Add General Functions to TensorFlow frontend

[fspyridakos]

Add General Functions to TensorFlow frontend

Please note that many of the following functions have a respective RawOps function that should be treated as an alias. The fronted policy for duplicate functions is further explained here. Please check if the function you're implementing is in the #1565, if it is then please implement your function in the general_functions.py file, as usual, and add the alias in the RawOps. If the RawOps implementation already exists, please transfer the implementation to the general_functions.py file instead and include any additional parameters, then make the respective RawOps an alias to that instead. Both functons will then need testing, but the tests will practically be identical.

Task List

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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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• approx_top_k
  argsort #6964
  batch_to_space
  bitcast
  boolean_mask #9684
  broadcast_dynamic_shape
  broadcast_static_shape #25426
  case
  cast
  clib_by_global_norm #13367
  clip_by_norm
  clip_by_value
  concat #7358
  cond #14575
  constant
  constant_initializer #21611
  control_dependencies #22613
  convert_to_tensor
  custom_gradient
  device #27159
  device
  dynamic_partition
  dynamic-stitch
  edit-distance
  einsum
  ensure_shape #13902
  executing_eagerly
  expand_dims #7315
  extract_volume_patches
  eye
  fill #6968
  fingerprint
  foldl
  foldr #21965
  function
  gather #7575
  gather_nd
  get_current_name_scope
  get_logger
  get_static_value
  grad_pass_through #26992
  gradients #23672
  hessians
  histogram_fixed_width #27039
  histogram_fixed_width_bins
  identity #7605
  identity_n #14128
  init_scope
  inside_function
  is_tensor #7584
  linspace #9069
  load_library
  load_op_library
  make_ndarray #18991
  make_tensor_proto
  map_fn
  meshgrid #23119
  name_scope
  no_gradient
  no_op #21060
  nondifferentiable_batch_function
  norm #13776
  numpy_function
  one_hot
  ones
  ones_initializer #26539
  ones_like #7103
  pad
  parallel_stack
  print #23706
  py_function
  py_function #27235
  random_index_shuffle
  random_normal_initializer #26961
  random_uniform_initializer #26962
  range #7460
  rank
  realdiv #7146
  recompute_grad
  register_tensor_conversion_function
  repeat #10394
  required_space_to_batch_paddings
  reshape #9822
  reverse #9964
  reverse_sequence #26181
  roll
  scan #14675
  scatter_nd #26259
  scatter_nd #27242
  searchsorted #7493
  sequence_mask #20981
  shape
  shape_n #7966
  size #14008
  slice #12746
  sort #7419
  space_to_batch
  space_to_batch_nd
  split #10876
  squeeze
  stack #7658
  stop_gradient #22444
  strided_slice
  switch_case
  tensor_scatter_nd_add #26264
  tensor_scatter_nd_max
  tensor_scatter_nd_min
  tensor_scatter_nd_sub
  tensor_scatter_nd_update
  tile #7459
  timestamp
  transpose
  truncatediv #16200
  truncatemod #16290
  tuple #26404
  type_spec_from_value
  unique #11774
  unique_with_counts
  unravel_index #16992
  unstack #11543
  variable_creator_scope
  vectorized_map
  where
  while_loop #15641
  zeros #6951
  <zeros_initializer> #20947
  zeros_like #7233

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

ivy/functional/frontends/tensorflow/general\_functions.py
ivy\_tests/test\_ivy/test\_frontends/test\_tensorflow/test\_general\_functions.py
ivy/functional/frontends/tensorflow/raw\_ops.py
ivy\_tests/test\_ivy/test\_frontends/test\_tensorflow/test\_raw\_ops.py

[Guilhermeslucas]

• ones_initializer #23134

[Aryan8912]

please assign to me so I can work on it and give more detail about this bug