ASCEND_CACHE_PATH

Description

If you want the files generated during component build and runtime to be flushed to a unified directory, you can set this environment variable to specify the storage path of shared files.

The path name can contain letters, digits, underscores (_), hyphens (-), and periods (.).
Ensure that the specified path exists and is valid. The execution user must have the read, write, and execute permissions on the path.

The following table lists the files in ${ASCEND_CACHE_PATH}.

**Table 1** Paths of shared files flushed to disks
Flushed File	File Content	Priority Specification
${ASCEND_CACHE_PATH}/aoe_data	AOE tuning repository file, which can be shared by multiple servers.	TUNE_BANK_PATH > ASCEND_CACHE_PATH> Default knowledge base path For details about the default knowledge base path, see "Note" in TUNE_BANK_PATH.
${ASCEND_CACHE_PATH}/kernel_cache	Operator build cache file, which can be shared by multiple devices on a server.	The following scenarios provide parameters or APIs for setting the storage path of operator compilation cache files. Their priority is higher than that of the ASCEND_CACHE_PATH environment variable. The details are as follows: Offline model compilation using ATC: Parameter --op_compiler_cache_dir > ASCEND_CACHE_PATH > Default path ($HOME/atc_data) Model build or compilation using AscendCL APIs: Parameter OP_COMPILER_CACHE_DIR in the graph construction API aclgrphBuildInitialize > ASCEND_CACHE_PATH > Default path ($HOME/atc_data) Parameter OP_COMPILER_CACHE_DIR in the aclgrphBuildModel API > ASCEND_CACHE_PATH > Default path ($HOME/atc_data) Parameter ACL_OP_COMPILER_CACHE_DIR in the application build API aclCompileOpt > ASCEND_CACHE_PATH > Default path ($HOME/atc_data) TensorFlow network training or online inference: TF Adapter configuration parameter op_compiler_cache_dir > ASCEND_CACHE_PATH > Default path ($HOME/atc_data) For details about the TF Adapter configuration parameter op_compiler_cache_dir, see: "Session Configuration" > "Session Configuration Parameters" in TF Adapter API (1.x). "npu.global_options" > "Configuration Parameters" in TF Adapter API (2.x).

Example

export ASCEND_CACHE_PATH=/repo/task001/cache

Restrictions

File locking in Linux needs to be supported by the shared storage (such as NFSv4, OceanStor Pacific 9950, and OceanStor Pacific 9550). But if the storage, such as NFSv3, does not support file locking, you are advised to store files to local directories.
In the multi-server scenario, the AI processor model, firmware, driver, and CANN software version on each server must be the same.

Applicability

Atlas training products

Atlas inference products

Atlas A2 training products / Atlas A2 inference products

Atlas A3 training products / Atlas A3 inference products

Atlas 200I/500 A2 inference products

Parent topic: Installation