Define TRANSPOSE_CONV_EX in NeuralNetworksEx.h (#3773)

This patch defines TRANSPOSE_CONV_EX in NeuralNetworksEx.h.
Related issue: #3347

Signed-off-by: b.devansh <b.devansh@samsung.com>

1 files changed, 24 insertions, 0 deletions

diff --git a/include/NeuralNetworksEx.h b/include/NeuralNetworksEx.h
index d8c39e9e0..2c8fd9dc8 100644
--- a/include/NeuralNetworksEx.h
+++ b/include/NeuralNetworksEx.h
@@ -192,6 +192,30 @@ typedef enum {
      * * 0: A tensor of the same {@link OperandCode} as input0.
      */
     ANEURALNETWORKS_TENSORFLOW_SUM_EX = 50009,
+
+    /**
+     * A transposed convolutional layer carries out a regular convolution but reverts its spatisal transformation.
+     * Transpose convolution basically performs convolution with transposed weights.
+     * 
+     * Supported tensor {@link OperandCode}:
+     * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
+     * {@link ANEURALNETWORKS_TENSOR_INT32}
+     * 
+     * Supported tensor rank: only 4
+     * 
+     * Inputs:
+     *   0: An {@link ANEURALNETWORKS_INT32} 1-D four element tensor, specifying the output shape.
+     *   1: A 4-D tensor, of shape [depth_out, filter_height, filter_width, depth_in], specifying the filter.
+     *   2: A 4-D tensor, of shape [batches, height, width, depth_in], specifying the input.
+     *   3: An {@link ANEURALNETWORKS_INT32} scalar, specifying the padding type.
+     *   4: An {@link ANEURALNETWORKS_INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     *   5: An {@link ANEURALNETWORKS_INT32} scalar, specifying the stride when
+     *      walking through input in the height dimension.
+     * 
+     * Outputs:
+     *   0: The output 4-D tensor, of shape [batches, out_height, out_width, depth_out].
+     */
     ANEURALNETWORKS_TRANSPOSE_CONV_EX = 50010,
 
     /**