1. update clientset, deepcopy using code-generator
2. add a dummy file tools.go to force "go mod vendor" to see code-generator as dependencies 3. add a script to update CRD 4. add a README to document CRD updating steps run go mod tidy update README
This commit is contained in:
xiangqian
469
vendor/gonum.org/v1/gonum/blas/blas64/blas64.go
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vendored
Normal file
469
vendor/gonum.org/v1/gonum/blas/blas64/blas64.go
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vendored
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@@ -0,0 +1,469 @@
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// Copyright ©2015 The Gonum Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package blas64
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import (
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"gonum.org/v1/gonum/blas"
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"gonum.org/v1/gonum/blas/gonum"
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)
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var blas64 blas.Float64 = gonum.Implementation{}
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// Use sets the BLAS float64 implementation to be used by subsequent BLAS calls.
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// The default implementation is
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// gonum.org/v1/gonum/blas/gonum.Implementation.
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func Use(b blas.Float64) {
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blas64 = b
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}
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// Implementation returns the current BLAS float64 implementation.
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//
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// Implementation allows direct calls to the current the BLAS float64 implementation
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// giving finer control of parameters.
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func Implementation() blas.Float64 {
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return blas64
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}
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// Vector represents a vector with an associated element increment.
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type Vector struct {
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N int
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Data []float64
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Inc int
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}
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// General represents a matrix using the conventional storage scheme.
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type General struct {
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Rows, Cols int
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Data []float64
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Stride int
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}
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// Band represents a band matrix using the band storage scheme.
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type Band struct {
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Rows, Cols int
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KL, KU int
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Data []float64
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Stride int
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}
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// Triangular represents a triangular matrix using the conventional storage scheme.
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type Triangular struct {
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Uplo blas.Uplo
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Diag blas.Diag
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N int
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Data []float64
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Stride int
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}
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// TriangularBand represents a triangular matrix using the band storage scheme.
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type TriangularBand struct {
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Uplo blas.Uplo
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Diag blas.Diag
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N, K int
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Data []float64
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Stride int
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}
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// TriangularPacked represents a triangular matrix using the packed storage scheme.
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type TriangularPacked struct {
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Uplo blas.Uplo
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Diag blas.Diag
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N int
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Data []float64
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}
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// Symmetric represents a symmetric matrix using the conventional storage scheme.
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type Symmetric struct {
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Uplo blas.Uplo
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N int
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Data []float64
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Stride int
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}
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// SymmetricBand represents a symmetric matrix using the band storage scheme.
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type SymmetricBand struct {
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Uplo blas.Uplo
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N, K int
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Data []float64
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Stride int
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}
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// SymmetricPacked represents a symmetric matrix using the packed storage scheme.
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type SymmetricPacked struct {
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Uplo blas.Uplo
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N int
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Data []float64
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}
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// Level 1
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const (
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negInc = "blas64: negative vector increment"
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badLength = "blas64: vector length mismatch"
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)
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// Dot computes the dot product of the two vectors:
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// \sum_i x[i]*y[i].
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func Dot(x, y Vector) float64 {
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if x.N != y.N {
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panic(badLength)
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}
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return blas64.Ddot(x.N, x.Data, x.Inc, y.Data, y.Inc)
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}
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// Nrm2 computes the Euclidean norm of the vector x:
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// sqrt(\sum_i x[i]*x[i]).
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//
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// Nrm2 will panic if the vector increment is negative.
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func Nrm2(x Vector) float64 {
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if x.Inc < 0 {
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panic(negInc)
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}
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return blas64.Dnrm2(x.N, x.Data, x.Inc)
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}
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// Asum computes the sum of the absolute values of the elements of x:
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// \sum_i |x[i]|.
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//
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// Asum will panic if the vector increment is negative.
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func Asum(x Vector) float64 {
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if x.Inc < 0 {
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panic(negInc)
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}
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return blas64.Dasum(x.N, x.Data, x.Inc)
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}
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// Iamax returns the index of an element of x with the largest absolute value.
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// If there are multiple such indices the earliest is returned.
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// Iamax returns -1 if n == 0.
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//
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// Iamax will panic if the vector increment is negative.
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func Iamax(x Vector) int {
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if x.Inc < 0 {
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panic(negInc)
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}
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return blas64.Idamax(x.N, x.Data, x.Inc)
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}
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// Swap exchanges the elements of the two vectors:
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// x[i], y[i] = y[i], x[i] for all i.
