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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/eval/simple_tensor.h>
#include <vespa/eval/eval/simple_tensor_engine.h>
#include <vespa/eval/eval/operation.h>
#include <vespa/vespalib/util/stash.h>
#include <iostream>
using namespace vespalib::eval;
using Cell = SimpleTensor::Cell;
using Cells = SimpleTensor::Cells;
using Address = SimpleTensor::Address;
using Stash = vespalib::Stash;
// need to specify numbers explicitly as size_t to avoid ambiguous behavior for 0
constexpr size_t operator "" _z (unsigned long long int n) { return n; }
const Tensor &unwrap(const Value &value) {
ASSERT_TRUE(value.is_tensor());
return *value.as_tensor();
}
struct CellBuilder {
Cells cells;
CellBuilder &add(const Address &addr, double value) {
cells.emplace_back(addr, value);
return *this;
}
Cells build() { return cells; }
};
TEST("require that simple tensors can be built using tensor spec") {
TensorSpec spec("tensor(w{},x[2],y{},z[2])");
spec.add({{"w", "xxx"}, {"x", 0}, {"y", "xxx"}, {"z", 0}}, 1.0)
.add({{"w", "xxx"}, {"x", 0}, {"y", "yyy"}, {"z", 1}}, 2.0)
.add({{"w", "yyy"}, {"x", 1}, {"y", "xxx"}, {"z", 0}}, 3.0)
.add({{"w", "yyy"}, {"x", 1}, {"y", "yyy"}, {"z", 1}}, 4.0);
auto tensor = SimpleTensorEngine::ref().create(spec);
TensorSpec full_spec("tensor(w{},x[2],y{},z[2])");
full_spec
.add({{"w", "xxx"}, {"x", 0}, {"y", "xxx"}, {"z", 0}}, 1.0)
.add({{"w", "xxx"}, {"x", 0}, {"y", "xxx"}, {"z", 1}}, 0.0)
.add({{"w", "xxx"}, {"x", 0}, {"y", "yyy"}, {"z", 0}}, 0.0)
.add({{"w", "xxx"}, {"x", 0}, {"y", "yyy"}, {"z", 1}}, 2.0)
.add({{"w", "xxx"}, {"x", 1}, {"y", "xxx"}, {"z", 0}}, 0.0)
.add({{"w", "xxx"}, {"x", 1}, {"y", "xxx"}, {"z", 1}}, 0.0)
.add({{"w", "xxx"}, {"x", 1}, {"y", "yyy"}, {"z", 0}}, 0.0)
.add({{"w", "xxx"}, {"x", 1}, {"y", "yyy"}, {"z", 1}}, 0.0)
.add({{"w", "yyy"}, {"x", 0}, {"y", "xxx"}, {"z", 0}}, 0.0)
.add({{"w", "yyy"}, {"x", 0}, {"y", "xxx"}, {"z", 1}}, 0.0)
.add({{"w", "yyy"}, {"x", 0}, {"y", "yyy"}, {"z", 0}}, 0.0)
.add({{"w", "yyy"}, {"x", 0}, {"y", "yyy"}, {"z", 1}}, 0.0)
.add({{"w", "yyy"}, {"x", 1}, {"y", "xxx"}, {"z", 0}}, 3.0)
.add({{"w", "yyy"}, {"x", 1}, {"y", "xxx"}, {"z", 1}}, 0.0)
.add({{"w", "yyy"}, {"x", 1}, {"y", "yyy"}, {"z", 0}}, 0.0)
.add({{"w", "yyy"}, {"x", 1}, {"y", "yyy"}, {"z", 1}}, 4.0);
auto full_tensor = SimpleTensorEngine::ref().create(full_spec);
SimpleTensor expect_tensor(ValueType::from_spec("tensor(w{},x[2],y{},z[2])"),
CellBuilder()
.add({{"xxx"}, {0_z}, {"xxx"}, {0_z}}, 1.0)
.add({{"xxx"}, {0_z}, {"xxx"}, {1_z}}, 0.0)
.add({{"xxx"}, {0_z}, {"yyy"}, {0_z}}, 0.0)
.add({{"xxx"}, {0_z}, {"yyy"}, {1_z}}, 2.0)
.add({{"xxx"}, {1_z}, {"xxx"}, {0_z}}, 0.0)
.add({{"xxx"}, {1_z}, {"xxx"}, {1_z}}, 0.0)
.add({{"xxx"}, {1_z}, {"yyy"}, {0_z}}, 0.0)
.add({{"xxx"}, {1_z}, {"yyy"}, {1_z}}, 0.0)
.add({{"yyy"}, {0_z}, {"xxx"}, {0_z}}, 0.0)
.add({{"yyy"}, {0_z}, {"xxx"}, {1_z}}, 0.0)
.add({{"yyy"}, {0_z}, {"yyy"}, {0_z}}, 0.0)
.add({{"yyy"}, {0_z}, {"yyy"}, {1_z}}, 0.0)
.add({{"yyy"}, {1_z}, {"xxx"}, {0_z}}, 3.0)
.add({{"yyy"}, {1_z}, {"xxx"}, {1_z}}, 0.0)
.add({{"yyy"}, {1_z}, {"yyy"}, {0_z}}, 0.0)
.add({{"yyy"}, {1_z}, {"yyy"}, {1_z}}, 4.0)
.build());
EXPECT_EQUAL(expect_tensor, *tensor);
EXPECT_EQUAL(expect_tensor, *full_tensor);
EXPECT_EQUAL(full_spec, tensor->engine().to_spec(*tensor));
};
TEST("require that simple tensors can have their values negated") {
