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# Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
schema tensor {
document tensor {
field f1 type tensor(x[3]) {
indexing: summary
}
field f2 type tensor<float>(x[2],y[1]) {
indexing: attribute
}
field f3 type tensor<double>(x{}) {
indexing: attribute | summary
}
field f4 type tensor(x[10],y[10]) {
indexing: attribute | summary
}
field f5 type tensor<float>(x[10]) {
indexing: attribute | summary
}
field f6 type float {
indexing: attribute
}
field f7 type tensor<int8>(p{},x[5]) {
indexing: attribute
}
}
rank-profile profile1 {
first-phase {
expression: sum(map(attribute(f4),f(x)(x*x)) + reduce(random(x[2],y[3]), count) * rename(attribute(f4), (x, y), (y, x)))
}
}
rank-profile profile2 {
first-phase {
expression: sum(matmul(attribute(f4), diag(x[10],y[10],z[3]), x))
}
}
rank-profile profile3 {
first-phase {
expression: sum(joinedtensors())
}
function joinedtensors() {
expression: tensor(i[10])(i) * attribute(f4)
}
}
rank-profile profile4 {
first-phase {
expression: sum(attribute(f5))
}
}
rank-profile profile5 {
first-phase {
expression: sum(tensor<float>(d0[1],x[2]):[[attribute(f6), sum(attribute(f5))]])
}
}
rank-profile profile6 {
first-phase {
expression: sum(tensor<float>(d0[1],x[2]):[[attribute(f6), sum(joinedtensors())]])
}
function joinedtensors() {
expression: tensor(i[10])(i) * attribute(f4)
}
}
rank-profile profile7 {
first-phase {
expression: sum(reshaped() * literal())
}
function reshaped() {
expression: tensor<float>(d0[1],x[2])(attribute(f2){x:1-x, y:d0})
}
function literal() {
expression: tensor<float>(key{}):{ 'foo':0.5, bar:1.2, "han's":3.1}
}
}
rank-profile profile8 {
first-phase {
expression: sum(tensor(d0[1])(attribute(f3){x:functionNotLabel()}))
}
function functionNotLabel() {
expression: 3
}
}
rank-profile profile9 {
# shadow refers to the generate index and shadow() to the function
first-phase {
expression: sum(tensor(shadow[1])(attribute(f3){x: shadow + shadow() }))
}
function shadow() {
expression: 3
}
}
rank-profile with-unpack {
inputs {
query(para) tensor<float>(p{})
query(qvec) tensor<float>(x[40])
}
function myunpack() {
expression: unpack_bits(attribute(f7))
}
first-phase {
expression: sum(query(para)*myunpack*query(qvec))
}
}
}
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