Add Neural Network functions for TensorFlow frontend

[sreegandh804]

Add Neural Network functions for TensorFlow frontend:

• [ ] atrous_conv2d
• [ ] atrous_conv2d_transpose
• [ ] avg_pool1d
• [ ] avg_pool2d
• [ ] batch_normalization
• [ ] collapse_repeated
• [ ] compute_average_loss
• [ ] conv1d
• [ ] conv1d_transpose
• [ ] conv2d_transpose
• [ ] conv3d_transpose
• [ ] conv_transpose
• [ ] convolution
• [ ] crelu
• [ ] ctc_unique_labels
• [ ] depthwise_conv2d
• [ ] depthwise_conv2d_backprop_filter
• [ ] depthwise_conv2d_backprop_input
• [ ] dropout
• [ ] embedding_lookup
• [ ] embedding_lookup_sparse
• [ ] erosion2d
• [ ] gelu
• [ ] l2_normalize
• [ ] local_response_normalization
• [ ] log_poisson_loss
• [ ] max_pool1d
• [ ] max_pool2d
• [ ] moments
• [ ] nce_loss
• [ ] normalize_moments
• [ ] pool
• [ ] safe_embedding_lookup_sparse
• [ ] sampled_softmax_loss
• [ ] scale_regularization_loss
• [ ] separable_conv2d
• [ ] sigmoid_cross_entropy_with_logits
• [ ] silu
• [ ] sufficient_statistics
• [ ] swish
• [ ] weighted_cross_entropy_with_logits
• [ ] weighted_moments
• [ ] with_space_to_batch
• [ ] zero_fraction

[VikramxD]

• [ ] #2424

[yis11178]

• [ ] #Issue_5309

[vishalbalaji-v]

Moments - #7349

[kaushal07wick]

hey @ivy-seed the moments function of the tensorflow.nn should be in ivy/ivy/functional/frontends/torch/nn/functional/norms.py right!

[bilalboukerma]

Hello, Unify ai. the status of the task pool. Is it still available? If so, I want to claim the task pool with my issue pool #15398. If not, please let me know so I can select another task.

[Klb21]

• [x] #16402

[Klb21]

• [x] #16444

[rahulkusuma1999]

• [x] #22276

[ANIRUDH-333]

Can I try compute_average_loss? I am new to open source contributions, so I don't know much about how to take up a task. Can I work on that function?

[kahina45678]

#22783

[usayrimrehman]

#23172

[romailafzal]

• [ ] #26246

[romailafzal]

• [ ] depthwise_conv2d_backprop_input #26246

is this correct way to open an issue?

[TalhaKhalil]

#23741