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func Swap(x, y Vector) {
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if x.N != y.N {
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panic(badLength)
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}
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blas64.Dswap(x.N, x.Data, x.Inc, y.Data, y.Inc)
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}
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// Copy copies the elements of x into the elements of y:
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// y[i] = x[i] for all i.
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// Copy requires that the lengths of x and y match and will panic otherwise.
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func Copy(x, y Vector) {
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if x.N != y.N {
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panic(badLength)
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}
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blas64.Dcopy(x.N, x.Data, x.Inc, y.Data, y.Inc)
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}
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// Axpy adds x scaled by alpha to y:
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// y[i] += alpha*x[i] for all i.
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func Axpy(alpha float64, x, y Vector) {
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if x.N != y.N {
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panic(badLength)
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}
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blas64.Daxpy(x.N, alpha, x.Data, x.Inc, y.Data, y.Inc)
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}
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// Rotg computes the parameters of a Givens plane rotation so that
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// ⎡ c s⎤ ⎡a⎤ ⎡r⎤
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// ⎣-s c⎦ * ⎣b⎦ = ⎣0⎦
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// where a and b are the Cartesian coordinates of a given point.
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// c, s, and r are defined as
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// r = ±Sqrt(a^2 + b^2),
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// c = a/r, the cosine of the rotation angle,
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// s = a/r, the sine of the rotation angle,
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// and z is defined such that
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// if |a| > |b|, z = s,
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// otherwise if c != 0, z = 1/c,
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// otherwise z = 1.
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func Rotg(a, b float64) (c, s, r, z float64) {
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return blas64.Drotg(a, b)
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}
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// Rotmg computes the modified Givens rotation. See
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// http://www.netlib.org/lapack/explore-html/df/deb/drotmg_8f.html
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// for more details.
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func Rotmg(d1, d2, b1, b2 float64) (p blas.DrotmParams, rd1, rd2, rb1 float64) {
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return blas64.Drotmg(d1, d2, b1, b2)
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}
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// Rot applies a plane transformation to n points represented by the vectors x
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// and y:
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// x[i] = c*x[i] + s*y[i],
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// y[i] = -s*x[i] + c*y[i], for all i.
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func Rot(x, y Vector, c, s float64) {
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if x.N != y.N {
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panic(badLength)
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}
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blas64.Drot(x.N, x.Data, x.Inc, y.Data, y.Inc, c, s)
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}
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// Rotm applies the modified Givens rotation to n points represented by the
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// vectors x and y.
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func Rotm(x, y Vector, p blas.DrotmParams) {
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if x.N != y.N {
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panic(badLength)
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}
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blas64.Drotm(x.N, x.Data, x.Inc, y.Data, y.Inc, p)
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}
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// Scal scales the vector x by alpha:
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// x[i] *= alpha for all i.
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//
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// Scal will panic if the vector increment is negative.
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func Scal(alpha float64, x Vector) {
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if x.Inc < 0 {
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panic(negInc)
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}
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blas64.Dscal(x.N, alpha, x.Data, x.Inc)
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}
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// Level 2
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// Gemv computes
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// y = alpha * A * x + beta * y, if t == blas.NoTrans,
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// y = alpha * A^T * x + beta * y, if t == blas.Trans or blas.ConjTrans,
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// where A is an m×n dense matrix, x and y are vectors, and alpha and beta are scalars.
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func Gemv(t blas.Transpose, alpha float64, a General, x Vector, beta float64, y Vector) {
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blas64.Dgemv(t, a.Rows, a.Cols, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
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}
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// Gbmv computes
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// y = alpha * A * x + beta * y, if t == blas.NoTrans,
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// y = alpha * A^T * x + beta * y, if t == blas.Trans or blas.ConjTrans,
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// where A is an m×n band matrix, x and y are vectors, and alpha and beta are scalars.
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func Gbmv(t blas.Transpose, alpha float64, a Band, x Vector, beta float64, y Vector) {
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blas64.Dgbmv(t, a.Rows, a.Cols, a.KL, a.KU, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
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}
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// Trmv computes
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// x = A * x, if t == blas.NoTrans,
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// x = A^T * x, if t == blas.Trans or blas.ConjTrans,
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// where A is an n×n triangular matrix, and x is a vector.
