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Conv2dFilterLayout
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LiteRtNode
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Pool2dOptions
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Shape
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ShapeError
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TensorError
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TensorOps
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TfliteCpuRunner
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TfliteCpuRunnerCache
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TfliteCpuRunnerCacheMetrics
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TfliteModel
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TfliteRunnerInput
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TfliteRunnerValues
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TfliteRuntimeDataType
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TfliteRuntimeTensor
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WebNNCapabilities
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WebNNContextContract
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WebNNExecution
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WebNNGraphBuilder
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WebNNInput
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WebNNLoweredLiteRtGraph
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WebNNNamedValues
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WebNNProgram
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WebNNTensor
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compatibility_mode
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dequantize_int8
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dequantize_uint8
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probe_capabilities
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requantize_int8
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requantize_uint8

README

mizchi/webnn/webnn/raw does not have a README file

#
ML

#external
pub type ML

#
ML::as_any

source

fn ML::as_any(self : ML) -> @mizchi/js/core.Any
Any

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ML::create_context

source

async fn ML::create_context(self : ML, options : @mizchi/js/core.Any
Any) -> MLContext

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MLContext

source

#external
pub type MLContext

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MLContext::as_any

source

fn MLContext::as_any(self : MLContext) -> @mizchi/js/core.Any
Any

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MLContext::create_tensor

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async fn MLContext::create_tensor(self : MLContext, dimensions : Array[Int], writable : Bool, readable : Bool) -> MLTensor

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MLContext::destroy

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fn MLContext::destroy(self : MLContext) -> Unit

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MLContext::dispatch_many

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fn MLContext::dispatch_many(self : MLContext, graph : MLGraph, input_names : Array[String], inputs : Array[MLTensor], output_names : Array[String], outputs : Array[MLTensor]) -> Unit

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MLContext::dispatch_single

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fn MLContext::dispatch_single(self : MLContext, graph : MLGraph, input_name : String, input : MLTensor, output_name : String, output : MLTensor) -> Unit

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MLContext::has_op_support_limits

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fn MLContext::has_op_support_limits(self : MLContext) -> Bool

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MLContext::has_tensor_io

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fn MLContext::has_tensor_io(self : MLContext) -> Bool

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MLContext::preferred_input_layout

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fn MLContext::preferred_input_layout(self : MLContext) -> String

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MLContext::read_tensor

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async fn MLContext::read_tensor(self : MLContext, tensor : MLTensor) -> Array[Float]

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MLContext::supported_operators

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fn MLContext::supported_operators(self : MLContext, candidates : Array[String]) -> Array[String]

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MLContext::write_tensor

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fn MLContext::write_tensor(self : MLContext, tensor : MLTensor, values : Array[Float]) -> Unit

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MLGraph

source

#external
pub type MLGraph

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MLGraph::as_any

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fn MLGraph::as_any(self : MLGraph) -> @mizchi/js/core.Any
Any

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MLGraphBuilder

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#external
pub type MLGraphBuilder

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MLGraphBuilder::add

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fn MLGraphBuilder::add(self : MLGraphBuilder, lhs : MLOperand, rhs : MLOperand) -> MLOperand

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MLGraphBuilder::as_any

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fn MLGraphBuilder::as_any(self : MLGraphBuilder) -> @mizchi/js/core.Any
Any

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MLGraphBuilder::average_pool2d

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fn MLGraphBuilder::average_pool2d(self : MLGraphBuilder, input : MLOperand, window_dimensions : Array[Int], padding : Array[Int], strides : Array[Int], dilations : Array[Int], layout : String) -> MLOperand

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MLGraphBuilder::build

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async fn MLGraphBuilder::build(self : MLGraphBuilder, output_name : String, output : MLOperand) -> MLGraph

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MLGraphBuilder::build_many

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async fn MLGraphBuilder::build_many(self : MLGraphBuilder, output_names : Array[String], outputs : Array[MLOperand]) -> MLGraph

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MLGraphBuilder::clamp

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fn MLGraphBuilder::clamp(self : MLGraphBuilder, input : MLOperand, minimum : Float, maximum : Float) -> MLOperand

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MLGraphBuilder::concat

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fn MLGraphBuilder::concat(self : MLGraphBuilder, inputs : Array[MLOperand], axis : Int) -> MLOperand

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MLGraphBuilder::constant_float32

