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Update eval frequency param for TensorBoard notebook for TensorFlow 1.6 #228

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Merged
djarpin merged 1 commit into from
Apr 27, 2018
Merged

Update eval frequency param for TensorBoard notebook for TensorFlow 1.6 #228

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14 changes: 10 additions & 4 deletions ...nsorflow_resnet_cifar10_with_tensorboard/tensorflow_resnet_cifar10_with_tensorboard.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"scrolled": false
},
"outputs": [],
Expand Down Expand Up @@ -105,6 +106,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"scrolled": false
},
"outputs": [],
Expand All @@ -116,7 +118,7 @@
"estimator = TensorFlow(entry_point='resnet_cifar_10.py',\n",
" source_dir=source_dir,\n",
" role=role,\n",
" hyperparameters={'min_eval_frequency': 10},\n",
" hyperparameters={'throttle_secs': 30},\n",
" training_steps=1000, evaluation_steps=100,\n",
" train_instance_count=2, train_instance_type='ml.c4.xlarge', \n",
" base_job_name='tensorboard-example')\n",
Expand All @@ -138,7 +140,7 @@
"\n",
"It takes a few minutes to provision containers and start the training job.**TensorBoard** will start to display metrics shortly after that.\n",
"\n",
"You can access **TensorBoard** locally at [http://localhost:6006](http://localhost:6006) or using your SageMaker notebook instance [proxy/6006/](/proxy/6006/)(TensorBoard will not work if forget to put the slash, '/', in end of the url). If TensorBoard started on a different port, adjust these URLs to match.This example uses the optional hyperparameter **```min_eval_frequency```** to generate training evaluations more often, allowing to visualize **TensorBoard** scalar data faster. You can find the available optional hyperparameters [here](https://github.com/aws/sagemaker-python-sdk#optional-hyperparameters)**."
"You can access **TensorBoard** locally at [http://localhost:6006](http://localhost:6006) or using your SageMaker notebook instance [proxy/6006/](/proxy/6006/)(TensorBoard will not work if forget to put the slash, '/', in end of the url). If TensorBoard started on a different port, adjust these URLs to match.This example uses the optional hyperparameter **```throttle_secs```** to generate training evaluations more often, allowing to visualize **TensorBoard** scalar data faster. You can find the available optional hyperparameters [here](https://github.com/aws/sagemaker-python-sdk#optional-hyperparameters)."
]
},
{
Expand All @@ -155,7 +157,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"predictor = estimator.deploy(initial_instance_count=1, instance_type='ml.m4.xlarge')"
Expand All @@ -173,7 +177,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
Expand Down