Backends/SiaNet.Backend.MxNet/NDArrayOps.cs
/// <summary>
/// Converts each element of the input array from degrees to radians... math::   radians([0, 90, 180, 270, 360]) = [0, \pi/2, \pi, 3\pi/2, 2\pi]The storage type of ``radians`` output depends upon the input storage type:   - radians(default) = default   - radians(row_sparse) = row_sparseDefined in G:\deeplearn\mxnet\src\operator\tensor\elemwise_unary_op.cc:L771
/// </summary>
/// <param name="@out">output NDArray</param>
/// <param name="data">The input array.</param>
/// <returns>returns new symbol</returns>
Converts each element of the input array from degrees to radians...
Converts each element of the input array from degrees to radians ...
public static NDArray Radians(NDArray @out,
        NDArray data)
        {
            return new Operator("radians")
            .SetInput("data", data)
            .Invoke(@out);
        }
public static NDArray Radians ( NDArray @out , NDArray data ) { return new Operator ( " " ) . SetInput ( " " , data ) . Invoke ( @out ) ; }
Converts each element of the input array from degrees to radians... math::   radians([0, 90, 180, 270, 360]) = [0, \pi/2, \pi, 3\pi/2, 2\pi]The storage type of ``radians`` output depends upon the input storage type:   - radians(default) = default   - radians(row_sparse) = row_sparseDefined in G:\deeplearn\mxnet\src\operator\tensor\elemwise_unary_op.cc:L771
Converts each element of the input array from degrees to radians ... math :: radians ( [ 0 90 180 270 360 ] ) = [ 0 \ pi / 2 \ pi 3 \ pi / 2 2 \ pi ] The storage type of ` ` radians ` ` output depends upon the input storage type : - radians ( default ) = default - radians ( row_sparse ) = row_sparseDefined in G : \ deeplearn \ mxnet \ src \ operator \ tensor \ elemwise_unary_op . cc : L771
returns new symbol
returns new symbol
@out
NDArray
None
data
NDArray
The input array.
The input array .