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Options: asc: ascending order desc: descending order (default value) process_parameter No String Image resize configuration, which is the same as OBS settings. For details, see Resizing Images.
The {service_id}-infer-result subdirectory in the output_dir directory is used by default. key_sample_output String Output path of hard examples in active learning log_url String OBS URL of the logs of a training job.
This parameter is a container environment variable when a job uses a custom image. log_url No String OBS URL of the logs of a training job. By default, this parameter is left blank.
This parameter is a container environment variable when a job uses a custom image. log_url No String OBS URL of the logs of a training job. By default, this parameter is left blank.
The options are as follows: DIR: Data is exported to OBS (default value).
# Use JobStep to define a training phase, and set OBS paths for storing inputs and outputs. job_step = wf.steps.JobStep( name="training_job", # Name of a training phase.
dataset creation phase are used as the inputs of the labeling phase. from modelarts import workflow as wf # Define parameters of the dataset output path. dataset_output_path = wf.Placeholder(name="dataset_output_path", placeholder_type=wf.PlaceholderType.STR, placeholder_format="obs
Options: true: Preview is supported. false: Preview is not supported. process_parameter No String Image resize configuration, which is the same as OBS settings. For details, see Resizing Images.
OBS path to the output data of a batch job instance_count Yes Integer Common parameter. Number of instances deployed in a model. The maximum number of instances is 128.
# Directories for storing the label.txt file on OBS and in the model package # with open(os.path.join(self.model_path, 'label.txt')) as f: # self.label = json.load(f) # Load the model in saved_model format in non-blocking mode to prevent blocking
Range: SFS EVS OBS OBSFS: parallel file system EFS: SFS Turbo mount_path String Definition: Directory of the notebook instance to which the storage is mounted. Currently, the directory is /home/ma-user/work/. Range: N/A ownership String Definition: Resource owner.
Range: SFS EVS OBS OBSFS: parallel file system EFS: SFS Turbo mount_path String Definition: Directory of the notebook instance to which the storage is mounted. Currently, the directory is /home/ma-user/work/. Range: N/A ownership String Definition: Resource owner.
Range: SFS EVS OBS OBSFS: parallel file system EFS: SFS Turbo mount_path String Definition: Directory of the notebook instance to which the storage is mounted. Currently, the directory is /home/ma-user/work/. Range: N/A ownership String Definition: Resource owner.
# Directories for storing the label.txt file on OBS and in the model package # with open(os.path.join(self.model_path, 'label.txt')) as f: # self.label = json.load(f) # Load the model in saved_model format in non-blocking mode to prevent blocking
Range: SFS EVS OBS OBSFS: parallel file system EFS: SFS Turbo mount_path String Definition: Directory of the notebook instance to which the storage is mounted. Currently, the directory is /home/ma-user/work/. Range: N/A ownership String Definition: Resource owner.
To use the CIFAR-10 dataset in the preceding code, download and decompress the dataset and upload it to the OBS bucket.
Range: SFS EVS OBS OBSFS: parallel file system EFS: SFS Turbo mount_path String Definition: Directory of the notebook instance to which the storage is mounted. Currently, the directory is /home/ma-user/work/. Range: N/A ownership String Definition: Resource owner.
If you need to use the OBS SDK, use ModelArts SDK instead to copy files. For details, see Transferring Files. Image 1: conda3-cuda10.2-cudnn7-ubuntu18.04 Table 12 Information about the image AI Engine Whether to Use GPUs (CUDA Version) URL Dependency None Yes (CUDA 10.2) swr.
When you mount the backend OBS storage on the SFS Turbo page, make sure to set the client's umask permission to 777 for normal use.
sampled __WORKFORCE_SAMPLED_UNCHECK__: sampling pending check __WORKFORCE_SAMPLED_CHECKED__: sampling checked __WORKFORCE_SAMPLED_ACCEPTED__: sampling accepted __WORKFORCE_SAMPLED_REJECTED__: sampling rejected __AUTO_ANNOTATION__: to be confirmed sample_time Long Sample time, when OBS
