Extend Ivy Functional API

[johanjino]

Extend Ivy functional API ivy//ivy/functional/experimental. Each function will need implementation in each backend API and also the Ivy API. The tests will also need to be implemented. See the Deep Dive for more general information on how the functions should be implemented. Particular attention should be placed on the Superset Behaviour section when considering how best to design the function, and what features and arguments it should have. More information about this specific task is provided in the Open Tasks section of the contributor guide. All the implementations have to be placed in experimental directories for both, functional API, backend APIs, Array, and Container instances.

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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. _

Linear algebra functions: ivy/functional/ivy/experimental/linear_algebra.py

• diagflat

  6180

  6269

  6228

  matrix_exp

  8990

  10208

  8806

  25883

  14857

  9325

  11047

  26699

  lu_solve

  21459

  26703

Sorting functions: ivy/functional/ivy/experimental/sorting.py

• 6138

  22202

Set functions: ivy/functional/ivy/experimental/set.py

• 26286

  26287

  26289

Manipulation functions: ivy/functional/ivy/experimental/manipulation.py

• 5542

  19007

  5787

  5614

  heaviside

  5977

  22997

  5978

  6079

  broadcast_shapes

  6787

  6334

  6340

  7222

  6222

  6734

  6728

  6761

  6883

  6886

  26722

  6908

  https://github.com/unifyai/ivy/issues/13262 as_strided

  26938

  26278

  26939

  26669

  26941

Random functions: ivy/functional/ivy/experimental/random.py

• 6156

  21210

  hypergeometric

  26648

  26781

  22263

Statistical functions: ivy/functional/ivy/experimental/statistical.py

• 11814

  5715

  6808

  6702

  nanmedian

  21196

  17345

  26130

  22729

  6934

  9298

  26817

  10601

  23107

  19260

  14540

  15258

  15712

  19152

  19299

Layers functions: ivy/functional/ivy/experimental/layers.py

• vorbis_window

  5548

  6888

  flatten

  5541

  15557

  15761

  9132

  5620

  kaiser_window

  26724

  22576

  5325

  dropout1d dropout2d dropout3d collapse_repeated

  6120

  inverse_mdct inverse_stft inverse_stft_window_fn

  19695

  17393

  mdct quantize adaptive_avg_pool1d interpolate

  9381

  batch_norm hfft

  27086

  21762

  27088

  18035

  19200

  23509

  overlap_and_add adaptive_avg_pool3d

  5325

  feature_alpha_dropout deform_conv2d channel_shuffle

Elementwise functions: ivy/functional/ivy/experimental/elementwise.py

• 4236

  eigvals

  4789

  4237

  4815

  6280

  5793

  5880

  fmax

  5716

  10766

  12985

  6864

  6345

  9208

  6462

  6123

  6810

  7809

  10844

  diff

  6196

  9009

  6482

  6284

  6534

  6468

  6910

  6684

  9624

  6350

  6097

  6335

  9943

  7150

  23624

  9171

  Idexp

  21130

  23685

  17464

  26546

  26473

Sparse Array methods: ivy/functional/ivy/experimental/sparse_array.py

• sparse_array

Activation functions: ivy/functional/ivy/experimental/activations.py

• 4529

  8962

  17456

  26818

Creation functions: ivy/functional/ivy/experimental/creation.py

• 6007

  13495

  fingerprint

  21632

  26284

  26290

  polyder polyint

  27371

  26557

  polymul

  27370

  23173

  polydiv

  19584

  17437

  unsorted_segment_prod

  19711

  23779

  23780

  27198

Norms functions: ivy/functional/ivy/experimental/norms.py

• 15824

  9549

  18551

  batch_norm

  26362

  instance_norm

  27229

  lp_norm

Losses functions: ivy/functional/ivy/experimental/losses.py

• 20689

  16654

  log_poisson_loss

  26642

  23910

  26353

  27224

  21066

  21069

  21072

  21074

  26974

  26192

  21165

  26102

  21727

  22141

  26608

  27204

  27205

  triplet_margin_with_distance_loss multilabel_soft_margin_loss

Data type functions: ivy/functional/ivy/experimental/data_type.py

• issubdtype

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

ivy/array/experimental/linear\_algebra.py ivy/container/experimental/linear\_algebra.py ivy/functional/backends/jax/experimental/linear\_algebra.py ivy/functional/backends/numpy/experimental/linear\_algebra.py ivy/functional/backends/tensorflow/experimental/linear\_algebra.py ivy/functional/backends/torch/experimental/linear\_algebra.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_core/test\_linalg.py ivy/functional/ivy/experimental/linear\_algebra.py ivy/array/extensions/manipulation.py ivy/container/extensions/manipulation.py ivy/functional/backends/jax/extensions/manipulation.py ivy/functional/backends/numpy/extensions/manipulation.py ivy/functional/backends/tensorflow/extensions/manipulation.py ivy/functional/backends/torch/extensions/manipulation.py ivy/functional/extensions/manipulation.py ivy\_tests/test\_ivy/test\_functional/test\_extensions/test\_core/test\_manipulation.py ivy/functional/backends/jax/experimental/manipulation.py ivy/functional/backends/numpy/experimental/manipulation.py ivy/functional/backends/tensorflow/experimental/manipulation.py ivy/functional/backends/torch/experimental/manipulation.