View Source Nx.Backend behaviour (Nx v0.6.2)

The behaviour for tensor backends.

Each backend is module that defines a struct and implements the callbacks defined in this module. The callbacks are mostly implementations of the functions in the Nx module with the tensor output shape given as first argument.

Nx backends come in two flavors: opaque backends, of which you should not access its data directly except through the functions in the Nx module, and public ones, of which its data can be directly accessed and traversed. The former typically have the Backend suffix.

Nx ships with the following backends:

  • Nx.BinaryBackend - an opaque backend written in pure Elixir that stores the data in Elixir's binaries. This is the default backend used by the Nx module. The backend itself (and its data) is private and must not be accessed directly.

  • Nx.TemplateBackend - an opaque backend written that works as a template in APIs to declare the type, shape, and names of tensors to be expected in the future.

  • Nx.Defn.Expr - a public backend used by defn to build expression trees that are traversed by custom compilers.

This module also includes functions that are meant to be shared across backends.

Summary

Callbacks

Invoked for execution of optional callbacks with a default implementation.

Types

@type axes() :: Nx.Tensor.axes()
@type axis() :: Nx.Tensor.axis()
@type backend_options() :: term()
@type shape() :: Nx.Tensor.shape()
@type t() :: %{__struct__: atom()}
@type tensor() :: Nx.Tensor.t()

Callbacks

@callback abs(out :: tensor(), tensor()) :: tensor()
@callback acos(out :: tensor(), tensor()) :: tensor()
@callback acosh(out :: tensor(), tensor()) :: tensor()
Link to this callback

add(out, tensor, tensor)

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@callback add(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

all(out, tensor, keyword)

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@callback all(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

all_close(out, tensor, tensor, keyword)

View Source (optional)
@callback all_close(out :: tensor(), tensor(), tensor(), keyword()) :: tensor()
Link to this callback

any(out, tensor, keyword)

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@callback any(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

argmax(out, tensor, keyword)

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@callback argmax(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

argmin(out, tensor, keyword)

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@callback argmin(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

argsort(out, tensor, keyword)

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@callback argsort(out :: tensor(), tensor(), keyword()) :: tensor()
@callback as_type(out :: tensor(), tensor()) :: tensor()
@callback asin(out :: tensor(), tensor()) :: tensor()
@callback asinh(out :: tensor(), tensor()) :: tensor()
Link to this callback

atan2(out, tensor, tensor)

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@callback atan2(out :: tensor(), tensor(), tensor()) :: tensor()
@callback atan(out :: tensor(), tensor()) :: tensor()
@callback atanh(out :: tensor(), tensor()) :: tensor()
Link to this callback

backend_copy(tensor, module, backend_options)

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@callback backend_copy(tensor(), module(), backend_options()) :: tensor()
Link to this callback

backend_deallocate(tensor)

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@callback backend_deallocate(tensor()) :: :ok | :already_deallocated
Link to this callback

backend_transfer(tensor, module, backend_options)

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@callback backend_transfer(tensor(), module(), backend_options()) :: tensor()
@callback bitcast(out :: tensor(), tensor()) :: tensor()
Link to this callback

bitwise_and(out, tensor, tensor)

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@callback bitwise_and(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

bitwise_not(out, tensor)

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@callback bitwise_not(out :: tensor(), tensor()) :: tensor()
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bitwise_or(out, tensor, tensor)

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@callback bitwise_or(out :: tensor(), tensor(), tensor()) :: tensor()
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bitwise_xor(out, tensor, tensor)

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@callback bitwise_xor(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

broadcast(out, tensor, shape, axes)

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@callback broadcast(out :: tensor(), tensor(), shape(), axes()) :: tensor()
@callback cbrt(out :: tensor(), tensor()) :: tensor()
@callback ceil(out :: tensor(), tensor()) :: tensor()
@callback cholesky(out :: tensor(), tensor()) :: tensor()
Link to this callback

clip(out, tensor, min, max)

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@callback clip(out :: tensor(), tensor(), min :: tensor(), max :: tensor()) :: tensor()
Link to this callback

concatenate(out, tensor, axis)

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@callback concatenate(out :: tensor(), tensor(), axis()) :: tensor()
@callback conjugate(out :: tensor(), tensor()) :: tensor()
Link to this callback

constant(out, arg2, backend_options)

