function conv1d$1(x, kernel, strides, padding, dataFormat, dilationRate) {
	  if (strides === void 0) {
	    strides = 1;
	  }

	  if (padding === void 0) {
	    padding = 'valid';
	  }

	  if (dilationRate === void 0) {
	    dilationRate = 1;
	  }

	  return tidy(function () {
	    checkDataFormat(dataFormat);
	    return conv1dWithBias(x, kernel, null, strides, padding, dataFormat, dilationRate);
	  });
	}
1D-convolution.

@param x Input tensor, rank-3, of shape `[batchSize, width, inChannels]`.
@param kernel Kernel, rank-3, of shape `[filterWidth, inDepth, outDepth]`.s
@param strides
@param padding Padding mode.
@param dataFormat Data format.
@param dilationRate
@returns The result of the 1D convolution.
@throws ValueError, if `x`, `kernel` or `bias` is not of the correct rank.