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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
  - gelu
  - hardswish
  - leaky_relu
  - log_softmax
  - mish
  - relu
  - sigmoid
  - softmax
  - softplus
  - softsign
- Constants
- Control flow ops
  - cmp_is
  - cmp_isnot
  - for_loop
  - if_else
  - try_except
  - while_loop
- Creation
  - arange
  - array
  - asarray
  - complex
  - copy_array
  - empty
  - empty_like
  - eye
  - from_dlpack
  - frombuffer
  - full
  - full_like
  - linspace
  - logspace
  - meshgrid
  - native_array
  - one_hot
  - ones
  - ones_like
  - to_dlpack
  - tril
  - triu
  - triu_indices
  - zeros
  - zeros_like
- Data type
- Device
- Elementwise
  - abs
  - acos
  - acosh
  - add
  - angle
  - asin
  - asinh
  - atan
  - atan2
  - atanh
  - bitwise_and
  - bitwise_invert
  - bitwise_left_shift
  - bitwise_or
  - bitwise_right_shift
  - bitwise_xor
  - ceil
  - cos
  - cosh
  - deg2rad
  - divide
  - equal
  - erf
  - exp
  - exp2
  - expm1
  - floor
  - floor_divide
  - fmin
  - fmod
  - gcd
  - greater
  - greater_equal
  - imag
  - isfinite
  - isinf
  - isnan
  - isreal
  - lcm
  - less
  - less_equal
  - log
  - log10
  - log1p
  - log2
  - logaddexp
  - logaddexp2
  - logical_and
  - logical_not
  - logical_or
  - logical_xor
  - maximum
  - minimum
  - multiply
  - nan_to_num
  - negative
  - not_equal
  - positive
  - pow
  - rad2deg
  - real
  - reciprocal
  - remainder
  - round
  - sign
  - sin
  - sinh
  - sqrt
  - square
  - subtract
  - tan
  - tanh
  - trapz
  - trunc
  - trunc_divide
- Experimental
  - Activations
    - celu
    - elu
    - hardshrink
    - hardsilu
    - hardtanh
    - logit
    - logsigmoid
    - prelu
    - relu6
    - scaled_tanh
    - selu
    - silu
    - softshrink
    - stanh
    - tanhshrink
    - threshold
    - thresholded_relu
  - Constants
  - Creation
  - Data type
  - Device
  - Elementwise
    - allclose
    - amax
    - amin
    - binarizer
    - conj
    - copysign
    - count_nonzero
    - diff
    - digamma
    - erfc
    - erfinv
    - fix
    - float_power
    - fmax
    - frexp
    - gradient
    - hypot
    - isclose
    - ldexp
    - lerp
    - lgamma
    - modf
    - nansum
    - nextafter
    - signbit
    - sinc
    - sparsify_tensor
    - 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
    - hsplit
    - hstack
    - i0
    - matricize
    - moveaxis
    - pad
    - pad_sequence
    - partial_fold
    - partial_tensor_to_vec
    - partial_unfold
    - partial_vec_to_tensor
    - put_along_axis
    - rot90
    - soft_thresholding
    - take
    - take_along_axis
    - top_k
    - trim_zeros
    - unflatten
    - unfold
    - unique_consecutive
    - vsplit
    - vstack
  - Meta
  - Nest
  - Norms
  - Random
    - bernoulli
    - beta
    - dirichlet
    - gamma
    - poisson
  - Searching
    - unravel_index
  - Set
  - Sorting
    - invert_permutation
    - lexsort
  - Sparse array
  - Statistical
    - bincount
    - corrcoef
    - cov
    - cummax
    - cummin
    - histogram
    - igamma
    - median
    - nanmean
    - nanmedian
    - nanmin
    - nanprod
    - quantile
  - Utility
    - optional_get_element
- General
- Gradients
- Layers
- Linear algebra
  - cholesky
  - cross
  - det
  - diag
  - diagonal
  - eig
  - eigh
  - eigvalsh
  - inner
  - inv
  - matmul
  - 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
  - unstack
  - 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
  - msort
  - searchsorted
  - 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
Sparse array
is_ivy_sparse_array

is_ivy_sparse_array#

ivy.is_ivy_sparse_array(x)[source]#

On this page

is_ivy_sparse_array()

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