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GE Graph Dump Format Specification

【免费下载链接】geGE（Graph Engine）是面向昇腾的图编译器和执行器，提供了计算图优化、多流并行、内存复用和模型下沉等技术手段，加速模型执行效率，减少模型内存占用。 GE 提供对 PyTorch、TensorFlow 前端的友好接入能力，并同时支持 onnx、pb 等主流模型格式的解析与编译。项目地址: https://gitcode.com/cann/ge

Overview

GE (Graph Engine) supports exporting computation graphs in multiple formats, facilitating developers to view, debug and analyze graph structures. This document introduces three dump formats:ge_proto,onnxandreadable, and their characteristics and usage methods.

Dump Format Overview

Dump Usage Methods

Automatic Dump via Environment Variables

By setting environment variables, dump files can be automatically generated during graph execution:

# Set graph dump level export DUMP_GE_GRAPH=1 # Set dump path export DUMP_GRAPH_PATH=/path/to/dump/directory # Set dump format export DUMP_GRAPH_FORMAT="ge_proto|onnx|readable"

Environment Variable Explanation:

Export via Graph API

C++

#include "ge/graph.h" // Create graph ge::Graph graph("my_graph"); // ... Build graph structure ... // Export to different formats graph.DumpToFile(ge::Graph::DumpFormat::kTxt, "suffix"); // ge_proto graph.DumpToFile(ge::Graph::DumpFormat::kOnnx, "suffix"); // onnx graph.DumpToFile(ge::Graph::DumpFormat::kReadable, "suffix"); // readable

Python

from ge.graph import Graph, DumpFormat # Create graph graph = Graph("my_graph") # ... Build graph structure ... # Method 1: Export to file graph.dump_to_file(format=DumpFormat.kTxt, suffix="suffix") # ge_proto graph.dump_to_file(format=DumpFormat.kOnnx, suffix="suffix") # onnx graph.dump_to_file(format=DumpFormat.kReadable, suffix="suffix") # readable # Method 2: Direct print (only readable format supported) print(graph) # Direct print readable format to console to view graph structure readable_str = str(graph) # Get readable format string, can be used for saving or further processing

For detailed explanation ofge.graph, please refer to graph module

Appendix

Netron Visualization Instructions

When openingge_onnx*.pbtxtfile in Netron:

• Node representation: Each node in the graph represents an operator

• Edge relationships: Edge relationships are represented by solid lines with arrows, arrow direction indicates data flow direction (from source node to target node)

• Node information viewing: Click operator node to view operator detailed information, key information includes:

  Attribute Name	Explanation
  type	Operator type
  name	Operator name
  input_desc_dtype:x	Data type of x-th input
  input_desc_layout:x	Data format of x-th input
  input_desc_shape:x	Shape of x-th input
  output_desc_dtype:x	Data type of x-th output
  output_desc_layout:x	Data format of x-th output
  output_desc_shape:x	Shape of x-th output

【免费下载链接】geGE（Graph Engine）是面向昇腾的图编译器和执行器，提供了计算图优化、多流并行、内存复用和模型下沉等技术手段，加速模型执行效率，减少模型内存占用。 GE 提供对 PyTorch、TensorFlow 前端的友好接入能力，并同时支持 onnx、pb 等主流模型格式的解析与编译。项目地址: https://gitcode.com/cann/ge