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8 Commits

Author SHA1 Message Date
amlrelsa-ms
cf2e3804d5 update samples from Release-161 as a part of SDK release 2022-09-16 20:16:37 +00:00
Harneet Virk
b7be42357f Merge pull request #1814 from Azure/release_update/Release-160
update samples from Release-160 as a part of  SDK release
2022-09-12 18:57:44 -07:00
amlrelsa-ms
3ac82c07ae update samples from Release-160 as a part of SDK release 2022-09-13 01:24:40 +00:00
Harneet Virk
9743c0a1fa Merge pull request #1755 from Azure/users/GitHubPolicyService/11f57c70-4141-4c68-9224-aceb8eab1c48
Adding Microsoft SECURITY.MD
2022-09-06 16:52:36 -07:00
Harneet Virk
ba4dac530e Merge pull request #1808 from Azure/release_update/Release-157
update samples from Release-157 as a part of  SDK release
2022-09-06 16:33:03 -07:00
amlrelsa-ms
7f7f0040fd update samples from Release-157 as a part of SDK release 2022-09-06 23:16:24 +00:00
Harneet Virk
9ca567cd9c Merge pull request #1802 from Azure/release_update/Release-156
update samples from Release-156 as a part of  SDK release
2022-08-18 17:23:55 -07:00
microsoft-github-policy-service[bot]
e0c9376aab Microsoft mandatory file 2022-05-25 17:12:16 +00:00
30 changed files with 111 additions and 51 deletions

41
SECURITY.md Normal file
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@@ -0,0 +1,41 @@
<!-- BEGIN MICROSOFT SECURITY.MD V0.0.7 BLOCK -->
## Security
Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [our GitHub organizations](https://opensource.microsoft.com/).
If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://aka.ms/opensource/security/definition), please report it to us as described below.
## Reporting Security Issues
**Please do not report security vulnerabilities through public GitHub issues.**
Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://aka.ms/opensource/security/create-report).
If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/opensource/security/pgpkey).
You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://aka.ms/opensource/security/msrc).
Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:
* Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
* Full paths of source file(s) related to the manifestation of the issue
* The location of the affected source code (tag/branch/commit or direct URL)
* Any special configuration required to reproduce the issue
* Step-by-step instructions to reproduce the issue
* Proof-of-concept or exploit code (if possible)
* Impact of the issue, including how an attacker might exploit the issue
This information will help us triage your report more quickly.
If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://aka.ms/opensource/security/bounty) page for more details about our active programs.
## Preferred Languages
We prefer all communications to be in English.
## Policy
Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/opensource/security/cvd).
<!-- END MICROSOFT SECURITY.MD BLOCK -->

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@@ -103,7 +103,7 @@
"source": [
"import azureml.core\n",
"\n",
"print(\"This notebook was created using version 1.44.0 of the Azure ML SDK\")\n",
"print(\"This notebook was created using version 1.45.0 of the Azure ML SDK\")\n",
"print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
]
},

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@@ -6,7 +6,7 @@ dependencies:
- fairlearn>=0.6.2
- joblib
- liac-arff
- raiwidgets~=0.19.0
- raiwidgets~=0.21.0
- itsdangerous==2.0.1
- markupsafe<2.1.0
- protobuf==3.20.0

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@@ -6,7 +6,7 @@ dependencies:
- fairlearn>=0.6.2
- joblib
- liac-arff
- raiwidgets~=0.19.0
- raiwidgets~=0.21.0
- itsdangerous==2.0.1
- markupsafe<2.1.0
- protobuf==3.20.0

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@@ -18,16 +18,18 @@ dependencies:
- pywin32==227
- PySocks==1.7.1
- conda-forge::pyqt==5.12.3
- jsonschema==4.9.1
- Pygments==2.12.0
- jinja2<=2.11.2
- markupsafe<2.1.0
- tqdm==4.64.0
- pip:
# Required packages for AzureML execution, history, and data preparation.
- azureml-widgets~=1.44.0
- azureml-widgets~=1.45.0
- azureml-defaults~=1.45.0
- pytorch-transformers==1.0.0
- spacy==2.2.4
- pystan==2.19.1.1
- https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
- -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.44.0/validated_win32_requirements.txt [--no-deps]
- -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.45.0/validated_win32_requirements.txt [--no-deps]
- arch==4.14
- wasabi==0.9.1

View File

@@ -21,13 +21,16 @@ dependencies:
- conda-forge::fbprophet==0.7.1
- pytorch::pytorch=1.4.0
- cudatoolkit=10.1.243
- jinja2<=2.11.2
- markupsafe<2.1.0
- pip:
# Required packages for AzureML execution, history, and data preparation.
- azureml-widgets~=1.44.0
- azureml-widgets~=1.45.0
- azureml-defaults~=1.45.0
- pytorch-transformers==1.0.0
- spacy==2.2.4
- pystan==2.19.1.1
- https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
- -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.44.0/validated_linux_requirements.txt [--no-deps]
- -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.45.0/validated_linux_requirements.txt [--no-deps]
- arch==4.14

