mlr_pipeops_nn_adaptive_avg_pool2d function

2D Adaptive Average Pooling

Applies a 2D adaptive average pooling over an input signal composed of several input planes.

nn_module

Calls nn_adaptive_avg_pool2d() during training.

Parameters

• output_size :: integer()

  The target output size. Can be a single number or a vector.

Input and Output Channels

One input channel called "input" and one output channel called "output". For an explanation see PipeOpTorch.

State

The state is the value calculated by the public method $shapes_out().

Examples

# Construct the PipeOp
pipeop = po("nn_adaptive_avg_pool2d")
pipeop
# The available parameters
pipeop$param_set

See Also

Other PipeOps: mlr_pipeops_nn_adaptive_avg_pool1d, mlr_pipeops_nn_adaptive_avg_pool3d, mlr_pipeops_nn_avg_pool1d, mlr_pipeops_nn_avg_pool2d, mlr_pipeops_nn_avg_pool3d, mlr_pipeops_nn_batch_norm1d, mlr_pipeops_nn_batch_norm2d, mlr_pipeops_nn_batch_norm3d, mlr_pipeops_nn_block, mlr_pipeops_nn_celu, mlr_pipeops_nn_conv1d, mlr_pipeops_nn_conv2d, mlr_pipeops_nn_conv3d, mlr_pipeops_nn_conv_transpose1d, mlr_pipeops_nn_conv_transpose2d, mlr_pipeops_nn_conv_transpose3d, mlr_pipeops_nn_dropout, mlr_pipeops_nn_elu, mlr_pipeops_nn_flatten, mlr_pipeops_nn_gelu, mlr_pipeops_nn_glu, mlr_pipeops_nn_hardshrink, mlr_pipeops_nn_hardsigmoid, mlr_pipeops_nn_hardtanh, mlr_pipeops_nn_head, mlr_pipeops_nn_layer_norm, mlr_pipeops_nn_leaky_relu, mlr_pipeops_nn_linear, mlr_pipeops_nn_log_sigmoid, mlr_pipeops_nn_max_pool1d, mlr_pipeops_nn_max_pool2d, mlr_pipeops_nn_max_pool3d, mlr_pipeops_nn_merge, mlr_pipeops_nn_merge_cat, mlr_pipeops_nn_merge_prod, mlr_pipeops_nn_merge_sum, mlr_pipeops_nn_prelu, mlr_pipeops_nn_relu, mlr_pipeops_nn_relu6, mlr_pipeops_nn_reshape, mlr_pipeops_nn_rrelu, mlr_pipeops_nn_selu, mlr_pipeops_nn_sigmoid, mlr_pipeops_nn_softmax, mlr_pipeops_nn_softplus, mlr_pipeops_nn_softshrink, mlr_pipeops_nn_softsign, mlr_pipeops_nn_squeeze, mlr_pipeops_nn_tanh, mlr_pipeops_nn_tanhshrink, mlr_pipeops_nn_threshold, mlr_pipeops_nn_unsqueeze, mlr_pipeops_torch_ingress, mlr_pipeops_torch_ingress_categ, mlr_pipeops_torch_ingress_ltnsr, mlr_pipeops_torch_ingress_num, mlr_pipeops_torch_loss, mlr_pipeops_torch_model, mlr_pipeops_torch_model_classif, mlr_pipeops_torch_model_regr

Super classes

mlr3pipelines::PipeOp -> mlr3torch::PipeOpTorch -> mlr3torch::PipeOpTorchAdaptiveAvgPool -> PipeOpTorchAdaptiveAvgPool2D

Methods

Public methods

• list("PipeOpTorchAdaptiveAvgPool2D$new()")

• list("PipeOpTorchAdaptiveAvgPool2D$clone()")

Method new()

Creates a new instance of this R6 class.

Usage

PipeOpTorchAdaptiveAvgPool2D$new(
  id = "nn_adaptive_avg_pool2d",
  param_vals = list()
)

Arguments

• id: (character(1))

   Identifier of the resulting object.
  

• param_vals: (list())

   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction.
  

Method clone()

The objects of this class are cloneable with this method.

Usage

PipeOpTorchAdaptiveAvgPool2D$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.