Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris. # Jalur Registri Docker dan Kode Contoh untuk Kanada Barat (Calgary) (ca-west-1) Topik berikut mencantumkan parameter untuk masing-masing algoritme dan wadah pembelajaran mendalam yang disediakan oleh Amazon SageMaker AI dalam hal ini Wilayah AWS. **Topics** + [AutoGluon (algoritma)](#autogluon-ca-west-1) + [BlazingText (algoritma)](#blazingtext-ca-west-1) + [DJL DeepSpeed (algoritma)](#djl-deepspeed-ca-west-1) + [Peramalan DeepAR (algoritma)](#forecasting-deepar-ca-west-1) + [Mesin Faktorisasi (algoritma)](#factorization-machines-ca-west-1) + [Hugging Face (algoritma)](#huggingface-ca-west-1) + [Wawasan IP (algoritma)](#ipinsights-ca-west-1) + [Klasifikasi gambar (algoritma)](#image-classification-ca-west-1) + [K-Means (algoritma)](#kmeans-ca-west-1) + [KNN (algoritma)](#knn-ca-west-1) + [Linear Learner (algoritma)](#linear-learner-ca-west-1) + [MXNet (DLC)](#mxnet-ca-west-1) + [NTM (algoritma)](#ntm-ca-west-1) + [Deteksi Objek (algoritma)](#object-detection-ca-west-1) + [Object2Vec (algoritma)](#object2vec-ca-west-1) + [PCA (algoritma)](#pca-ca-west-1) + [PyTorch (DLC)](#pytorch-ca-west-1) + [PyTorch Neuron (DLC)](#pytorch-neuron-ca-west-1) + [PyTorch Kompiler Pelatihan (DLC)](#pytorch-training-compiler-ca-west-1) + [Random Cut Forest (algoritma)](#randomcutforest-ca-west-1) + [Scikit-learn (algoritma)](#sklearn-ca-west-1) + [Segmentasi Semantik (algoritma)](#semantic-segmentation-ca-west-1) + [Seq2Seq (algoritma)](#seq2seq-ca-west-1) + [Spark (algoritma)](#spark-ca-west-1) + [Tensorflow (DLC)](#tensorflow-ca-west-1) + [XGBoost (algoritma)](#xgboost-ca-west-1) ## AutoGluon (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='ca-west-1',image_scope='inference',version='0.4') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 1.3.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 1.3.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 1.2.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 1.2.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 1.1.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 1.1.1 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 1.1.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 1.1.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 1.0.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 1.0.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.8.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.8.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.7.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.7.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.6.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.6.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.6.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.6.1 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.5.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.5.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.4.3 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.4.3 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.4.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.4.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.4.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.4.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.3.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.3.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training: | 0.3.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference: | 0.3.1 | inferensi | ## BlazingText (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/blazingtext: | 1 | inferensi, pelatihan | ## DJL DeepSpeed (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121- | 0.27.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121- | 0.26.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118- | 0.25.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118- | 0.24.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118- | 0.23.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118- | 0.22.1 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117- | 0.21.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116- | 0.20.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113- | 0.19.0 | inferensi | ## Peramalan DeepAR (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/forecasting-deepar: | 1 | inferensi, pelatihan | ## Mesin Faktorisasi (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/factorization-machines: | 1 | inferensi, pelatihan | ## Hugging Face (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='ca-west-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.49.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.49.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.48.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.48.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.46.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.37.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.36.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.28.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.28.1 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.26.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.26.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference: | 4.26.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.17.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training: | 4.17.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.17.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference: | 4.17.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.12.3 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training: | 4.12.3 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.12.3 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference: | 4.12.3 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.11.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training: | 4.11.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.11.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference: | 4.11.0 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training: | 4.6.1 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference: | 4.6.1 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference: | 4.6.1 | inferensi | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.5.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training: | 4.5.0 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training: | 4.4.2 | pelatihan | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training: | 4.4.2 | pelatihan | ## Wawasan IP (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/ipinsights: | 1 | inferensi, pelatihan | ## Klasifikasi gambar (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/image-classification: | 1 | inferensi, pelatihan | ## K-Means (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/kmeans: | 1 | inferensi, pelatihan | ## KNN (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='knn',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/knn: | 1 | inferensi, pelatihan | ## Linear Learner (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/linear-learner: | 1 | inferensi, pelatihan | ## MXNet (DLC) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='ca-west-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | | --- | --- | --- | --- | --- | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training: | 1.9.0 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference: | 1.9.0 | inferensi | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training: | 1.8.0 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference: | 1.8.0 | inferensi | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training: | 1.7.0 | pelatihan | CPU, GPU | py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference: | 1.7.0 | inferensi | CPU, GPU | py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference-eia: | 1.7.0 | eia | CPU | py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training: | 1.6.0 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference: | 1.6.0 | inferensi | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference-eia: | 1.5.1 | eia | CPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training: | 1.4.1 | pelatihan | CPU, GPU | py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference: | 1.4.1 | inferensi | CPU, GPU | py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference-eia: | 1.4.1 | eia | CPU | py2, py3 | ## NTM (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/ntm: | 1 | inferensi, pelatihan | ## Deteksi Objek (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/object-detection: | 1 | inferensi, pelatihan | ## Object2Vec (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/object2vec: | 1 | inferensi, pelatihan | ## PCA (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='pca',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/pca: | 1 | inferensi, pelatihan | ## PyTorch (DLC) Untuk informasi tentang PyTorch versi yang didukung dan tidak didukung, lihat [Tabel Kebijakan Dukungan Framework](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) di *Panduan Pengembang AWS Deep Learning Containers*. Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='ca-west-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | | --- | --- | --- | --- | --- | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.7.1 | pelatihan | CPU, GPU | py312 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 2.6.0 | inferensi | CPU, GPU | py312 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.6.0 | pelatihan | CPU, GPU | py312 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 2.5.1 | inferensi | CPU, GPU | py311 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.5.1 | pelatihan | CPU, GPU | py311 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 2.4.0 | inferensi | CPU, GPU | py311 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton: | 2.4.0 | inferensi\$1graviton | CPU | py311 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.4.0 | pelatihan | CPU, GPU | py311 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 2.3.0 | inferensi | CPU, GPU | py311 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton: | 2.3.0 | inferensi\$1graviton | CPU | py311 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.3.0 | pelatihan | CPU, GPU | py311 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton: | 2.2.1 | inferensi\$1graviton | CPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 2.2.0 | inferensi | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.2.0 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 2.1.0 | inferensi | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton: | 2.1.0 | inferensi\$1graviton | CPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.1.0 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 2.0.1 | inferensi | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton: | 2.0.1 | inferensi\$1graviton | CPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.0.1 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 2.0.0 | inferensi | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton: | 2.0.0 | inferensi\$1graviton | CPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 2.0.0 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.13.1 | inferensi | CPU, GPU | py39 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.13.1 | pelatihan | CPU, GPU | py39 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.12.1 | inferensi | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton: | 1.12.1 | inferensi\$1graviton | CPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.12.1 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.12.0 | inferensi | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.12.0 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.11.0 | inferensi | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.11.0 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.10.2 | inferensi | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.10.2 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.10.0 | inferensi | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.10.0 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.9.1 | inferensi | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.9.1 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.9.0 | inferensi | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.9.0 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.8.1 | inferensi | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.8.1 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.8.0 | inferensi | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.8.0 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.7.1 | inferensi | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.7.1 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.6.0 | inferensi | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.6.0 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-eia: | 1.5.1 | eia | CPU | py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.5.0 | inferensi | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.5.0 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.4.0 | inferensi | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.4.0 | pelatihan | CPU, GPU | py2, py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-eia: | 1.3.1 | eia | CPU | py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.3.1 | inferensi | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.3.1 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference: | 1.2.0 | inferensi | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training: | 1.2.0 | pelatihan | CPU, GPU | py2, py3 | ## PyTorch Neuron (DLC) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | | --- | --- | --- | --- | --- | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training-neuron: | 1.11.0 | pelatihan | TRN | py38 | ## PyTorch Kompiler Pelatihan (DLC) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | | --- | --- | --- | --- | --- | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-trcomp-training: | 1.13.1 | pelatihan | GPU | py39 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-trcomp-training: | 1.12.0 | pelatihan | GPU | py38 | ## Random Cut Forest (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/randomcutforest: | 1 | inferensi, pelatihan | ## Scikit-learn (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='ca-west-1',version='0.23-1',image_scope='inference') ``` | Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | inferensi\$1graviton | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 0,23-1 | 0.23.2 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 0,23-1 | 0.23.2 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | pelatihan | ## Segmentasi Semantik (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/semantic-segmentation: | 1 | inferensi, pelatihan | ## Seq2Seq (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='ca-west-1') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/seq2seq: | 1 | inferensi, pelatihan | ## Spark (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='spark',region='ca-west-1',version='3.0',image_scope='processing') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | | 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing: | 3.3 | pengolahan | | 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing: | 3.2 | pengolahan | | 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing: | 3.1 | pengolahan | | 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing: | 3.0 | pengolahan | | 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing: | 2.4 | pengolahan | ## Tensorflow (DLC) Untuk informasi tentang TensorFlow versi yang didukung dan tidak didukung, lihat [Tabel Kebijakan Dukungan Framework](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) di *Panduan Pengembang AWS Deep Learning Containers*. Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='ca-west-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge') ``` | Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | | --- | --- | --- | --- | --- | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.19.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.19.0 | pelatihan | CPU, GPU | py312 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.18.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.18.0 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.16.2 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.16.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton: | 2.16.1 | inferensi\$1graviton | CPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.14.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton: | 2.14.1 | inferensi\$1graviton | CPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.14.1 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.13.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton: | 2.13.0 | inferensi\$1graviton | CPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.13.0 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.12.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton: | 2.12.1 | inferensi\$1graviton | CPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.12.0 | pelatihan | CPU, GPU | py310 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.11.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.11.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.11.0 | pelatihan | CPU, GPU | py39 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.10.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.10.1 | pelatihan | CPU, GPU | py39 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.10.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.9.3 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.9.2 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.9.2 | pelatihan | CPU, GPU | py39 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton: | 2.9.1 | inferensi\$1graviton | CPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.8.4 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.8.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.8.0 | pelatihan | CPU, GPU | py39 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.7.1 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.7.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.6.3 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.6.3 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.6.2 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.6.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.6.0 | pelatihan | CPU, GPU | py38 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.5.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.5.1 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.5.0 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.4.3 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.4.3 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.4.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.4.1 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.3.2 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.3.2 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.3.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.3.1 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-eia: | 2.3.0 | eia | CPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.3.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.3.0 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.2.2 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.2.2 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.2.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.2.1 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.2.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.2.0 | pelatihan | CPU, GPU | py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.1.3 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.1.3 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.1.2 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.1.2 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.1.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.1.1 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.1.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.1.0 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.0.4 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.0.4 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.0.3 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.0.3 | pelatihan | CPU, GPU | py3, py36 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.0.2 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.0.2 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.0.1 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.0.1 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-eia: | 2.0.0 | eia | CPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 2.0.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 2.0.0 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 1.15.5 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 1.15.5 | pelatihan | CPU, GPU | py3, py36, py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 1.15.4 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 1.15.4 | pelatihan | CPU, GPU | py3, py36, py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 1.15.3 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 1.15.3 | pelatihan | CPU, GPU | py2, py3, py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 1.15.2 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 1.15.2 | pelatihan | CPU, GPU | py2, py3, py37 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-eia: | 1.15.0 | eia | CPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 1.15.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 1.15.0 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-eia: | 1.14.0 | eia | CPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 1.14.0 | inferensi | CPU, GPU | - | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 1.14.0 | pelatihan | CPU, GPU | py2, py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training: | 1.13.1 | pelatihan | CPU, GPU | py3 | | 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference: | 1.13.0 | inferensi | CPU, GPU | - | ## XGBoost (algoritma) Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu. ``` from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='ca-west-1',version='1.5-1') ``` | Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) | | --- | --- | --- | --- | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1,7-1 | 1.7.4 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1,7-1 | 1.7.4 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1,5-1 | 1.5.2 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1,5-1 | 1.5.2 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1,5-1 | 1.5.2 | inferensi\$1graviton | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.3-1 | 1.3.3 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.3-1 | 1.3.3 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.3-1 | 1.3.3 | inferensi\$1graviton | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.2-2 | 1.2.0 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.2-2 | 1.2.0 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.2-1 | 1.2.0 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.2-1 | 1.2.0 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.0-1 | 1.0.0 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 1.0-1 | 1.0.0 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 0,90-2 | 0,90 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 0,90-2 | 0,90 | pelatihan | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 0,90-1 | 0,90 | inferensi | | 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost: | 0,90-1 | 0,90 | pelatihan |