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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/vespalib/testkit/test_kit.h>
#include <vespa/eval/tensor/dense/dense_dot_product_function.h>
#include <vespa/eval/tensor/dense/dense_xw_product_function.h>
#include <vespa/eval/eval/operation.h>
using namespace vespalib::eval;
using namespace vespalib::eval::operation;
using namespace vespalib::eval::tensor_function;
using namespace vespalib::tensor;
using vespalib::Stash;
//-----------------------------------------------------------------------------
const TensorFunction &
optimizeDotProduct(const vespalib::string &lhsType,
const vespalib::string &rhsType,
Stash &stash)
{
const Node &reduceNode = reduce(join(inject(ValueType::from_spec(lhsType), 1, stash),
inject(ValueType::from_spec(rhsType), 3, stash),
Mul::f, stash),
Aggr::SUM, {}, stash);
return DenseDotProductFunction::optimize(reduceNode, stash);
}
void assertParam(const TensorFunction &node, size_t expect_idx) {
auto inject = as<Inject>(node);
ASSERT_TRUE(inject);
EXPECT_EQUAL(inject->param_idx(), expect_idx);
}
void
assertOptimizedDotProduct(const vespalib::string &lhsType,
const vespalib::string &rhsType)
{
Stash stash;
const TensorFunction &func = optimizeDotProduct(lhsType, rhsType, stash);
const DenseDotProductFunction *dotProduct = as<DenseDotProductFunction>(func);
ASSERT_TRUE(dotProduct);
TEST_DO(assertParam(dotProduct->lhs(), 1));
TEST_DO(assertParam(dotProduct->rhs(), 3));
}
void
assertNotOptimizedDotProduct(const vespalib::string &lhsType,
const vespalib::string &rhsType)
{
Stash stash;
const TensorFunction &func = optimizeDotProduct(lhsType, rhsType, stash);
const Reduce *reduce = as<Reduce>(func);
EXPECT_TRUE(reduce);
}
//-----------------------------------------------------------------------------
const TensorFunction &
optimizeXWProduct(const vespalib::string &lhsType,
const vespalib::string &rhsType,
const vespalib::string &dim,
Stash &stash)
{
const Node &reduceNode = reduce(join(inject(ValueType::from_spec(lhsType), 1, stash),
inject(ValueType::from_spec(rhsType), 3, stash),
Mul::f, stash),
Aggr::SUM, {dim}, stash);
return DenseXWProductFunction::optimize(reduceNode, stash);
}
void
assertOptimizedXWProduct(const vespalib::string &vecTypeStr,
const vespalib::string &matTypeStr,
const vespalib::string &dim)
{
Stash stash;
const TensorFunction &func = optimizeXWProduct(vecTypeStr, matTypeStr, dim, stash);
const TensorFunction &inv_func = optimizeXWProduct(matTypeStr, vecTypeStr, dim, stash);
const DenseXWProductFunction *xwProduct = as<DenseXWProductFunction>(func);
const DenseXWProductFunction *inv_xwProduct = as<DenseXWProductFunction>(inv_func);
ValueType vecType = ValueType::from_spec(vecTypeStr);
ValueType matType = ValueType::from_spec(matTypeStr);
size_t common_idx = matType.dimension_index(vecType.dimensions()[0].name);
ASSERT_TRUE(xwProduct);
ASSERT_TRUE(inv_xwProduct);
ASSERT_TRUE(common_idx != ValueType::Dimension::npos);
TEST_DO(assertParam(xwProduct->lhs(), 1));
TEST_DO(assertParam(inv_xwProduct->lhs(), 3));
TEST_DO(assertParam(xwProduct->rhs(), 3));
TEST_DO(assertParam(inv_xwProduct->rhs(), 1));
EXPECT_EQUAL(xwProduct->vectorSize(), vecType.dimensions()[0].size);
EXPECT_EQUAL(inv_xwProduct->vectorSize(), vecType.dimensions()[0].size);
