public static Array <Real> Add(this Array <Real> a, Real b, Real alpha = 1, Array <Real> result = null)
{
if (result == null)
{
result = new Array <Real>(a.Shape);
}
Array_.ElementwiseOp(a, result,
(n, x, offsetx, incx, z, offsetz, incz) =>
{
if (z == x)
{
Blas.axpy(n, alpha, ref b, x, offsetx, incx);
}
else
{
for (int i = 0; i < n; i++)
{
z[offsetz] = x[offsetx] + alpha * b;
offsetx += incx;
offsetz += incz;
}
}
});
return(result);
}
// result = a + alpha * b
public static Array <Real> Add(this Array <Real> a, Array <Real> b, Real alpha = 1, Array <Real> result = null)
{
return(Array_.ElementwiseOp(a, b, result,
(n, x, offsetx, incx, y, offsety, incy, z, offsetz, incz) =>
{
if (alpha == 1 && incx == 1 && incy == 1 && incz == 1)
{
Blas.vadd(n, x, offsetx, y, offsety, z, offsetz);
}
else if (alpha == -1 && incx == 1 && incy == 1 && incz == 1)
{
Blas.vsub(n, x, offsetx, y, offsety, z, offsetz);
}
else if (z == x)
{
Blas.axpy(n, alpha, y, offsety, incy, x, offsetx, incx);
}
else if (z == y && alpha == 1)
{
Blas.axpy(n, alpha, x, offsetx, incx, y, offsety, incy);
}
// TODO: else if (incx == 0) => broadcast x ??
// TODO: else if (incy == 0) => broadcast y ??
else
{
for (int i = 0; i < n; i++) // TODO: Blas.copy y => x, Blas.axpy(1, x, y)
{
z[offsetz] = x[offsetx] + alpha * y[offsety];
offsetx += incx;
offsety += incy;
offsetz += incz;
}
} // See also: mkl_?omatadd => C := alpha*op(A) + beta*op(B)
}));
}
public static Array <Real> TensorDotRight(this Array <Real> mat, Array <Real> vec, Array <Real> result = null, Real beta = 1)
{
if (vec.Shape.Length != 1)
{
throw new ArgumentException();
}
if (mat.Shape.Length != 2)
{
throw new ArgumentException();
}
var shape = new[] { mat.Shape[0], mat.Shape[1], vec.Shape[0] };
if (result == null)
{
result = new Array <Real>(shape);
}
else if (result.Shape.Length != shape.Length)
{
throw new ArgumentException(); // TODO: check axes
}
var offsetRes = result.Offset;
for (int i = 0; i < vec.Shape[0]; ++i)
{
// result[_, _, i] = vec[i] * mat + beta * result[_, _, i]
if (beta != 1)
{
Blas.scal(mat.Size, beta, mat.Values, offsetRes, mat.Stride[1]);
}
Blas.axpy(mat.Size, vec.Item[i], mat.Values, mat.Offset, mat.Stride[1], result.Values, offsetRes, result.Stride[1]);
offsetRes += result.Stride[2];
}
return(result);
}
/// <summary>a += α * b </summary>
public static void Acc(this Array <Real> a, Array <Real> b, Real alpha = 1)
{
if (alpha == 0)
{
return;
}
b.AssertOfShape(a.Shape);
Array_.ElementwiseOp(b, a, (n, x, offsetx, incx, y, offsety, incy) =>
{
// TODO: broadcasting ?
Blas.axpy(n, alpha, x, offsetx, incx, y, offsety, incy);
});
}
/// <summary>
/// Matrix multiplication.
/// Returns: alpha * dot(a, b) + beta * result
/// Ie with default value: dot(a, b)
/// </summary>
/// <remarks>
/// For 2-D arrays it is equivalent to matrix multiplication,
/// and for 1-D arrays to inner product of vectors (without complex conjugation).
/// For N dimensions it is a sum product over the last axis of a and the second-to-last of b:
/// dot(a, b)[i,j,k,m] = sum(a[i,j,:] * b[k,:,m])
/// `TensorDot` provides more control for N-dim array multiplication.
