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| # MindSpore 1.2.0-rc1 Release Notes | |||
| # MindInsight 1.2.0-rc1 | |||
| ## MindInsight | |||
| ## MindInsight 1.2.0 Release Notes | |||
| ### 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) | |||
| - [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. | |||
| - [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. | |||
| - [STABLE] Support counterfactual explanation for image classification. | |||
| ### API Change | |||
| @@ -50,9 +50,9 @@ 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) | |||
| - Error information missing when running on an unsupported device (e.g, cpu). [!11801](https://gitee.com/mindspore/mindspore/pulls/11801) | |||
| ### Thanks to our Contributors | |||
| ### Contributors | |||
| Thanks goes to these wonderful people: | |||
| @@ -60,42 +60,42 @@ Congli Gao, Longfei Li, Yongxiong Liang, Chongming Liu, Pengting Luo, Yanming Mi | |||
| Contributions of any kind are welcome! | |||
| # MindSpore 1.1.0 Release Notes | |||
| # MindInsight 1.1.0 | |||
| ## MindInsight | |||
| ## MindInsight 1.1.0 Release Notes | |||
| ### Major Features and Improvements | |||
| #### Precision tuning framework | |||
| * Support useful checks on weights, activations, gradients and tensors, such as: | |||
| * check unchanged weight | |||
| * check weight change above threshold | |||
| * check activation range | |||
| * check gradient vanishing | |||
| * check tensor overflow | |||
| * Support rechecking with new watch points on the same data. | |||
| * Newly designed tensor view with fix suggestions and tensor context to quickly locate root cause of problems. | |||
| * Support recommending watch points to find common precision problems. | |||
| * Support debugger on multigraph network. | |||
| - Support useful checks on weights, activations, gradients and tensors, such as: | |||
| - check unchanged weight | |||
| - check weight change above threshold | |||
| - check activation range | |||
| - check gradient vanishing | |||
| - check tensor overflow | |||
| - Support rechecking with new watch points on the same data. | |||
| - Newly designed tensor view with fix suggestions and tensor context to quickly locate root cause of problems. | |||
| - Support recommending watch points to find common precision problems. | |||
| - Support debugger on multigraph network. | |||
| #### Profiler | |||
| * Support GPU step trace profiling. | |||
| * Support GPU minddata profiling. | |||
| - Support GPU step trace profiling. | |||
| - Support GPU minddata profiling. | |||
| #### MindConverter | |||
| * Support TensorFlow model definition script to MindSpore for CV field. | |||
| * Conversion capability of PyTorch is enhanced. | |||
| - Support TensorFlow model definition script to MindSpore for CV field. | |||
| - Conversion capability of PyTorch is enhanced. | |||
| #### Model Explanation | |||
| Provide explanations and their benchmarks for image classification deep CNN models. | |||
| * Support 6 explanation methods: Gradient, Deconvolution, GuidedBackprop, GradCAM, RISE, Occlusion | |||
| * 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. | |||
| - Support 6 explanation methods: Gradient, Deconvolution, GuidedBackprop, GradCAM, RISE, Occlusion | |||
| - 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 | |||
| @@ -103,20 +103,20 @@ Provide explanations and their benchmarks for image classification deep CNN mode | |||
| ##### 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)) | |||
| - `--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 | |||
| #### 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)) | |||
| - 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 | |||
| * 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)) | |||
| - 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)) | |||
| ### Thanks to our Contributors | |||
| @@ -126,22 +126,22 @@ Congli Gao, Jianfeng Zhu, Zhenzhong Kou, Longfei Li, Yongxiong Liang, Chongming | |||
| Contributions of any kind are welcome! | |||
| # MindSpore 1.0.0 Release Notes | |||
| # MindInsight 1.0.0 | |||
| ## MindInsight | |||
| ## MindInsight 1.0.0 Release Notes | |||
