ONNX
Learn about ONNX conda environments.
A description of the ONNX 1.13 for CPU on Python 3.9 (version 1.0) conda environment.
Released |
May 25, 2023 |
---|---|
Description |
This environment includes To get started with this conda environment, review the Getting Started notebook, using the Launcher. |
Python Version |
3.9 |
Slug |
|
Object Storage Path |
|
Top Libraries |
For a complete list of preinstalled Python libraries, see onnx113_p39_cpu_v1.txt. |
A description of the ONNX 1.13 for GPU on Python 3.9 (version 1.0) conda environment.
Released |
July 10, 2023 |
---|---|
Description |
This environment includes To get started with this conda environment, review the Getting Started notebook, using the Launcher. |
Python Version |
3.9 |
Slug |
|
Object Storage Path |
|
Top Libraries |
For a complete list of preinstalled Python libraries, see onnx110_p39_gpu_v1.txt. |
A description of the ONNX 1.10 for CPU on Python 3.9 (version 1.0) conda environment.
Released |
June 24, 2022 |
---|---|
Description |
This environment includes To get started with this conda environment, review the Getting Started notebook, using the Launcher. |
Python Version |
3.9 |
Slug |
|
Object Storage Path |
|
Top Libraries |
For a complete list of preinstalled Python libraries, see onnx113_p39_cpu_v1.txt. |
A description of the ONNX 1.10 for CPU on Python 3.8 (version 2.0) conda environment.
Released |
December 1, 2022 |
---|---|
Description |
This environment is designed to test and run your ONNX model artifacts. ONNX is an open source, open model format which lets you to save a model from different machine learning (ML) libraries into a single, portable format that's independent of the training library. You can deploy ONNX models using the Data Science model deployments. Use this conda environment to convert models from most ML libraries into ONNX format. Then use the ONNX runtime to perform inferencing. Review the processing steps that your model makes by having ONNX generate a graph of the model work flow. To get started with this conda environment, review the Getting Started notebook, using the Launcher. |
Python Version |
3.8 |
Slug |
|
Object Storage Path |
|
Top Libraries |
For a complete list of preinstalled Python libraries, see onnx110_p38_cpu_v2.txt. |