1D Average Pooling
Applies a 1D average pooling over an input signal composed of several input planes.
Calls nn_avg_pool1d() during training.
kernel_size :: (integer())
The size of the window. Can be a single number or a vector.
stride :: integer()
The stride of the window. Can be a single number or a vector. Default: kernel_size.
padding :: integer()
Implicit zero paddings on both sides of the input. Can be a single number or a vector. Default: 0.
ceil_mode :: integer()
When TRUE, will use ceil instead of floor to compute the output shape. Default: FALSE.
count_include_pad :: logical(1)
When TRUE, will include the zero-padding in the averaging calculation. Default: TRUE.
divisor_override :: logical(1)
If specified, it will be used as divisor, otherwise size of the pooling region will be used. Default: NULL. Only available for dimension greater than 1.
One input channel called "input" and one output channel called "output". For an explanation see PipeOpTorch.
The state is the value calculated by the public method $shapes_out().
# Construct the PipeOp pipeop = po("nn_avg_pool1d") pipeop # The available parameters pipeop$param_set
Other PipeOps: mlr_pipeops_nn_adaptive_avg_pool1d, mlr_pipeops_nn_adaptive_avg_pool2d, mlr_pipeops_nn_adaptive_avg_pool3d, 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
mlr3pipelines::PipeOp -> mlr3torch::PipeOpTorch -> mlr3torch::PipeOpTorchAvgPool -> PipeOpTorchAvgPool1D
new()Creates a new instance of this R6 class.
PipeOpTorchAvgPool1D$new(id = "nn_avg_pool1d", param_vals = list())
id: (character(1))
Identifier of the resulting object.
param_vals: (list())
List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction.
clone()The objects of this class are cloneable with this method.
PipeOpTorchAvgPool1D$clone(deep = FALSE)
deep: Whether to make a deep clone.
Useful links