MindSpore Studio provides the following features:

*User-friendly NPU-based programming GUI

Operator developers can customize CCE development on MindSpore Studio based on

the CCE programming depth to implement in-depth integration. The keywords of the

extended CCE language are highlighted. You can compile heterogeneous hybrid codes in

one-click mode.

*NPU-based graphical debugging

For the development of the operator acceleration library on the NPU, MindSpore Studio

provides a graphical GUI for users to implement real-time tracking of the running status

of the acceleration operators on the AI core and AI CPU.

*Automatic offline model management

Trained third-party models, such as Caffe models, can be imported to MindSpore Studio

and converted into models supported by the system. Model interfaces are generated

automatically in one-click mode, enabling interface-based model programming. For

details, see 4 "Offline Model Conversion" in the Ascend 310 MindSpore Studio Quick

Start.

* "Zero" programming for service process orchestration

For service process developers, MindSpore Studio provides the drag-and-drop

programming mode based on service nodes. You can implement service orchestration by

simply dragging and connecting service nodes. The one-stop service after orchestration,

ranging from compilation and running to result display, makes process development

smarter. "Zero" programming is involved. In this way, you can get started quickly

without extra learning costs. For details, see 3 "Building the First Machine Learning

App" in the Ascend 310 MindSpore Studio Quick Start .

*Graphical TE programming

MindSpore Studio provides the industry's first integrated development environment

based on the TVM-based Tensor Engine (TE) for programming development. Operators

can be transplanted quickly across platforms, enabling instant NPU adaption.

*Log Analysis

MindSpore Studio provides a system-wide log collection and analysis solution for the

NPU platform, improving the efficiency of locating runtime algorithm problems. A

unified log format is adopted. Visualized analysis of cross-platform logs and runtime

diagnosis runs in Web mode, improving the usability of the log analysis system.

*Performance analysis

MindSpore Studio provides graphical user interfaces (GUIs) and command-line

interfaces (CLIs) to implement efficient, easy-to-use, and flexible performance profiling

on the multi-node and multi-module heterogeneous system on the host and device.

Synchronous analysis of performance and power consumption of the NPU device is

implemented, which meets the requirements of algorithm optimization for system

performance analysis.

* Simulation

Function-level simulation execution libraries for the AI core under the Caffe framework

are provided. You can call AI core simulation by using the program.