PyTorch torch.trapz function
Pytorch torch Reference Manual
torch.trapzis a function in PyTorch used to compute trapezoidal integration, and istorch.trapezoidan alias of the function, both have the same functionality.
Function Definition
torch.trapz(y, x, dx)
Parameter Description
y: Function values to be integratedx: Values of the integration variable (optional)dx: Sampling spacing (used when x is not provided)
Usage Examples
Example
import torch
# Perform trapezoidal integration using dx
y = torch.tensor([1.0, 2.0, 3.0, 4.0])
# dx=1.0 means uniform sampling spacing
result = torch.trapz(y, dx=1.0)
print("Trapezoidal integration result (trapz):", result)
# Equivalent to trapezoid
result2 = torch.trapezoid(y, dx=1.0)
print("Trapezoidal integration result (trapezoid):", result2)
# Perform trapezoidal integration using dx
y = torch.tensor([1.0, 2.0, 3.0, 4.0])
# dx=1.0 means uniform sampling spacing
result = torch.trapz(y, dx=1.0)
print("Trapezoidal integration result (trapz):", result)
# Equivalent to trapezoid
result2 = torch.trapezoid(y, dx=1.0)
print("Trapezoidal integration result (trapezoid):", result2)
The output result is:
梯形积分结果 (trapz): tensor(7.5000) 梯形积分结果 (trapezoid): tensor(7.5000)
Other Extensions