PyTorch Element Wise Multiplication: Element-Wise Matrix Multiplication
PyTorch Element Wise Multiplication - Calculate the Element-Wise multiplication of matrices in PyTorch to get the Hadamard Product
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We import PyTorch.
Then we print the PyTorch version we are using.
We are using PyTorch 0.2.0_4.
In this video, we will do element-wise multiplication of matrices in PyTorch to get the Hadamard product.
We will create two PyTorch tensors and then show how to do the element-wise multiplication of the two of them.
Let’s get started.
First, we create our first PyTorch tensor using the PyTorch rand functionality.
random_tensor_one_ex = (torch.rand(2, 3, 4) * 10).int()
The size is going to be 2x3x4.
We’re going to cast it to an int and we’re going to assign it to the Python variable, random_tensor_one_ex.
Let’s print our first tensor to see what we created.
We see that it’s a PyTorch IntTensor of size 2x3x4, the numbers are between 0 and 10, and they are random.
Next, we create our second PyTorch tensor the same way.
random_tensor_two_ex = (torch.rand(2, 3, 4) * 10).int()
This time, we’re assigning it to the Python variable, random_tensor_two_ex.
Again, it’s torch.rand, 2x3x4, times 10, and casting it to an int.
Let’s print our second tensor to see what we got.
We see again that we have a PyTorch IntTensor of size 2x3x4, and it’s a random tensor that has numbers between 0 and 10.
To calculate the element-wise multiplication of the two tensors to get the Hadamard product, we’re going to use the asterisk symbol.
So we multiply random_tensor_one_ex times random_tensor_two_ex using the asterisk symbol and we’re going to set it equal to the hadamard_product_ex Python variable.
hadamard_product_ex = random_tensor_one_ex * random_tensor_two_ex
Let’s print out the result
And we see that it is between 0 and the biggest number looks to be 63.
So if it’s element-wise, our biggest number should have been 9 or 10, so it could have been up to 100.
Let’s check the last row.
So here we see 5.
Here, we see 8.
So we should expect a 40.
That’s what we get.
We see a 7.
We see a 3.
So we get a 21, which is what we would expect.
We see a 6 and 8.
Lastly, we see a 9 x 1.
We see a 9.
So using the asterisk symbol, we were able to calculate the Hadamard product of the two tensors.
So it did the element-wise multiplication.
The other thing to note is that random_tensor_one_ex was size 2x3x4, random_tensor_two_ex was 2x3x4, and our element-wise multiplication was also 2x3x4, which is what we would expect.
That is how you can calculate the element-wise multiplication of tensors and matrices in PyTorch to get the Hadamard product.