CODEWITHSUNDEEP
pythonpytorchmultiplicationtensor
Python
Python

Reputation: 417

Multiplication of tensors with different dimensions

Given

a = torch.randn(40, 6)
b = torch.randn(40)

I want to multiply each row of a with scalar of b,i.e

c0 = a[0]*b[0]
c1 = a[1]*b[1]
...

This works just fine. But is there more elegant way of doing this?

Thanks

Upvotes: 0

Views: 178

Answers (1)

Berriel
Berriel

Reputation: 13601

You want c.shape = (40, 6)? Then, simply:

c = a * b.unsqueeze(1)

Example with (2, 3) to make it readable:

import torch

torch.manual_seed(2021)

a = torch.randn(2, 3)
# > tensor([[ 2.2871,  0.6413, -0.8615],
# >         [-0.3649, -0.6931,  0.9023]])

b = torch.randn(2)
# > tensor([-2.7183, -1.4478])

c = a * b.unsqueeze(1)
# > tensor([[-6.2169, -1.7434,  2.3418],
# >         [ 0.5284,  1.0035, -1.3064]])

Upvotes: 2

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