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import { FP } from '../../../../util/floating_point.js';
import { sparseMatrixF64Range, sparseVectorF64Range } from '../../../../util/math.js';
import { selectNCases } from '../case.js';
import { makeCaseCache } from '../case_cache.js';
// Cases: matCxR_vecC
const mat_vec_cases = ([2, 3, 4] as const)
.flatMap(cols =>
([2, 3, 4] as const).map(rows => ({
[`mat${cols}x${rows}_vec${cols}`]: () => {
return selectNCases(
'binary/af_matrix_vector_multiplication_mat_vec',
50,
FP.abstract.generateMatrixVectorToVectorCases(
sparseMatrixF64Range(cols, rows),
sparseVectorF64Range(cols),
'finite',
// Matrix-vector multiplication has an inherited accuracy, so abstract is only expected to be as accurate as f32
FP.f32.multiplicationMatrixVectorInterval
)
);
},
}))
)
.reduce((a, b) => ({ ...a, ...b }), {});
// Cases: vecR_matCxR
const vec_mat_cases = ([2, 3, 4] as const)
.flatMap(rows =>
([2, 3, 4] as const).map(cols => ({
[`vec${rows}_mat${cols}x${rows}`]: () => {
return selectNCases(
'binary/af_matrix_vector_multiplication_vec_mat',
50,
FP.abstract.generateVectorMatrixToVectorCases(
sparseVectorF64Range(rows),
sparseMatrixF64Range(cols, rows),
'finite',
// Vector-matrix multiplication has an inherited accuracy, so abstract is only expected to be as accurate as f32
FP.f32.multiplicationVectorMatrixInterval
)
);
},
}))
)
.reduce((a, b) => ({ ...a, ...b }), {});
export const d = makeCaseCache('binary/af_matrix_vector_multiplication', {
...mat_vec_cases,
...vec_mat_cases,
});
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