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upgrade notebook to SDK v2 #1576

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Merged
merged 1 commit into from
Oct 2, 2020
Merged

upgrade notebook to SDK v2 #1576

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60 changes: 29 additions & 31 deletions ...digits-classification-experiment/mnist-handwritten-digits-classification-experiment.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@
"metadata": {},
"outputs": [],
"source": [
"!{sys.executable} -m pip install sagemaker-experiments"
"!{sys.executable} -m pip install sagemaker-experiments==0.1.24"
]
},
{
Expand All @@ -60,8 +60,12 @@
"metadata": {},
"outputs": [],
"source": [
"!{sys.executable} -m pip install torch\n",
"!{sys.executable} -m pip install torchvision"
"# pytorch version needs to be the same in both the notebook instance and the training job container \n",
"# https://github.com/pytorch/pytorch/issues/25214\n",
"!{sys.executable} -m pip install torch==1.1.0\n",
"!{sys.executable} -m pip install torchvision==0.3.0\n",
"!{sys.executable} -m pip install pillow==6.2.2 ",
"!{sys.executable} -m pip install --upgrade sagemaker",
]
},
{
Expand All @@ -73,7 +77,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -82,7 +86,7 @@
"import boto3\n",
"import numpy as np\n",
"import pandas as pd\n",
"%config InlineBackend.figure_format = 'retina'\n",
"from IPython.display import set_matplotlib_formats\n",
"from matplotlib import pyplot as plt\n",
"from torchvision import datasets, transforms\n",
"\n",
Expand All @@ -94,7 +98,9 @@
"from smexperiments.experiment import Experiment\n",
"from smexperiments.trial import Trial\n",
"from smexperiments.trial_component import TrialComponent\n",
"from smexperiments.tracker import Tracker"
"from smexperiments.tracker import Tracker\n",
"\n",
"set_matplotlib_formats('retina')"
]
},
{
Expand Down Expand Up @@ -307,12 +313,13 @@
" # all input configurations, parameters, and metrics specified in estimator \n",
" # definition are automatically tracked\n",
" estimator = PyTorch(\n",
" py_version='py3',\n",
" entry_point='./mnist.py',\n",
" role=role,\n",
" sagemaker_session=sagemaker.Session(sagemaker_client=sm),\n",
" framework_version='1.1.0',\n",
" train_instance_count=1,\n",
" train_instance_type='ml.c4.xlarge',\n",
" instance_count=1,\n",
" instance_type='ml.c4.xlarge',\n",
" hyperparameters={\n",
" 'epochs': 2,\n",
" 'backend': 'gloo',\n",
Expand Down Expand Up @@ -470,6 +477,7 @@
" model_data, \n",
" role, \n",
" './mnist.py', \n",
" py_version='py3',\n",
" env=env, \n",
" sagemaker_session=sagemaker.Session(sagemaker_client=sm),\n",
" framework_version='1.1.0',\n",
Expand Down Expand Up @@ -497,39 +505,29 @@
"metadata": {},
"outputs": [],
"source": [
"predictor.delete_endpoint()\n",
"\n",
"def cleanup(experiment):\n",
" for trial_summary in experiment.list_trials():\n",
" trial = Trial.load(sagemaker_boto_client=sm, trial_name=trial_summary.trial_name)\n",
" for trial_component_summary in trial.list_trial_components():\n",
" tc = TrialComponent.load(\n",
" sagemaker_boto_client=sm,\n",
" trial_component_name=trial_component_summary.trial_component_name)\n",
" trial.remove_trial_component(tc)\n",
" try:\n",
" # comment out to keep trial components\n",
" tc.delete()\n",
" except:\n",
" # tc is associated with another trial\n",
" continue\n",
" # to prevent throttling\n",
" time.sleep(.5)\n",
" trial.delete()\n",
" experiment.delete()\n",
"\n",
"cleanup(mnist_experiment)"
"predictor.delete_endpoint()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
"source": [
"mnist_experiment.delete_all(action='--force')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Contact\n",
"Submit any questions or issues to https://github.com/aws/sagemaker-experiments/issues or mention @aws/sagemakerexperimentsadmin "
]
}
],
"metadata": {
"instance_type": "ml.t3.medium",
"kernelspec": {
"display_name": "Python 3 (Data Science)",
"language": "python",
Expand Down
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