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onnx-array-api 0.3.1 documentation

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onnx-array-api 0.3.1 documentation

Contents

Tutorial
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- Many ways to implement a custom graph in ONNX
- GraphBuilder: common API for ONNX
- Light API for ONNX: everything in one line
- Numpy API for ONNX
  Toggle navigation of Numpy API for ONNX
  - First examples with onnx-array-api
  - First examples with onnxruntime
- Tools
- Benchmarks
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  - Benchmark of TreeEnsemble implementation
API
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- onnx_array_api.array_api
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  - onnx_array_api.array_api.onnx_numpy
  - onnx_array_api.array_api.onnx_ort
  - onnx_array_api.npx.npx_array_api
- onnx_array_api.graph_api
- onnx_array_api.light_api
- onnx_array_api.translate_api
- npx_core_api
- npx.npx_functions
- npx_jit_eager
- npx.npx_numpy_tensors
- npx_tensors
- npx.npx_types
- Shortcuts
- npx.npx_var
- onnx tools
- ort
- plotting
- reference
- tools
- profiling
- Float 8
- validation.docs
Technical Details
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- Difficulty to implement an Array API for ONNX
command lines
Example gallery
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More

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Tools ¶

Some of useful tools.

Text representation¶

Plotting a graph is great but difficult to read whenthe graph is big and it is slow.onnx_array_api.plotting.text_plot.onnx_simple_text_plot()prints out a text representation.

Differences between two models¶

How to understand the differences between two modelsassuming they are producing the same outputs?ExampleCompares the conversions of the same model with different options shows how to do it.

Tools
- Text representation
- Differences between two models

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