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@callback constant(out :: tensor(), number() | Complex.t(), backend_options()) :: tensor()
Link to this callback

conv(out, tensor, kernel, keyword)

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@callback conv(out :: tensor(), tensor(), kernel :: tensor(), keyword()) :: tensor()
@callback cos(out :: tensor(), tensor()) :: tensor()
@callback cosh(out :: tensor(), tensor()) :: tensor()
Link to this callback

count_leading_zeros(out, tensor)

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@callback count_leading_zeros(out :: tensor(), tensor()) :: tensor()
Link to this callback

cumulative_max(out, t, keyword)

View Source (optional)
@callback cumulative_max(out :: tensor(), t :: tensor(), keyword()) :: tensor()
Link to this callback

cumulative_min(out, t, keyword)

View Source (optional)
@callback cumulative_min(out :: tensor(), t :: tensor(), keyword()) :: tensor()
Link to this callback

cumulative_product(out, t, keyword)

View Source (optional)
@callback cumulative_product(out :: tensor(), t :: tensor(), keyword()) :: tensor()
Link to this callback

cumulative_sum(out, t, keyword)

View Source (optional)
@callback cumulative_sum(out :: tensor(), t :: tensor(), keyword()) :: tensor()
Link to this callback

determinant(out, t)

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@callback determinant(out :: tensor(), t :: tensor()) :: tensor()
Link to this callback

divide(out, tensor, tensor)

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@callback divide(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

dot(out, tensor, axes, axes, tensor, axes, axes)

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@callback dot(out :: tensor(), tensor(), axes(), axes(), tensor(), axes(), axes()) ::
  tensor()
Link to this callback

eigh({}, tensor, keyword)

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@callback eigh({eigenvals :: tensor(), eigenvecs :: tensor()}, tensor(), keyword()) ::
  tensor()
Link to this callback

equal(out, tensor, tensor)

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@callback equal(out :: tensor(), tensor(), tensor()) :: tensor()
@callback erf(out :: tensor(), tensor()) :: tensor()
@callback erf_inv(out :: tensor(), tensor()) :: tensor()
@callback erfc(out :: tensor(), tensor()) :: tensor()
@callback exp(out :: tensor(), tensor()) :: tensor()
@callback expm1(out :: tensor(), tensor()) :: tensor()
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eye(tensor, backend_options)

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@callback eye(tensor(), backend_options()) :: tensor()
Link to this callback

fft(out, tensor, keyword)

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@callback fft(out :: tensor(), tensor(), keyword()) :: tensor()
@callback floor(out :: tensor(), tensor()) :: tensor()
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from_binary(out, binary, backend_options)

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@callback from_binary(out :: tensor(), binary(), backend_options()) :: tensor()
Link to this callback

gather(out, input, indices)

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@callback gather(out :: tensor(), input :: tensor(), indices :: tensor()) :: tensor()
Link to this callback

greater(out, tensor, tensor)

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@callback greater(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

greater_equal(out, tensor, tensor)

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@callback greater_equal(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

ifft(out, tensor, keyword)

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@callback ifft(out :: tensor(), tensor(), keyword()) :: tensor()
@callback imag(out :: tensor(), tensor()) :: tensor()
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indexed_add(out, target, indices, updates)

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@callback indexed_add(
  out :: tensor(),
  target :: tensor(),
  indices :: tensor(),
  updates :: tensor()
) ::
  tensor()
Link to this callback

indexed_put(out, target, indices, updates)

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@callback indexed_put(
  out :: tensor(),
  target :: tensor(),
  indices :: tensor(),
  updates :: tensor()
) ::
  tensor()
@callback init(keyword()) :: backend_options()
@callback inspect(tensor(), Inspect.Opts.t()) :: tensor()
Link to this callback

iota(tensor, arg2, backend_options)

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@callback iota(tensor(), axis() | nil, backend_options()) :: tensor()
Link to this callback

is_infinity(out, tensor)

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@callback is_infinity(out :: tensor(), tensor()) :: tensor()
@callback is_nan(out :: tensor(), tensor()) :: tensor()
Link to this callback

left_shift(out, tensor, tensor)

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@callback left_shift(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

less(out, tensor, tensor)

