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README
U
Conv2dFilterLayout
U
Conv2dOptions
U
DevicePreference
U
InputLayout
U
LiteRtError
U
LiteRtLoweredValue
U
LiteRtModel
U
LiteRtNode
U
LiteRtValue
U
Pool2dOptions
U
Shape
U
ShapeError
U
TensorError
U
TensorOps
U
TfliteCpuRunner
U
TfliteCpuRunnerCache
U
TfliteCpuRunnerCacheMetrics
U
TfliteModel
U
TfliteModelArtifact
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TfliteRunner
U
TfliteRunnerCache
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TfliteRunnerCacheKey
U
TfliteRunnerCacheMetrics
U
TfliteRunnerInput
U
TfliteRunnerOutput
U
TfliteRunnerValues
U
TfliteRuntimeDataType
U
TfliteRuntimeModel
U
TfliteRuntimeTensor
U
WebNNCapabilities
U
WebNNContextContract
U
WebNNExecution
U
WebNNGraphBuilder
U
WebNNInput
U
WebNNLoweredLiteRtGraph
U
WebNNNamedValues
U
WebNNOutput
U
WebNNProgram
U
WebNNProgramCache
U
WebNNProgramCacheKey
U
WebNNRuntime
U
WebNNRuntimeFallback
U
WebNNRuntimeMetrics
U
WebNNSession
U
WebNNTensor
V
compatibility_mode
V
dequantize_int8
V
dequantize_uint8
V
probe_capabilities
V
requantize_int8
V
requantize_uint8

README

mizchi/webnn/shape does not have a README file

#
ShapeError

pub suberror ShapeError {
  ShapeError(String)
}

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ShapeError::to_string

source

fn ShapeError::to_string(self : ShapeError) -> String

#
Conv2dFilterLayout

source

pub(all) enum Conv2dFilterLayout {
  Oihw
  Hwio
} derive(Eq, @moonbitlang/core/debug.Debug
Debug)

#
Conv2dFilterLayout::to_webnn_string

source

fn Conv2dFilterLayout::to_webnn_string(self : Conv2dFilterLayout) -> String

#
Conv2dOptions

source

pub struct Conv2dOptions {
  padding_ : Array[Int]
  strides_ : Array[Int]
  dilations_ : Array[Int]
  groups_ : Int
  input_layout_ : InputLayout
  filter_layout_ : Conv2dFilterLayout
}

Validated 2-D convolution options.

#
Conv2dOptions::default

source

fn Conv2dOptions::default() -> Conv2dOptions

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Conv2dOptions::dilations

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fn Conv2dOptions::dilations(self : Conv2dOptions) -> Array[Int]

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Conv2dOptions::filter_layout

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fn Conv2dOptions::filter_layout(self : Conv2dOptions) -> Conv2dFilterLayout

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Conv2dOptions::groups

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fn Conv2dOptions::groups(self : Conv2dOptions) -> Int

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Conv2dOptions::input_layout

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fn Conv2dOptions::input_layout(self : Conv2dOptions) -> InputLayout

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Conv2dOptions::new

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fn Conv2dOptions::new(padding : Array[Int], strides : Array[Int], dilations : Array[Int], groups : Int) -> Conv2dOptions raise ShapeError

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Conv2dOptions::new_with_layout

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fn Conv2dOptions::new_with_layout(padding : Array[Int], strides : Array[Int], dilations : Array[Int], groups : Int, input_layout : InputLayout, filter_layout : Conv2dFilterLayout) -> Conv2dOptions raise ShapeError

#
Conv2dOptions::padding

source

fn Conv2dOptions::padding(self : Conv2dOptions) -> Array[Int]

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Conv2dOptions::strides

source

fn Conv2dOptions::strides(self : Conv2dOptions) -> Array[Int]

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InputLayout

source

pub(all) enum InputLayout {
  Nchw
  Nhwc
} derive(Eq, @moonbitlang/core/debug.Debug
Debug)

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InputLayout::to_webnn_string

source

fn InputLayout::to_webnn_string(self : InputLayout) -> String

#
Pool2dOptions

source

pub struct Pool2dOptions {
  window_dimensions_ : Array[Int]
  padding_ : Array[Int]
  strides_ : Array[Int]
  dilations_ : Array[Int]
  input_layout_ : InputLayout
}

Validated 2-D pooling options.

#
Pool2dOptions::dilations

source

fn Pool2dOptions::dilations(self : Pool2dOptions) -> Array[Int]

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Pool2dOptions::input_layout

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fn Pool2dOptions::input_layout(self : Pool2dOptions) -> InputLayout

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Pool2dOptions::new

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fn Pool2dOptions::new(window_dimensions : Array[Int], padding : Array[Int], strides : Array[Int], dilations : Array[Int]) -> Pool2dOptions raise ShapeError

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Pool2dOptions::new_with_layout

source

fn Pool2dOptions::new_with_layout(window_dimensions : Array[Int], padding : Array[Int], strides : Array[Int], dilations : Array[Int], input_layout : InputLayout) -> Pool2dOptions raise ShapeError

#
Pool2dOptions::padding

source

fn Pool2dOptions::padding(self : Pool2dOptions) -> Array[Int]

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Pool2dOptions::strides

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fn Pool2dOptions::strides(self : Pool2dOptions) -> Array[Int]

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Pool2dOptions::window_dimensions

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fn Pool2dOptions::window_dimensions(self : Pool2dOptions) -> Array[Int]

#
Shape

source

pub struct Shape {
  dimensions_ : Array[Int]
}

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Shape::broadcast

source

fn Shape::broadcast(lhs : Shape, rhs : Shape) -> Shape raise ShapeError

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Shape::concat

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fn Shape::concat(lhs : Shape, rhs : Shape, axis : Int) -> Shape raise ShapeError

Return the shape produced by binary concatenation along axis.

