Add Loss functions to PyTorch Frontend

[djl11]

Add Loss functions to PyTorch frontend:

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Please keep in mind that the proper way to link an issue to this list is to comment "- [ ] #issue_number" while the issue's title only includes the name of the function you've chosen.

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• binary_cross_entropy #3037
• binary_cross_entropy_with_logits #6993
• poisson_nll_loss #10484
• cosine_embedding_loss #10295
• cross_entropy #2751
• ctc_loss #24636
• gaussian_nll_loss #12017
• hinge_embedding_loss
• kl_div #9183
• l1_loss #6965
• mse_loss #6443
• margin_ranking_loss #10198
• multilabel_margin_loss #19764
• multilabel_soft_margin_loss
• multi_margin_loss #20121
• nll_loss #7140
• huber_loss #7065
• smooth_l1_loss #5546
• soft_margin_loss #7592
• triplet_margin_loss #10609
• triplet_margin_with_distance_loss #12176

The main file paths where these functions are likely to be added are:

• ivy/functional/frontends/torch/loss\_functions.py
• ivy\_tests/test\_ivy/test\_frontends/test\_torch/test\_loss\_functions.py
• ivy/functional/frontends/torch/nn/functional/loss\_functions.py

[nhewitt99]

Hey, looks like the hinge_embedding_loss was already implemented in this PR #11124 but didn't get updated in the todo tracker.

[CanKeles5]

It seems like the multilabel_soft_margin_loss is already implemented, but the task is still in the ToDo list as undone.

[HemanthSai7]

Are there still any todo loss functions left?

[Rhythm1821]

#26978

[Rhythm1821]

#26981