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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/log/log.h>
LOG_SETUP("dense_dot_product_function_test");
#include <vespa/vespalib/testkit/test_kit.h>
#include <vespa/eval/eval/tensor_function.h>
#include <vespa/eval/tensor/dense/dense_dot_product_function.h>
#include <vespa/eval/tensor/dense/dense_tensor.h>
#include <vespa/eval/tensor/dense/dense_tensor_builder.h>
#include <vespa/eval/tensor/dense/dense_tensor_view.h>
#include <vespa/vespalib/util/stringfmt.h>
#include <vespa/vespalib/util/stash.h>
using namespace vespalib;
using namespace vespalib::eval;
using namespace vespalib::tensor;
ValueType
makeType(size_t numCells)
{
return ValueType::tensor_type({{"x", numCells}});
}
tensor::Tensor::UP
makeTensor(size_t numCells, double cellBias)
{
DenseTensorBuilder builder;
DenseTensorBuilder::Dimension dim = builder.defineDimension("x", numCells);
for (size_t i = 0; i < numCells; ++i) {
builder.addLabel(dim, i).addCell(i + cellBias);
}
return builder.build();
}
double
calcDotProduct(const DenseTensor &lhs, const DenseTensor &rhs)
{
size_t numCells = std::min(lhs.cells().size(), rhs.cells().size());
double result = 0;
for (size_t i = 0; i < numCells; ++i) {
result += (lhs.cells()[i] * rhs.cells()[i]);
}
return result;
}
const DenseTensor &
asDenseTensor(const tensor::Tensor &tensor)
{
return dynamic_cast<const DenseTensor &>(tensor);
}
class FunctionInput : public TensorFunction::Input
{
private:
tensor::Tensor::UP _lhsTensor;
tensor::Tensor::UP _rhsTensor;
const DenseTensor &_lhsDenseTensor;
const DenseTensor &_rhsDenseTensor;
public:
FunctionInput(size_t lhsNumCells, size_t rhsNumCells)
: _lhsTensor(makeTensor(lhsNumCells, 3.0)),
_rhsTensor(makeTensor(rhsNumCells, 5.0)),
_lhsDenseTensor(asDenseTensor(*_lhsTensor)),
_rhsDenseTensor(asDenseTensor(*_rhsTensor))
{}
virtual const Value &get_tensor(size_t id) const override {
if (id == 0) {
return *_lhsTensor;
} else {
return *_rhsTensor;
}
}
double expectedDotProduct() const {
return calcDotProduct(_lhsDenseTensor, _rhsDenseTensor);
}
};
struct Fixture
{
DenseDotProductFunction function;
FunctionInput input;
Fixture(size_t lhsNumCells, size_t rhsNumCells);
~Fixture();
double eval() const {
Stash stash;
const Value &result = function.eval(input, stash);
ASSERT_TRUE(result.is_double());
LOG(info, "eval(): (%s) * (%s) = %f",
input.get_tensor(0).type().to_spec().c_str(),
input.get_tensor(1).type().to_spec().c_str(),
result.as_double());
return result.as_double();
}
};
Fixture::Fixture(size_t lhsNumCells, size_t rhsNumCells)
: function(0, 1),
input(lhsNumCells, rhsNumCells)
{ }
Fixture::~Fixture() { }
void
assertDotProduct(size_t numCells)
{
Fixture f(numCells, numCells);
EXPECT_EQUAL(f.input.expectedDotProduct(), f.eval());
}
void
assertDotProduct(size_t lhsNumCells, size_t rhsNumCells)
{
Fixture f(lhsNumCells, rhsNumCells);
EXPECT_EQUAL(f.input.expectedDotProduct(), f.eval());
}
TEST_F("require that empty dot product is correct", Fixture(0, 0))
{
EXPECT_EQUAL(0.0, f.eval());
}
TEST_F("require that basic dot product with equal sizes is correct", Fixture(2, 2))
{
EXPECT_EQUAL((3.0 * 5.0) + (4.0 * 6.0), f.eval());
}
TEST_F("require that basic dot product with un-equal sizes is correct", Fixture(2, 3))
{
EXPECT_EQUAL((3.0 * 5.0) + (4.0 * 6.0), f.eval());
}
TEST_F("require that basic dot product with un-equal sizes is correct", Fixture(3, 2))
{
EXPECT_EQUAL((3.0 * 5.0) + (4.0 * 6.0), f.eval());
}
TEST("require that dot product with equal sizes is correct")
{
TEST_DO(assertDotProduct(8));
TEST_DO(assertDotProduct(16));
TEST_DO(assertDotProduct(32));
TEST_DO(assertDotProduct(64));
TEST_DO(assertDotProduct(128));
TEST_DO(assertDotProduct(256));
TEST_DO(assertDotProduct(512));
TEST_DO(assertDotProduct(1024));
TEST_DO(assertDotProduct(8 + 3));
TEST_DO(assertDotProduct(16 + 3));
TEST_DO(assertDotProduct(32 + 3));
TEST_DO(assertDotProduct(64 + 3));
TEST_DO(assertDotProduct(128 + 3));
TEST_DO(assertDotProduct(256 + 3));
TEST_DO(assertDotProduct(512 + 3));
TEST_DO(assertDotProduct(1024 + 3));
}
TEST("require that dot product with un-equal sizes is correct")
{
TEST_DO(assertDotProduct(8, 8 + 3));
TEST_DO(assertDotProduct(16, 16 + 3));
TEST_DO(assertDotProduct(32, 32 + 3));
TEST_DO(assertDotProduct(64, 64 + 3));
TEST_DO(assertDotProduct(128, 128 + 3));
TEST_DO(assertDotProduct(256, 256 + 3));
TEST_DO(assertDotProduct(512, 512 + 3));
TEST_DO(assertDotProduct(1024, 1024 + 3));
}
TEST_MAIN() { TEST_RUN_ALL(); }
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