Struct DenseLayer 

pub struct DenseLayer {
    pub(crate) inner: DenseLayer,
}

Fields

inner: DenseLayer

Implementations

impl DenseLayer

pub(crate) fn new( n_inputs: usize, n_neurons: usize, length: usize, seed: u64, ) -> Self

pub(crate) fn get_weights(&self) -> Vec<Vec<f64>>

pub(crate) fn set_weights(&mut self, weights: Vec<Vec<f64>>) -> PyResult<()>

pub(crate) fn refresh_packed_weights(&mut self)

pub(crate) fn forward( &self, input_values: Vec<f64>, seed: u64, ) -> PyResult<Vec<f64>>

pub(crate) fn forward_fast( &self, input_values: Vec<f64>, seed: u64, ) -> PyResult<Vec<f64>>

pub(crate) fn forward_numpy<'py>( &self, py: Python<'py>, input_values: PyReadonlyArray1<'py, f64>, seed: u64, ) -> PyResult<Bound<'py, PyArray1<f64>>>

Dense forward accepting numpy input and returning numpy output.

This performs parallel encoding + parallel compute in one FFI call.

pub(crate) fn forward_batch_numpy<'py>( &self, py: Python<'py>, inputs: PyReadonlyArray2<'py, f64>, seed: u64, ) -> PyResult<Bound<'py, PyArray2<f64>>>

Dense forward for a batch of input samples in one FFI call.

inputs must be a contiguous float64 array of shape (n_samples, n_inputs). Returns float64 array of shape (n_samples, n_neurons).

pub(crate) fn forward_prepacked( &self, packed_inputs: &Bound<'_, PyAny>, ) -> PyResult<Vec<f64>>

Forward pass with pre-packed input bitstreams.

Accepts either:

• 2-D numpy array of dtype uint64 with shape (n_inputs, words)
• list[list[int]]

pub(crate) fn forward_prepacked_numpy<'py>( &self, py: Python<'py>, packed_inputs: PyReadonlyArray2<'py, u64>, ) -> PyResult<Bound<'py, PyArray1<f64>>>

Dense forward with pre-packed numpy 2-D input (true zero-copy).

Accepts a contiguous numpy uint64 array of shape (n_inputs, words). This avoids all row-copying that the forward_prepacked method does.

Trait Implementations

impl<'py> IntoPyObject<'py> for DenseLayer

type Target = DenseLayer

The Python output type

type Output = Bound<'py, <DenseLayer as IntoPyObject<'py>>::Target>

The smart pointer type to use.

type Error = PyErr

The type returned in the event of a conversion error.

fn into_pyobject( self, py: Python<'py>, ) -> Result<<Self as IntoPyObject<'_>>::Output, <Self as IntoPyObject<'_>>::Error>

Performs the conversion.

impl PyClass for DenseLayer

const NAME: &str = "DenseLayer"

Name of the class.

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for DenseLayer

const MODULE: Option<&str>

Module which the class will be associated with.

const IS_BASETYPE: bool = false

#[pyclass(subclass)]

const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]

const IS_MAPPING: bool = false

#[pyclass(mapping)]

const IS_SEQUENCE: bool = false

#[pyclass(sequence)]

const IS_IMMUTABLE_TYPE: bool = false

#[pyclass(immutable_type)]

const RAW_DOC: &'static CStr = c"\x00"

Docstring for the class provided on the struct or enum.

const DOC: &'static CStr

Fully rendered class doc, including the text_signature if a constructor is defined.

type Layout = <<DenseLayer as PyClassImpl>::BaseNativeType as PyClassBaseType>::Layout<DenseLayer>

Description of how this class is laid out in memory

type BaseType = PyAny

Base class

type ThreadChecker = NoopThreadChecker

This handles following two situations:

type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::MutableChild

Immutable or mutable

type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.

type WeakRef = PyClassDummySlot

Specify this class has #[pyclass(weakref)] or not.

type BaseNativeType = PyAny

The closest native ancestor. This is PyAny by default, and when you declare #[pyclass(extends=PyDict)], it’s PyDict.

fn items_iter() -> PyClassItemsIter

fn lazy_type_object() -> &'static LazyTypeObject<Self>

fn dict_offset() -> Option<PyObjectOffset>

Used to provide the dictoffset slot (equivalent to tp_dictoffset)

fn weaklist_offset() -> Option<PyObjectOffset>

Used to provide the weaklistoffset slot (equivalent to tp_weaklistoffset

impl PyClassNewTextSignature for DenseLayer

const TEXT_SIGNATURE: &'static str = "(n_inputs, n_neurons, length=1024, seed=24301)"

impl PyMethods<DenseLayer> for PyClassImplCollector<DenseLayer>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for DenseLayer

const NAME: &str = <Self as ::pyo3::PyClass>::NAME

👎Deprecated since 0.28.0:

prefer using ::type_object(py).name() to get the correct runtime value

Class name.

const MODULE: Option<&str> = <Self as ::pyo3::impl_::pyclass::PyClassImpl>::MODULE

👎Deprecated since 0.28.0:

prefer using ::type_object(py).module() to get the correct runtime value

Module name, if any.

fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.

fn type_object(py: Python<'_>) -> Bound<'_, PyType>

Returns the safe abstraction over the type object.

fn is_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type or a subclass of this type.

fn is_exact_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type.

impl DerefToPyAny for DenseLayer

impl ExtractPyClassWithClone for DenseLayer