Backends/SiaNet.Backend.MxNet/NDArrayOps.cs
/// <summary>
/// Converts each element of the input array from radians to degrees... math::   degrees([0, \pi/2, \pi, 3\pi/2, 2\pi]) = [0, 90, 180, 270, 360]The storage type of ``degrees`` output depends upon the input storage type:   - degrees(default) = default   - degrees(row_sparse) = row_sparseDefined in G:\deeplearn\mxnet\src\operator\tensor\elemwise_unary_op.cc:L752
/// </summary>
/// <param name="data">The input array.</param>
/// <returns>returns new symbol</returns>
Converts each element of the input array from radians to degrees...
Converts each element of the input array from radians to degrees ...
public static NDArray Degrees(NDArray data)
        {
            return new Operator("degrees")
            .SetInput("data", data)
            .Invoke();
        }
public static NDArray Degrees ( NDArray data ) { return new Operator ( " " ) . SetInput ( " " , data ) . Invoke ( ) ; }
Converts each element of the input array from radians to degrees... math::   degrees([0, \pi/2, \pi, 3\pi/2, 2\pi]) = [0, 90, 180, 270, 360]The storage type of ``degrees`` output depends upon the input storage type:   - degrees(default) = default   - degrees(row_sparse) = row_sparseDefined in G:\deeplearn\mxnet\src\operator\tensor\elemwise_unary_op.cc:L752
Converts each element of the input array from radians to degrees ... math :: degrees ( [ 0 \ pi / 2 \ pi 3 \ pi / 2 2 \ pi ] ) = [ 0 90 180 270 360 ] The storage type of ` ` degrees ` ` output depends upon the input storage type : - degrees ( default ) = default - degrees ( row_sparse ) = row_sparseDefined in G : \ deeplearn \ mxnet \ src \ operator \ tensor \ elemwise_unary_op . cc : L752
returns new symbol
returns new symbol
data
NDArray
The input array.
The input array .