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Describe the bug When setting disable_output_compression=True in a PyTorch SageMaker Estimator that is used with HyperparameterTuner, the resulting HPO training jobs still compress the model output. This ...
  • thvasilo
  • 2
  • Opened 
    3 days ago
  • #5206

Describe the bug I am importing sagemaker in a Python 3.11 Lambda and it produces the error No module named rpds.rpds . The module rpds does appear to be available. To reproduce I am using a Lambda Layer ...
  • rupe120
  • Opened 
    4 days ago
  • #5205

Describe the feature you d like As I understand it, now it is possible to set TransformAmiVersion when launching transform jobs with the AWS SDK (see for example TransformResources in the boto3 docs). ...
  • martinber
  • Opened 
    4 days ago
  • #5204

Describe the bug When using local mode, referencing FinalMetricDataList leads to an error. To reproduce To create and run the pipeline: import os import boto3 import sagemaker from sagemaker.workflow.pipeline ...
  • drosin
  • Opened 
    5 days ago
  • #5201

Describe the bug Sagemaker tries to access the settings attribute of the sagemaker.modules.Session()wich does not exists. To reproduce import sagemaker import boto3 from sagemaker.modules import Session ...
component: training
  • vektaBastien
  • 1
  • Opened 
    6 days ago
  • #5198

Describe the bug Model Trainer does not recognize my sagemaker session and returns an error. To reproduce import sagemaker from sagemaker.modules.train import ModelTrainer from sagemaker.modules.configs ...
component: model
  • Bastien-mva
  • 1
  • Opened 
    9 days ago
  • #5195

Describe the bug This commit introduced a bug I m pretty sure: https://github.com/aws/sagemaker-python-sdk/commit/9ead9c88874ef0ae0ac1a7adb5f4bad396c47542 To reproduce from sagemaker.model import Model ...
  • dmtree-ivanov
  • Opened 
    12 days ago
  • #5191

Describe the bug When calling a model.register() method with model_life_cycle param, a TypeError: Object of type ModelLifeCycle is not JSON serializable is encountered. To reproduce Create a new model ...
component: Inference APIs and Interfaces
type: bug
  • TunikiCharitha
  • 1
  • Opened 
    19 days ago
  • #5186

Describe the bug HyperparameterTuner does not preserve container mode parameters (container_entry_point and container_arguments) when creating training jobs, causing tuning jobs to fail. Individual training ...
component: pysdk-team
type: bug
  • josh-gree
  • 4
  • Opened 
    21 days ago
  • #5184

Describe the bug When configuring Data Capture for a Batch Transform job using the SageMaker Python SDK, the job creation succeeds, but the execution fails with an Internal Server Error . If Data Capture ...
component: batch
type: bug
  • thatayster
  • 1
  • Opened 
    on May 16
  • #5182
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