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PyTorch torch.nn Reference Manual

PyTorch torch.addmv Function

• Pytorch torch Reference Manual

torch.addmv is a PyTorch function used to add the result of a matrix-vector multiplication to an input vector. It performs matrix-vector multiplication, then adds the result to input.

Function Definition

torch.addmv(input, mat, vec, *, beta=1.0, alpha=1.0, out=None) Parameters:

• input (Tensor): Input vector or matrix to be added to the result.
• mat (Tensor): Input matrix with shape (n, m).
• vec (Tensor): Input vector with shape (m,) or (m, 1).
• beta (float, optional): Multiplier for input, default is 1.0.
• alpha (float, optional): Multiplier for the mat @ vec result, default is 1.0.
• out (Tensor, optional): Output tensor.

Returns:

• torch.Tensor: Returns the sum of the matrix-vector multiplication result and the input vector.

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Usage Example

Example

import torch

Create input vector, matrix, and vector

input= torch.randn(3)

mat = torch.randn(3,4)

vec = torch.randn(4)

Execute addmv

result = torch.addmv(input, mat, vec)

print("Input vector shape:",input.shape)

print("Matrix shape:", mat.shape)

print("Vector shape:", vec.shape)

print("Result shape:", result.shape)

print(result)

Output:

Input vector shape: torch.Size()Matrix shape: torch.Size([3, 4])Vector shape: torch.Size()Result shape: torch.Size() tensor([-1.0182, -0.4901, -0.9490])

• Pytorch torch Reference Manual