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func Trmv(t blas.Transpose, a Triangular, x Vector) {
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blas64.Dtrmv(a.Uplo, t, a.Diag, a.N, a.Data, a.Stride, x.Data, x.Inc)
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}
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// Tbmv computes
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// x = A * x, if t == blas.NoTrans,
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// x = A^T * x, if t == blas.Trans or blas.ConjTrans,
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// where A is an n×n triangular band matrix, and x is a vector.
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func Tbmv(t blas.Transpose, a TriangularBand, x Vector) {
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blas64.Dtbmv(a.Uplo, t, a.Diag, a.N, a.K, a.Data, a.Stride, x.Data, x.Inc)
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}
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// Tpmv computes
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// x = A * x, if t == blas.NoTrans,
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// x = A^T * x, if t == blas.Trans or blas.ConjTrans,
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// where A is an n×n triangular matrix in packed format, and x is a vector.
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func Tpmv(t blas.Transpose, a TriangularPacked, x Vector) {
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blas64.Dtpmv(a.Uplo, t, a.Diag, a.N, a.Data, x.Data, x.Inc)
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}
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// Trsv solves
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// A * x = b, if t == blas.NoTrans,
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// A^T * x = b, if t == blas.Trans or blas.ConjTrans,
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// where A is an n×n triangular matrix, and x and b are vectors.
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//
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// At entry to the function, x contains the values of b, and the result is
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// stored in-place into x.
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//
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// No test for singularity or near-singularity is included in this
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// routine. Such tests must be performed before calling this routine.
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func Trsv(t blas.Transpose, a Triangular, x Vector) {
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blas64.Dtrsv(a.Uplo, t, a.Diag, a.N, a.Data, a.Stride, x.Data, x.Inc)
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}
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// Tbsv solves
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// A * x = b, if t == blas.NoTrans,
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// A^T * x = b, if t == blas.Trans or blas.ConjTrans,
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// where A is an n×n triangular band matrix, and x and b are vectors.
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//
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// At entry to the function, x contains the values of b, and the result is
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// stored in place into x.
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//
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// No test for singularity or near-singularity is included in this
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// routine. Such tests must be performed before calling this routine.
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func Tbsv(t blas.Transpose, a TriangularBand, x Vector) {
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blas64.Dtbsv(a.Uplo, t, a.Diag, a.N, a.K, a.Data, a.Stride, x.Data, x.Inc)
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}
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// Tpsv solves
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// A * x = b, if t == blas.NoTrans,
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// A^T * x = b, if t == blas.Trans or blas.ConjTrans,
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// where A is an n×n triangular matrix in packed format, and x and b are
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// vectors.
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//
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// At entry to the function, x contains the values of b, and the result is
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// stored in place into x.
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//
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// No test for singularity or near-singularity is included in this
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// routine. Such tests must be performed before calling this routine.
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func Tpsv(t blas.Transpose, a TriangularPacked, x Vector) {
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blas64.Dtpsv(a.Uplo, t, a.Diag, a.N, a.Data, x.Data, x.Inc)
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}
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// Symv computes
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// y = alpha * A * x + beta * y,
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// where A is an n×n symmetric matrix, x and y are vectors, and alpha and
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// beta are scalars.
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func Symv(alpha float64, a Symmetric, x Vector, beta float64, y Vector) {
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blas64.Dsymv(a.Uplo, a.N, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
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}
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// Sbmv performs
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// y = alpha * A * x + beta * y,
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// where A is an n×n symmetric band matrix, x and y are vectors, and alpha
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// and beta are scalars.
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func Sbmv(alpha float64, a SymmetricBand, x Vector, beta float64, y Vector) {
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blas64.Dsbmv(a.Uplo, a.N, a.K, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
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}
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// Spmv performs
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// y = alpha * A * x + beta * y,
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// where A is an n×n symmetric matrix in packed format, x and y are vectors,
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||||
// and alpha and beta are scalars.
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func Spmv(alpha float64, a SymmetricPacked, x Vector, beta float64, y Vector) {
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blas64.Dspmv(a.Uplo, a.N, alpha, a.Data, x.Data, x.Inc, beta, y.Data, y.Inc)
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||||
}
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||||
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||||
// Ger performs a rank-1 update
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||||
// A += alpha * x * y^T,
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||||
// where A is an m×n dense matrix, x and y are vectors, and alpha is a scalar.
|
||||
func Ger(alpha float64, x, y Vector, a General) {
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||||
blas64.Dger(a.Rows, a.Cols, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data, a.Stride)
|
||||
}
|
||||
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// Syr performs a rank-1 update
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||||
// A += alpha * x * x^T,
|
||||
// where A is an n×n symmetric matrix, x is a vector, and alpha is a scalar.
