/// <summary>
/// Coshes the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <returns>Tensor.</returns>
public static NDArray Cosh(NDArray result, NDArray src)
{
return((NDArray)OpRegistry.Invoke("cosh", result, src));
}
/// <summary>
/// Means all.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <returns>Tensor.</returns>
public static NDArray MeanAll(NDArray result, NDArray src)
{
return((NDArray)OpRegistry.Invoke("meanall", result, src));
}
/// <summary>
/// Standards all.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <returns>Tensor.</returns>
public static NDArray StdAll(NDArray result, NDArray src)
{
return((NDArray)OpRegistry.Invoke("stdall", result, src));
}
/// <summary>
/// Argmaxes the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="dimension">The dimension.</param>
/// <returns>Tensor.</returns>
public static NDArray Argmax(NDArray result, NDArray src, int dimension)
{
return((NDArray)OpRegistry.Invoke("argmax", result, src, dimension));
}
/// <summary>
/// Norms the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="dimension">The dimension.</param>
/// <param name="value">The value.</param>
/// <returns>Tensor.</returns>
public static NDArray Norm(NDArray result, NDArray src, int dimension, float value)
{
return((NDArray)OpRegistry.Invoke("norm", result, src, dimension, value));
}
/// <summary>
/// Equals to.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray EqualTo(NDArray result, NDArray lhs, NDArray rhs)
{
return((NDArray)OpRegistry.Invoke("eqTensor", result, lhs, rhs));
}
/// <summary>
/// Sums the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="dimension">The dimension.</param>
/// <returns>Tensor.</returns>
public static NDArray Sum(NDArray result, NDArray src, int dimension)
{
return((NDArray)OpRegistry.Invoke("sum", result, src, dimension));
}
/// <summary>
/// Lerps the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="srcA">The source a.</param>
/// <param name="srcB">The source b.</param>
/// <param name="weight">The weight.</param>
/// <returns>Tensor.</returns>
public static NDArray Lerp(NDArray result, NDArray srcA, NDArray srcB, float weight)
{
return((NDArray)OpRegistry.Invoke("lerp", result, srcA, srcB));
}
/// <summary>
/// Clamps the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="min">The minimum.</param>
/// <param name="max">The maximum.</param>
/// <returns>Tensor.</returns>
public static NDArray Clamp(NDArray result, NDArray src, float min, float max)
{
return((NDArray)OpRegistry.Invoke("clamp", result, src, min, max));
}
/// <summary>
/// Pows the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="value">The value.</param>
/// <returns>Tensor.</returns>
public static NDArray Pow(NDArray result, NDArray src, float value)
{
return((NDArray)OpRegistry.Invoke("pow", result, src, value));
}
/// <summary>
/// Tpows the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="value">The value.</param>
/// <param name="src">The source.</param>
/// <returns>Tensor.</returns>
public static NDArray Tpow(NDArray result, float value, NDArray src)
{
return((NDArray)OpRegistry.Invoke("tpow", result, value, src));
}
/// <summary>
/// Atan2s the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="srcY">The source y.</param>
/// <param name="srcX">The source x.</param>
/// <returns>Tensor.</returns>
public static NDArray Atan2(NDArray result, NDArray srcY, NDArray srcX)
{
return((NDArray)OpRegistry.Invoke("atan2", result, srcY, srcX));
}
/// <summary>
/// Sigmoids the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <returns>Tensor.</returns>
public static NDArray Sigmoid(NDArray result, NDArray src)
{
return((NDArray)OpRegistry.Invoke("sigmoid", result, src));
}
/// <summary>
/// Tanhes the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <returns>Tensor.</returns>
public static NDArray Tanh(NDArray result, NDArray src)
{
return((NDArray)OpRegistry.Invoke("tanh", result, src));
}
/// <summary>
/// Lesses the than.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray LessThan(NDArray result, NDArray lhs, NDArray rhs)
{
return((NDArray)OpRegistry.Invoke("ltTensor", result, lhs, rhs));
}
/// <summary>
/// Muls the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray Mul(NDArray result, NDArray lhs, float rhs)
{
return((NDArray)OpRegistry.Invoke("mulv", result, lhs, rhs));
}
/// <summary>
/// Greaters the or equal.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray GreaterOrEqual(NDArray result, NDArray lhs, NDArray rhs)
{
return((NDArray)OpRegistry.Invoke("geTensor", result, lhs, rhs));
}
/// <summary>
/// Divs the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray Div(NDArray result, float lhs, NDArray rhs)
{
return((NDArray)OpRegistry.Invoke("rdivv", result, lhs, rhs));
}
/// <summary>
/// Nots the equal.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray NotEqual(NDArray result, NDArray lhs, NDArray rhs)
{
return((NDArray)OpRegistry.Invoke("neTensor", result, lhs, rhs));
}
/// <summary>
/// Lesses the than.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray LessThan(NDArray result, NDArray lhs, float rhs)
{
return((NDArray)OpRegistry.Invoke("ltValue", result, lhs, rhs));
}
/// <summary>
/// Products the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="dimension">The dimension.</param>
/// <returns>Tensor.</returns>
public static NDArray Prod(NDArray result, NDArray src, int dimension)
{
return((NDArray)OpRegistry.Invoke("prod", result, src, dimension));
}
/// <summary>
/// Nots the equal.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray NotEqual(NDArray result, NDArray lhs, float rhs)
{
return((NDArray)OpRegistry.Invoke("neValue", result, lhs, rhs));
}
/// <summary>
/// Means the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="dimension">The dimension.</param>
/// <returns>Tensor.</returns>
public static NDArray Mean(NDArray result, NDArray src, int dimension)
{
return((NDArray)OpRegistry.Invoke("mean", result, src, dimension));
}
/// <summary>
/// Subs the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray Sub(NDArray result, NDArray lhs, NDArray rhs)
{
return((NDArray)OpRegistry.Invoke("subt", result, lhs, rhs));
}
/// <summary>
/// Variables the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="dimension">The dimension.</param>
/// <param name="normByN">if set to <c>true</c> [norm by n].</param>
/// <returns>Tensor.</returns>
public static NDArray Var(NDArray result, NDArray src, int dimension, bool normByN)
{
return((NDArray)OpRegistry.Invoke("var", result, src, dimension, normByN));
}
/// <summary>
/// Divs the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray Div(NDArray result, NDArray lhs, NDArray rhs)
{
return((NDArray)OpRegistry.Invoke("divt", result, lhs, rhs));
}
/// <summary>
/// Norms all.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <param name="value">The value.</param>
/// <returns>Tensor.</returns>
public static NDArray NormAll(NDArray result, NDArray src, float value)
{
return((NDArray)OpRegistry.Invoke("normall", result, src, value));
}
/// <summary>
/// Mods the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="lhs">The LHS.</param>
/// <param name="rhs">The RHS.</param>
/// <returns>Tensor.</returns>
public static NDArray Mod(NDArray result, NDArray lhs, NDArray rhs)
{
return((NDArray)OpRegistry.Invoke("modt", result, lhs, rhs));
}
/// <summary>
/// Variables all.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <returns>Tensor.</returns>
public static NDArray VarAll(NDArray result, NDArray src)
{
return((NDArray)OpRegistry.Invoke("varall", result, src));
}
/// <summary>
/// Atans the specified result.
/// </summary>
/// <param name="result">The result.</param>
/// <param name="src">The source.</param>
/// <returns>Tensor.</returns>
public static NDArray Atan(NDArray result, NDArray src)
{
return((NDArray)OpRegistry.Invoke("atan", result, src));
}
