Function conv1d

Parameters

• x: TensorLike | T

  The input tensor, of rank 3 or rank 2, of shape [batch, width, inChannels]. If rank 2, batch of 1 is assumed.

• filter: TensorLike | Tensor3D

  The filter, rank 3, of shape [filterWidth, inDepth, outDepth].

• stride: number

  The number of entries by which the filter is moved right at each step.

• pad: number | "same" | "valid" | ExplicitPadding

  The type of padding algorithm.

  • same and stride 1: output will be of same size as input, regardless of filter size.
  • valid: output will be smaller than input if filter is larger than 1x1.
  • For more info, see this guide: https://www.tensorflow.org/api_docs/python/tf/nn/convolution

• Optional dataFormat: "NWC" | "NCW"

  An optional string from "NWC", "NCW". Defaults to "NWC", the data is stored in the order of [batch, in_width, in_channels]. Only "NWC" is currently supported.

• Optional dilation: number

  The dilation rate in which we sample input values in atrous convolution. Defaults to 1. If it is greater than 1, then stride must be 1.

• Optional dimRoundingMode: "floor" | "round" | "ceil"

  A string from: 'ceil', 'round', 'floor'. If none is provided, it will default to truncate.