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Model Inference

For imported models and model inference is completed on ModelArts, supported engines and their runtime are as follows:

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Table 3 Supported AI engines and their runtime

Engine

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- - - - - - - - - - - - - - + + + + + + + + + + + +
Table 3 Supported AI engines and their runtime

Engine

Runtime

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Runtime

Precautions

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Precautions

TensorFlow

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TensorFlow

python3.6

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python2.7

+

python3.6

+

python2.7

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tf1.13-python2.7-gpu

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tf1.13-python2.7-cpu

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tf1.13-python3.6-gpu

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tf1.13-python3.6-cpu

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tf1.13-python3.7-cpu

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tf1.13-python3.7-gpu

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tf2.1-python3.7

  • TensorFlow 1.8.0 is used in python2.7 and python3.6.
  • python3.6 and python2.7 indicate that the model can run on both CPUs and GPUs.
  • The default runtime is python3.6.
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  • TensorFlow 1.8.0 is used in python2.7 and python3.6.
  • python3.6, python2.7, and tf2.1-python3.7 indicate that the model can run on both CPUs and GPUs. For other runtime values, if the suffix contains cpu or gpu, the model can run only on CPUs or GPUs.
  • The default runtime is python2.7.

MXNet

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MXNet

python3.7

-

python2.7

+

python3.7

+

python3.6

  • MXNet 1.2.1 is used in python3.7 and python2.7.
  • python3.6 and python2.7 indicate that the model can run on both CPUs and GPUs.
  • The default runtime is python3.7.
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  • MXNet 1.2.1 is used in python3.6 and python3.7.
  • python3.6 and python3.7 indicate that the model can run on both CPUs and GPUs.
  • The default runtime is python3.6.

Caffe

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Caffe

python2.7-gpu

-

python3.7-gpu

-

python2.7-cpu

-

python3.7-cpu

+

python3.6

+

python3.7

+

python3.6-gpu

+

python3.7-gpu

+

python3.6-cpu

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python3.7-cpu

  • Caffe 1.0.0 is used in python2.7-gpu, python3.7-gpu, python2.7-cpu, and python3.7-cpu.
  • For runtime values, if the suffix contains cpu or gpu, the model can run only on CPUs or GPUs. Use the runtime of python3.6-gpu, python3.7-gpu, python3.6-cpu, or python3.7-cpu.
  • The default runtime is python3.7.
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  • Caffe 1.0.0 is used in python3.6, python3.7, python3.6-gpu, python3.7-gpu, python3.6-cpu, and python3.7-cpu.
  • python 3.6 and python3.7 can only be used to run models on CPUs. For other runtime values, if the suffix contains cpu or gpu, the model can run only on CPUs or GPUs. Use the runtime of python3.6-gpu, python3.7-gpu, python3.6-cpu, or python3.7-cpu.
  • The default runtime is python3.6.

PyTorch

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Spark_MLlib

python2.7

-

python3.7

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python3.6

  • PyTorch 1.0 is used in python2.7 and python3.7.
  • python2.7 and python3.7 indicate that the model can run on both CPUs and GPUs.
  • The default runtime is python3.7.
+
  • Spark_MLlib 2.3.2 is used in python3.6.
  • python 3.6 can only be used to run models on CPUs.
+

Scikit_Learn

+

python3.6

+
  • Scikit_Learn 0.18.1 is used in python3.6.
  • python 3.6 can only be used to run models on CPUs.
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XGBoost

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python3.6

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  • XGBoost 0.80 is used in python3.6.
  • python 3.6 can only be used to run models on CPUs.
+

PyTorch

+

python3.6

+

python3.7

+

pytorch1.4-python3.7

+
  • PyTorch 1.0 is used in python3.6 and python3.7.
  • python3.6, python3.7, and pytorch1.4-python3.7 indicate that the model can run on both CPUs and GPUs.
  • The default runtime is python3.6.