README.md

metadata

datasets:
  - uoft-cs/cifar10
pipeline_tag: image-classification

https://github.com/mlcommons/tiny/blob/master/benchmark/training/image_classification/trained_models/pretrainedResnet.tflite

Resnet8

• Origin: https://github.com/mlcommons/tiny/blob/master/benchmark/training/image_classification/

Model

• ONNX attributes:
  • opset : 13
  • Operators: 45 (10 types)
    • Add: 3
    • Conv2D: 2
    • PaddedConv2D: 7
    • Producer: 21
    • ReLU: 7
    • AveragePooling: 1
    • Transpose: 1
    • Reshape: 1
    • FC: 1
    • Softmax: 1

Aidge support

Note: We tested this network for the following features. If you encounter any error please open an issue. Features not tested in CI may not be functional.

Feature	Tested in CI
ONNX import	❌
Backend CPU	❌

CIFAR10

• Input:
  • size: [N, 3, 32, 32]
  • format : NCHW
• Output
  • size: [N, 10]