Update comment for STRIDED_SLICE in NeuralNetworks.h (#1460)

- Update comment for STRIDED_SLICE in NeuralNetworks.h,
  because operands of STRIDED_SLICE has been implemented by
  following parameters defined in the latest Android NN API.

Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>

diff --git a/include/NeuralNetworks.h b/include/NeuralNetworks.h
index 5f481c0..11afb53 100644 (file)
--- a/include/NeuralNetworks.h
+++ b/include/NeuralNetworks.h
@@ -1201,28 +1201,42 @@ typedef enum {
     /**
      * Extracts a strided slice of a tensor.
      *
-     * Roughly speaking, this op extracts a slice of size (end - begin) / stride from the given
-     * input tensor. Starting at the location specified by begin the slice continues by adding
-     * stride to the index until all dimensions are not less than end. Note that a stride can
-     * be negative, which causes a reverse slice.
+     * Roughly speaking, this op extracts a slice of size (end - begin) / stride
+     * from the given input tensor. Starting at the location specified by begin
+     * the slice continues by adding stride to the index until all dimensions
+     * are not less than end. Note that a stride can be negative, which causes a
+     * reverse slice.
      *
-     * Supported tensor types:
+     * Supported tensor {@link OperandCode}:
      * * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
      * * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
      *
      * Supported tensor rank: up to 4
      *
      * Inputs:
-     * 0: An n-D tensor, specifying the tensor to be sliced.
-     * 1: A 1-D Tensor of type TENSOR_INT32, the starts of the dimensions of the input
-     *    tensor to be sliced. The length must be of rank(input0).
-     * 2: A 1-D Tensor of type TENSOR_INT32, the ends of the dimensions of the input
-     *    tensor to be sliced. The length must be of rank(input0).
-     * 3: A 1-D Tensor of type TENSOR_INT32, the strides of the dimensions of the input
-     *    tensor to be sliced. The length must be of rank(input0).
+     * * 0: An n-D tensor, specifying the tensor to be sliced.
+     * * 1: A 1-D Tensor of {@link ANEURALNETWORKS_TENSOR_INT32}, the starts of
+     *      the dimensions of the input tensor to be sliced. The length must be
+     *      of rank(input0).
+     * * 2: A 1-D Tensor of {@link ANEURALNETWORKS_TENSOR_INT32}, the ends of
+     *      the dimensions of the input tensor to be sliced. The length must be
+     *      of rank(input0).
+     * * 3: A 1-D Tensor of {@link ANEURALNETWORKS_TENSOR_INT32}, the strides of
+     *      the dimensions of the input tensor to be sliced. The length must be
+     *      of rank(input0).
+     * * 4: An {@link ANEURALNETWORKS_INT32} scalar, begin_mask. If the ith bit
+     *      of begin_mask is set, begin[i] is ignored and the fullest possible
+     *      range in that dimension is used instead.
+     * * 5: An {@link ANEURALNETWORKS_INT32} scalar, end_mask. If the ith bit of
+     *      end_mask is set, end[i] is ignored and the fullest possible range in
+     *      that dimension is used instead.
+     * * 6: An {@link ANEURALNETWORKS_INT32} scalar, shrink_axis_mask. An int32
+     *      mask. If the ith bit of shrink_axis_mask is set, it implies that the
+     *      ith specification shrinks the dimensionality by 1. A slice of size 1
+     *      starting from begin[i] in the dimension must be preserved.
      *
      * Outputs:
-     * 0: A tensor of the same type as input0.
+     * * 0: A tensor of the same {@link OperandCode} as input0.
      */
     ANEURALNETWORKS_STRIDED_SLICE = 35,