Environment Variables

MindSpore environment variables are as follows:

Environment Variable	Module	Function	Type	Value Range	Configuration Relationship	Mandatory or Not	Default Value
MS_BUILD_PROCESS_NUM	MindSpore	Specifies the number of parallel operator build processes during Ascend backend compilation.	Integer	The number of parallel operator build processes ranges from 1 to 24.	None	Optional(Only Ascend backend)	None
MS_COMPILER_CACHE_PATH	MindSpore	MindSpore compile cache directory and save the graph or operator cache files like graph_cache,kernel_meta,somas_meta.	String	File path, which can be a relative path or an absolute path.	None	Optional	None
MS_COMPILER_CACHE_ENABLE	MindSpore	Specifies whether to save or load the cache of the graph compiled by front-end. The function is the same as the enable_compile_cache in MindSpore context. Note: This environment variable has lower precedence than the context enable_compile_cache.	Integer	0: Disable the compile cache 1: Enable the compile cache	If it is used together with MS_COMPILER_CACHE_PATH, the directory for storing the cache files is ${MS_COMPILER_CACHE_PATH}/rank_${RANK_ID}/graph_cache/. RANK_ID is the unique ID for multi-cards training, the single card scenario defaults to RANK_ID=0.	Optional	None
MS_COMPILER_OP_LEVEL	MindSpore	Generate the TBE instruction mapping file during Ascend backend compilation	Integer	The value of compiler op level should be one of [0, 1, 2, 3, 4]. 0: Turn off op debug and delete op compile cache files; 1: Turn on debug, generate the *.cce and *_loc.json; 2: Turn on debug, generate the *.cce and *_loc.json files and turn off the compile optimization switch(The CCEC compiler option is set to -O0-g) at the same time; 3: Turn off op debug; 4: Turn off op debug, generate the *.cce and *_loc.json files, generate UB fusion calculation description files({$kernel_name}_compute.json) for fusion ops	None	Optional(Only Ascend backend)	None
MS_DEV_DISABLE_PREBUILD	MindSpore	Turn off operator prebuild processes during Ascend backend compilation. The prebuild processing may fix the attr fusion_type of the operate, and then affect the operator fusion. If the performance of fusion operator can not meet the expectations, try to turn on this environment variable to verify if there is the performance problem of fusion operator.	Boolean	true:turn off prebuild, false: enable prebuild	None	Optional(Only Ascend backend)	None
MS_GRAPH_KERNEL_FLAGS	MindSpore	Control options of graph kernel fusion, it can be used to open or close the graph kernel fusion, supports fine-tune of several optimizations in graph kernel fusion and supports dumping the fusion process, which is helpful in problems location and performance tuning. Note: This environment variable is deprecated from version 1.6 and will be removed in a future version, use the context instead.	String	Refer to the value setting of graph_kernel_flags in mindspore/context.py Note: The priority of environment variables is higher than context, that is, if both environment variables and context are set at the same time, only the settings in the environment variables will take effect.	None	Optional	None
RANK_TABLE_FILE	MindSpore	Specifies the file to which a path points, including DEVICE_IPs corresponding to multiple Ascend AI Processor DEVICE_IDs.	String	File path, which can be a relative path or an absolute path.	This variable is used together with RANK_SIZE.	Optional (when the Ascend AI Processor is used, specified by user when a distributed case is executed)	None
RANK_SIZE	MindSpore	Specifies the number of Ascend AI Processors to be called during deep learning.	Integer	The number of Ascend AI Processors to be called ranges from 1 to 8.	This variable is used together with RANK_TABLE_FILE	Optional (when the Ascend AI Processor is used, specified by user when a distributed case is executed)	None
RANK_ID	MindSpore	Specifies the logical ID of the Ascend AI Processor called during deep learning.	Integer	The value ranges from 0 to 7. When multiple servers are running concurrently, DEVICE_IDs in different servers may be the same. RANK_ID can be used to avoid this problem. (RANK_ID = SERVER_ID * DEVICE_NUM + DEVICE_ID)	None	Optional	None
GLOG_v	MindSpore	For details about the function and usage, see GLOG_v	Integer	0-DEBUG 1-INFO 2-WARNING 3-ERROR	None	Optional	2
GLOG_logtostderr	MindSpore	For details about the function and usage, see GLOG_logtostderr	Integer	1:logs are output to the screen 0:logs are output to a file	This variable is used together with GLOG_log_dir	Optional	1
GLOG_log_dir	MindSpore	For details about the function and usage, see GLOG_log_dir	String	File path, which can be a relative path or an absolute path.	This variable is used together with GLOG_logtostderr	Optional	None
GLOG_stderrthreshold	For details about the function and usage, see GLOG_stderrthreshold	Integer	0-DEBUG 1-INFO 2-WARNING 3-ERROR	None	Optional	2
MS_SUBMODULE_LOG_v	MindSpore	For details about the function and usage, see MS_SUBMODULE_LOG_v	Dict{String:Integer…}	LogLevel: 0-DEBUG, 1-INFO, 2-WARNING, 3-ERROR SubModual: COMMON, MD, DEBUG, DEVICE, COMMON, IR…	None	Optional	None
GLOG_log_max	MindSpore	For details about the function and usage, see GLOG_log_max	Integer	>0	None	Optional	50
logger_maxBytes	MindSpore	For details about the function and usage, see logger_maxBytes	Integer	None	None	Optional	52428800
logger_backupCount	For details about the function and usage, see logger_backupCount	Integer	None	None	Optional	30
OPTION_PROTO_LIB_PATH	MindSpore	Specifies the RPOTO dependent library path.	String	File path, which can be a relative path or an absolute path.	None	Optional	None