|
||||
func Syr(alpha float64, x Vector, a Symmetric) {
|
||||
blas64.Dsyr(a.Uplo, a.N, alpha, x.Data, x.Inc, a.Data, a.Stride)
|
||||
}
|
||||
|
||||
// Spr performs the rank-1 update
|
||||
// A += alpha * x * x^T,
|
||||
// where A is an n×n symmetric matrix in packed format, x is a vector, and
|
||||
// alpha is a scalar.
|
||||
func Spr(alpha float64, x Vector, a SymmetricPacked) {
|
||||
blas64.Dspr(a.Uplo, a.N, alpha, x.Data, x.Inc, a.Data)
|
||||
}
|
||||
|
||||
// Syr2 performs a rank-2 update
|
||||
// A += alpha * x * y^T + alpha * y * x^T,
|
||||
// where A is a symmetric n×n matrix, x and y are vectors, and alpha is a scalar.
|
||||
func Syr2(alpha float64, x, y Vector, a Symmetric) {
|
||||
blas64.Dsyr2(a.Uplo, a.N, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data, a.Stride)
|
||||
}
|
||||
|
||||
// Spr2 performs a rank-2 update
|
||||
// A += alpha * x * y^T + alpha * y * x^T,
|
||||
// where A is an n×n symmetric matrix in packed format, x and y are vectors,
|
||||
// and alpha is a scalar.
|
||||
func Spr2(alpha float64, x, y Vector, a SymmetricPacked) {
|
||||
blas64.Dspr2(a.Uplo, a.N, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data)
|
||||
}
|
||||
|
||||
// Level 3
|
||||
|
||||
// Gemm computes
|
||||
// C = alpha * A * B + beta * C,
|
||||
// where A, B, and C are dense matrices, and alpha and beta are scalars.
|
||||
// tA and tB specify whether A or B are transposed.
|
||||
func Gemm(tA, tB blas.Transpose, alpha float64, a, b General, beta float64, c General) {
|
||||
var m, n, k int
|
||||
if tA == blas.NoTrans {
|
||||
m, k = a.Rows, a.Cols
|
||||
} else {
|
||||
m, k = a.Cols, a.Rows
|
||||
}
|
||||
if tB == blas.NoTrans {
|
||||
n = b.Cols
|
||||
} else {
|
||||
n = b.Rows
|
||||
}
|
||||
blas64.Dgemm(tA, tB, m, n, k, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
|
||||
}
|
||||
|
||||
// Symm performs
|
||||
// C = alpha * A * B + beta * C, if s == blas.Left,
|
||||
// C = alpha * B * A + beta * C, if s == blas.Right,
|
||||
// where A is an n×n or m×m symmetric matrix, B and C are m×n matrices, and
|
||||
// alpha is a scalar.
|
||||
func Symm(s blas.Side, alpha float64, a Symmetric, b General, beta float64, c General) {
|
||||
var m, n int
|
||||
if s == blas.Left {
|
||||
m, n = a.N, b.Cols
|
||||
} else {
|
||||
m, n = b.Rows, a.N
|
||||
}
|
||||
blas64.Dsymm(s, a.Uplo, m, n, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
|
||||
}
|
||||
|
||||
// Syrk performs a symmetric rank-k update
|
||||
// C = alpha * A * A^T + beta * C, if t == blas.NoTrans,
|
||||
// C = alpha * A^T * A + beta * C, if t == blas.Trans or blas.ConjTrans,
|
||||
// where C is an n×n symmetric matrix, A is an n×k matrix if t == blas.NoTrans and
|
||||
// a k×n matrix otherwise, and alpha and beta are scalars.
|
||||
func Syrk(t blas.Transpose, alpha float64, a General, beta float64, c Symmetric) {
|
||||
var n, k int
|
||||
if t == blas.NoTrans {
|
||||
n, k = a.Rows, a.Cols
|
||||
} else {
|
||||
n, k = a.Cols, a.Rows
|
||||
}
|
||||
blas64.Dsyrk(c.Uplo, t, n, k, alpha, a.Data, a.Stride, beta, c.Data, c.Stride)
|
||||
}
|
||||
|
||||
// Syr2k performs a symmetric rank-2k update
|
||||
// C = alpha * A * B^T + alpha * B * A^T + beta * C, if t == blas.NoTrans,
|
||||
// C = alpha * A^T * B + alpha * B^T * A + beta * C, if t == blas.Trans or blas.ConjTrans,
|
||||
// where C is an n×n symmetric matrix, A and B are n×k matrices if t == NoTrans
|
||||
// and k×n matrices otherwise, and alpha and beta are scalars.