/// </remarks>
public static Array <Real> Dot(this Array <Real> a, Array <Real> b, Array <Real> result = null, Real alpha = 1, Real beta = 0, bool transA = false, bool transB = false)
{
if (transA)
{
if (a.Shape.Length == 1)
{
if (b.Shape.Length == 1)
{
if (transB)
{
return(a.Dot(b, result, alpha, beta));
}
else
{
return(a.VectorDot(b));
}
}
if (b.Shape.Length != 2)
{
throw new NotImplementedException();
}
return(b.Dot(a, result, alpha, beta, transA: !transB, transB: false));
}
else
{
a = a.T; // TODO: optimize => avoid creating new shape, stride, ...
//if (b.Shape.Length == 1 && !transB) b = b.Reshape(1, b.Shape[0]);
}
transA = false;
}
if (transB)
{
if (b.Shape.Length == 1)
{
if (a.Shape.Length == 1)
{
if (transA)
{
throw new NotImplementedException();
}
return(a.Outer(b, result: result, alpha: alpha, beta: 0));
}
throw new NotImplementedException();
//if (a.Shape.Length != 2) throw new NotImplementedException();
//if (a.IsTransposed())
//{
// a = a.T;
// transA = !transA;
//}
//result = new Array<Real>(transA ? a.Shape[1] : a.Shape[0], b.Shape[0]); // TODO: result != null
//Blas.gemm(Order.RowMajor, transA ? Transpose.Trans : Transpose.NoTrans, Transpose.NoTrans,
// result.Shape[0], result.Shape[1], 1,
// alpha,
// a.Values, a.Offset, a.Stride[0],
// b.Values, b.Offset, b.Stride[0],
// beta,
// result.Values, result.Offset, result.Stride[0]);
//return result;
}
else
{
b = b.T; // TODO: optimize => avoid creating new shape, stride, ...
}
transB = false;
}
// TODO: check alpha & beta
if (a.Shape.Length == 0)
{
return(b.Scale(a.Values[a.Offset]));
}
if (b.Shape.Length == 0)
{
return(a.Scale(b.Values[b.Offset]));
}
if (a.Shape.Length == 1) // vector x tensor
{
if (b.Shape.Length == 1) // vector x vector
{
if (a.Shape[0] != b.Shape[0])
{
throw AssertArray.BadRank("objects are not aligned: [{0}] dot [{1}]", a.Shape[0], b.Shape[0]);
}
if (result == null)
{
result = new Array <Real>();
}
else
{
if (result.Shape.Length != 0)
{
throw AssertArray.BadRank("objects are not aligned");
}
}
result.Values[result.Offset] = beta * result.Values[result.Offset] + alpha * Blas.dot(a.Shape[0], a.Values, a.Offset, a.Stride[0], b.Values, b.Offset, b.Stride[0]);
return(result);
}
else if (b.Shape.Length == 2) // vector x matrix
{
if (a.Shape[0] != b.Shape[0])
{
throw new RankException("objects are not aligned");
}
if (result == null)
{
result = new Array <Real>(b.Shape[1]);
}
else
{
if (result.Shape.Length != 1)
{
throw new RankException("objects are not aligned");
}
if (result.Shape[0] != b.Shape[1])
{
throw new RankException("objects are not aligned");
}
}
// dgemv computes matrix x vector => result = M.T.dot(v.T).T
transB = !transB;
if (b.IsTransposed())
{
transB = !transB;
b = b.T;
}
// y:= alpha * A' * x + beta * y
Blas.gemv(Order.RowMajor, transB ? Transpose.Trans : Transpose.NoTrans, b.Shape[0], b.Shape[1], alpha,
b.Values, b.Offset, b.Stride[0],
a.Values, a.Offset, a.Stride[0],
beta,
result.Values, result.Offset, result.Stride[0]);
return(result);
}
else if (b.Shape.Length == 3) // vector x tensor3
{
// TODO: beta ?