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_core/test\_manipulation.py ivy/array/extensions.py ivy/container/extensions.py ivy/functional/backends/jax/extensions.py ivy/functional/backends/numpy/extensions.py ivy/functional/backends/tensorflow/extensions.py ivy/functional/backends/torch/extensions.py ivy/functional/ivy/extensions.py ivy\_tests/test\_ivy/test\_functional/test\_extensions.py ivy/array/experimental/manipulation.py ivy/container/experimental/manipulation.py ivy/functional/experimental/manipulation.py ivy/functional/backends/jax/experimental/creation.py ivy/functional/backends/numpy/experimental/creation.py ivy/functional/backends/tensorflow/experimental/creation.py ivy/functional/backends/torch/experimental/creation.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_core/test\_creation.py ivy/data\_classes/array/experimental/statistical.py ivy/data\_classes/container/experimental/statistical.py ivy/functional/backends/jax/experimental/statistical.py ivy/functional/backends/numpy/experimental/statistical.py ivy/functional/backends/tensorflow/experimental/statistical.py ivy/functional/backends/torch/experimental/statistical.py ivy/functional/ivy/experimental/statistical.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_core/test\_statistical.py ivy/array/experimental/statistical.py ivy/container/experimental/statistical.py ivy/functional/experimental/statistical.py ivy/data\_classes/array/statistical.py ivy/data\_classes/container/statistical.py ivy/functional/backends/jax/statistical.py ivy/functional/backends/numpy/statistical.py ivy/functional/backends/paddle/statistical.py ivy/functional/backends/tensorflow/statistical.py ivy/functional/backends/torch/statistical.py ivy/functional/ivy/statistical.py ivy\_tests/test\_ivy/test\_functional/test\_core/test\_statistical.py ivy/data\_classes/array/experimental/elementwise.py ivy/data\_classes/container/experimental/elementwise.py ivy/functional/backends/jax/experimental/elementwise.py ivy/functional/backends/mxnet/experimental/elementwise.py ivy/functional/backends/numpy/experimental/elementwise.py ivy/functional/backends/paddle/experimental/elementwise.py ivy/functional/backends/tensorflow/experimental/elementwise.py ivy/functional/backends/torch/experimental/elementwise.py ivy/functional/ivy/experimental/elementwise.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_core/test\_elementwise.py ivy/array/experimental/layers.py ivy/container/experimental/layers.py ivy/functional/backends/jax/experimental/layers.py ivy/functional/backends/numpy/experimental/layers.py ivy/functional/backends/tensorflow/experimental/layers.py ivy/functional/backends/torch/experimental/layers.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_nn/test\_layers.py ivy/data\_classes/array/experimental/layers.py ivy/functional/ivy/experimental/layers.py ivy/data\_classes/container/experimental/layers.py ivy/container/extensions/layers.py ivy/functional/extensions/layers.py ivy\_tests/test\_ivy/test\_functional/test\_extensions/test\_nn/test\_layers.py ivy/functional/backends/paddle/experimental/layers.py ivy/array/elementwise.py ivy/container/elementwise.py ivy/functional/backends/jax/elementwise.py ivy/functional/backends/numpy/elementwise.py ivy/functional/backends/tensorflow/elementwise.py ivy/functional/backends/torch/elementwise.py ivy/functional/ivy/elementwise.py ivy\_tests/test\_ivy/test\_functional/test\_core/test\_elementwise.py ivy\_tests/test\_ivy/helpers/hypothesis\_helpers/array\_helpers.py ivy/array/extensions/elementwise.py ivy/container/extensions/elementwise.py ivy/functional/backends/jax/extensions/elementwise.py ivy/functional/backends/numpy/extensions/elementwise.py ivy/functional/backends/tensorflow/extensions/elementwise.py ivy/functional/backends/torch/extensions/elementwise.py ivy/functional/extensions/elementwise.py ivy\_tests/test\_ivy/test\_functional/test\_extensions/test\_core/test\_elementwise.py ivy/array/experimental/elementwise.py ivy/container/experimental/elementwise.py ivy/functional/experimental/elementwise.py ivy/functional/backends/jax/experimental/activations.py ivy/functional/backends/numpy/experimental/activations.py ivy/functional/backends/tensorflow/experimental/activations.py ivy/functional/backends/torch/experimental/activations.py ivy/functional/ivy/experimental/activations.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_nn/test\_activations.py ivy/data\_classes/container/experimental/creation.py ivy/functional/backends/paddle/experimental/creation.py ivy/functional/ivy/experimental/creation.py ivy/data\_classes/array/experimental/creation.py ivy/data\_classes/array/experimental/norms.py ivy/data\_classes/container/experimental/norms.py ivy/functional/backends/jax/experimental/norms.py ivy/functional/backends/numpy/experimental/norms.py ivy/functional/backends/tensorflow/experimental/norms.py ivy/functional/backends/torch/experimental/norms.py ivy/functional/ivy/experimental/norms.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_nn/test\_norms.py ivy/data\_classes/array/experimental/losses.py ivy/data\_classes/container/experimental/losses.py ivy/functional/backends/paddle/experimental/losses.py ivy/functional/backends/torch/experimental/losses.py ivy/functional/ivy/experimental/losses.py ivy\_tests/test\_ivy/test\_functional/test\_experimental/test\_nn/test\_losses.py ivy/functional/backends/jax/experimental/losses.py ivy/functional/backends/numpy/experimental/losses.py ivy/functional/backends/tensorflow/experimental/losses.py