|
||||
func Syr2k(t blas.Transpose, alpha float64, a, b General, beta float64, c Symmetric) {
|
||||
var n, k int
|
||||
if t == blas.NoTrans {
|
||||
n, k = a.Rows, a.Cols
|
||||
} else {
|
||||
n, k = a.Cols, a.Rows
|
||||
}
|
||||
blas64.Dsyr2k(c.Uplo, t, n, k, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
|
||||
}
|
||||
|
||||
// Trmm performs
|
||||
// B = alpha * A * B, if tA == blas.NoTrans and s == blas.Left,
|
||||
// B = alpha * A^T * B, if tA == blas.Trans or blas.ConjTrans, and s == blas.Left,
|
||||
// B = alpha * B * A, if tA == blas.NoTrans and s == blas.Right,
|
||||
// B = alpha * B * A^T, if tA == blas.Trans or blas.ConjTrans, and s == blas.Right,
|
||||
// where A is an n×n or m×m triangular matrix, B is an m×n matrix, and alpha is
|
||||
// a scalar.
|
||||
func Trmm(s blas.Side, tA blas.Transpose, alpha float64, a Triangular, b General) {
|
||||
blas64.Dtrmm(s, a.Uplo, tA, a.Diag, b.Rows, b.Cols, alpha, a.Data, a.Stride, b.Data, b.Stride)
|
||||
}
|
||||
|
||||
// Trsm solves
|
||||
// A * X = alpha * B, if tA == blas.NoTrans and s == blas.Left,
|
||||
// A^T * X = alpha * B, if tA == blas.Trans or blas.ConjTrans, and s == blas.Left,
|
||||
// X * A = alpha * B, if tA == blas.NoTrans and s == blas.Right,
|
||||
// X * A^T = alpha * B, if tA == blas.Trans or blas.ConjTrans, and s == blas.Right,
|
||||
// where A is an n×n or m×m triangular matrix, X and B are m×n matrices, and
|
||||
// alpha is a scalar.
|
||||
//
|
||||
// At entry to the function, X contains the values of B, and the result is
|
||||
// stored in-place into X.
|
||||
//
|
||||
// No check is made that A is invertible.
|
||||
func Trsm(s blas.Side, tA blas.Transpose, alpha float64, a Triangular, b General) {
|
||||
blas64.Dtrsm(s, a.Uplo, tA, a.Diag, b.Rows, b.Cols, alpha, a.Data, a.Stride, b.Data, b.Stride)
|
||||
}
|
||||
277
vendor/gonum.org/v1/gonum/blas/blas64/conv.go
generated
vendored
Normal file
277
vendor/gonum.org/v1/gonum/blas/blas64/conv.go
generated
vendored
Normal file
@@ -0,0 +1,277 @@
|
||||
// Copyright ©2015 The Gonum Authors. All rights reserved.
|
||||
// Use of this source code is governed by a BSD-style
|
||||
// license that can be found in the LICENSE file.
|
||||
|
||||
package blas64
|
||||
|
||||
import "gonum.org/v1/gonum/blas"
|
||||
|
||||
// GeneralCols represents a matrix using the conventional column-major storage scheme.
|
||||
type GeneralCols General
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions as a and have adequate backing
|
||||
// data storage.
|
||||
func (t GeneralCols) From(a General) {
|
||||
if t.Rows != a.Rows || t.Cols != a.Cols {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if len(t.Data) < (t.Cols-1)*t.Stride+t.Rows {
|
||||
panic("blas64: short data slice")
|
||||
}
|
||||
for i := 0; i < a.Rows; i++ {
|
||||
for j, v := range a.Data[i*a.Stride : i*a.Stride+a.Cols] {
|
||||
t.Data[i+j*t.Stride] = v
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions as a and have adequate backing
|
||||
// data storage.
|
||||
func (t General) From(a GeneralCols) {
|
||||
if t.Rows != a.Rows || t.Cols != a.Cols {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if len(t.Data) < (t.Rows-1)*t.Stride+t.Cols {
|
||||
panic("blas64: short data slice")
|
||||
}
|
||||
for j := 0; j < a.Cols; j++ {
|
||||
for i, v := range a.Data[j*a.Stride : j*a.Stride+a.Rows] {
|
||||
t.Data[i*t.Stride+j] = v
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// TriangularCols represents a matrix using the conventional column-major storage scheme.