| ### Major Features and Improvements | |||
| * Release MindSpore Debugger. | |||
| * MindConverter ability is enhanced, supporting scripts generation based on PyTorch model. | |||
| * Support training hyper-parameter importance visualization. | |||
| * Support GPU timeline. | |||
| - Release MindSpore Debugger. | |||
| - MindConverter ability is enhanced, supporting scripts generation based on PyTorch model. | |||
| - Support training hyper-parameter importance visualization. | |||
| - Support GPU timeline. | |||
| ### Bugfixes | |||
| * Optimize aicpu display method. ([!595](https://gitee.com/mindspore/mindinsight/pulls/595/files)) | |||
| * Add the summary loading switch mechanism. ([!601](https://gitee.com/mindspore/mindinsight/pulls/601/files)) | |||
| * Detect a summary dir having summary files or not. ([!632](https://gitee.com/mindspore/mindinsight/pulls/632/files)) | |||
| - Optimize aicpu display method. ([!595](https://gitee.com/mindspore/mindinsight/pulls/595/files)) | |||
| - Add the summary loading switch mechanism. ([!601](https://gitee.com/mindspore/mindinsight/pulls/601/files)) | |||
| - Detect a summary dir having summary files or not. ([!632](https://gitee.com/mindspore/mindinsight/pulls/632/files)) | |||
| ### Thanks to our Contributors | |||
| @@ -151,21 +151,21 @@ Congli Gao, Jianfeng Zhu, Zhenzhong Kou, Hongzhang Li, Longfei Li, Yongxiong Lia | |||
| Contributions of any kind are welcome! | |||
| # MindSpore 0.7.0-beta Release Notes | |||
| # MindInsight 0.7.0-beta | |||
| ## MindInsight | |||
| ## MindInsight 0.7.0 Release Notes | |||
| ### Major Features and Improvements | |||
| * Optimize node name display in computation graph. | |||
| * MindSpore Profiler supports network training with GPU operators. | |||
| * MindWizard generates classic network scripts according to user preference. | |||
| * Web UI supports language internationalization, including both Chinese and English. | |||
| - Optimize node name display in computation graph. | |||
| - MindSpore Profiler supports network training with GPU operators. | |||
| - MindWizard generates classic network scripts according to user preference. | |||
| - Web UI supports language internationalization, including both Chinese and English. | |||
| ### Bugfixes | |||
| * Optimize UI page initialization to handle timeout requests. ([!503](https://gitee.com/mindspore/mindinsight/pulls/503)) | |||
| * Fix the line break problem when the profiling file number is too long. ([!532](https://gitee.com/mindspore/mindinsight/pulls/532)) | |||
| - Optimize UI page initialization to handle timeout requests. ([!503](https://gitee.com/mindspore/mindinsight/pulls/503)) | |||
| - Fix the line break problem when the profiling file number is too long. ([!532](https://gitee.com/mindspore/mindinsight/pulls/532)) | |||
| ### Thanks to our Contributors | |||
| @@ -175,22 +175,22 @@ Congli Gao, Weifeng Huang, Zhenzhong Kou, Hongzhang Li, Longfei Li, Yongxiong Li | |||
| Contributions of any kind are welcome! | |||
| # MindSpore 0.6.0-beta Release Notes | |||
| # MindInsight 0.6.0-beta | |||
| ## MindInsight | |||
| ## MindInsight 0.6.0 Release Notes | |||
| ### Major Features and Improvements | |||
| * Provide monitoring capabilities for each of Ascend AI processor and other hardware resources, including CPU and memory. | |||
| * Visualization of weight, gradient and other tensor data in model training. | |||
| * Provide tabular from presentation of tensor data. | |||
| * Provide histogram to show the distribution of tensor data and its change over time. | |||
| - Provide monitoring capabilities for each of Ascend AI processor and other hardware resources, including CPU and memory. | |||
| - Visualization of weight, gradient and other tensor data in model training. | |||
| - Provide tabular from presentation of tensor data. | |||
| - Provide histogram to show the distribution of tensor data and its change over time. | |||
| ### Bugfixes | |||
| * UI fix for the error message display mode of the tensor during real-time training. ([!465](https://gitee.com/mindspore/mindinsight/pulls/465)) | |||
| * The summary file size is larger than max_file_size. ([!3481](https://gitee.com/mindspore/mindspore/pulls/3481)) | |||
