z1 = z1.view(b, c, -1)
时间: 2024-02-23 14:56:01 浏览: 12
这行代码的作用是将一个大小为(b, c, h, w)的四维张量 z1 转换为一个大小为(b, c, hw)的三维张量,其中 hw 表示 h 和 w 的乘积。具体来说,-1 表示 PyTorch 可以根据张量的总大小自动推断出该维度的大小。这样做的目的通常是为了将张量送入全连接层等只接受二维输入的模块中。
相关问题
Try to plot three dimensional graph of the function z=2*x^2+y^2 , where x=sin3t and y=cos3t . The range of t should be set to [-3, 3], and the ranges of x and y axes are both [-1.2, 1.2]. Requirement: Plot the three-dimensional (3-D) mesh graph, 3-D surface graph and 3-D surface graph with contour lines, respectively. In addition, plot the 2-D sectional view graph for x=1.
Sure, I can help you with that. Here's the code in Python using matplotlib and numpy libraries:
```python
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# Define the function
def f(x, y):
return 2*x**2 + y**2
# Define the range of t
t = np.linspace(-3, 3, 100)
# Calculate the x and y values
x = np.sin(3*t)
y = np.cos(3*t)
# Calculate the z values
z = f(x, y)
# Create a meshgrid for the x and y values
X, Y = np.meshgrid(x, y)
# Create a figure and three subplots for the different types of plots
fig = plt.figure(figsize=(12, 6))
ax1 = fig.add_subplot(2, 3, 1, projection='3d')
ax1.plot_wireframe(X, Y, z)
ax1.set_xlabel('X')
ax1.set_ylabel('Y')
ax1.set_zlabel('Z')
ax1.set_title('3D Mesh Graph')
ax2 = fig.add_subplot(2, 3, 2, projection='3d')
ax2.plot_surface(X, Y, z, cmap='viridis')
ax2.set_xlabel('X')
ax2.set_ylabel('Y')
ax2.set_zlabel('Z')
ax2.set_title('3D Surface Graph')
ax3 = fig.add_subplot(2, 3, 3, projection='3d')
ax3.plot_surface(X, Y, z, cmap='viridis')
ax3.contour(X, Y, z, zdir='z', offset=-1, cmap='viridis')
ax3.set_xlabel('X')
ax3.set_ylabel('Y')
ax3.set_zlabel('Z')
ax3.set_title('3D Surface Graph with Contour Lines')
# Create a 2D sectional view graph for x=1
x1 = 1
y1 = np.linspace(-1.2, 1.2, 100)
z1 = f(x1, y1)
ax4 = fig.add_subplot(2, 3, 4)
ax4.plot(y1, z1)
ax4.set_xlabel('Y')
ax4.set_ylabel('Z')
ax4.set_title('2D Sectional View Graph for x=1')
plt.show()
```
This code will generate a figure with six subplots. The first three subplots are the 3D mesh graph, 3D surface graph, and 3D surface graph with contour lines, respectively. The fourth subplot is the 2D sectional view graph for x=1. The ranges of the x and y axes are both [-1.2, 1.2], and the range of t is set to [-3, 3].
def set_view_trunc(self, new_value): xr=[-5, 5] yr=[-5, 5] zr=[-5, 5] xr[0]=self.ui.horizontalSlider_x0.value()/10000 xr[1]=self.ui.horizontalSlider_x1.value()/10000 yr[0]=self.ui.horizontalSlider_y0.value()/10000 yr[1]=self.ui.horizontalSlider_y1.value()/10000 zr[0]=self.ui.horizontalSlider_z0.value()/10000 zr[1]=self.ui.horizontalSlider_z1.value()/10000 self.ui.lineEdit_horizontalSlider_x0.setText(str(xr[0])) self.ui.lineEdit_horizontalSlider_x1.setText(str(xr[1])) self.ui.lineEdit_horizontalSlider_y0.setText(str(yr[0])) self.ui.lineEdit_horizontalSlider_y1.setText(str(yr[1])) self.ui.lineEdit_horizontalSlider_z0.setText(str(zr[0])) self.ui.lineEdit_horizontalSlider_z1.setText(str(zr[1])) self.Truncate(self.vtk_widget.polydata,self.vtk_widget.polydata_show,xr,yr,zr) self.vtk_widget.SetPointsScalars(self.vtk_widget.polydata_show) self.vtk_widget.render_window.Render()
这段代码是一个函数,用来设置三维可视化界面的截断范围。具体来说,它从界面上的水平滑块控件获取三个方向的截断范围,然后更新界面上的文本框控件来显示当前的截断范围。接着,它调用名为 `Truncate` 的函数去截断三维场景中的数据,把截断后的结果保存在 `vtk_widget.polydata_show` 中。最后,它调用 `SetPointsScalars` 和 `render_window.Render` 函数来更新显示截断后的场景。
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