Global Options

This section describes the global options of AOE.

**Table 1** Global options
Option	Description
ip	IP address of the server where the NCS is located.
port	Port number of the server where the NCS is located.
device	Device used for tuning in the operating environment.
buffer_optimize	Whether to enable buffer optimization.
compress_weight_conf	Directory (including the file name) of the compression configuration file. This option is used to enable the compression optimization feature specified in the configuration file to improve network performance.
precision_mode	Precision mode of a network model.
disable_reuse_memory	Memory overcommitment enable.
enable_single_stream	Switch for limiting a model to use only one stream.
aicore_num	Number of AI Cores for model compilation. This option is reserved in the current version. If you need to use this option, retain the default.
fusion_switch_file	Directory (including the file name) of the fusion switch configuration file for graph fusion and UB fusion patterns. You can disable selected fusion patterns in the configuration file.
enable_small_channel	Small channel optimization enable. If it is enabled, performance benefits are generated at the convolutional layers with channel ≤ 4. You are advised to enable this function in inference scenarios.
op_select_implmode	Operator implementation mode. In high-precision mode, Newton's Method and Taylor's Formula is used to improve operator precision (fp16). In high-performance mode, the optimal performance is implemented without affecting the network precision (fp16).
optypelist_for_implmode	Implementation mode of an operator on the optype list. Currently, only the Pooling, SoftmaxV2, LRN, and ROIAlign operators are supported.
enable_scope_fusion_passes	Scope fusion pattern (or scope fusion patterns separated by commas) to take effect during compilation.
op_debug_level	TBE operator debug during operator compilation.
virtual_type	Whether AOE can run on virtual devices generated on Ascend virtual instances.
sparsity	Global sparsity enable.
modify_mixlist	Sets the operators on the mixed precision list.
customize_dtypes	Customizes the computing precision of one or more operators during model building.
framework	Framework of the original network model.
job_type	Tuning mode.
compression_optimize_conf	Configures the path including the name of the model compression configuration file. This option is used to enable the model compression function specified in the configuration file to improve network performance.
init_bypass	Transparently transmits compilation options that are not detectable by the AOE tuning framework and tuning services in the modeling initialization phase. For details about the specific options to be transmitted, see ""Options"" (global-level effective options).

Parent topic: AOE Options