if (a.Shape[0] != b.Shape[1])
{
throw new RankException("objects are not aligned");
}
if (result == null)
{
result = new Array <Real>(b.Shape[0], b.Shape[2]);
}
else
{
if (result.Shape[0] != b.Shape[0])
{
throw new RankException("objects are not aligned");
}
if (result.Shape[1] != b.Shape[2])
{
throw new RankException("objects are not aligned");
}
}
var offsetk = b.Offset;
var k_0 = result.Offset;
for (var k = 0; k < result.Shape[0]; k++) // result.Shape[0] == b.Shape[0]
{
var offsetm = offsetk;
var k_m = k_0;
for (var m = 0; m < result.Shape[1]; m++) // result.Shape[1] == b.Shape[2]
{
result.Values[k_m] = alpha * Blas.dot(a.Shape[0], a.Values, a.Offset, a.Stride[0], b.Values, offsetm, b.Stride[1]); // a.Shape[axis] == b.Shape[1];
offsetm += b.Stride[2];
k_m += result.Stride[1];
}
offsetk += b.Stride[0];
k_0 += result.Stride[0];
}
return(result);
}
throw new NotImplementedException();
}
else if (b.Shape.Length == 1) // tensor x vector
{
if (a.Shape.Length == 2) // matrix x vector
{
if (a.Shape[1] != b.Shape[0])
{
throw new RankException("objects are not aligned");
}
if (result == null)
{
result = new Array <Real>(a.Shape[0]);
}
else
{
if (result.Shape.Length != b.Shape.Length)
{
throw new RankException("objects are not aligned");
}
if (result.Shape[0] != a.Shape[0])
{
throw new RankException("objects are not aligned");
}
// TODO: check strides
}
if ((a.Flags & Flags.Transposed) != 0)
{
transA = !transA;
a = a.T;
}
// y:= A*x + beta*y
if (a.Stride[1] == 1)
{
Blas.gemv(Order.RowMajor, transA ? Transpose.Trans : Transpose.NoTrans, a.Shape[0], a.Shape[1], alpha,
a.Values, a.Offset, a.Stride[0],
b.Values, b.Offset, b.Stride[0],
beta,
result.Values, result.Offset, result.Stride[0]);
}
else
{
// y *= beta
if (beta != 1)
{
result.Scale(beta, result: result);
}
int offB = b.Offset;
int offA = a.Offset;
for (int j = 0; j < b.Shape[0]; ++j)
{
Blas.axpy(a.Shape[0], alpha * b.Values[offB],
a.Values, offA, a.Stride[0],
result.Values, result.Offset, result.Stride[0]);
offB += b.Stride[0];
offA += a.Stride[1];
}
}
return(result);
}
else if (a.Shape.Length == 3) // tensor x vector = mat
{
if (a.Shape[2] != b.Shape[0])
{
throw new RankException("objects are not aligned");
}
if (result == null)
{
result = new Array <Real>(a.Shape[0], a.Shape[1]);
}
else if (result.Shape[0] != a.Shape[0] || result.Shape[1] != a.Shape[1])
{
throw new RankException("objects are not aligned");
}
var offsetk = a.Offset;
var offsetRes = result.Offset;
for (var k = 0; k < result.Shape[0]; k++)
{
var offsetj = offsetk;
for (var j = 0; j < result.Shape[1]; j++)
{
result.Values[offsetRes] = alpha * Blas.dot(a.Shape[2], a.Values, offsetj, a.Stride[2], b.Values, b.Offset, b.Stride[0]);
offsetj += a.Stride[1];
offsetRes += result.Stride[1];
}
offsetk += a.Stride[0];
}
return(result);
}
throw new NotImplementedException();
}
else if (a.Shape.Length == 2 && b.Shape.Length == 2) // matrix x matrix
{
if (a.Shape[1] != b.Shape[0])
{
throw AssertArray.BadRank("objects are not aligned: [{0}, {1}] dot [{2}, {3}]", a.Shape[0], a.Shape[1], b.Shape[0], b.Shape[1]);
}
if (result == null)
