|
27 | 27 | AquaRuntimeError, |
28 | 28 | AquaValueError, |
29 | 29 | ) |
30 | | -from ads.aqua.constants import SERVICE_MANAGED_CONTAINER_URI_SCHEME |
| 30 | +from ads.aqua.constants import * |
31 | 31 | from ads.aqua.data import AquaResourceIdentifier |
32 | 32 | from ads.common.auth import AuthState, default_signer |
33 | 33 | from ads.common.extended_enum import ExtendedEnumMeta |
|
39 | 39 |
|
40 | 40 | logger = logging.getLogger("ads.aqua") |
41 | 41 |
|
42 | | -UNKNOWN = "" |
43 | | -UNKNOWN_DICT = {} |
44 | | -README = "README.md" |
45 | | -LICENSE_TXT = "config/LICENSE.txt" |
46 | | -DEPLOYMENT_CONFIG = "deployment_config.json" |
47 | | -COMPARTMENT_MAPPING_KEY = "service-model-compartment" |
48 | | -CONTAINER_INDEX = "container_index.json" |
49 | | -EVALUATION_REPORT_JSON = "report.json" |
50 | | -EVALUATION_REPORT_MD = "report.md" |
51 | | -EVALUATION_REPORT = "report.html" |
52 | | -UNKNOWN_JSON_STR = "{}" |
53 | | -CONSOLE_LINK_RESOURCE_TYPE_MAPPING = dict( |
54 | | - datasciencemodel="models", |
55 | | - datasciencemodeldeployment="model-deployments", |
56 | | - datasciencemodeldeploymentdev="model-deployments", |
57 | | - datasciencemodeldeploymentint="model-deployments", |
58 | | - datasciencemodeldeploymentpre="model-deployments", |
59 | | - datasciencejob="jobs", |
60 | | - datasciencejobrun="job-runs", |
61 | | - datasciencejobrundev="job-runs", |
62 | | - datasciencejobrunint="job-runs", |
63 | | - datasciencejobrunpre="job-runs", |
64 | | - datasciencemodelversionset="model-version-sets", |
65 | | - datasciencemodelversionsetpre="model-version-sets", |
66 | | - datasciencemodelversionsetint="model-version-sets", |
67 | | - datasciencemodelversionsetdev="model-version-sets", |
68 | | -) |
69 | | -FINE_TUNING_RUNTIME_CONTAINER = "iad.ocir.io/ociodscdev/aqua_ft_cuda121:0.3.17.20" |
70 | | -DEFAULT_FT_BLOCK_STORAGE_SIZE = 750 |
71 | | -DEFAULT_FT_REPLICA = 1 |
72 | | -DEFAULT_FT_BATCH_SIZE = 1 |
73 | | -DEFAULT_FT_VALIDATION_SET_SIZE = 0.1 |
74 | | - |
75 | | -HF_MODELS = "/home/datascience/conda/pytorch21_p39_gpu_v1/" |
76 | | -MAXIMUM_ALLOWED_DATASET_IN_BYTE = 52428800 # 1024 x 1024 x 50 = 50MB |
77 | | -JOB_INFRASTRUCTURE_TYPE_DEFAULT_NETWORKING = "ME_STANDALONE" |
78 | | -NB_SESSION_IDENTIFIER = "NB_SESSION_OCID" |
79 | | -LIFECYCLE_DETAILS_MISSING_JOBRUN = "The asscociated JobRun resource has been deleted." |
80 | | -READY_TO_DEPLOY_STATUS = "ACTIVE" |
81 | | -READY_TO_FINE_TUNE_STATUS = "TRUE" |
82 | | -AQUA_GA_LIST = ["id19sfcrra6z"] |
83 | | -AQUA_MODEL_TYPE_SERVICE = "service" |
84 | | -AQUA_MODEL_TYPE_CUSTOM = "custom" |
85 | | - |
86 | 42 |
|
87 | 43 | class LifecycleStatus(str, metaclass=ExtendedEnumMeta): |
88 | 44 | UNKNOWN = "" |
@@ -143,8 +99,6 @@ def get_status(evaluation_status: str, job_run_status: str = None): |
143 | 99 | JobRun.LIFECYCLE_STATE_FAILED: "The evaluation failed.", |
144 | 100 | JobRun.LIFECYCLE_STATE_NEEDS_ATTENTION: "Missing jobrun information.", |
145 | 101 | } |
146 | | -SUPPORTED_FILE_FORMATS = ["jsonl"] |
147 | | -MODEL_BY_REFERENCE_OSS_PATH_KEY = "artifact_location" |
148 | 102 |
|
149 | 103 |
|
150 | 104 | def random_color_generator(word: str): |
|
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