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Functions
- Activations
  - gelu
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- Constants
- Control flow ops
  - cmp_is
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  - for_loop
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- Creation
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- Data type
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  - abs
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  - General
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  - Gradients
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    - dct
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    - dropout1d
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    - embedding
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    - generate_einsum_equation
    - get_interpolate_kernel
    - idct
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    - ifftn
    - interp
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    - max_pool1d
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    - sliding_window
    - stft
  - Linear algebra
  - Losses
  - Manipulation
    - as_strided
    - associative_scan
    - atleast_1d
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    - broadcast_shapes
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    - dsplit
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    - fliplr
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    - fold
    - heaviside
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    - hstack
    - i0
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    - moveaxis
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    - partial_unfold
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    - put_along_axis
    - rot90
    - soft_thresholding
    - take
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    - vsplit
    - vstack
  - Meta
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  - Norms
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  - Searching
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  - Set
  - Sorting
    - invert_permutation
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  - Sparse array
  - Statistical
    - bincount
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    - cov
    - cummax
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    - nanmean
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    - quantile
  - Utility
    - optional_get_element
- General
- Gradients
- Layers
- Linear algebra
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  - lu_factor
  - matmul
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  - matrix_rank
  - matrix_transpose
  - outer
  - pinv
  - qr
  - slogdet
  - solve
  - svd
  - svdvals
  - tensordot
  - tensorsolve
  - trace
  - vander
  - vecdot
  - vector_norm
  - vector_to_skew_symmetric_matrix
- Losses
- Manipulation
  - clip
  - concat
  - constant_pad
  - expand_dims
  - flip
  - permute_dims
  - repeat
  - reshape
  - roll
  - split
  - squeeze
  - stack
  - swapaxes
  - tile
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  - zero_pad
- Meta
- Nest
- Norms
  - layer_norm
- Random
  - multinomial
  - randint
  - random_normal
  - random_uniform
  - seed
  - shuffle
- Searching
  - argmax
  - argmin
  - argwhere
  - nonzero
  - where
- Set
- Sorting
  - argsort
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  - searchsorted
  - sort
- Statistical
  - cumprod
  - cumsum
  - einsum
  - max
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  - sum
  - var
- Utility
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Data classes
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  - Wrapping
- Container
  - Activations
  - Base
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  - Statistical
  - Utility
  - Wrapping
- Factorized tensor
- Nested array
  - Base
  - Elementwise

Framework classes
- Activations
- Converters
- Helpers
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- Layers
- Losses
- Module
- Norms
- Optimizers
- Sequential
Utils
Testing

Data classes
Array
Image

Image#

class ivy.data_classes.array.image._ArrayWithImage[source]#

Bases: ABC

_abc_impl = <_abc._abc_data object>#

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Gradients

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Layers

On this page

_ArrayWithImage
- _ArrayWithImage._abc_impl

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