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@callback less(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

less_equal(out, tensor, tensor)

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@callback less_equal(out :: tensor(), tensor(), tensor()) :: tensor()
@callback log1p(out :: tensor(), tensor()) :: tensor()
@callback log(out :: tensor(), tensor()) :: tensor()
Link to this callback

logical_and(out, tensor, tensor)

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@callback logical_and(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

logical_not(out, t)

View Source (optional)
@callback logical_not(out :: tensor(), t :: tensor()) :: tensor()
Link to this callback

logical_or(out, tensor, tensor)

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@callback logical_or(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

logical_xor(out, tensor, tensor)

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@callback logical_xor(out :: tensor(), tensor(), tensor()) :: tensor()
@callback lu({p :: tensor(), l :: tensor(), u :: tensor()}, tensor(), keyword()) ::
  tensor()
Link to this callback

map(out, tensor, keyword, function)

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@callback map(out :: tensor(), tensor(), keyword(), (... -> any())) :: tensor()
Link to this callback

max(out, tensor, tensor)

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@callback max(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

min(out, tensor, tensor)

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@callback min(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

multiply(out, tensor, tensor)

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@callback multiply(out :: tensor(), tensor(), tensor()) :: tensor()
@callback negate(out :: tensor(), tensor()) :: tensor()
Link to this callback

not_equal(out, tensor, tensor)

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@callback not_equal(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

optional(atom, list, function)

View Source (optional)
@callback optional(atom(), [term()], (... -> any())) :: tensor()

Invoked for execution of optional callbacks with a default implementation.

First we will attempt to call the optional callback itself (one of the many callbacks defined below), then we attempt to call this callback (which is also optional), then we fallback to the default iomplementation.

Link to this callback

pad(out, tensor, pad_value, padding_config)

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@callback pad(out :: tensor(), tensor(), pad_value :: tensor(), padding_config :: list()) ::
  tensor()
Link to this callback

phase(out, t)

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@callback phase(out :: tensor(), t :: tensor()) :: tensor()
Link to this callback

population_count(out, tensor)

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@callback population_count(out :: tensor(), tensor()) :: tensor()
Link to this callback

pow(out, tensor, tensor)

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@callback pow(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

product(out, tensor, keyword)

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@callback product(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

put_slice(out, tensor, tensor, list)

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@callback put_slice(out :: tensor(), tensor(), tensor(), list()) :: tensor()
@callback qr({q :: tensor(), r :: tensor()}, tensor(), keyword()) :: tensor()
Link to this callback

quotient(out, tensor, tensor)

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@callback quotient(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

random_normal(tensor, mu, sigma, backend_options)

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@callback random_normal(tensor(), mu :: tensor(), sigma :: tensor(), backend_options()) ::
  tensor()
Link to this callback

random_uniform(tensor, tensor, tensor, backend_options)

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@callback random_uniform(tensor(), tensor(), tensor(), backend_options()) :: tensor()
@callback real(out :: tensor(), tensor()) :: tensor()
Link to this callback

reduce(out, tensor, acc, keyword, function)

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@callback reduce(out :: tensor(), tensor(), acc :: tensor(), keyword(), (... -> any())) ::
  tensor()
Link to this callback

reduce_max(out, tensor, keyword)

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@callback reduce_max(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

reduce_min(out, tensor, keyword)

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@callback reduce_min(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

remainder(out, tensor, tensor)

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@callback remainder(out :: tensor(), tensor(), tensor()) :: tensor()
@callback reshape(out :: tensor(), tensor()) :: tensor()
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reverse(out, tensor, axes)

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@callback reverse(out :: tensor(), tensor(), axes()) :: tensor()
Link to this callback

right_shift(out, tensor, tensor)

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@callback right_shift(out :: tensor(), tensor(), tensor()) :: tensor()
@callback round(out :: tensor(), tensor()) :: tensor()
@callback rsqrt(out :: tensor(), tensor()) :: tensor()
Link to this callback

select(out, tensor, tensor, tensor)

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@callback select(out :: tensor(), tensor(), tensor(), tensor()) :: tensor()
@callback sigmoid(out :: tensor(), tensor()) :: tensor()
@callback sign(out :: tensor(), tensor()) :: tensor()
@callback sin(out :: tensor(), tensor()) :: tensor()
@callback sinh(out :: tensor(), tensor()) :: tensor()
Link to this callback

slice(out, tensor, list, list, list)

