Revision 869027cc7911b638b8292c67182fb6f2b8f0f3c9 authored by dependabot[bot] on 21 June 2022, 22:33:57 UTC, committed by GitHub on 21 June 2022, 22:33:57 UTC
Bumps [numpy](https://github.com/numpy/numpy) from 1.16.4 to 1.22.0. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst) - [Commits](https://github.com/numpy/numpy/compare/v1.16.4...v1.22.0) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
1 parent 78da4ea
loss.py
"""
Losses
"""
# pylint: disable=C0301,C0103,R0902,R0915,W0221,W0622
##
# LIBRARIES
import torch
##
def l1_loss(input, target):
""" L1 Loss without reduce flag.
Args:
input (FloatTensor): Input tensor
target (FloatTensor): Output tensor
Returns:
[FloatTensor]: L1 distance between input and output
"""
return torch.mean(torch.abs(input - target))
##
def l2_loss(input, target, size_average=True):
""" L2 Loss without reduce flag.
Args:
input (FloatTensor): Input tensor
target (FloatTensor): Output tensor
Returns:
[FloatTensor]: L2 distance between input and output
"""
if size_average:
return torch.mean(torch.pow((input-target), 2))
else:
return torch.pow((input-target), 2)
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