{
result = new Array <Real>(a.Shape[0], b.Shape[1]);
}
else
{
if (result.Shape[0] != a.Shape[0] || result.Shape[1] != b.Shape[1])
{
throw AssertArray.BadRank("result target have incorrect shape: [{0}, {1}] instead of [{2}, {3}].", result.Shape[0], result.Shape[1], a.Shape[0], b.Shape[1]);
}
// TODO: check strides
}
var m = a.Shape[0];
var n = b.Shape[1];
var k = a.Shape[1];
if ((a.Flags & Flags.Transposed) != 0)
{
transA = !transA;
a = a.T;
}
if ((b.Flags & Flags.Transposed) != 0)
{
transB = !transB;
b = b.T;
}
// C:= alpha * op(A) * op(B) + beta * C
Blas.gemm(Order.RowMajor, transA ? Transpose.Trans : Transpose.NoTrans, transB ? Transpose.Trans : Transpose.NoTrans,
m, n, k,
alpha,
a.Values, a.Offset, a.Stride[0],
b.Values, b.Offset, b.Stride[0],
beta,
result.Values, result.Offset, result.Stride[0]);
return(result);
}
// tensor x tensor
throw new NotImplementedException();
}
private static void _EinsteinSum(int n, Einstein[] einstein,
Array <float> x, int offX,
Array <float> y, int offY,
Array <float> z, int offZ
)
{
if (n == einstein.Length)
{
z.Values[offZ] += x.Values[offX] * y.Values[offY];
return;
}
var e = einstein[n];
if (n == einstein.Length - 1)
{
switch (e.mode)
{
case EinsteinMode.ELEMENTWISE:
int axisX = (int)e.axisX, axisY = (int)e.axisY, axisZ = (int)e.axisZ;
if (x.Stride[axisX] == 1 && y.Stride[axisY] == 1 && z.Stride[axisZ] == 1)
{
Blas.vmul(x.Shape[axisX], x.Values, offX, y.Values, offY, z.Values, offZ);
return;
}
break;
case EinsteinMode.OUTERX:
var axis = (int)e.axisX;
Blas.axpy(x.Shape[axis], y.Values[offY], x.Values, offX, x.Stride[axis], z.Values, offZ, z.Stride[(int)e.axisZ]);
return;
case EinsteinMode.OUTERY:
axis = (int)e.axisY;
Blas.axpy(y.Shape[axis], x.Values[offX], y.Values, offY, y.Stride[axis], z.Values, offZ, z.Stride[(int)e.axisZ]);
return;
}
}
switch (e.mode)
{
case EinsteinMode.INNER:
for (int i = 0; i < x.Shape[(int)e.axisX]; ++i)
{
_EinsteinSum(n + 1, einstein, x, offX, y, offY, z, offZ);
offX += x.Stride[(int)e.axisX];
offY += y.Stride[(int)e.axisY];
}
return;
case EinsteinMode.ELEMENTWISE:
for (int i = 0; i < x.Shape[(int)e.axisX]; ++i)
{
_EinsteinSum(n + 1, einstein, x, offX, y, offY, z, offZ);
offX += x.Stride[(int)e.axisX];
offY += y.Stride[(int)e.axisY];
offZ += z.Stride[(int)e.axisZ];
}
return;
case EinsteinMode.OUTERX:
var axis = (int)e.axisX;
for (int i = 0; i < x.Shape[axis]; ++i)
{
_EinsteinSum(n + 1, einstein, x, offX, y, offY, z, offZ);
offX += x.Stride[axis];
offZ += z.Stride[(int)e.axisZ];
}
return;
case EinsteinMode.OUTERY:
axis = (int)e.axisY;
for (int i = 0; i < y.Shape[axis]; ++i)
{
_EinsteinSum(n + 1, einstein, x, offX, y, offY, z, offZ);
offY += y.Stride[axis];
offZ += z.Stride[(int)e.axisZ];
}
return;
case EinsteinMode.SUMX:
axis = (int)e.axisX;
for (int i = 0; i < x.Shape[axis]; ++i)
{
_EinsteinSum(n + 1, einstein, x, offX, y, offY, z, offZ);
offX += x.Stride[axis];
}
return;
case EinsteinMode.SUMY:
axis = (int)e.axisY;
for (int i = 0; i < y.Shape[axis]; ++i)
{
_EinsteinSum(n + 1, einstein, x, offX, y, offY, z, offZ);
offY += y.Stride[axis];
}
return;
}
}
