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Jan 15, 2020
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doc: update container dependency versions for MXNet and PyTorch #1233

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7b40c51
doc: update container dependency versions for MXNet and PyTorch
laurenyu Jan 14, 2020
728e9c5
mention that PT req.txt support varies by version
laurenyu Jan 15, 2020
2e348a1
Merge branch 'master' into container-dep-doc
laurenyu Jan 15, 2020
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26 changes: 13 additions & 13 deletions src/sagemaker/mxnet/README.rst
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Expand Up @@ -21,19 +21,19 @@ Your MXNet training script will be run on version 1.2.1 by default. (See below f

The Docker images have the following dependencies installed:

+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+
| Dependencies | MXNet 0.12.1 | MXNet 1.0.0 | MXNet 1.1.0 | MXNet 1.2.1 | MXNet 1.3.0 | MXNet 1.4.0 | MXNet 1.4.1 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+
| Python | 2.7 or 3.5 | 2.7 or 3.5| 2.7 or 3.5| 2.7 or 3.5| 2.7 or 3.5| 2.7 or 3.6| 2.7 or 3.6|
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+
| CUDA (GPU image only) | 9.0 | 9.0 | 9.0 | 9.0 | 9.0 | 9.2 | 10.0 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+
| numpy | 1.13.3 | 1.13.3 | 1.13.3 | 1.14.5 | 1.14.6 | 1.16.3 | 1.14.5 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+
| onnx | N/A | N/A | N/A | 1.2.1 | 1.2.1 | 1.4.1 | 1.4.1 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+
| keras-mxnet | N/A | N/A | N/A | N/A | 2.2.2 | 2.2.4.1 | 2.2.4.1 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+
| Dependencies | MXNet 0.12.1 | MXNet 1.0.0 | MXNet 1.1.0 | MXNet 1.2.1 | MXNet 1.3.0 | MXNet 1.4.0 | MXNet 1.4.1 | MXNet 1.6.0 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+
| Python | 2.7 or 3.5 | 2.7 or 3.5| 2.7 or 3.5| 2.7 or 3.5| 2.7 or 3.5| 2.7 or 3.6| 2.7 or 3.6| 2.7 or 3.6|
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+
| CUDA (GPU image only) | 9.0 | 9.0 | 9.0 | 9.0 | 9.0 | 9.2 | 10.0 | 10.1 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+
| numpy | 1.13.3 | 1.13.3 | 1.13.3 | 1.14.5 | 1.14.6 | 1.16.3 | 1.14.5 | 1.17.2 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+
| onnx | N/A | N/A | N/A | 1.2.1 | 1.2.1 | 1.4.1 | 1.4.1 | 1.6.0 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+
| keras-mxnet | N/A | N/A | N/A | N/A | 2.2.2 | 2.2.4.1 | 2.2.4.1 | 2.2.4.2 |
+-------------------------+--------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+

The Docker images extend Ubuntu 16.04.

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88 changes: 47 additions & 41 deletions src/sagemaker/pytorch/README.rst
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Expand Up @@ -31,59 +31,65 @@ libraries installed. When creating the Estimator and calling deploy to create th
the environment your script runs in.

SageMaker runs PyTorch Estimator scripts in either Python 2 or Python 3. You can select the Python version by
passing a ``py_version`` keyword arg to the PyTorch Estimator constructor. Setting this to `py3` (the default) will cause your
training script to be run on Python 3.5. Setting this to `py2` will cause your training script to be run on Python 2.7
passing a ``py_version`` keyword arg to the PyTorch Estimator constructor. Setting this to ``py3`` (the default) will cause your
training script to be run on Python 3.5. Setting this to ``py2`` will cause your training script to be run on Python 2.7
This Python version applies to both the Training Job, created by fit, and the Endpoint, created by deploy.

The PyTorch Docker images have the following dependencies installed:

