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Home

The Basics

Get Started
Setting up your API key
Quickstart

Demos

Learn the Basics
Examples and Demos

Background

Motivation
- ML Explosion
- Why Transpile?
Related Work

Contributors

Design
- Building Blocks
- Ivy as a Transpiler
Contributing
Deep Dive
Glossary
FAQ

API Reference

One liners
- ivy.trace_graph()
- ivy.transpile()

Functions
- Activations
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  - log_softmax
  - mish
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- Constants
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- Creation
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- Data type
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  - atan2
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  - bitwise_and
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  - logaddexp2
  - logical_and
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  - logical_or
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  - maximum
  - minimum
  - multiply
  - nan_to_num
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  - pow
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  - remainder
  - round
  - sign
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- Experimental
  - Activations
    - celu
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    - scaled_tanh
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    - threshold
    - thresholded_relu
  - Constants
  - Creation
  - Data type
  - Device
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    - allclose
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    - erfinv
    - fix
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    - gradient
    - hypot
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    - lerp
    - lgamma
    - modf
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    - nextafter
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    - xlogy
    - zeta
  - General
    - reduce
  - Gradients
  - Layers
    - adaptive_avg_pool1d
    - adaptive_avg_pool2d
    - adaptive_max_pool2d
    - adaptive_max_pool3d
    - area_interpolate
    - avg_pool1d
    - avg_pool2d
    - avg_pool3d
    - dct
    - dft
    - dropout1d
    - dropout2d
    - dropout3d
    - embedding
    - fft
    - fft2
    - generate_einsum_equation
    - get_interpolate_kernel
    - idct
    - ifft
    - ifftn
    - interp
    - interpolate
    - max_pool1d
    - max_pool2d
    - max_pool3d
    - max_unpool1d
    - nearest_interpolate
    - pool
    - reduce_window
    - rfft
    - rfftn
    - rnn
    - sliding_window
    - stft
  - Linear algebra
  - Losses
  - Manipulation
    - as_strided
    - associative_scan
    - atleast_1d
    - atleast_2d
    - atleast_3d
    - broadcast_shapes
    - check_scalar
    - choose
    - column_stack
    - concat_from_sequence
    - dsplit
    - dstack
    - expand
    - fill_diagonal
    - flatten
    - fliplr
    - flipud
    - fold
    - heaviside
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    - hstack
    - i0
    - matricize
    - moveaxis
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    - partial_fold
    - partial_tensor_to_vec
    - partial_unfold
    - partial_vec_to_tensor
    - put_along_axis
    - rot90
    - soft_thresholding
    - take
    - take_along_axis
    - top_k
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    - unfold
    - unique_consecutive
    - vsplit
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  - Meta
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  - Sorting
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  - Sparse array
  - Statistical
    - bincount
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    - histogram
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    - nanprod
    - quantile
  - Utility
    - optional_get_element
- General
- Gradients
- Layers
- Linear algebra
  - cholesky
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  - matrix_norm
  - matrix_power
  - 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
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  - randint
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- Searching
  - argmax
  - argmin
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  - nonzero
  - where
- Set
- Sorting
  - argsort
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  - sort
- Statistical
  - cumprod
  - cumsum
  - einsum
  - max
  - mean
  - min
  - prod
  - std
  - sum
  - var
- Utility
  - all
  - any
  - load
  - save

Data classes
- Array
  - Activations
  - Conversions
  - Creation
  - Data type
  - Device
  - Elementwise
  - Experimental
  - General
  - Gradients
  - Image
  - Layers
  - Linear algebra
  - Losses
  - Manipulation
  - Norms
  - Random
  - Searching
  - Set
  - Sorting
  - Statistical
  - Utility
  - Wrapping
- Container
  - Activations
  - Base
  - Conversions
  - Creation
  - Data type
  - Device
  - Elementwise
  - Experimental
  - General
  - Gradients
  - Image
  - Layers
  - Linear algebra
  - Losses
  - Manipulation
  - Norms
  - Random
  - Searching
  - Set
  - Sorting
  - Statistical
  - Utility
  - Wrapping
- Factorized tensor
- Nested array
  - Base
  - Elementwise

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

Functions
Control flow ops
cmp_is

cmp_is#

ivy.cmp_is(left, right)[source]#

On this page

cmp_is()

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