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fn MLGraphBuilder::constant_float32(self : MLGraphBuilder, dimensions : Array[Int], values : Array[Float]) -> MLOperand

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MLGraphBuilder::constant_int32

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fn MLGraphBuilder::constant_int32(self : MLGraphBuilder, dimensions : Array[Int], values : Array[Int]) -> MLOperand

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MLGraphBuilder::conv2d

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fn MLGraphBuilder::conv2d(self : MLGraphBuilder, input : MLOperand, filter : MLOperand, padding : Array[Int], strides : Array[Int], dilations : Array[Int], groups : Int, input_layout : String, filter_layout : String) -> MLOperand

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MLGraphBuilder::div

source

fn MLGraphBuilder::div(self : MLGraphBuilder, lhs : MLOperand, rhs : MLOperand) -> MLOperand

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MLGraphBuilder::gather

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fn MLGraphBuilder::gather(self : MLGraphBuilder, input : MLOperand, indices : MLOperand, axis : Int) -> MLOperand

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MLGraphBuilder::gelu

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fn MLGraphBuilder::gelu(self : MLGraphBuilder, input : MLOperand) -> MLOperand

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MLGraphBuilder::input

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fn MLGraphBuilder::input(self : MLGraphBuilder, name : String, dimensions : Array[Int]) -> MLOperand

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MLGraphBuilder::layer_normalization

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fn MLGraphBuilder::layer_normalization(self : MLGraphBuilder, input : MLOperand, scale : MLOperand, bias : MLOperand, axes : Array[Int], epsilon : Float) -> MLOperand

#
MLGraphBuilder::matmul

source

fn MLGraphBuilder::matmul(self : MLGraphBuilder, lhs : MLOperand, rhs : MLOperand) -> MLOperand

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MLGraphBuilder::max_pool2d

source

fn MLGraphBuilder::max_pool2d(self : MLGraphBuilder, input : MLOperand, window_dimensions : Array[Int], padding : Array[Int], strides : Array[Int], dilations : Array[Int], layout : String) -> MLOperand

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MLGraphBuilder::mul

source

fn MLGraphBuilder::mul(self : MLGraphBuilder, lhs : MLOperand, rhs : MLOperand) -> MLOperand

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MLGraphBuilder::new

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fn MLGraphBuilder::new(context : MLContext) -> MLGraphBuilder

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MLGraphBuilder::reduce_mean

source

fn MLGraphBuilder::reduce_mean(self : MLGraphBuilder, input : MLOperand, axes : Array[Int], keep_dimensions : Bool) -> MLOperand

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MLGraphBuilder::relu

source

fn MLGraphBuilder::relu(self : MLGraphBuilder, input : MLOperand) -> MLOperand

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MLGraphBuilder::reshape

source

fn MLGraphBuilder::reshape(self : MLGraphBuilder, input : MLOperand, dimensions : Array[Int]) -> MLOperand

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MLGraphBuilder::sigmoid

source

fn MLGraphBuilder::sigmoid(self : MLGraphBuilder, input : MLOperand) -> MLOperand

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MLGraphBuilder::slice

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fn MLGraphBuilder::slice(self : MLGraphBuilder, input : MLOperand, starts : Array[Int], sizes : Array[Int]) -> MLOperand

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MLGraphBuilder::softmax

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fn MLGraphBuilder::softmax(self : MLGraphBuilder, input : MLOperand, axis : Int) -> MLOperand

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MLGraphBuilder::sub

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fn MLGraphBuilder::sub(self : MLGraphBuilder, lhs : MLOperand, rhs : MLOperand) -> MLOperand

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MLGraphBuilder::tanh

source

fn MLGraphBuilder::tanh(self : MLGraphBuilder, input : MLOperand) -> MLOperand

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MLGraphBuilder::transpose

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fn MLGraphBuilder::transpose(self : MLGraphBuilder, input : MLOperand, permutation : Array[Int]) -> MLOperand

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MLOperand

source

#external
pub type MLOperand

#
MLOperand::as_any

source

fn MLOperand::as_any(self : MLOperand) -> @mizchi/js/core.Any
Any

#
MLTensor

source

#external
pub type MLTensor

#
MLTensor::as_any

source

fn MLTensor::as_any(self : MLTensor) -> @mizchi/js/core.Any
Any

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MLTensor::destroy

source

fn MLTensor::destroy(self : MLTensor) -> Unit

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context_options

source

fn context_options(accelerated_contract : Bool, device_type : String) -> @mizchi/js/core.Any
Any

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float32_array

source

fn float32_array(values : Array[Float]) -> @mizchi/js/core.Any
Any

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float32_values

source

fn float32_values(buffer : @mizchi/js/core.Any
Any) -> Array[Float]

#
ml

source

fn ml() -> ML?

