PyCharm 调试过程中控制台 (Console) 窗口内运行命令 - 实时获取中间状态

PyCharm 调试过程中控制台 Console 窗口内运行命令 - 实时获取中间状态

• [1. yongqiang.py](#1. yongqiang.py)
• [2. Debugger -> Console](#2. Debugger -> Console)
• [3. Show Python Prompt](#3. Show Python Prompt)
• References

1. yongqiang.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# yongqiang cheng
 
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
 
import torch
 
data = torch.randn(4, 4)
print("data:", data)
 
data0 = torch.triu(data)
data1 = torch.triu(data, diagonal=1)
data_1 = torch.triu(data, diagonal=-1)
 
print("data0:\n", data0)
print("data1:\n", data1)
print("data_1:\n", data_1)

/home/yongqiang/miniconda3/envs/pt-1.4_py-3.6/bin/python /home/yongqiang/pytorch_work/end2end-asr-pytorch-example/yongqiang.py
data: tensor([[-1.7405, -1.1455, -0.4935, -0.3035],
        [-0.0731,  0.5049, -0.1989,  0.1956],
        [ 1.5103,  0.5175, -0.7471,  1.3337],
        [-0.5511, -0.7732,  1.4990, -0.1043]])
data0:
 tensor([[-1.7405, -1.1455, -0.4935, -0.3035],
        [ 0.0000,  0.5049, -0.1989,  0.1956],
        [ 0.0000,  0.0000, -0.7471,  1.3337],
        [ 0.0000,  0.0000,  0.0000, -0.1043]])
data1:
 tensor([[ 0.0000, -1.1455, -0.4935, -0.3035],
        [ 0.0000,  0.0000, -0.1989,  0.1956],
        [ 0.0000,  0.0000,  0.0000,  1.3337],
        [ 0.0000,  0.0000,  0.0000,  0.0000]])
data_1:
 tensor([[-1.7405, -1.1455, -0.4935, -0.3035],
        [-0.0731,  0.5049, -0.1989,  0.1956],
        [ 0.0000,  0.5175, -0.7471,  1.3337],
        [ 0.0000,  0.0000,  1.4990, -0.1043]])
 
Process finished with exit code 0

2. Debugger -> Console

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3. Show Python Prompt

References

1 Yongqiang Cheng, https://yongqiang.blog.csdn.net/