|
| 1 | +package aws |
| 2 | + |
| 3 | +import ( |
| 4 | + "fmt" |
| 5 | + |
| 6 | + "github.com/hashicorp/terraform-plugin-sdk/v2/helper/schema" |
| 7 | + "github.com/hashicorp/terraform-plugin-sdk/v2/helper/validation" |
| 8 | +) |
| 9 | + |
| 10 | +const ( |
| 11 | + // Sagemaker Algorithm BlazingText |
| 12 | + sageMakerRepositoryBlazingText = "blazingtext" |
| 13 | + // Sagemaker Algorithm DeepAR Forecasting |
| 14 | + sageMakerRepositoryDeepARForecasting = "forecasting-deepar" |
| 15 | + // Sagemaker Algorithm Factorization Machines |
| 16 | + sageMakerRepositoryFactorizationMachines = "factorization-machines" |
| 17 | + // Sagemaker Algorithm Image Classification |
| 18 | + sageMakerRepositoryImageClassification = "image-classification" |
| 19 | + // Sagemaker Algorithm IP Insights |
| 20 | + sageMakerRepositoryIPInsights = "ipinsights" |
| 21 | + // Sagemaker Algorithm k-means |
| 22 | + sageMakerRepositoryKMeans = "kmeans" |
| 23 | + // Sagemaker Algorithm k-nearest-neighbor |
| 24 | + sageMakerRepositoryKNearestNeighbor = "knn" |
| 25 | + // Sagemaker Algorithm Latent Dirichlet Allocation |
| 26 | + sageMakerRepositoryLDA = "lda" |
| 27 | + // Sagemaker Algorithm Linear Learner |
| 28 | + sageMakerRepositoryLinearLearner = "linear-learner" |
| 29 | + // Sagemaker Algorithm Neural Topic Model |
| 30 | + sageMakerRepositoryNeuralTopicModel = "ntm" |
| 31 | + // Sagemaker Algorithm Object2Vec |
| 32 | + sageMakerRepositoryObject2Vec = "object2vec" |
| 33 | + // Sagemaker Algorithm Object Detection |
| 34 | + sageMakerRepositoryObjectDetection = "object-detection" |
| 35 | + // Sagemaker Algorithm PCA |
| 36 | + sageMakerRepositoryPCA = "pca" |
| 37 | + // Sagemaker Algorithm Random Cut Forest |
| 38 | + sageMakerRepositoryRandomCutForest = "randomcutforest" |
| 39 | + // Sagemaker Algorithm Semantic Segmentation |
| 40 | + sageMakerRepositorySemanticSegmentation = "semantic-segmentation" |
| 41 | + // Sagemaker Algorithm Seq2Seq |
| 42 | + sageMakerRepositorySeq2Seq = "seq2seq" |
| 43 | + // Sagemaker Algorithm XGBoost |
| 44 | + sageMakerRepositoryXGBoost = "sagemaker-xgboost" |
| 45 | + // Sagemaker Library scikit-learn |
| 46 | + sageMakerRepositoryScikitLearn = "sagemaker-scikit-learn" |
| 47 | + // Sagemaker Library Spark ML |
| 48 | + sageMakerRepositorySparkML = "sagemaker-sparkml-serving" |
| 49 | + // Sagemaker Repo MXNet Inference |
| 50 | + sageMakerRepositoryMXNetInference = "mxnet-inference" |
| 51 | + // Sagemaker Repo MXNet Inference EIA |
| 52 | + sageMakerRepositoryMXNetInferenceEIA = "mxnet-inference-eia" |
| 53 | + // Sagemaker Repo MXNet Training |
| 54 | + sageMakerRepositoryMXNetTraining = "mxnet-training" |
| 55 | + // Sagemaker Repo PyTorch Inference |
| 56 | + sageMakerRepositoryPyTorchInference = "pytorch-inference" |
| 57 | + // Sagemaker Repo PyTorch Inference EIA |
| 58 | + sageMakerRepositoryPyTorchInferenceEIA = "pytorch-inference-eia" |
| 59 | + // Sagemaker Repo PyTorch Training |
| 60 | + sageMakerRepositoryPyTorchTraining = "pytorch-training" |
| 61 | + // Sagemaker Repo TensorFlow Inference |
