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update samples from Release-144 as a part of SDK release

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amlrelsa-ms
2022-06-03 17:28:37 +00:00
parent 22753486de
commit b86191ed7f
4 changed files with 16 additions and 10 deletions
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1
how-to-use-azureml/automated-machine-learning/automl_env.yml
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@@ -17,6 +17,7 @@ dependencies:
- notebook
- pywin32==227
- PySocks==1.7.1
- jsonschema==4.5.1
- conda-forge::pyqt==5.12.3
- pip:

2
how-to-use-azureml/machine-learning-pipelines/parallel-run/file-dataset-image-inference-mnist.ipynb
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@@ -361,7 +361,7 @@
"\n",
"batch_conda_deps = CondaDependencies.create(python_version=\"3.7\",\n",
" conda_packages=['pip==20.2.4'],\n",
" pip_packages=[\"tensorflow==1.15.2\", \"pillow\", \n",
" pip_packages=[\"tensorflow==1.15.2\", \"pillow\", \"protobuf==3.20.1\",\n",
" \"azureml-core\", \"azureml-dataset-runtime[fuse]\"])\n",
"batch_env = Environment(name=\"batch_environment\")\n",
"batch_env.python.conda_dependencies = batch_conda_deps\n",

16
tutorials/machine-learning-pipelines-advanced/scripts/batch_scoring.py
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@@ -5,17 +5,19 @@ import os
import argparse
import datetime
import time
import tensorflow as tf
import tensorflow.compat.v1 as tf
from math import ceil
import numpy as np
import sys
import shutil
from tensorflow.contrib.slim.python.slim.nets import inception_v3
import subprocess
import tf_slim
from azureml.core import Run
from azureml.core.model import Model
from azureml.core.dataset import Dataset
slim = tf.contrib.slim
slim = tf_slim
image_size = 299
num_channel = 3
@@ -32,16 +34,18 @@ def get_class_label_dict(labels_dir):
def init():
global g_tf_sess, probabilities, label_dict, input_images
subprocess.run(["git", "clone", "https://github.com/tensorflow/models/"])
sys.path.append("./models/research/slim")
parser = argparse.ArgumentParser(description="Start a tensorflow model serving")
parser.add_argument('--model_name', dest="model_name", required=True)
parser.add_argument('--labels_dir', dest="labels_dir", required=True)
args, _ = parser.parse_known_args()
from nets import inception_v3, inception_utils
label_dict = get_class_label_dict(args.labels_dir)
classes_num = len(label_dict)
with slim.arg_scope(inception_v3.inception_v3_arg_scope()):
tf.disable_v2_behavior()
with slim.arg_scope(inception_utils.inception_arg_scope()):
input_images = tf.placeholder(tf.float32, [1, image_size, image_size, num_channel])
logits, _ = inception_v3.inception_v3(input_images,
num_classes=classes_num,

7
tutorials/machine-learning-pipelines-advanced/tutorial-pipeline-batch-scoring-classification.ipynb
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@@ -247,7 +247,7 @@
" config = AmlCompute.provisioning_configuration(vm_size=\"STANDARD_NC6\",\n",
" vm_priority=\"lowpriority\", \n",
" min_nodes=0, \n",
" max_nodes=1)\n",
" max_nodes=2)\n",
"\n",
" compute_target = ComputeTarget.create(workspace=ws, name=compute_name, provisioning_configuration=config)\n",
" compute_target.wait_for_completion(show_output=True, min_node_count=None, timeout_in_minutes=20)"
@@ -305,9 +305,10 @@
"from azureml.core.conda_dependencies import CondaDependencies\n",
"from azureml.core.runconfig import DEFAULT_GPU_IMAGE\n",
"\n",
"cd = CondaDependencies.create(python_version=\"3.7\",\n",
"cd = CondaDependencies.create(python_version=\"3.8\",\n",
" conda_packages=['pip==20.2.4'],\n",
" pip_packages=[\"tensorflow-gpu==1.15.2\",\n",
" pip_packages=[\"tensorflow-gpu==2.3.0\",\n",
" \"tf_slim==1.1.0\", \"protobuf==3.20.1\",\n",
" \"azureml-core\", \"azureml-dataset-runtime[fuse]\"])\n",
"\n",
"env = Environment(name=\"parallelenv\")\n",