Struct burn::nn::conv::Conv1dConfig
pub struct Conv1dConfig {
pub channels_in: usize,
pub channels_out: usize,
pub kernel_size: usize,
pub stride: usize,
pub dilation: usize,
pub groups: usize,
pub padding: PaddingConfig1d,
pub bias: bool,
pub initializer: Initializer,
}
Expand description
Configuration to create a 1D convolution layer using the init function.
Fields§
§channels_in: usize
The number of input channels.
channels_out: usize
The number of output channels.
kernel_size: usize
The size of the kernel.
stride: usize
The stride of the convolution.
dilation: usize
Spacing between kernel elements.
groups: usize
Controls the connections between input and output channels.
padding: PaddingConfig1d
The padding configuration.
bias: bool
If bias should be added to the output.
initializer: Initializer
The type of function used to initialize neural network parameters
Implementations§
§impl Conv1dConfig
impl Conv1dConfig
pub fn new(
channels_in: usize,
channels_out: usize,
kernel_size: usize,
) -> Conv1dConfig
pub fn new( channels_in: usize, channels_out: usize, kernel_size: usize, ) -> Conv1dConfig
Create a new instance of the config.
§impl Conv1dConfig
impl Conv1dConfig
pub fn with_stride(self, stride: usize) -> Conv1dConfig
pub fn with_stride(self, stride: usize) -> Conv1dConfig
The stride of the convolution.
pub fn with_dilation(self, dilation: usize) -> Conv1dConfig
pub fn with_dilation(self, dilation: usize) -> Conv1dConfig
Spacing between kernel elements.
pub fn with_groups(self, groups: usize) -> Conv1dConfig
pub fn with_groups(self, groups: usize) -> Conv1dConfig
Controls the connections between input and output channels.
pub fn with_padding(self, padding: PaddingConfig1d) -> Conv1dConfig
pub fn with_padding(self, padding: PaddingConfig1d) -> Conv1dConfig
The padding configuration.
pub fn with_bias(self, bias: bool) -> Conv1dConfig
pub fn with_bias(self, bias: bool) -> Conv1dConfig
If bias should be added to the output.
pub fn with_initializer(self, initializer: Initializer) -> Conv1dConfig
pub fn with_initializer(self, initializer: Initializer) -> Conv1dConfig
The type of function used to initialize neural network parameters
Trait Implementations§
§impl Clone for Conv1dConfig
impl Clone for Conv1dConfig
§fn clone(&self) -> Conv1dConfig
fn clone(&self) -> Conv1dConfig
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read more§impl Config for Conv1dConfig
impl Config for Conv1dConfig
§impl Debug for Conv1dConfig
impl Debug for Conv1dConfig
§impl<'de> Deserialize<'de> for Conv1dConfig
impl<'de> Deserialize<'de> for Conv1dConfig
§fn deserialize<D>(
deserializer: D,
) -> Result<Conv1dConfig, <D as Deserializer<'de>>::Error>where
D: Deserializer<'de>,
fn deserialize<D>(
deserializer: D,
) -> Result<Conv1dConfig, <D as Deserializer<'de>>::Error>where
D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
§impl Display for Conv1dConfig
impl Display for Conv1dConfig
§impl Serialize for Conv1dConfig
impl Serialize for Conv1dConfig
§fn serialize<S>(
&self,
serializer: S,
) -> Result<<S as Serializer>::Ok, <S as Serializer>::Error>where
S: Serializer,
fn serialize<S>(
&self,
serializer: S,
) -> Result<<S as Serializer>::Ok, <S as Serializer>::Error>where
S: Serializer,
Serialize this value into the given Serde serializer. Read more
Auto Trait Implementations§
impl Freeze for Conv1dConfig
impl RefUnwindSafe for Conv1dConfig
impl Send for Conv1dConfig
impl Sync for Conv1dConfig
impl Unpin for Conv1dConfig
impl UnwindSafe for Conv1dConfig
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
source§unsafe fn clone_to_uninit(&self, dst: *mut T)
unsafe fn clone_to_uninit(&self, dst: *mut T)
🔬This is a nightly-only experimental API. (
clone_to_uninit
)§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read more§impl<T> Pointable for T
impl<T> Pointable for T
§impl<T> ToCompactString for Twhere
T: Display,
impl<T> ToCompactString for Twhere
T: Display,
§fn try_to_compact_string(&self) -> Result<CompactString, ToCompactStringError>
fn try_to_compact_string(&self) -> Result<CompactString, ToCompactStringError>
Fallible version of [
ToCompactString::to_compact_string()
] Read more§fn to_compact_string(&self) -> CompactString
fn to_compact_string(&self) -> CompactString
Converts the given value to a [
CompactString
]. Read more