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Diffstat (limited to 'eval/src/tests/tensor/dense_add_dimension_optimizer/dense_add_dimension_optimizer_test.cpp')
-rw-r--r-- | eval/src/tests/tensor/dense_add_dimension_optimizer/dense_add_dimension_optimizer_test.cpp | 107 |
1 files changed, 107 insertions, 0 deletions
diff --git a/eval/src/tests/tensor/dense_add_dimension_optimizer/dense_add_dimension_optimizer_test.cpp b/eval/src/tests/tensor/dense_add_dimension_optimizer/dense_add_dimension_optimizer_test.cpp new file mode 100644 index 00000000000..ce321b7c3c3 --- /dev/null +++ b/eval/src/tests/tensor/dense_add_dimension_optimizer/dense_add_dimension_optimizer_test.cpp @@ -0,0 +1,107 @@ +// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root. + +#include <vespa/vespalib/testkit/test_kit.h> +#include <vespa/eval/eval/tensor_function.h> +#include <vespa/eval/eval/simple_tensor.h> +#include <vespa/eval/eval/simple_tensor_engine.h> +#include <vespa/eval/tensor/default_tensor_engine.h> +#include <vespa/eval/tensor/dense/dense_replace_type_function.h> +#include <vespa/eval/tensor/dense/dense_fast_rename_optimizer.h> +#include <vespa/eval/tensor/dense/dense_tensor.h> +#include <vespa/eval/eval/test/tensor_model.hpp> +#include <vespa/eval/eval/test/eval_fixture.h> + +#include <vespa/vespalib/util/stringfmt.h> +#include <vespa/vespalib/util/stash.h> + +using namespace vespalib; +using namespace vespalib::eval; +using namespace vespalib::eval::test; +using namespace vespalib::tensor; +using namespace vespalib::eval::tensor_function; + +const TensorEngine &prod_engine = DefaultTensorEngine::ref(); + +EvalFixture::ParamRepo make_params() { + return EvalFixture::ParamRepo() + .add("x5", spec({x(5)}, N())) + .add("x5y1", spec({x(5),y(1)}, N())) + .add("y1z1", spec({y(1),z(1)}, N())) + .add("x5_u", spec({x(5)}, N()), "tensor(x[])") + .add("x_m", spec({x({"a"})}, N())); +} +EvalFixture::ParamRepo param_repo = make_params(); + +void verify_optimized(const vespalib::string &expr) { + EvalFixture fixture(prod_engine, expr, param_repo, true); + EXPECT_EQUAL(fixture.result(), EvalFixture::ref(expr, param_repo)); + auto info = fixture.find_all<DenseReplaceTypeFunction>(); + EXPECT_EQUAL(info.size(), 1u); +} + +void verify_not_optimized(const vespalib::string &expr) { + EvalFixture fixture(prod_engine, expr, param_repo, true); + EXPECT_EQUAL(fixture.result(), EvalFixture::ref(expr, param_repo)); + auto info = fixture.find_all<DenseReplaceTypeFunction>(); + EXPECT_TRUE(info.empty()); +} + +TEST("require that dimension addition can be optimized") { + TEST_DO(verify_optimized("join(x5,tensor(y[1])(1),f(a,b)(a*b))")); + TEST_DO(verify_optimized("join(tensor(y[1])(1),x5,f(a,b)(a*b))")); + TEST_DO(verify_optimized("x5*tensor(y[1])(1)")); + TEST_DO(verify_optimized("tensor(y[1])(1)*x5")); + TEST_DO(verify_optimized("x5y1*tensor(z[1])(1)")); + TEST_DO(verify_optimized("tensor(z[1])(1)*x5y1")); +} + +TEST("require that multi-dimension addition can be optimized") { + TEST_DO(verify_optimized("x5*tensor(a[1],b[1],c[1])(1)")); +} + +TEST("require that dimension addition can be chained (and compacted)") { + TEST_DO(verify_optimized("tensor(z[1])(1)*x5*tensor(y[1])(1)")); +} + +TEST("require that constant dimension addition is optimized") { + TEST_DO(verify_optimized("tensor(x[1])(1)*tensor(y[1])(1)")); + TEST_DO(verify_optimized("tensor(x[1])(1.1)*tensor(y[1])(1)")); + TEST_DO(verify_optimized("tensor(x[1])(1)*tensor(y[1])(1.1)")); + TEST_DO(verify_optimized("tensor(x[2])(1)*tensor(y[1])(1)")); + TEST_DO(verify_optimized("tensor(x[1])(1)*tensor(y[2])(1)")); +} + +TEST("require that non-canonical dimension addition is not optimized") { + TEST_DO(verify_not_optimized("x5+tensor(y[1])(0)")); + TEST_DO(verify_not_optimized("tensor(y[1])(0)+x5")); + TEST_DO(verify_not_optimized("x5-tensor(y[1])(0)")); + TEST_DO(verify_not_optimized("x5/tensor(y[1])(1)")); + TEST_DO(verify_not_optimized("tensor(y[1])(1)/x5")); +} + +TEST("require that dimension addition with overlapping dimensions is not optimized") { + TEST_DO(verify_not_optimized("x5*tensor(x[1],y[1])(1)")); + TEST_DO(verify_not_optimized("tensor(x[1],y[1])(1)*x5")); + TEST_DO(verify_not_optimized("x5y1*tensor(y[1],z[1])(1)")); + TEST_DO(verify_not_optimized("tensor(y[1],z[1])(1)*x5y1")); +} + +TEST("require that dimension addition with inappropriate dimensions is not optimized") { + TEST_DO(verify_not_optimized("x5_u*tensor(y[1])(1)")); + TEST_DO(verify_not_optimized("tensor(y[1])(1)*x5_u")); + TEST_DO(verify_not_optimized("x_m*tensor(y[1])(1)")); + TEST_DO(verify_not_optimized("tensor(y[1])(1)*x_m")); +} + +TEST("require that dimension addition optimization requires unit constant tensor") { + TEST_DO(verify_not_optimized("x5*tensor(y[1])(0.9)")); + TEST_DO(verify_not_optimized("tensor(y[1])(1.1)*x5")); + TEST_DO(verify_not_optimized("x5*tensor(y[1],z[2])(1)")); + TEST_DO(verify_not_optimized("tensor(y[1],z[2])(1)*x5")); + TEST_DO(verify_not_optimized("x5*y1z1")); + TEST_DO(verify_not_optimized("y1z1*x5")); + TEST_DO(verify_not_optimized("tensor(x[1])(1.1)*tensor(y[1])(1.1)")); + TEST_DO(verify_not_optimized("tensor(x[2])(1)*tensor(y[2])(1)")); +} + +TEST_MAIN() { TEST_RUN_ALL(); } |