EXPECT_EQUAL(xwProduct->resultSize(), matType.dimensions()[1 - common_idx].size);
EXPECT_EQUAL(inv_xwProduct->resultSize(), matType.dimensions()[1 - common_idx].size);
EXPECT_EQUAL(xwProduct->matrixHasCommonDimensionInnermost(), (common_idx == 1));
EXPECT_EQUAL(inv_xwProduct->matrixHasCommonDimensionInnermost(), (common_idx == 1));
}
void
assertNotOptimizedXWProduct(const vespalib::string &vecType,
const vespalib::string &matType,
const vespalib::string &dim)
{
Stash stash;
const TensorFunction &func = optimizeXWProduct(vecType, matType, dim, stash);
const TensorFunction &inv_func = optimizeXWProduct(matType, vecType, dim, stash);
const Reduce *reduce = as<Reduce>(func);
const Reduce *inv_reduce = as<Reduce>(inv_func);
EXPECT_TRUE(reduce);
EXPECT_TRUE(inv_reduce);
}
//-----------------------------------------------------------------------------
TEST("require that dot product with compatible dimensions is optimized")
{
TEST_DO(assertOptimizedDotProduct("tensor(x[5])", "tensor(x[5])"));
TEST_DO(assertOptimizedDotProduct("tensor(x[3])", "tensor(x[5])"));
TEST_DO(assertOptimizedDotProduct("tensor(x[5])", "tensor(x[3])"));
TEST_DO(assertOptimizedDotProduct("tensor(x[])", "tensor(x[5])"));
TEST_DO(assertOptimizedDotProduct("tensor(x[5])", "tensor(x[])"));
TEST_DO(assertOptimizedDotProduct("tensor(x[])", "tensor(x[])"));
}
TEST("require that dot product with incompatible dimensions is NOT optimized")
{
TEST_DO(assertNotOptimizedDotProduct("tensor(x[5])", "tensor(y[5])"));
TEST_DO(assertNotOptimizedDotProduct("tensor(y[5])", "tensor(x[5])"));
TEST_DO(assertNotOptimizedDotProduct("tensor(y[])", "tensor(x[])"));
TEST_DO(assertNotOptimizedDotProduct("tensor(x[5])", "tensor(x[5],y[7])"));
TEST_DO(assertNotOptimizedDotProduct("tensor(x[5],y[7])", "tensor(x[5],y[7])"));
}
//-----------------------------------------------------------------------------
TEST("require that xw products with compatible dimensions are optimized") {
TEST_DO(assertOptimizedXWProduct("tensor(x[3])", "tensor(x[3],y[4])", "x"));
TEST_DO(assertOptimizedXWProduct("tensor(y[4])", "tensor(x[3],y[4])", "y"));
}
TEST("require that xw products with incompatible dimensions are not optimized") {
TEST_DO(assertNotOptimizedXWProduct("tensor(x[3])", "tensor(x[3],y[4])", "y"));
TEST_DO(assertNotOptimizedXWProduct("tensor(x[])", "tensor(x[3],y[4])", "x"));
TEST_DO(assertNotOptimizedXWProduct("tensor(x[3])", "tensor(x[],y[4])", "x"));
TEST_DO(assertNotOptimizedXWProduct("tensor(x[3])", "tensor(x[3],y[])", "x"));
TEST_DO(assertNotOptimizedXWProduct("tensor(x[2])", "tensor(x[3],y[4])", "x"));
TEST_DO(assertNotOptimizedXWProduct("tensor(x[4])", "tensor(x[3],y[4])", "x"));
TEST_DO(assertNotOptimizedXWProduct("tensor(x[3])", "tensor(y[3],z[4])", "x"));
TEST_DO(assertNotOptimizedXWProduct("tensor(x[3])", "tensor(y[3],z[4])", "y"));
TEST_DO(assertNotOptimizedXWProduct("tensor(x[3])", "tensor(y[3],z[4])", "z"));
TEST_DO(assertNotOptimizedXWProduct("tensor(y[4])", "tensor(x[3],y[4])", "x"));
TEST_DO(assertNotOptimizedXWProduct("tensor(y[3])", "tensor(x[3],y[4])", "y"));
TEST_DO(assertNotOptimizedXWProduct("tensor(y[5])", "tensor(x[3],y[4])", "y"));
}
//-----------------------------------------------------------------------------
TEST_MAIN() { TEST_RUN_ALL(); }
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