Conv1d
class Conv1d<T : DType, V>(val inChannels: Int, val outChannels: Int, val kernelSize: Int, val stride: Int = 1, val padding: Int = 0, val dilation: Int = 1, val groups: Int = 1, val bias: Boolean = true, val name: String = "Conv1d", initWeights: Tensor<T, V>, initBias: Tensor<T, V>? = null, val trainable: Boolean = true) : Module<T, V> , ModuleParameters<T, V> (source)
1D Convolutional layer that applies a convolution operation over 1D input.
This layer is commonly used for sequence data like time series or text.
Parameters
inChannels
Number of input channels
outChannels
Number of output channels/filters
kernelSize
Size of the convolving kernel
stride
Stride of the convolution (default: 1)
padding
Padding added to both sides of the input (default: 0)
dilation
Spacing between kernel elements (default: 1)
groups
Number of blocked connections from input channels to output channels (default: 1)
bias
Whether to add a learnable bias to the output (default: true)
name
Name of the module
initWeights
Initial weights tensor
initBias
Initial bias tensor (if bias is true)