+-----------------------------+---------------+-------------------+-------------------+
| Dependencies | pytorch 0.4.0 | pytorch 1.0.0 | pytorch 1.1.0 |
+-----------------------------+---------------+-------------------+-------------------+
| boto3 | >=1.7.35 | >=1.9.11 | 1.9.82 |
+-----------------------------+---------------+-------------------+-------------------+
| botocore | >=1.10.35 | >=1.12.11 | >= 1.12.11 |
+-----------------------------+---------------+-------------------+-------------------+
| CUDA (GPU image only) | 9.0 | 9.0 | 10.1 |
+-----------------------------+---------------+-------------------+-------------------+
| numpy | >=1.14.3 | >=1.15.2 | 1.16.4 |
+-----------------------------+---------------+-------------------+-------------------+
| Pillow | >=5.1.0 | >=5.2.0 | 6.0.0 |
+-----------------------------+---------------+-------------------+-------------------+
| pip | >=10.0.1 | >=18.0 | >=18.0 |
+-----------------------------+---------------+-------------------+-------------------+
| python-dateutil | >=2.7.3 | >=2.7.3 | >=2.7.3 |
+-----------------------------+---------------+-------------------+-------------------+
| retrying | >=1.3.3 | >=1.3.3 | 1.3.3 |
+-----------------------------+---------------+-------------------+-------------------+
| s3transfer | >=0.1.13 | >=0.1.13 | >=0.1.13 |
+-----------------------------+---------------+-------------------+-------------------+
| sagemaker-containers | >=2.1.0 | >=2.1.0 | 2.4.10.post0 |
+-----------------------------+---------------+-------------------+-------------------+
| sagemaker-pytorch-container | 1.0 | 1.1 | 1.2 |
+-----------------------------+---------------+-------------------+-------------------+
| setuptools | >=39.2.0 | >=40.4.3 | >=40.4.3 |
+-----------------------------+---------------+-------------------+-------------------+
| six | >=1.11.0 | >=1.11.0 | 1.12.0 |
+-----------------------------+---------------+-------------------+-------------------+
| torch | 0.4.0 | 1.0.0 | 1.1.0 |
+-----------------------------+---------------+-------------------+-------------------+
| torchvision | 0.2.1 | 0.2.1 | 0.3.0 |
+-----------------------------+---------------+-------------------+-------------------+
| Python | 2.7 or 3.5 | 2.7 or 3.6 | 2.7 or 3.6 |
+-----------------------------+---------------+-------------------+-------------------+
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| Dependencies | pytorch 0.4.0 | pytorch 1.0.0 | pytorch 1.1.0 | pytorch 1.2.0 | pytorch 1.3.1 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| boto3 | >=1.7.35 | >=1.9.11 | 1.9.82 | 1.9.249 | 1.10.34 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| botocore | >=1.10.35 | >=1.12.11 | >= 1.12.11 | 1.12.249 | 1.13.34 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| CUDA (GPU image only) | 9.0 | 9.0 | 10.1 | 10.0 | 10.1 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| numpy | >=1.14.3 | >=1.15.2 | 1.16.4 | 1.16.4 | 1.16.4 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| Pillow | >=5.1.0 | >=5.2.0 | 6.0.0 | 5.4.1 | 6.2.1 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| pip | >=10.0.1 | >=18.0 | >=18.0 | 19.3 | 19.3.1 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| python-dateutil | >=2.7.3 | >=2.7.3 | >=2.7.3 | 2.8.0 | 2.8.0 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| retrying | >=1.3.3 | >=1.3.3 | 1.3.3 | 1.3.3 | 1.3.3 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| s3transfer | >=0.1.13 | >=0.1.13 | >=0.1.13 | 0.2.1 | 0.2.1 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| sagemaker-containers | >=2.1.0 | >=2.1.0 | 2.4.10.post0 | 2.5.4 | 2.5.4 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| sagemaker-inference (inference only) | N/A | N/A | N/A | N/A | 1.1.2 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| sagemaker-pytorch-container | 1.0 | 1.1 | 1.2 | 1.2 | 1.3 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| setuptools | >=39.2.0 | >=40.4.3 | >=40.4.3 | 41.4.0 | 42.0.2.post20191203 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| six | >=1.11.0 | >=1.11.0 | 1.12.0 | 1.12.0 | 1.12.0 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| torch | 0.4.0 | 1.0.0 | 1.1.0 | 1.2.0 | 1.3.1 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| torchvision | 0.2.1 | 0.2.1 | 0.3.0 | 0.4.0a0+9232c4a | 0.4.2 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+
| Python | 2.7 or 3.5 | 2.7 or 3.6 | 2.7 or 3.6 | 2.7 or 3.6 | 2.7 or 3.6 |
+---------------------------------------+---------------+----------------+---------------+-----------------+---------------------+

The Docker images extend Ubuntu 16.04.

If you need to install other dependencies you can put them into `requirements.txt` file and put it in the source directory
With most versions of PyTorch, if you need to install other dependencies, you can put them into ``requirements.txt`` file and put it in the source directory
(``source_dir``) you provide to the `PyTorch Estimator <#pytorch-estimators>`__.
For more, including directions specific to each version of PyTorch, see `Using third-party libraries <https://sagemaker.readthedocs.io/en/stable/using_pytorch.html#using-third-party-libraries>`_.

You can select version of PyTorch by passing a ``framework_version`` keyword arg to the PyTorch Estimator constructor.
Currently supported versions are listed in the above table. You can also set ``framework_version`` to only specify major and
minor version, which will cause your training script to be run on the latest supported patch version of that minor
version.

Alternatively, you can build your own image by following the instructions in the SageMaker Chainer containers
repository, and passing ``image_name`` to the Chainer Estimator constructor.
Alternatively, you can build your own image by following the instructions in the SageMaker PyTorch containers
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:D

repository, and passing ``image_name`` to the PyTorch Estimator constructor.

You can visit `the SageMaker PyTorch containers repository <https://github.com/aws/sagemaker-pytorch-containers>`_.
You can visit the SageMaker PyTorch containers repositories:

- training: https://github.com/aws/sagemaker-pytorch-container
- serving: https://github.com/aws/sagemaker-pytorch-serving-container