MS_RDR_ENABLE	MindSpore	Determines whether to enable running data recorder (RDR). If a running exception occurs in MindSpore, the pre-recorded data in MindSpore is automatically exported to assist in locating the cause of the running exception.	Integer	1：enables RDR 0：disables RDR	This variable is used together with MS_RDR_MODE and MS_RDR_PATH.	Optional	None
MS_RDR_MODE	MindSpore	Determines the exporting mode of running data recorder（RDR）.	Integer	1：export data when training process terminates in exceptional scenario 2：export data when training process terminates in both exceptional scenario and normal scenario.	This variable is used together with MS_RDR_ENABLE=1.	Optional	1
MS_RDR_PATH	MindSpore	Specifies the system path for storing the data recorded by running data recorder (RDR).	String	Directory path, which should be an absolute path.	This variable is used together with MS_RDR_ENABLE=1. The final directory for recording data is ${MS_RDR_PATH}/rank_${RANK_ID}/rdr/. RANK_ID is the unique ID for multi-cards training, the single card scenario defaults to RANK_ID=0.	Optional	None
MS_OM_PATH	MindSpore	Specifies the save path for the file(analyze_fail.dat/*.npy) which is dumped if task exception or a compiling graph error occurred. The file will be saved to the path of the_specified_directory/rank_${rank_id}/om/.	String	File path, which can be a relative path or an absolute path.	None	Optional	None
MINDSPORE_DUMP_CONFIG	MindSpore	Specify the path of the configuration file that the cloud-side Dump or the device-side Dump depends on.	String	File path, which can be a relative path or an absolute path.	None	Optional	None
MS_DIAGNOSTIC_DATA_PATH	MindSpore	When the cloud-side Dump is enabled, if the path field is not set or set to an empty string in the Dump configuration file, then “$MS_DIAGNOSTIC_DATA_PATH/debug_dump” is regarded as path. If the path field in configuration file is not empty, it is still used as the path to save Dump data.	String	File path, only absolute path is supported.	This variable is used together with MINDSPORE_DUMP_CONFIG.	Optional	None
MS_ENABLE_CACHE	MindData	Determines whether to enable the cache function for datasets during data processing to accelerate dataset reading and argumentation processing.	String	TRUE: enables the cache function during data processing. FALSE: disables the cache function during data processing.	This variable is used together with MS_CACHE_HOST and MS_CACHE_PORT.	Optional	None
MS_CACHE_HOST	MindData	Specifies the IP address of the host where the cache server is located when the cache function is enabled.	String	IP address of the host where the cache server is located.	This variable is used together with MS_ENABLE_CACHE=TRUE and MS_CACHE_PORT.	Optional	None
MS_CACHE_PORT	MindData	Specifies the port number of the host where the cache server is located when the cache function is enabled.	String	Port number of the host where the cache server is located.	This variable is used together with MS_ENABLE_CACHE=TRUE and MS_CACHE_HOST.	Optional	None
DATASET_ENABLE_NUMA	MindData	Determines whether to enable numa bind feature. Most of time this configuration can improve performance on distribute scenario.	String	True: Enables the numa bind feature.	This variable is used together with libnuma.so.	Optional	None
OPTIMIZE	MindData	Determines whether to optimize the pipeline tree for dataset during data processing. This variable can improve the data processing efficiency in the data processing operator fusion scenario.	String	true: enables pipeline tree optimization. false: disables pipeline tree optimization.	None	Optional	None
ENABLE_MS_DEBUGGER	Debugger	Determines whether to enable Debugger during training.	Boolean	1: enables Debugger. 0: disables Debugger.	This variable is used together with MS_DEBUGGER_HOST and MS_DEBUGGER_PORT.	Optional	None
MS_DEBUGGER_HOST	Debugger	Specifies the IP of the MindInsight Debugger Server.	String	IP address of the host where the MindInsight Debugger Server is located.	This variable is used together with ENABLE_MS_DEBUGGER=1 and MS_DEBUGGER_PORT.	Optional	None
MS_DEBUGGER_PORT	Debugger	Specifies the port for connecting to the MindInsight Debugger Server.	Integer	Port number ranges from 1 to 65536.	This variable is used together with ENABLE_MS_DEBUGGER=1 and MS_DEBUGGER_HOST.	Optional	None
MS_DEBUGGER_PARTIAL_MEM	Debugger	Determines whether to enable partial memory overcommitment. (Memory overcommitment is disabled only for nodes selected on Debugger.)	Boolean	1: enables memory overcommitment for nodes selected on Debugger. 0: disables memory overcommitment for nodes selected on Debugger.	None	Optional	None
GRAPH_OP_RUN	MindSpore	When running the pipeline large network model in task sink mode in graph mode, it may not be able to start as expected due to the limitation of stream resources. This environment variable can specify the execution mode of the graph mode. set this variable to 1, indicating that model will be executed in nontask sink mode which has performance degradation, otherwise executed in task sink mode.	Integer	0: task sink mode. 1: nontask sink mode.	None	Optional	None
GROUP_INFO_FILE	MindSpore	Specify communication group information storage path	String	Communication group information file path, supporting relative path and absolute path.	None	Optional	None
MS_DEV_ENABLE_FALLBACK	MindSpore	Fallback function is enabled when the environment variable is set to a value other than 0.	Integer	1: enables fallback function 0: disables fallback function	None	Optional	1