// TODO remove/move, technically this is testing Nd4j functionality
@Test
public void testCreateFeatureMapMethod() {
Layer layer = getContainedConfig();
INDArray input = getContainedData();
int inputWidth = input.shape()[0];
int featureMapWidth =
(inputWidth + layer.conf().getPadding()[0] * 2 - layer.conf().getKernelSize()[0])
/ layer.conf().getStride()[0]
+ 1;
INDArray expectedOutput =
Nd4j.create(
new double[] {
1, 1, 1, 1, 3, 3, 3, 3, 1, 1, 1, 1, 3, 3, 3, 3, 1, 1, 1, 1, 3, 3, 3,
3, 1, 1, 1, 1, 3, 3, 3, 3, 2, 2, 2, 2, 4, 4, 4, 4, 2, 2, 2, 2, 4, 4,
4, 4, 2, 2, 2, 2, 4, 4, 4, 4, 2, 2, 2, 2, 4, 4, 4, 4
},
new int[] {1, 1, 2, 2, 4, 4});
layer.setInput(input);
org.deeplearning4j.nn.layers.convolution.ConvolutionLayer layer2 =
(org.deeplearning4j.nn.layers.convolution.ConvolutionLayer) layer;
INDArray featureMaps = layer2.createFeatureMapColumn();
assertEquals(featureMapWidth, featureMaps.shape()[4]);
assertEquals(expectedOutput.shape(), featureMaps.shape());
assertEquals(expectedOutput, featureMaps);
}