|
||||
type TriangularCols Triangular
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions, uplo and diag as a and have
|
||||
// adequate backing data storage.
|
||||
func (t TriangularCols) From(a Triangular) {
|
||||
if t.N != a.N {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.Uplo != a.Uplo {
|
||||
panic("blas64: mismatched BLAS uplo")
|
||||
}
|
||||
if t.Diag != a.Diag {
|
||||
panic("blas64: mismatched BLAS diag")
|
||||
}
|
||||
switch a.Uplo {
|
||||
default:
|
||||
panic("blas64: bad BLAS uplo")
|
||||
case blas.Upper:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := i; j < a.N; j++ {
|
||||
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
|
||||
}
|
||||
}
|
||||
case blas.Lower:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := 0; j <= i; j++ {
|
||||
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
|
||||
}
|
||||
}
|
||||
case blas.All:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := 0; j < a.N; j++ {
|
||||
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions, uplo and diag as a and have
|
||||
// adequate backing data storage.
|
||||
func (t Triangular) From(a TriangularCols) {
|
||||
if t.N != a.N {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.Uplo != a.Uplo {
|
||||
panic("blas64: mismatched BLAS uplo")
|
||||
}
|
||||
if t.Diag != a.Diag {
|
||||
panic("blas64: mismatched BLAS diag")
|
||||
}
|
||||
switch a.Uplo {
|
||||
default:
|
||||
panic("blas64: bad BLAS uplo")
|
||||
case blas.Upper:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := i; j < a.N; j++ {
|
||||
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
|
||||
}
|
||||
}
|
||||
case blas.Lower:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := 0; j <= i; j++ {
|
||||
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
|
||||
}
|
||||
}
|
||||
case blas.All:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := 0; j < a.N; j++ {
|
||||
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// BandCols represents a matrix using the band column-major storage scheme.
|
||||
type BandCols Band
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions and bandwidth as a and have
|
||||
// adequate backing data storage.
|
||||
func (t BandCols) From(a Band) {
|
||||
if t.Rows != a.Rows || t.Cols != a.Cols {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.KL != a.KL || t.KU != a.KU {
|
||||
panic("blas64: mismatched bandwidth")
|
||||
}
|
||||
if a.Stride < a.KL+a.KU+1 {
|
||||
panic("blas64: short stride for source")
|
||||
}
|
||||
if t.Stride < t.KL+t.KU+1 {
|
||||
panic("blas64: short stride for destination")
|
||||
}
|
||||
for i := 0; i < a.Rows; i++ {
|
||||
for j := max(0, i-a.KL); j < min(i+a.KU+1, a.Cols); j++ {
|
||||
t.Data[i+t.KU-j+j*t.Stride] = a.Data[j+a.KL-i+i*a.Stride]
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions and bandwidth as a and have
|
||||
// adequate backing data storage.
|
||||
func (t Band) From(a BandCols) {
|
||||
if t.Rows != a.Rows || t.Cols != a.Cols {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.KL != a.KL || t.KU != a.KU {
|
||||
panic("blas64: mismatched bandwidth")
|
||||
}
|
||||
if a.Stride < a.KL+a.KU+1 {
|
||||
panic("blas64: short stride for source")
|
||||
}
|
||||
if t.Stride < t.KL+t.KU+1 {
|
||||
panic("blas64: short stride for destination")
|
||||
}
|
||||
for j := 0; j < a.Cols; j++ {
|
||||
for i := max(0, j-a.KU); i < min(j+a.KL+1, a.Rows); i++ {
|
||||
t.Data[j+a.KL-i+i*a.Stride] = a.Data[i+t.KU-j+j*t.Stride]
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// TriangularBandCols represents a symmetric matrix using the band column-major storage scheme.
|
||||
type TriangularBandCols TriangularBand
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions, bandwidth and uplo as a and
|
||||
// have adequate backing data storage.