| * Fix real-time training error when disk is full. ([!3058](https://gitee.com/mindspore/mindspore/pulls/3058)) | |||
| - UI fix for the error message display mode of the tensor during real-time training. ([!465](https://gitee.com/mindspore/mindinsight/pulls/465)) | |||
| - The summary file size is larger than max_file_size. ([!3481](https://gitee.com/mindspore/mindspore/pulls/3481)) | |||
| - Fix real-time training error when disk is full. ([!3058](https://gitee.com/mindspore/mindspore/pulls/3058)) | |||
| ### Thanks to our Contributors | |||
| @@ -200,31 +200,31 @@ Congli Gao, Weifeng Huang, Zhenzhong Kou, Hongzhang Li, Longfei Li, Yongxiong Li | |||
| Contributions of any kind are welcome! | |||
| # MindSpore 0.5.0-beta Release Notes | |||
| # MindInsight 0.5.0-beta | |||
| ## MindInsight | |||
| ## MindInsight 0.5.0 Release Notes | |||
| ### Major Features and Improvements | |||
| * MindSpore Profiler | |||
| * Provide performance analyse tool for the input data pipeline. | |||
| * Provide timeline analyse tool, which can show the detail of the streams/tasks. | |||
| * Provide a tool to visualize the step trace information, which can be used to analyse the general performance of the neural network in each phase. | |||
| * Provide profiling guides for the users to find the performance bottlenecks quickly. | |||
| * CPU summary operations support for CPU summary data. | |||
| * Over threshold warn support in scalar training dashboard. | |||
| * Provide more user-friendly callback function for visualization | |||
| * Provide unified callback `SummaryCollector` to log most commonly visualization event. | |||
| * Discard the original visualization callback `SummaryStep`, `TrainLineage` and `EvalLineage`. | |||
| * `SummaryRecord` provide new API `add_value` to collect data into cache for summary persistence. | |||
| * `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. | |||
| - MindSpore Profiler | |||
| - Provide performance analyse tool for the input data pipeline. | |||
| - Provide timeline analyse tool, which can show the detail of the streams/tasks. | |||
| - Provide a tool to visualize the step trace information, which can be used to analyse the general performance of the neural network in each phase. | |||
| - Provide profiling guides for the users to find the performance bottlenecks quickly. | |||
| - CPU summary operations support for CPU summary data. | |||
| - Over threshold warn support in scalar training dashboard. | |||
| - Provide more user-friendly callback function for visualization | |||
| - Provide unified callback `SummaryCollector` to log most commonly visualization event. | |||
| - Discard the original visualization callback `SummaryStep`, `TrainLineage` and `EvalLineage`. | |||
| - `SummaryRecord` provide new API `add_value` to collect data into cache for summary persistence. | |||
| - `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 | |||
| * 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)). | |||
| - 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)). | |||
| ### Thanks to our Contributors | |||
| @@ -234,31 +234,31 @@ Chao Chen, Congli Gao, Ye Huang, Weifeng Huang, Zhenzhong Kou, Hongzhang Li, Lon | |||
| Contributions of any kind are welcome! | |||
| # MindSpore 0.3.0-alpha Release Notes | |||
| # MindInsight 0.3.0-alpha | |||
| ## MindInsight | |||
| ## MindInsight 0.3.0 Release Notes | |||
| ### Major Features and Improvements | |||
| * Profiling | |||
| * Provide easy to use apis for profiling start/stop and profiling data analyse (on Ascend only). | |||
| * Provide operators performance display and analysis on MindInsight UI. | |||
| * Large scale network computation graph visualization. | |||
| * Optimize summary record implementation and improve its performance. | |||
| * Improve lineage usability | |||
| * Optimize lineage display and enrich tabular operation. | |||
| * Decouple lineage callback from `SummaryRecord`. | |||
| * Support scalar compare of multiple runs. | |||
| * Scripts conversion from other frameworks | |||
| * Support for converting PyTorch scripts within TorchVision to MindSpore scripts automatically. | |||
| - Profiling | |||