View File

@@ -22,13 +22,16 @@ dependencies:
- conda-forge::fbprophet==0.7.1
- pytorch::pytorch=1.4.0
- cudatoolkit=9.0
- jinja2<=2.11.2
- markupsafe<2.1.0
- pip:
# Required packages for AzureML execution, history, and data preparation.
- azureml-widgets~=1.44.0
- azureml-widgets~=1.45.0
- azureml-defaults~=1.45.0
- pytorch-transformers==1.0.0
- spacy==2.2.4
- pystan==2.19.1.1
- https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
- -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.44.0/validated_darwin_requirements.txt [--no-deps]
- -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.45.0/validated_darwin_requirements.txt [--no-deps]
- arch==4.14

View File

@@ -97,7 +97,7 @@
"metadata": {},
"outputs": [],
"source": [
"print(\"This notebook was created using version 1.44.0 of the Azure ML SDK\")\n",
"print(\"This notebook was created using version 1.45.0 of the Azure ML SDK\")\n",
"print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
]
},

View File

@@ -97,7 +97,7 @@
"metadata": {},
"outputs": [],
"source": [
"print(\"This notebook was created using version 1.44.0 of the Azure ML SDK\")\n",
"print(\"This notebook was created using version 1.45.0 of the Azure ML SDK\")\n",
"print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
]
},

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@@ -3,7 +3,7 @@ dependencies:
# The python interpreter version.
# Currently Azure ML only supports 3.6.0 and later.
- pip<=20.2.4
- python>=3.6.0,<3.9
- python>=3.6.0,<3.10
- cython==0.29.14
- urllib3==1.26.7
- PyJWT < 2.0.0
@@ -18,4 +18,6 @@ dependencies:
- azureml-defaults
- azureml-sdk
- azureml-widgets
- azureml-mlflow
- pandas
- mlflow

View File

@@ -7,7 +7,7 @@ dependencies:
# Currently Azure ML only supports 3.6.0 and later.
- pip<=20.2.4
- nomkl
- python>=3.6.0,<3.9
- python>=3.6.0,<3.10
- urllib3==1.26.7
- PyJWT < 2.0.0
- numpy>=1.21.6,<=1.22.3
@@ -20,4 +20,6 @@ dependencies:
- azureml-defaults
- azureml-sdk
- azureml-widgets
- azureml-mlflow
- pandas
- mlflow

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@@ -92,7 +92,7 @@
"metadata": {},
"outputs": [],
"source": [
"print(\"This notebook was created using version 1.44.0 of the Azure ML SDK\")\n",
"print(\"This notebook was created using version 1.45.0 of the Azure ML SDK\")\n",
"print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
]
},

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@@ -91,7 +91,7 @@
"metadata": {},
"outputs": [],
"source": [
"print(\"This notebook was created using version 1.44.0 of the Azure ML SDK\")\n",
"print(\"This notebook was created using version 1.45.0 of the Azure ML SDK\")\n",
"print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
]
},

View File

@@ -106,7 +106,7 @@
"metadata": {},
"outputs": [],
"source": [
"print(\"This notebook was created using version 1.44.0 of the Azure ML SDK\")\n",
"print(\"This notebook was created using version 1.45.0 of the Azure ML SDK\")\n",
"print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
]
},
@@ -237,12 +237,16 @@
"import pkg_resources\n",
"available_packages = pkg_resources.working_set\n",
"pandas_ver = None\n",
"numpy_ver = None\n",
"for dist in list(available_packages):\n",
" if dist.key == 'pandas':\n",
" pandas_ver = dist.version\n",
"pandas_dep = 'pandas'\n",
"numpy_dep = 'numpy'\n",
"if pandas_ver:\n",
" pandas_dep = 'pandas=={}'.format(pandas_ver)\n",
"if numpy_ver:\n",
" numpy_dep = 'numpy=={}'.format(numpy_ver)\n",
"\n",
"# Note: we build shap at commit 690245 for Tesla K80 GPUs\n",
"env.docker.base_dockerfile = f\"\"\"\n",
@@ -282,7 +286,7 @@
"pip uninstall -y xgboost && \\\n",
"conda install py-xgboost==1.3.3 && \\\n",
"pip uninstall -y numpy && \\\n",
"conda install numpy==1.20.3 \\\n",
"conda install {numpy_dep} \\\n",
"\"\"\"\n",
"\n",
"env.python.user_managed_dependencies = True\n",

View File

@@ -7,12 +7,12 @@ dependencies:
- flask
- flask-cors
- gevent>=1.3.6
- jinja2
- ipython
- matplotlib
- ipywidgets
- raiwidgets~=0.19.0
- raiwidgets~=0.21.0
- itsdangerous==2.0.1
- markupsafe<2.1.0
- scipy>=1.5.3
- protobuf==3.20.0
- jinja2==3.0.3

View File

@@ -6,13 +6,13 @@ dependencies:
- flask
- flask-cors
- gevent>=1.3.6
- jinja2
- ipython
- matplotlib
- azureml-dataset-runtime
- ipywidgets
- raiwidgets~=0.19.0
- raiwidgets~=0.21.0
- itsdangerous==2.0.1
- markupsafe<2.1.0
- scipy>=1.5.3
- protobuf==3.20.0
- jinja2==3.0.3