|
||||
func (t TriangularBandCols) From(a TriangularBand) {
|
||||
if t.N != a.N {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.K != a.K {
|
||||
panic("blas64: mismatched bandwidth")
|
||||
}
|
||||
if a.Stride < a.K+1 {
|
||||
panic("blas64: short stride for source")
|
||||
}
|
||||
if t.Stride < t.K+1 {
|
||||
panic("blas64: short stride for destination")
|
||||
}
|
||||
if t.Uplo != a.Uplo {
|
||||
panic("blas64: mismatched BLAS uplo")
|
||||
}
|
||||
if t.Diag != a.Diag {
|
||||
panic("blas64: mismatched BLAS diag")
|
||||
}
|
||||
dst := BandCols{
|
||||
Rows: t.N, Cols: t.N,
|
||||
Stride: t.Stride,
|
||||
Data: t.Data,
|
||||
}
|
||||
src := Band{
|
||||
Rows: a.N, Cols: a.N,
|
||||
Stride: a.Stride,
|
||||
Data: a.Data,
|
||||
}
|
||||
switch a.Uplo {
|
||||
default:
|
||||
panic("blas64: bad BLAS uplo")
|
||||
case blas.Upper:
|
||||
dst.KU = t.K
|
||||
src.KU = a.K
|
||||
case blas.Lower:
|
||||
dst.KL = t.K
|
||||
src.KL = a.K
|
||||
}
|
||||
dst.From(src)
|
||||
}
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions, bandwidth and uplo as a and
|
||||
// have adequate backing data storage.
|
||||
func (t TriangularBand) From(a TriangularBandCols) {
|
||||
if t.N != a.N {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.K != a.K {
|
||||
panic("blas64: mismatched bandwidth")
|
||||
}
|
||||
if a.Stride < a.K+1 {
|
||||
panic("blas64: short stride for source")
|
||||
}
|
||||
if t.Stride < t.K+1 {
|
||||
panic("blas64: short stride for destination")
|
||||
}
|
||||
if t.Uplo != a.Uplo {
|
||||
panic("blas64: mismatched BLAS uplo")
|
||||
}
|
||||
if t.Diag != a.Diag {
|
||||
panic("blas64: mismatched BLAS diag")
|
||||
}
|
||||
dst := Band{
|
||||
Rows: t.N, Cols: t.N,
|
||||
Stride: t.Stride,
|
||||
Data: t.Data,
|
||||
}
|
||||
src := BandCols{
|
||||
Rows: a.N, Cols: a.N,
|
||||
Stride: a.Stride,
|
||||
Data: a.Data,
|
||||
}
|
||||
switch a.Uplo {
|
||||
default:
|
||||
panic("blas64: bad BLAS uplo")
|
||||
case blas.Upper:
|
||||
dst.KU = t.K
|
||||
src.KU = a.K
|
||||
case blas.Lower:
|
||||
dst.KL = t.K
|
||||
src.KL = a.K
|
||||
}
|
||||
dst.From(src)
|
||||
}
|
||||
|
||||
func min(a, b int) int {
|
||||
if a < b {
|
||||
return a
|
||||
}
|
||||
return b
|
||||
}
|
||||
|
||||
func max(a, b int) int {
|
||||
if a > b {
|
||||
return a
|
||||
}
|
||||
return b
|
||||
}
|
||||
153
vendor/gonum.org/v1/gonum/blas/blas64/conv_symmetric.go
generated
vendored
Normal file
153
vendor/gonum.org/v1/gonum/blas/blas64/conv_symmetric.go
generated
vendored
Normal file
@@ -0,0 +1,153 @@
|
||||
// Copyright ©2015 The Gonum Authors. All rights reserved.
|
||||
// Use of this source code is governed by a BSD-style
|
||||
// license that can be found in the LICENSE file.
|
||||
|
||||
package blas64
|
||||
|
||||
import "gonum.org/v1/gonum/blas"
|
||||
|
||||
// SymmetricCols represents a matrix using the conventional column-major storage scheme.
|
||||
type SymmetricCols Symmetric
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions and uplo as a and have adequate
|
||||
// backing data storage.
|
||||
func (t SymmetricCols) From(a Symmetric) {
|
||||
if t.N != a.N {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.Uplo != a.Uplo {
|
||||
panic("blas64: mismatched BLAS uplo")
|
||||
}
|
||||
switch a.Uplo {
|
||||
default:
|
||||
panic("blas64: bad BLAS uplo")
|
||||
case blas.Upper:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := i; j < a.N; j++ {
|
||||
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
|
||||
}
|
||||
}
|
||||
case blas.Lower:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := 0; j <= i; j++ {
|
||||
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions and uplo as a and have adequate
|
||||
// backing data storage.
