A track evaluate a model's performance.
The following metrics are recorded:
- FLOPS: floating point operations per second. - Time, which should be interpreted with wisdom. Indeed time can depend on the architecture and local resource situations. Comparison via FLOPS should be preferred. - The model's memory footprint. - The model's predictive performance on the track's dataset.¶
The name of the track.
The dataset from which samples will be retrieved. A slice must be used if the dataset is a data generator.
The metric(s) used to track performance.
n_samples (int) – defaults to
The number of samples that are going to be processed by the track.