[Viditagarwal7479]

max() function is also missing could this be added in active tasks? Then I shall create a PR corresponding to it. As this is also needed for PyTorch frontend open task https://github.com/unifyai/ivy/issues/3612

[fnhirwa]

max() function is also missing could this be added in active tasks? Then I shall create a PR corresponding to it. As this is also needed for PyTorch frontend open task #3612

Hello @Viditagarwal7479 Thanks for the suggestion but we have this function on Ivy API ivy.max()🙂

[Viditagarwal7479]

max() function is also missing could this be added in active tasks? Then I shall create a PR corresponding to it. As this is also needed for PyTorch frontend open task #3612

Hello @Viditagarwal7479 Thanks for the suggestion but we have this function on Ivy API ivy.max()slightly_smiling_face

Hey @hirwa-nshuti Ohhh! I see my bad. Later noticed and fixed the error, which was coming due to some sort of linking issue smile

[YasCoMa]

• [x] #16505
• [x] #16506

[AnnaTz]

• [x] Implementation nanmin #16505
• [x] Implementation nanmax #16506

Hi @YasCoMa, the two functions you are referencing seem to have been reserved already. Please make sure you follow our ToDo issues policy explained here every time you intend to start working on a function.

[akshatvishu]

@khushi-411 Hey, Kushi . I have an idea in mind about implementing erfc for ivy function API but you're tagged in-that hence, pining you in-here .

Also, I see that you've already made a PR https://github.com/unifyai/ivy/pull/16235 but it is showing as closed!

In case you're allowed to collaborate with other people or just want to discuss the implementation in-general ; feel free to ping me !
Writing it in here as I can't find you on discord!

[khushi-411]

Hey, @akshatvishu! My PR is still open, just that I was on leave for a couple of days, so I kept it draft (i.e., work in progress). I'll make sure to finish that soon. Thanks for your kind interest!

If interested, please feel free to pick any other exciting open issues at Ivy! Thanks.

[akshatvishu]

Hey, @akshatvishu! My PR is still open, just that I was on leave for a couple of days, so I kept it draft (i.e., work in progress). I'll make sure to finish that soon. Thanks for your kind interest!

If interested, please feel free to pick any other exciting open issues at Ivy! Thanks.

@khushi-411 Thanks for the reply ! Also, here was my rough draft of it . Feel free to use/make changes if it is useful!

[MarkCodering]

@johanjino

I created an issue on GitHub for the NCE loss function implementation. Could you link the NCE issue with the latest comment on this page?

Here is the link for that issue page

[AnnaTz]

@johanjino

I created an issue on GitHub for the NCE loss function implementation. Could you link the NCE issue with the latest comment on this page?

Here is the link for that issue page

Here you can find instructions on how to link your issues to our ToDos https://unify.ai/docs/ivy/overview/contributing/the_basics.html#todo-list-issues

[YasCoMa]

But i saw and follow the instructions, it was not implemented even in experimental folder. I do not see a reason to disqualify my contribution.

[ogbanugot]

intersection #17640

[ipsitmantri]

I want to do hypergeometric

[AnnaTz]

I want to do hypergeometric

Hi! You can open an issue for this. Please refer to the ToDo List Issues instructions.

[Lekewhite01]

• [ ] #15966

[sushmanthreddy]

• [ ] #21052

[OmerElshrief]

max_unpool2d #21207

[sgeorgevv]

• [ ] Percentile #21386

[sgeorgevv]

• [ ] Percentile percentile #21386

I submitted PR for this issue here https://github.com/unifyai/ivy/pull/21407

[sushmanthreddy]

@AnnaTz @hirwa-nshuti the implementation of log_poisson_loss is implemented wrong and tests are failing for it..can u assign that to me ? I will implement that in the correct way.It was mentioned that it as completed ..but tests are failing for it..can u reopen that issue?

[chirag1902]

• 21196

[xorsuyash]

[ ]#22606 intersection

[Yodeman]

• [ ] #23099

[wassim249]

• [ ] #23443

[daxermanGit]

• [ ] #24161

[HemanthSai7]

I would like to work on:

• [ ] nanmin

[RichieOrito]

• [ ] #26289

[Coleman97]

26703

[shadynagy232]

26858

[imsoumya18]

Hey @johanjino index_add is missing from this list and here is an issue explaining why it needs to be added #26801

Please add it to the list, I will then start working on it in proper file locations