|
||||
func (t Symmetric) From(a SymmetricCols) {
|
||||
if t.N != a.N {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.Uplo != a.Uplo {
|
||||
panic("blas64: mismatched BLAS uplo")
|
||||
}
|
||||
switch a.Uplo {
|
||||
default:
|
||||
panic("blas64: bad BLAS uplo")
|
||||
case blas.Upper:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := i; j < a.N; j++ {
|
||||
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
|
||||
}
|
||||
}
|
||||
case blas.Lower:
|
||||
for i := 0; i < a.N; i++ {
|
||||
for j := 0; j <= i; j++ {
|
||||
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// SymmetricBandCols represents a symmetric matrix using the band column-major storage scheme.
|
||||
type SymmetricBandCols SymmetricBand
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions, bandwidth and uplo as a and
|
||||
// have adequate backing data storage.
|
||||
func (t SymmetricBandCols) From(a SymmetricBand) {
|
||||
if t.N != a.N {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.K != a.K {
|
||||
panic("blas64: mismatched bandwidth")
|
||||
}
|
||||
if a.Stride < a.K+1 {
|
||||
panic("blas64: short stride for source")
|
||||
}
|
||||
if t.Stride < t.K+1 {
|
||||
panic("blas64: short stride for destination")
|
||||
}
|
||||
if t.Uplo != a.Uplo {
|
||||
panic("blas64: mismatched BLAS uplo")
|
||||
}
|
||||
dst := BandCols{
|
||||
Rows: t.N, Cols: t.N,
|
||||
Stride: t.Stride,
|
||||
Data: t.Data,
|
||||
}
|
||||
src := Band{
|
||||
Rows: a.N, Cols: a.N,
|
||||
Stride: a.Stride,
|
||||
Data: a.Data,
|
||||
}
|
||||
switch a.Uplo {
|
||||
default:
|
||||
panic("blas64: bad BLAS uplo")
|
||||
case blas.Upper:
|
||||
dst.KU = t.K
|
||||
src.KU = a.K
|
||||
case blas.Lower:
|
||||
dst.KL = t.K
|
||||
src.KL = a.K
|
||||
}
|
||||
dst.From(src)
|
||||
}
|
||||
|
||||
// From fills the receiver with elements from a. The receiver
|
||||
// must have the same dimensions, bandwidth and uplo as a and
|
||||
// have adequate backing data storage.
|
||||
func (t SymmetricBand) From(a SymmetricBandCols) {
|
||||
if t.N != a.N {
|
||||
panic("blas64: mismatched dimension")
|
||||
}
|
||||
if t.K != a.K {
|
||||
panic("blas64: mismatched bandwidth")
|
||||
}
|
||||
if a.Stride < a.K+1 {
|
||||
panic("blas64: short stride for source")
|
||||
}
|
||||
if t.Stride < t.K+1 {
|
||||
panic("blas64: short stride for destination")
|
||||
}
|
||||
if t.Uplo != a.Uplo {
|
||||
panic("blas64: mismatched BLAS uplo")
|
||||
}
|
||||
dst := Band{
|
||||
Rows: t.N, Cols: t.N,
|
||||
Stride: t.Stride,
|
||||
Data: t.Data,
|
||||
}
|
||||
src := BandCols{
|
||||
Rows: a.N, Cols: a.N,
|
||||
Stride: a.Stride,
|
||||
Data: a.Data,
|
||||
}
|
||||
switch a.Uplo {
|
||||
default:
|
||||
panic("blas64: bad BLAS uplo")
|
||||
case blas.Upper:
|
||||
dst.KU = t.K
|
||||
src.KU = a.K
|
||||
case blas.Lower:
|
||||
dst.KL = t.K
|
||||
src.KL = a.K
|
||||
}
|
||||
dst.From(src)
|
||||
}
|
||||
6
vendor/gonum.org/v1/gonum/blas/blas64/doc.go
generated
vendored
Normal file
6
vendor/gonum.org/v1/gonum/blas/blas64/doc.go
generated
vendored
Normal file
@@ -0,0 +1,6 @@
|
||||
// Copyright ©2017 The Gonum Authors. All rights reserved.
|
||||
// Use of this source code is governed by a BSD-style
|
||||
// license that can be found in the LICENSE file.
|
||||
|
||||
// Package blas64 provides a simple interface to the float64 BLAS API.
|
||||
package blas64 // import "gonum.org/v1/gonum/blas/blas64"
|
||||
Reference in New Issue
Block a user