Congli Gao, Longfei Li, Yongxiong Liang, Chongming Liu, Pengting Luo, Yanming Miao, Gongchang Ou, Kai Wen, Yue Wang, Lihua Ye, Ximiao Yu, Yunshu Zhang, Ning Ma, Yihui Zhang, Hong Sheng, Ran Mo, Zhaohong Guo, Tianshu Liang, Shuqiang Jiang, Yanjun Peng, Haitao Yang, Jiabin Liu, Han Gao, Xiaohui Li, Ngaifai Ng, Hui Pan, Weifeng Huang, Yifan Xia, Xuefeng Feng, Yanxi Wei.
Contributions of any kind are welcome!
### Major Features and Improvements
#### Profiling
* [STABLE] Support memory profiling.(Ascend)
* [STABLE] Support host cpu utilization profiling.(Ascend/GPU)
* [STABLE] Support timeline for Host&Device Hybrid Training.(Ascend/GPU)
* [STABLE] Support show step breakdown information(Step Interval, Forward and Backward Propagation, and Step Tail)of each device in cluster profiling ui page.(Ascend)
#### MindConverter
* [STABLE] Support both classic computer vision and bert model definition script and trained weights migration from TensorFlow or PyTorch.
* [STABLE] Support ONNX model migration to improve the usability of PyTorch model migration.
#### Model Explanation
* [STABLE] Support counterfactual explanation for image classification.
### API Change
#### Backwards Compatible Change
##### Python API
###### add parameter `export_options` for `SummaryCollector` and `SummaryRecord`([!10881](https://gitee.com/mindspore/mindspore/pulls/10881))
Perform custom operations on the export data. You can customize the export data with a dictionary. For example, you can set `{'tensor_format': 'npy'}` to export tensor as npy file.
###### add parameter `raise_exception` for `SummaryRecord`([!10436](https://gitee.com/mindspore/mindspore/pulls/10436))
The parameter `raise_exception` determines whether to throw an exception when an exception occurs.
###### add API `register_uncertainty` for `explainer.ImageClassificationRunner`([!11309](https://gitee.com/mindspore/mindspore/pulls/11309))
`register_uncertainty` helps register uncertainty instance to compute the epistemic uncertainty base on the Bayes’ theorem.
###### add API `register_hierarchical_occlusion` for `explainer.ImageClassificationRunner`([!11309](https://gitee.com/mindspore/mindspore/pulls/11309))
###### `MindConverter` removes support for pth format model, `--project_path` deleted([!1253](https://gitee.com/mindspore/mindinsight/pulls/1253))
The pth format model is not supported anymore, please use ONNX to migrate.
### Bug fixes
* Error information missing when running on an unsupported device (e.g, cpu). [!11901](https://gitee.com/mind_spore/dashboard/projects/mindspore/mindspore/pulls/11801)
# MindSpore 1.1.0 Release Notes
## MindInsight
### Major Features and Improvements
#### Precision tuning framework
* Support useful checks on weights, activations, gradients and tensors, such as:
* check unchanged weight
@@ -15,17 +79,17 @@
* Support recommending watch points to find common precision problems.
* Support debugger on multigraph network.
### Profiler
#### Profiler
* Support GPU step trace profiling.
* Support GPU minddata profiling.
### MindConverter
#### MindConverter
* Support TensorFlow model definition script to MindSpore for CV field.
* Conversion capability of PyTorch is enhanced.
### Model Explanation
#### Model Explanation
Provide explanations and their benchmarks for image classification deep CNN models.
@@ -33,28 +97,28 @@ Provide explanations and their benchmarks for image classification deep CNN mode
* 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.
## API Change
### API Change
### Improvements
#### Improvements
#### Command Line Interface
##### Command Line Interface
* `--enable_debugger`: Support both 1 and True ([!1051](https://gitee.com/mindspore/mindinsight/pulls/1051))
* `ENABLE_MS_DEBUGGER`: Support both 1 and True ([!10199](https://gitee.com/mindspore/mindspore/pulls/10199))
* `parse_summary`: Add parse_summary function to convert summary file to image file and csv file ([!774](https://gitee.com/mindspore/mindinsight/pulls/774))
## Bugfixes
### Bugfixes
### Profiler
#### Profiler
* Fix parser 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
#### 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.
@@ -148,13 +220,13 @@ Contributions of any kind are welcome!
* `SummaryRecord` provide new API `set_mode` to distinguish summary persistence mode at different stages.
* MindConverter supports conversion of more operators and networks, and improves its ease of use.
## Bugfixes
### 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)).