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Shape::conv2d

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fn Shape::conv2d(input : Shape, filter : Shape, options : Conv2dOptions) -> Shape raise ShapeError

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Shape::conv2d_nchw_oihw

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fn Shape::conv2d_nchw_oihw(input : Shape, filter : Shape, options : Conv2dOptions) -> Shape raise ShapeError

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Shape::dimension

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fn Shape::dimension(self : Shape, index : Int) -> Int

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Shape::dimensions

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fn Shape::dimensions(self : Shape) -> Array[Int]

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Shape::element_count

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fn Shape::element_count(self : Shape) -> Int

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Shape::gather

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fn Shape::gather(self : Shape, indices : Shape, axis : Int) -> Shape raise ShapeError

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Shape::layer_normalization

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fn Shape::layer_normalization(input : Shape, scale : Shape, bias : Shape, axes : Array[Int], epsilon : Float) -> Shape raise ShapeError

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Shape::matmul

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fn Shape::matmul(lhs : Shape, rhs : Shape) -> Shape raise ShapeError

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Shape::new

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fn Shape::new(dimensions : Array[Int]) -> Shape raise ShapeError

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Shape::pool2d

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fn Shape::pool2d(input : Shape, options : Pool2dOptions) -> Shape raise ShapeError

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Shape::rank

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fn Shape::rank(self : Shape) -> Int

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Shape::reduce

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fn Shape::reduce(self : Shape, axes : Array[Int], keep_dimensions : Bool) -> Shape raise ShapeError

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Shape::same_as

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fn Shape::same_as(self : Shape, other : Shape) -> Bool

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Shape::slice

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fn Shape::slice(self : Shape, starts : Array[Int], sizes : Array[Int]) -> Shape raise ShapeError

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Shape::to_string

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fn Shape::to_string(self : Shape) -> String

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Shape::transpose

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fn Shape::transpose(self : Shape, permutation : Array[Int]) -> Shape raise ShapeError

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Shape::validate_axis

source

fn Shape::validate_axis(self : Shape, axis : Int) -> Unit raise ShapeError

Source Files

shape.mbt

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#ShapeError

#ShapeError::to_string

#Conv2dFilterLayout

#Conv2dFilterLayout::to_webnn_string

#Conv2dOptions

#Conv2dOptions::default

#Conv2dOptions::dilations

#Conv2dOptions::filter_layout

#Conv2dOptions::groups

#Conv2dOptions::input_layout

#Conv2dOptions::new

#Conv2dOptions::new_with_layout

#Conv2dOptions::padding

#Conv2dOptions::strides

#InputLayout

#InputLayout::to_webnn_string

#Pool2dOptions

#Pool2dOptions::dilations

#Pool2dOptions::input_layout

#Pool2dOptions::new

#Pool2dOptions::new_with_layout

#Pool2dOptions::padding

#Pool2dOptions::strides

#Pool2dOptions::window_dimensions

#Shape

#Shape::broadcast

#Shape::concat

#Shape::conv2d

#Shape::conv2d_nchw_oihw

#Shape::dimension

#Shape::dimensions

#Shape::element_count

#Shape::gather

#Shape::layer_normalization

#Shape::matmul

#Shape::new

#Shape::pool2d

#Shape::rank

#Shape::reduce

#Shape::same_as

#Shape::slice

#Shape::to_string

#Shape::transpose

#Shape::validate_axis

Source Files

#
ShapeError

#
ShapeError::to_string

#
Conv2dFilterLayout

#
Conv2dFilterLayout::to_webnn_string

#
Conv2dOptions

#
Conv2dOptions::default

#
Conv2dOptions::dilations

#
Conv2dOptions::filter_layout

#
Conv2dOptions::groups

#
Conv2dOptions::input_layout

#
Conv2dOptions::new

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Conv2dOptions::new_with_layout

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Conv2dOptions::padding

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Conv2dOptions::strides

#
InputLayout

#
InputLayout::to_webnn_string

#
Pool2dOptions

#
Pool2dOptions::dilations

#
Pool2dOptions::input_layout

#
Pool2dOptions::new

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Pool2dOptions::new_with_layout

#
Pool2dOptions::padding

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Pool2dOptions::strides

#
Pool2dOptions::window_dimensions

#
Shape

#
Shape::broadcast

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Shape::concat

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Shape::conv2d

#
Shape::conv2d_nchw_oihw

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Shape::dimension

#
Shape::dimensions

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Shape::element_count

#
Shape::gather

#
Shape::layer_normalization

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Shape::matmul

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Shape::new

#
Shape::pool2d

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Shape::rank

#
Shape::reduce

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Shape::same_as

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Shape::slice

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Shape::to_string

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Shape::transpose

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Shape::validate_axis