View File

@@ -6,13 +6,13 @@ dependencies:
- flask
- flask-cors
- gevent>=1.3.6
- jinja2
- ipython
- matplotlib
- ipywidgets
- raiwidgets~=0.19.0
- raiwidgets~=0.21.0
- packaging>=20.9
- itsdangerous==2.0.1
- markupsafe<2.1.0
- scipy>=1.5.3
- protobuf==3.20.0
- jinja2==3.0.3

View File

@@ -6,13 +6,13 @@ dependencies:
- flask
- flask-cors
- gevent>=1.3.6
- jinja2
- ipython
- matplotlib
- ipywidgets
- raiwidgets~=0.19.0
- raiwidgets~=0.21.0
- packaging>=20.9
- itsdangerous==2.0.1
- markupsafe<2.1.0
- scipy>=1.5.3
- protobuf==3.20.0
- jinja2==3.0.3

View File

@@ -6,14 +6,14 @@ dependencies:
- flask
- flask-cors
- gevent>=1.3.6
- jinja2
- ipython
- matplotlib
- azureml-dataset-runtime
- azureml-core
- ipywidgets
- raiwidgets~=0.19.0
- raiwidgets~=0.21.0
- itsdangerous==2.0.1
- markupsafe<2.1.0
- scipy>=1.5.3
- protobuf==3.20.0
- jinja2==3.0.3

View File

@@ -4,7 +4,7 @@ import os
import numpy as np
from utils import download_mnist
from datautils import download_mnist
import chainer
from chainer import backend

View File

@@ -2,7 +2,7 @@ import numpy as np
import os
import json
from utils import download_mnist
from datautils import download_mnist
from chainer import serializers, using_config, Variable, datasets
import chainer.functions as F

View File

@@ -210,7 +210,7 @@
"\n",
"shutil.copy('chainer_mnist.py', project_folder)\n",
"shutil.copy('chainer_score.py', project_folder)\n",
"shutil.copy('utils.py', project_folder)"
"shutil.copy('datautils.py', project_folder)"
]
},
{

View File

@@ -283,7 +283,7 @@
"\n",
"# Specify a GPU base image\n",
"pytorch_env.docker.enabled = True\n",
"pytorch_env.docker.base_image = 'mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.1-cudnn7-ubuntu18.04'"
"pytorch_env.docker.base_image = 'mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.1-cudnn8-ubuntu18.04'"
]
},
{

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@@ -8,7 +8,7 @@ dependencies:
- matplotlib
- azureml-dataset-runtime
- ipywidgets
- raiwidgets~=0.19.0
- raiwidgets~=0.21.0
- liac-arff
- packaging>=20.9
- itsdangerous==2.0.1

View File

@@ -101,7 +101,7 @@
"\n",
"# Check core SDK version number\n",
"\n",
"print(\"This notebook was created using SDK version 1.44.0, you are currently running version\", azureml.core.VERSION)"
"print(\"This notebook was created using SDK version 1.45.0, you are currently running version\", azureml.core.VERSION)"
]
},
{

View File

@@ -1,10 +1,11 @@
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization
from keras.utils import to_categorical
from keras.callbacks import Callback
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.losses import categorical_crossentropy
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.callbacks import Callback
import numpy as np
import pandas as pd
@@ -64,8 +65,8 @@ model.add(Dense(128, activation='relu'))
model.add(Dropout(0.3))
model.add(Dense(num_classes, activation='softmax'))
model.compile(loss=keras.losses.categorical_crossentropy,
optimizer=keras.optimizers.Adam(),
model.compile(loss=categorical_crossentropy,
optimizer=Adam(),
metrics=['accuracy'])
# start an Azure ML run

View File

@@ -270,16 +270,19 @@
"%%writefile conda_dependencies.yml\n",
"\n",
"dependencies:\n",
"- python=3.6.2\n",
"- python=3.8\n",
"- pip==20.2.4\n",
"- pip:\n",
" - azureml-core\n",
" - azureml-dataset-runtime\n",
" - keras==2.4.3\n",
" - tensorflow==2.4.3\n",
" - keras==2.6\n",
" - tensorflow-gpu==2.6\n",
" - numpy\n",
" - scikit-learn\n",
" - pandas\n",
" - matplotlib"
" - matplotlib\n",
" - protobuf==3.20.1\n",
" - typing-extensions==4.3.0"
]
},
{

View File

@@ -102,7 +102,7 @@
"source": [
"import azureml.core\n",
"\n",
"print(\"This notebook was created using version 1.44.0 of the Azure ML SDK\")\n",
"print(\"This notebook was created using version 1.45.0 of the Azure ML SDK\")\n",
"print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
]
},

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@@ -151,8 +151,7 @@
"# use a curated environment that has already been built for you\n",
"\n",
"env = Environment.get(workspace=ws, \n",
" name=\"AzureML-Scikit-learn0.24-Cuda11-OpenMpi4.1.0-py36\", \n",
" version=1)"
" name=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu\")"
]
},
{