auto tensor = SimpleTensor::create(
TensorSpec("tensor(x{},y{})")
.add({{"x","1"},{"y","1"}}, 1)
.add({{"x","2"},{"y","1"}}, -3)
.add({{"x","1"},{"y","2"}}, 5));
auto expect = SimpleTensor::create(
TensorSpec("tensor(x{},y{})")
.add({{"x","1"},{"y","1"}}, -1)
.add({{"x","2"},{"y","1"}}, 3)
.add({{"x","1"},{"y","2"}}, -5));
auto result = tensor->map([](double a){ return -a; });
EXPECT_EQUAL(*expect, *result);
Stash stash;
const Value &result2 = SimpleTensorEngine::ref().map(operation::Neg(), *tensor, stash);
EXPECT_EQUAL(*expect, unwrap(result2));
}
TEST("require that simple tensors can be multiplied with each other") {
auto lhs = SimpleTensor::create(
TensorSpec("tensor(x{},y{})")
.add({{"x","1"},{"y","1"}}, 1)
.add({{"x","2"},{"y","1"}}, 3)
.add({{"x","1"},{"y","2"}}, 5));
auto rhs = SimpleTensor::create(
TensorSpec("tensor(y{},z{})")
.add({{"y","1"},{"z","1"}}, 7)
.add({{"y","2"},{"z","1"}}, 11)
.add({{"y","1"},{"z","2"}}, 13));
auto expect = SimpleTensor::create(
TensorSpec("tensor(x{},y{},z{})")
.add({{"x","1"},{"y","1"},{"z","1"}}, 7)
.add({{"x","1"},{"y","1"},{"z","2"}}, 13)
.add({{"x","2"},{"y","1"},{"z","1"}}, 21)
.add({{"x","2"},{"y","1"},{"z","2"}}, 39)
.add({{"x","1"},{"y","2"},{"z","1"}}, 55));
auto result = SimpleTensor::join(*lhs, *rhs, [](double a, double b){ return (a * b); });
EXPECT_EQUAL(*expect, *result);
Stash stash;
const Value &result2 = SimpleTensorEngine::ref().apply(operation::Mul(), *lhs, *rhs, stash);
EXPECT_EQUAL(*expect, unwrap(result2));
}
TEST("require that simple tensors support dimension reduction") {
auto tensor = SimpleTensor::create(
TensorSpec("tensor(x[3],y[2])")
.add({{"x",0},{"y",0}}, 1)
.add({{"x",1},{"y",0}}, 2)
.add({{"x",2},{"y",0}}, 3)
.add({{"x",0},{"y",1}}, 4)
.add({{"x",1},{"y",1}}, 5)
.add({{"x",2},{"y",1}}, 6));
auto expect_sum_y = SimpleTensor::create(
TensorSpec("tensor(x[3])")
.add({{"x",0}}, 5)
.add({{"x",1}}, 7)
.add({{"x",2}}, 9));
auto expect_sum_x = SimpleTensor::create(
TensorSpec("tensor(y[2])")
.add({{"y",0}}, 6)
.add({{"y",1}}, 15));
auto expect_sum_all = SimpleTensor::create(TensorSpec("double").add({}, 21));
Stash stash;
Aggregator &aggr_sum = Aggregator::create(Aggr::SUM, stash);
auto result_sum_y = tensor->reduce(aggr_sum, {"y"});
auto result_sum_x = tensor->reduce(aggr_sum, {"x"});
auto result_sum_all = tensor->reduce(aggr_sum, {"x", "y"});
EXPECT_EQUAL(*expect_sum_y, *result_sum_y);
EXPECT_EQUAL(*expect_sum_x, *result_sum_x);
EXPECT_EQUAL(*expect_sum_all, *result_sum_all);
const Value &result_sum_y_2 = SimpleTensorEngine::ref().reduce(*tensor, operation::Add(), {"y"}, stash);
const Value &result_sum_x_2 = SimpleTensorEngine::ref().reduce(*tensor, operation::Add(), {"x"}, stash);
const Value &result_sum_all_2 = SimpleTensorEngine::ref().reduce(*tensor, operation::Add(), {"x", "y"}, stash);
const Value &result_sum_all_3 = SimpleTensorEngine::ref().reduce(*tensor, operation::Add(), {}, stash);
EXPECT_EQUAL(*expect_sum_y, unwrap(result_sum_y_2));
EXPECT_EQUAL(*expect_sum_x, unwrap(result_sum_x_2));
EXPECT_TRUE(result_sum_all_2.is_double());
EXPECT_TRUE(result_sum_all_3.is_double());
EXPECT_EQUAL(21, result_sum_all_2.as_double());
EXPECT_EQUAL(21, result_sum_all_3.as_double());
EXPECT_EQUAL(*result_sum_y, *result_sum_y);
EXPECT_NOT_EQUAL(*result_sum_y, *result_sum_x);
}
TEST_MAIN() { TEST_RUN_ALL(); }
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