| 62 | + sageMakerRepositoryTensorFlowInference = "tensorflow-inference" |
| 63 | + // Sagemaker Repo TensorFlow Inference EIA |
| 64 | + sageMakerRepositoryTensorFlowInferenceEIA = "tensorflow-inference-eia" |
| 65 | + // Sagemaker Repo TensorFlow Training |
| 66 | + sageMakerRepositoryTensorFlowTraining = "tensorflow-training" |
| 67 | +) |
| 68 | + |
| 69 | +// https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html |
| 70 | +var sageMakerPrebuiltImageIDByRegion_Blazing = map[string]string{ |
| 71 | + "ap-east-1": "286214385809", |
| 72 | + "ap-northeast-1": "501404015308", |
| 73 | + "ap-northeast-2": "306986355934", |
| 74 | + "ap-south-1": "991648021394", |
| 75 | + "ap-southeast-1": "475088953585", |
| 76 | + "ap-southeast-2": "544295431143", |
| 77 | + "ca-central-1": "469771592824", |
| 78 | + "cn-north-1": "390948362332", |
| 79 | + "cn-northwest-1": "387376663083", |
| 80 | + "eu-central-1": "813361260812", |
| 81 | + "eu-north-1": "669576153137", |
| 82 | + "eu-west-1": "685385470294", |
| 83 | + "eu-west-2": "644912444149", |
| 84 | + "eu-west-3": "749696950732", |
| 85 | + "me-south-1": "249704162688", |
| 86 | + "sa-east-1": "855470959533", |
| 87 | + "us-east-1": "811284229777", |
| 88 | + "us-east-2": "825641698319", |
| 89 | + "us-gov-west-1": "226302683700", |
| 90 | + "us-west-1": "632365934929", |
| 91 | + "us-west-2": "433757028032", |
| 92 | +} |
| 93 | + |
| 94 | +// https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html |
| 95 | +var sageMakerPrebuiltImageIDByRegion_DeepAR = map[string]string{ |
| 96 | + "ap-east-1": "286214385809", |
| 97 | + "ap-northeast-1": "633353088612", |
| 98 | + "ap-northeast-2": "204372634319", |
| 99 | + "ap-south-1": "991648021394", |
| 100 | + "ap-southeast-1": "475088953585", |
| 101 | + "ap-southeast-2": "514117268639", |
| 102 | + "ca-central-1": "469771592824", |
| 103 | + "cn-north-1": "390948362332", |
| 104 | + "cn-northwest-1": "387376663083", |
| 105 | + "eu-central-1": "495149712605", |
| 106 | + "eu-north-1": "669576153137", |
| 107 | + "eu-west-1": "224300973850", |
| 108 | + "eu-west-2": "644912444149", |
| 109 | + "eu-west-3": "749696950732", |
| 110 | + "me-south-1": "249704162688", |
| 111 | + "sa-east-1": "855470959533", |
| 112 | + "us-east-1": "522234722520", |
| 113 | + "us-east-2": "566113047672", |
| 114 | + "us-gov-west-1": "226302683700", |
| 115 | + "us-west-1": "632365934929", |
| 116 | + "us-west-2": "156387875391", |
| 117 | +} |
| 118 | + |
| 119 | +// https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html |
| 120 | +var sageMakerPrebuiltImageIDByRegion_FactorMachines = map[string]string{ |
| 121 | + "ap-east-1": "286214385809", |
| 122 | + "ap-northeast-1": "351501993468", |
| 123 | + "ap-northeast-2": "835164637446", |
| 124 | + "ap-south-1": "991648021394", |
| 125 | + "ap-southeast-1": "475088953585", |
| 126 | + "ap-southeast-2": "712309505854", |
| 127 | + "ca-central-1": "469771592824", |
| 128 | + "cn-north-1": "390948362332", |
| 129 | + "cn-northwest-1": "387376663083", |
| 130 | + "eu-central-1": "664544806723", |