| - Provide easy to use apis for profiling start/stop and profiling data analyse (on Ascend only). | |||
| - Provide operators performance display and analysis on MindInsight UI. | |||
| - Large scale network computation graph visualization. | |||
| - Optimize summary record implementation and improve its performance. | |||
| - Improve lineage usability | |||
| - Optimize lineage display and enrich tabular operation. | |||
| - Decouple lineage callback from `SummaryRecord`. | |||
| - Support scalar compare of multiple runs. | |||
| - Scripts conversion from other frameworks | |||
| - Support for converting PyTorch scripts within TorchVision to MindSpore scripts automatically. | |||
| ### Bugfixes | |||
| * Fix pb files loaded problem when files are modified at the same time ([!53](https://gitee.com/mindspore/mindinsight/pulls/53)). | |||
| * Fix load data thread stuck in `LineageCacheItemUpdater` ([!114](https://gitee.com/mindspore/mindinsight/pulls/114)). | |||
| * Fix samples from previous steps erased due to tags size too large problem ([!86](https://gitee.com/mindspore/mindinsight/pulls/86)). | |||
| * Fix image and histogram event package error ([!1143](https://gitee.com/mindspore/mindspore/pulls/1143)). | |||
| * Equally distribute histogram ignoring actual step number to avoid large white space ([!66](https://gitee.com/mindspore/mindinsight/pulls/66)). | |||
| - Fix pb files loaded problem when files are modified at the same time ([!53](https://gitee.com/mindspore/mindinsight/pulls/53)). | |||
| - Fix load data thread stuck in `LineageCacheItemUpdater` ([!114](https://gitee.com/mindspore/mindinsight/pulls/114)). | |||
| - Fix samples from previous steps erased due to tags size too large problem ([!86](https://gitee.com/mindspore/mindinsight/pulls/86)). | |||
| - Fix image and histogram event package error ([!1143](https://gitee.com/mindspore/mindspore/pulls/1143)). | |||
| - Equally distribute histogram ignoring actual step number to avoid large white space ([!66](https://gitee.com/mindspore/mindinsight/pulls/66)). | |||
| ### Thanks to our Contributors | |||
| @@ -268,27 +268,27 @@ Chao Chen, Congli Gao, Ye Huang, Weifeng Huang, Zhenzhong Kou, Hongzhang Li, Lon | |||
| Contributions of any kind are welcome! | |||
| # MindSpore 0.2.0-alpha Release Notes | |||
| # MindInsight 0.2.0-alpha | |||
| ## MindInsight | |||
| ## MindInsight 0.2.0 Release Notes | |||
| ### Major Features and Improvements | |||
| * Parameter distribution graph (Histogram). | |||
| - Parameter distribution graph (Histogram). | |||
| 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 | |||
| - Lineage support Custom information | |||
| - GPU support | |||
| - Model and dataset tracking linkage support | |||
| ### 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)). | |||
| * Fix sha256 checksum missing bug ([!24](https://gitee.com/mindspore/mindinsight/pulls/24)). | |||
| * Fix graph bug when node name is empty ([!34](https://gitee.com/mindspore/mindinsight/pulls/34)). | |||
| * Fix start/stop command error code incorrect ([!44](https://gitee.com/mindspore/mindinsight/pulls/44)). | |||
| - 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)). | |||
| - Fix sha256 checksum missing bug ([!24](https://gitee.com/mindspore/mindinsight/pulls/24)). | |||
| - Fix graph bug when node name is empty ([!34](https://gitee.com/mindspore/mindinsight/pulls/34)). | |||
| - Fix start/stop command error code incorrect ([!44](https://gitee.com/mindspore/mindinsight/pulls/44)). | |||
| ### Thanks to our Contributors | |||
| @@ -298,12 +298,12 @@ Ye Huang, Weifeng Huang, Zhenzhong Kou, Pengting Luo, Hongzhang Li, Yongxiong Li | |||
| Contributions of any kind are welcome! | |||
| # MindSpore 0.1.0-alpha Release Notes | |||
| # MindInsight 0.1.0-alpha | |||
| ## MindInsight | |||
| ## MindInsight 0.1.0 Release Notes | |||
| * Training process observation | |||
| * Provides and displays training process information, including computational graphs and training process indicators. | |||
| - Training process observation | |||
| - 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. | |||
| - 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. | |||