Struct burn_core::nn::conv::ConvTranspose2d

pub struct ConvTranspose2d<B: Backend> {
    pub weight: Param<Tensor<B, 4>>,
    pub bias: Option<Param<Tensor<B, 1>>>,
    /* private fields */
}

Applies a 2D transposed convolution over input tensors.

Params

• weight: Tensor of shape [channels_in, channels_out / groups, kernel_size_1, kernel_size_2]

• bias: Tensor of shape [channels_out]

Fields

weight: Param<Tensor<B, 4>>

Tensor of shape [channels_in, channels_out / groups, kernel_size_1, kernel_size_2]

bias: Option<Param<Tensor<B, 1>>>

Tensor of shape [channels_out]

Implementations

impl<B: Backend> ConvTranspose2d<B>

pub fn forward(&self, input: Tensor<B, 4>) -> Tensor<B, 4>

Applies the forward pass on the input tensor.

Shapes

• input: [batch_size, channels_in, height_in, width_in],
• output: [batch_size, channels_out, height_out, width_out],

Trait Implementations

impl<B> AutodiffModule<B> for ConvTranspose2d<B>

where B: AutodiffBackend + Backend, <B as AutodiffBackend>::InnerBackend: Backend,

type InnerModule = ConvTranspose2d<<B as AutodiffBackend>::InnerBackend>

Inner module without auto-differentiation.

fn valid(&self) -> Self::InnerModule

Get the same module, but on the inner backend without auto-differentiation.

impl<B: Backend> Clone for ConvTranspose2d<B>

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<B: Debug + Backend> Debug for ConvTranspose2d<B>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<B: Backend> Display for ConvTranspose2d<B>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<B: Backend> Module<B> for ConvTranspose2d<B>

type Record = ConvTranspose2dRecord<B>

Type to save and load the module.

fn load_record(self, record: Self::Record) -> Self

Load the module state from a record.

fn into_record(self) -> Self::Record

Convert the module into a record containing the state.

fn num_params(&self) -> usize

Get the number of parameters the module has, including all of its sub-modules.

fn visit<Visitor: ModuleVisitor<B>>(&self, visitor: &mut Visitor)

Visit each tensor parameter in the module with a visitor.

fn map<Mapper: ModuleMapper<B>>(self, mapper: &mut Mapper) -> Self

Map each tensor parameter in the module with a mapper.

fn collect_devices(&self, devices: Devices<B>) -> Devices<B>

Return all the devices found in the underneath module tree added to the given vector without duplicates.

fn to_device(self, device: &B::Device) -> Self

Move the module and all of its sub-modules to the given device.

fn fork(self, device: &B::Device) -> Self

Fork the module and all of its sub-modules to the given device.

fn devices(&self) -> Devices<B>

Return all the devices found in the underneath module tree without duplicates.

fn no_grad(self) -> Self

Each tensor in the module tree will not require grad.

fn save_file<FR, PB>( self, file_path: PB, recorder: &FR ) -> Result<(), RecorderError>

where FR: FileRecorder<B>, PB: Into<PathBuf>,

Save the module to a file using the provided file recorder.

fn load_file<FR, PB>( self, file_path: PB, recorder: &FR, device: &B::Device ) -> Result<Self, RecorderError>

where FR: FileRecorder<B>, PB: Into<PathBuf>,

Load the module from a file using the provided file recorder.