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Quickstart
Learn the Basics
Examples and Demos
Motivation
Related Work
Design
Contributing
Deep Dive
Glossary
FAQ
One liners
Functions
Data classes
Framework classes
Utils
Testing

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
Utility
load

load#

ivy.load(filepath, format=None, type='module')[source]#

On this page

load()

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