| 131 | + "eu-north-1": "669576153137", |
| 132 | + "eu-west-1": "438346466558", |
| 133 | + "eu-west-2": "644912444149", |
| 134 | + "eu-west-3": "749696950732", |
| 135 | + "me-south-1": "249704162688", |
| 136 | + "sa-east-1": "855470959533", |
| 137 | + "us-east-1": "382416733822", |
| 138 | + "us-east-2": "404615174143", |
| 139 | + "us-gov-west-1": "226302683700", |
| 140 | + "us-west-1": "632365934929", |
| 141 | + "us-west-2": "174872318107", |
| 142 | +} |
| 143 | + |
| 144 | +// https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html |
| 145 | +var sageMakerPrebuiltImageIDByRegion_LDA = map[string]string{ |
| 146 | + "ap-northeast-1": "258307448986", |
| 147 | + "ap-northeast-2": "293181348795", |
| 148 | + "ap-south-1": "991648021394", |
| 149 | + "ap-southeast-1": "475088953585", |
| 150 | + "ap-southeast-2": "297031611018", |
| 151 | + "ca-central-1": "469771592824", |
| 152 | + "eu-central-1": "353608530281", |
| 153 | + "eu-west-1": "999678624901", |
| 154 | + "eu-west-2": "644912444149", |
| 155 | + "us-east-1": "766337827248", |
| 156 | + "us-east-2": "999911452149", |
| 157 | + "us-gov-west-1": "226302683700", |
| 158 | + "us-west-1": "632365934929", |
| 159 | + "us-west-2": "266724342769", |
| 160 | +} |
| 161 | + |
| 162 | +// https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html |
| 163 | +var sageMakerPrebuiltImageIDByRegion_XGBoost = map[string]string{ |
| 164 | + "ap-east-1": "651117190479", |
| 165 | + "ap-northeast-1": "354813040037", |
| 166 | + "ap-northeast-2": "366743142698", |
| 167 | + "ap-south-1": "720646828776", |
| 168 | + "ap-southeast-1": "121021644041", |
| 169 | + "ap-southeast-2": "783357654285", |
| 170 | + "ca-central-1": "341280168497", |
| 171 | + "cn-north-1": "450853457545", |
| 172 | + "cn-northwest-1": "451049120500", |
| 173 | + "eu-central-1": "492215442770", |
| 174 | + "eu-north-1": "662702820516", |
| 175 | + "eu-west-1": "141502667606", |
| 176 | + "eu-west-2": "764974769150", |
| 177 | + "eu-west-3": "659782779980", |
| 178 | + "me-south-1": "801668240914", |
| 179 | + "sa-east-1": "737474898029", |
| 180 | + "us-east-1": "683313688378", |
| 181 | + "us-east-2": "257758044811", |
| 182 | + "us-gov-west-1": "414596584902", |
| 183 | + "us-west-1": "746614075791", |
| 184 | + "us-west-2": "246618743249", |
| 185 | +} |
| 186 | + |
| 187 | +// https://docs.aws.amazon.com/sagemaker/latest/dg/pre-built-docker-containers-scikit-learn-spark.html |
| 188 | +var sageMakerPrebuiltImageIDByRegion_SparkML = map[string]string{ |
| 189 | + "ap-northeast-1": "354813040037", |
| 190 | + "ap-northeast-2": "366743142698", |
| 191 | + "ap-south-1": "720646828776", |
| 192 | + "ap-southeast-1": "121021644041", |
| 193 | + "ap-southeast-2": "783357654285", |
| 194 | + "ca-central-1": "341280168497", |
| 195 | + "eu-central-1": "492215442770", |
| 196 | + "eu-west-1": "141502667606", |
| 197 | + "eu-west-2": "764974769150", |
| 198 | + "us-east-1": "683313688378", |
| 199 | + "us-east-2": "257758044811", |
| 200 | + "us-gov-west-1": "414596584902", |
| 201 | + "us-west-1": "746614075791", |
