1. 先安裝 python3 的 python3-venv 虛擬環境, 並安裝到目錄
sudo apt install python3-venv
cd ~
python3 -m venv venv
2. 進入 python3 虛擬環境, 安裝 autograd
cd ~
source venv/bin/activate
pip install autograd
3. 編輯以下測試檔: xed ~/test_grad.py
from autograd import elementwise_grad as egrad
import autograd.numpy as audo_np
import matplotlib.pyplot as plt
tanh = lambda t: (1.0 - audo_np.exp((-2 * t))) / (1.0 + audo_np.exp(-(2 * t)))
derivative_ = lambda n, f: derivative_(n - 1, derivative_(1, f)) if n > 1 else egrad(f) # dⁿf(x)/dx
#
x = audo_np.linspace(-7, 7, 500)
y0 = tanh(x)
y1 = derivative_(1, tanh)(x)
y2 = derivative_(2, tanh)(x)
y3 = derivative_(3, tanh)(x)
y4 = derivative_(4, tanh)(x)
#
plt.plot(x, y0, x, y1, x, y2, x, y3, x, y4)
plt.show()
4. 啟用虛擬環境, 執行看看:
cd ~
source venv/bin/activate
python3 test_grad.py
p.s.如果不想安裝 autograd, 可以上官網把整個目錄下載回來: https://github.com/HIPS/autograd
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