#
same_builder

source

fn same_builder(lhs : MLGraphBuilder, rhs : MLGraphBuilder) -> Bool

#
uses_accelerated_contract

source

fn uses_accelerated_contract() -> Bool

Source Files

raw.mbt

Site source Report issue Packages Build queue Skills Statistics

#ML

#ML::as_any

#ML::create_context

#MLContext

#MLContext::as_any

#MLContext::create_tensor

#MLContext::destroy

#MLContext::dispatch_many

#MLContext::dispatch_single

#MLContext::has_op_support_limits

#MLContext::has_tensor_io

#MLContext::preferred_input_layout

#MLContext::read_tensor

#MLContext::supported_operators

#MLContext::write_tensor

#MLGraph

#MLGraph::as_any

#MLGraphBuilder

#MLGraphBuilder::add

#MLGraphBuilder::as_any

#MLGraphBuilder::average_pool2d

#MLGraphBuilder::build

#MLGraphBuilder::build_many

#MLGraphBuilder::clamp

#MLGraphBuilder::concat

#MLGraphBuilder::constant_float32

#MLGraphBuilder::constant_int32

#MLGraphBuilder::conv2d

#MLGraphBuilder::div

#MLGraphBuilder::gather

#MLGraphBuilder::gelu

#MLGraphBuilder::input

#MLGraphBuilder::layer_normalization

#MLGraphBuilder::matmul

#MLGraphBuilder::max_pool2d

#MLGraphBuilder::mul

#MLGraphBuilder::new

#MLGraphBuilder::reduce_mean

#MLGraphBuilder::relu

#MLGraphBuilder::reshape

#MLGraphBuilder::sigmoid

#MLGraphBuilder::slice

#MLGraphBuilder::softmax

#MLGraphBuilder::sub

#MLGraphBuilder::tanh

#MLGraphBuilder::transpose

#MLOperand

#MLOperand::as_any

#MLTensor

#MLTensor::as_any

#MLTensor::destroy

#context_options

#float32_array

#float32_values

#ml

#same_builder

#uses_accelerated_contract

Source Files

#
ML

#
ML::as_any

#
ML::create_context

#
MLContext

#
MLContext::as_any

#
MLContext::create_tensor

#
MLContext::destroy

#
MLContext::dispatch_many

#
MLContext::dispatch_single

#
MLContext::has_op_support_limits

#
MLContext::has_tensor_io

#
MLContext::preferred_input_layout

#
MLContext::read_tensor

#
MLContext::supported_operators

#
MLContext::write_tensor

#
MLGraph

#
MLGraph::as_any

#
MLGraphBuilder

#
MLGraphBuilder::add

#
MLGraphBuilder::as_any

#
MLGraphBuilder::average_pool2d

#
MLGraphBuilder::build

#
MLGraphBuilder::build_many

#
MLGraphBuilder::clamp

#
MLGraphBuilder::concat

#
MLGraphBuilder::constant_float32

#
MLGraphBuilder::constant_int32

#
MLGraphBuilder::conv2d

#
MLGraphBuilder::div

#
MLGraphBuilder::gather

#
MLGraphBuilder::gelu

#
MLGraphBuilder::input

#
MLGraphBuilder::layer_normalization

#
MLGraphBuilder::matmul

#
MLGraphBuilder::max_pool2d

#
MLGraphBuilder::mul

#
MLGraphBuilder::new

#
MLGraphBuilder::reduce_mean

#
MLGraphBuilder::relu

#
MLGraphBuilder::reshape

#
MLGraphBuilder::sigmoid

#
MLGraphBuilder::slice

#
MLGraphBuilder::softmax

#
MLGraphBuilder::sub

#
MLGraphBuilder::tanh

#
MLGraphBuilder::transpose

#
MLOperand

#
MLOperand::as_any

#
MLTensor

#
MLTensor::as_any

#
MLTensor::destroy

#
context_options

#
float32_array

#
float32_values

#
ml

#
same_builder

#
uses_accelerated_contract