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@callback slice(out :: tensor(), tensor(), list(), list(), list()) :: tensor()
Link to this callback

solve(out, a, b)

View Source (optional)
@callback solve(out :: tensor(), a :: tensor(), b :: tensor()) :: tensor()
Link to this callback

sort(out, tensor, keyword)

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@callback sort(out :: tensor(), tensor(), keyword()) :: tensor()
@callback sqrt(out :: tensor(), tensor()) :: tensor()
Link to this callback

squeeze(out, tensor, axes)

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@callback squeeze(out :: tensor(), tensor(), axes()) :: tensor()
Link to this callback

subtract(out, tensor, tensor)

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@callback subtract(out :: tensor(), tensor(), tensor()) :: tensor()
Link to this callback

sum(out, tensor, keyword)

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@callback sum(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

svd({}, tensor, keyword)

View Source (optional)
@callback svd({u :: tensor(), s :: tensor(), v :: tensor()}, tensor(), keyword()) ::
  tensor()
Link to this callback

take(out, input, indices, axis)

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@callback take(out :: tensor(), input :: tensor(), indices :: tensor(), axis()) ::
  tensor()
Link to this callback

take_along_axis(out, input, indices, axis)

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@callback take_along_axis(out :: tensor(), input :: tensor(), indices :: tensor(), axis()) ::
  tensor()
@callback tan(out :: tensor(), tensor()) :: tensor()
@callback tanh(out :: tensor(), tensor()) :: tensor()
Link to this callback

to_batched(out, tensor, keyword)

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@callback to_batched(out :: tensor(), tensor(), keyword()) :: [tensor()]
Link to this callback

to_binary(tensor, limit)

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@callback to_binary(tensor(), limit :: non_neg_integer()) :: binary()
Link to this callback

top_k(out, tensor, keyword)

View Source (optional)
@callback top_k(out :: tensor(), tensor(), keyword()) :: tensor()
Link to this callback

transpose(out, tensor, axes)

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@callback transpose(out :: tensor(), tensor(), axes()) :: tensor()
Link to this callback

triangular_solve(out, a, b, keyword)

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@callback triangular_solve(out :: tensor(), a :: tensor(), b :: tensor(), keyword()) ::
  tensor()
Link to this callback

window_max(out, tensor, shape, keyword)

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@callback window_max(out :: tensor(), tensor(), shape(), keyword()) :: tensor()
Link to this callback

window_min(out, tensor, shape, keyword)

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@callback window_min(out :: tensor(), tensor(), shape(), keyword()) :: tensor()
Link to this callback

window_product(out, tensor, shape, keyword)

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@callback window_product(out :: tensor(), tensor(), shape(), keyword()) :: tensor()
Link to this callback

window_reduce(out, tensor, acc, shape, keyword, function)

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@callback window_reduce(
  out :: tensor(),
  tensor(),
  acc :: tensor(),
  shape(),
  keyword(),
  (... -> any())
) ::
  tensor()
Link to this callback

window_scatter_max(out, tensor, tensor, tensor, shape, keyword)

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@callback window_scatter_max(
  out :: tensor(),
  tensor(),
  tensor(),
  tensor(),
  shape(),
  keyword()
) :: tensor()
Link to this callback

window_scatter_min(out, tensor, tensor, tensor, shape, keyword)

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@callback window_scatter_min(
  out :: tensor(),
  tensor(),
  tensor(),
  tensor(),
  shape(),
  keyword()
) :: tensor()
Link to this callback

window_sum(out, tensor, shape, keyword)

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@callback window_sum(out :: tensor(), tensor(), shape(), keyword()) :: tensor()

Functions

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complex_to_string(complex, precision)

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Link to this function

inspect(map, binary, inspect_opts)

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Inspects the given tensor given by binary.

Note the binary may have fewer elements than the tensor size but, in such cases, it must strictly have more elements than inspect_opts.limit

Options

The following must be passed through Inspect :custom_options

  • :nx_precision - Configures the floating-point number printing precision. If set, will print floating-point numbers in scientific notation using the specified number of significant digits. Otherwise, default Elixir printing rules are applied.