function upSampling2d(args) {
	  return new UpSampling2D(args);
	}
Upsampling layer for 2D inputs.

Repeats the rows and columns of the data
by size[0] and size[1] respectively.


Input shape:
   4D tensor with shape:
    - If `dataFormat` is `"channelsLast"`:
        `[batch, rows, cols, channels]`
    - If `dataFormat` is `"channelsFirst"`:
       `[batch, channels, rows, cols]`

Output shape:
    4D tensor with shape:
    - If `dataFormat` is `"channelsLast"`:
       `[batch, upsampledRows, upsampledCols, channels]`
    - If `dataFormat` is `"channelsFirst"`:
        `[batch, channels, upsampledRows, upsampledCols]`


@doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}