d11cf93c90903db762b8cb5ad42b036
sophgo · Mar 28, 2024 · 44a72ca · 44a72ca
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diff --git a/docs/developer_manual/source_en/03_user_interface.rst b/docs/developer_manual/source_en/03_user_interface.rst
@@ -374,7 +374,7 @@ Convert the mlir file into the corresponding model, the parameters are as follow
      - to keep all intermediate files for debug
    * - core
      - N
-     - When the target is selected as bm1688 or cv186x, it is used to select the number of tpu cores for parallel computing, and the default setting is 1 tpu core
+     - When the target is selected as bm1688, it is used to select the number of tpu cores for parallel computing, and the default setting is 1 tpu core
    * - asymmetric
      - N
      - Do INT8 asymmetric quantization

diff --git a/docs/developer_manual/source_zh/03_user_interface.rst b/docs/developer_manual/source_zh/03_user_interface.rst
@@ -464,7 +464,7 @@ model_deploy.py
      - 是否保留中间文件
    * - core
      - 否
-     - 当target选择为bm1688或cv186x时,用于选择并行计算的tpu核心数量,默认设置为1个tpu核心
+     - 当target选择为bm1688时,用于选择并行计算的tpu核心数量,默认设置为1个tpu核心
    * - asymmetric
      - 否
      - 指定做int8非对称量化

diff --git a/docs/quick_start/source_en/03_onnx.rst b/docs/quick_start/source_en/03_onnx.rst
@@ -211,7 +211,7 @@ The main parameters of ``model_deploy`` are as follows (for a complete introduct
      - Name of output model file (including path)
    * - num_core
      - N
-     - When the target is selected as bm1688 or cv186x, it is used to select the number of tpu cores for parallel computing, and the default setting is 1 tpu core
+     - When the target is selected as bm1688, it is used to select the number of tpu cores for parallel computing, and the default setting is 1 tpu core
    * - skip_validation
      - N
      - Skip bmodel correctness verification to boost deployment efficiency; bmodel verification is on by default.

diff --git a/docs/quick_start/source_zh/03_onnx.rst b/docs/quick_start/source_zh/03_onnx.rst
@@ -211,7 +211,7 @@ MLIR转F16模型
      - 指定输出的model文件名称和路径
    * - num_core
      - 否
-     - 当target选择为bm1688或cv186x时,用于选择并行计算的tpu核心数量,默认设置为1个tpu核心
+     - 当target选择为bm1688时,用于选择并行计算的tpu核心数量,默认设置为1个tpu核心
    * - skip_validation
      - 否
      - 跳过验证bmodel正确性环节，用于提升模型部署的效率，默认执行bmodel验证。