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PyTorch `torch.divide` Function

The torch.divide() function is used to perform element-wise division of two tensors.

Syntax

torch.divide(input, other, *, rounding_mode=None, out=None)

Parameters

input: The dividend tensor.
other: The divisor tensor or scalar value.
rounding_mode: Optional parameter specifying how to handle integer division results. Options are 'trunc' or 'floor'. Default is None.
out: Optional output tensor where the result will be stored.

Returns

A new tensor containing the result of dividing each element in input by the corresponding element in other.

Example

import torch

a = torch.tensor([4.0, 6.0, 8.0])
b = torch.tensor([2.0, 3.0, 4.0])

result = torch.divide(a, b)
print(result)  # Output: tensor([2., 2., 2.])

Notes

If both operands are integers, the result type will also be an integer unless explicitly casted otherwise.
This function supports broadcasting between tensors of different shapes.

```

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