| 202 | + "us-west-2": "246618743249", |
| 203 | +} |
| 204 | + |
| 205 | +// https://github.com/aws/deep-learning-containers/blob/master/available_images.md |
| 206 | +var sageMakerPrebuiltImageIDByRegion_DeepLearning = map[string]string{ |
| 207 | + "ap-east-1": "871362719292", |
| 208 | + "ap-northeast-1": "763104351884", |
| 209 | + "ap-northeast-2": "763104351884", |
| 210 | + "ap-south-1": "763104351884", |
| 211 | + "ap-southeast-1": "763104351884", |
| 212 | + "ap-southeast-2": "763104351884", |
| 213 | + "ca-central-1": "763104351884", |
| 214 | + "cn-north-1": "727897471807", |
| 215 | + "cn-northwest-1": "727897471807", |
| 216 | + "eu-central-1": "763104351884", |
| 217 | + "eu-north-1": "763104351884", |
| 218 | + "eu-west-1": "763104351884", |
| 219 | + "eu-west-2": "763104351884", |
| 220 | + "eu-west-3": "763104351884", |
| 221 | + "me-south-1": "217643126080", |
| 222 | + "sa-east-1": "763104351884", |
| 223 | + "us-east-1": "763104351884", |
| 224 | + "us-east-2": "763104351884", |
| 225 | + "us-west-1": "763104351884", |
| 226 | + "us-west-2": "763104351884", |
| 227 | +} |
| 228 | + |
| 229 | +func dataSourceAwsSagemakerPrebuiltImagePath() *schema.Resource { |
| 230 | + return &schema.Resource{ |
| 231 | + Read: dataSourceAwsRdsOrderableDbInstanceRead, |
| 232 | + Schema: map[string]*schema.Schema{ |
| 233 | + "repository_name": { |
| 234 | + Type: schema.TypeString, |
| 235 | + Required: true, |
| 236 | + ValidateFunc: validation.StringInSlice([]string{ |
| 237 | + sageMakerRepositoryBlazingText, |
| 238 | + sageMakerRepositoryDeepARForecasting, |
| 239 | + sageMakerRepositoryFactorizationMachines, |
| 240 | + sageMakerRepositoryImageClassification, |
| 241 | + sageMakerRepositoryIPInsights, |
| 242 | + sageMakerRepositoryKMeans, |
| 243 | + sageMakerRepositoryKNearestNeighbor, |
| 244 | + sageMakerRepositoryLDA, |
| 245 | + sageMakerRepositoryLinearLearner, |
| 246 | + sageMakerRepositoryNeuralTopicModel, |
| 247 | + sageMakerRepositoryObject2Vec, |
| 248 | + sageMakerRepositoryObjectDetection, |
| 249 | + sageMakerRepositoryPCA, |
| 250 | + sageMakerRepositoryRandomCutForest, |
| 251 | + sageMakerRepositorySemanticSegmentation, |
| 252 | + sageMakerRepositorySeq2Seq, |
| 253 | + sageMakerRepositoryXGBoost, |
| 254 | + sageMakerRepositoryScikitLearn, |
| 255 | + sageMakerRepositorySparkML, |
| 256 | + sageMakerRepositoryMXNetInference, |
| 257 | + sageMakerRepositoryMXNetInferenceEIA, |
| 258 | + sageMakerRepositoryMXNetTraining, |
| 259 | + sageMakerRepositoryPyTorchInference, |
| 260 | + sageMakerRepositoryPyTorchInferenceEIA, |
| 261 | + sageMakerRepositoryPyTorchTraining, |
| 262 | + sageMakerRepositoryTensorFlowInference, |
| 263 | + sageMakerRepositoryTensorFlowInferenceEIA, |
| 264 | + sageMakerRepositoryTensorFlowTraining, |
| 265 | + }, false), |
| 266 | + }, |
| 267 | + |
| 268 | + "dns_suffix": { |
| 269 | + Type: schema.TypeString, |
| 270 | + Optional: true, |
| 271 | + }, |
| 272 | + |
| 273 | + "image_tag": { |
| 274 | + Type: schema.TypeString, |
| 275 | + Optional: true, |
| 276 | + Default: "1", |
| 277 | + }, |
