* Support 4 benchmark methods: Localization, Faithfulness, Class Sensitivity, Robustness
* Provide a high-level API (ImageClassificationRunner) for users to execute explanation methods and benchmark methods and store the results easily.
## Bugfixes
### Profiler
* Fix paser framework file error if the profiling data of one op is saved separately to two files.([!7824](https://gitee.com/mindspore/mindspore/pulls/7824))
### Model Explanation
* Add reset_offset when CRCLengthError and CRCError happen([!955](https://gitee.com/mindspore/mindinsight/pulls/955))
* FIx the bug which ignore the sample_event when sample_id == 0.([!968](https://gitee.com/mindspore/mindinsight/pulls/968))
* Provide performance analyse tool for the input data pipeline.
* Provide timeline analyse tool, which can show the detail of the streams/tasks.
@@ -77,21 +143,23 @@ Contributions of any kind are welcome!
* MindConverter supports conversion of more operators and networks, and improves its ease of use.
## Bugfixes
* Fix FileNotFound exception by adding robust check for summary watcher ([!281](https://gitee.com/mindspore/mindinsight/pulls/281)).
* UI fix operator table sort jump problem ([!283](https://gitee.com/mindspore/mindinsight/pulls/283)).
* Dataset serializer return schema json str when schema type is `mindspore.dataset.engine.Schema` ([!2185](https://gitee.com/mindspore/mindspore/pulls/2185)).
Now you can use [`HistogramSummary`](https://www.mindspore.cn/doc/api_python/en/master/mindspore/mindspore.ops.html#mindspore.ops.HistogramSummary) and MindInsight to record and visualize distribution info of tensors. See our [tutorial](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/visualization_tutorials.html).
Now you can use [`HistogramSummary`](https://www.mindspore.cn/doc/api_python/en/master/mindspore/mindspore.ops.html#mindspore.ops.HistogramSummary) and MindInsight to record and visualize distribution info of tensors. See our [tutorial](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/visualization_tutorials.html).
* Lineage support Custom information
* GPU support
* Model and dataset tracking linkage support
## Bugfixes
## Bugfixes
* Reduce cyclomatic complexity of `list_summary_directories` ([!11](https://gitee.com/mindspore/mindinsight/pulls/11)).
* Fix unsafe functions and duplication files and redundant codes ([!14](https://gitee.com/mindspore/mindinsight/pulls/14)).
* Provides and displays training process information, including computational graphs and training process indicators.
* Provides and displays training process information, including computational graphs and training process indicators.
* Training result tracing
* Provides functions of tracing and visualizing model training parameter information, including filtering and sorting of training data, model accuracy and training hyperparameters.
* Provides functions of tracing and visualizing model training parameter information, including filtering and sorting of training data, model accuracy and training hyperparameters.