山…隹

摘要： vim ~/.bashrc # 注釋掉或刪除舊的 CUDA 路徑 # export PATH=/usr/local/cuda-11.2/bin:$PATH # export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64:$LD_LIBRARY_PATH # 添 閱讀全文

摘要： https://github.com/pytorch/hub 代碼 https://pytorch.org/hub/ 解釋 閱讀全文

摘要： import matplotlib # matplotlib.use('TkAgg') matplotlib.use('agg') 閱讀全文

摘要： import tqdm 閱讀全文

摘要： import einops # 創建一個形狀為(batch_size, seq_length, hidden_dim)的張量 tensor = tf.constant([[[1, 2, 3, 4], [5, 6, 7, 8]], [[9, 10, 11, 12], [13, 14, 15, 16]] 閱讀全文

摘要： import tensorflow as tf tf.config.experimental_run_functions_eagerly(True) 然后就可以訓練時在模型內部打斷點，調試內部結構了 閱讀全文

摘要： ai# 子圖間距plt.tight_layout(rect=[0, 0.2, 1, 0.9]) # 自適應圖是否重疊,參數是坐標,是子圖的覆蓋區域,從左0到右1,從下0到上0.9 plt.subplots_adjust(left=None, bottom=None, right=None, top= 閱讀全文

摘要： # 模型加載 MS16_path = './MS_Unet16_split-1_warm(10)_lr(0.01)_Base/fold_4/last_model/Modelsave' MS16_bor_path = './MS16_bor1_split-1_warm(10)_lr(0.01)_Bas 閱讀全文

摘要： import numpy as np import matplotlib.pyplot as plt from pynverse import inversefunc def my_tah(x): sigma = -0.1 # base_tah = np.tanh(x) # base_tah = ( 閱讀全文

摘要： import numpy as np import matplotlib.pyplot as plt import random import math x_size = 100000 X = np.linspace(-1,1,x_size) Y1 = +np.sqrt(1-np.square(X) 閱讀全文