| 278 | + |
| 279 | + "region": { |
| 280 | + Type: schema.TypeString, |
| 281 | + Optional: true, |
| 282 | + }, |
| 283 | + |
| 284 | + "registry_id": { |
| 285 | + Type: schema.TypeString, |
| 286 | + Computed: true, |
| 287 | + }, |
| 288 | + |
| 289 | + "registry_path": { |
| 290 | + Type: schema.TypeString, |
| 291 | + Computed: true, |
| 292 | + }, |
| 293 | + }, |
| 294 | + } |
| 295 | +} |
| 296 | + |
| 297 | +func dataSourceAwsSagemakerPrebuiltImagePathRead(d *schema.ResourceData, meta interface{}) error { |
| 298 | + region := meta.(*AWSClient).region |
| 299 | + if v, ok := d.GetOk("region"); ok { |
| 300 | + region = v.(string) |
| 301 | + } |
| 302 | + |
| 303 | + suffix := meta.(*AWSClient).dnsSuffix |
| 304 | + if v, ok := d.GetOk("dns_suffix"); ok { |
| 305 | + suffix = v.(string) |
| 306 | + } |
| 307 | + |
| 308 | + repo := d.Get("repository_name").(string) |
| 309 | + imageTag := d.Get("image_tag").(string) |
| 310 | + |
| 311 | + id := "" |
| 312 | + switch repo { |
| 313 | + case sageMakerRepositoryBlazingText, |
| 314 | + sageMakerRepositoryImageClassification, |
| 315 | + sageMakerRepositoryObjectDetection, |
| 316 | + sageMakerRepositorySemanticSegmentation, |
| 317 | + sageMakerRepositorySeq2Seq: |
| 318 | + id = sageMakerPrebuiltImageIDByRegion_Blazing[region] |
| 319 | + case sageMakerRepositoryDeepARForecasting: |
| 320 | + id = sageMakerPrebuiltImageIDByRegion_DeepAR[region] |
| 321 | + case sageMakerRepositoryLDA: |
| 322 | + id = sageMakerPrebuiltImageIDByRegion_LDA[region] |
| 323 | + case sageMakerRepositoryXGBoost: |
| 324 | + id = sageMakerPrebuiltImageIDByRegion_XGBoost[region] |
| 325 | + case sageMakerRepositoryScikitLearn, sageMakerRepositorySparkML: |
| 326 | + id = sageMakerPrebuiltImageIDByRegion_SparkML[region] |
| 327 | + case sageMakerRepositoryMXNetInference, |
| 328 | + sageMakerRepositoryMXNetInferenceEIA, |
| 329 | + sageMakerRepositoryMXNetTraining, |
| 330 | + sageMakerRepositoryPyTorchInference, |
| 331 | + sageMakerRepositoryPyTorchInferenceEIA, |
| 332 | + sageMakerRepositoryPyTorchTraining, |
| 333 | + sageMakerRepositoryTensorFlowInference, |
| 334 | + sageMakerRepositoryTensorFlowInferenceEIA, |
| 335 | + sageMakerRepositoryTensorFlowTraining: |
| 336 | + id = sageMakerPrebuiltImageIDByRegion_DeepLearning[region] |
| 337 | + default: |
| 338 | + id = sageMakerPrebuiltImageIDByRegion_FactorMachines[region] |
| 339 | + } |
| 340 | + |
| 341 | + if id == "" { |
| 342 | + return fmt.Errorf("no registry ID available for region (%s) and repository (%s)", region, repo) |
| 343 | + } |
| 344 | + |
| 345 | + d.SetId(id) |
| 346 | + d.Set("registry_id", id) |
| 347 | + d.Set("registry_path", dataSourceAwsSagemakerPrebuiltImageCreatePath(id, region, suffix, repo, imageTag)) |
| 348 | + return nil |
| 349 | +} |
| 350 | + |
| 351 | +func dataSourceAwsSagemakerPrebuiltImageCreatePath(id, region, suffix, repo, imageTag string) string { |
| 352 | + return fmt.Sprintf("%s.dkr.ecr.%s.%s/%s:%s", id, region, suffix, repo, imageTag) |
| 353 | +} |
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