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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 <vespa/vespalib/data/memory.h>
#include <vespa/vespalib/objects/nbostream.h>
#include <iostream>
using namespace vespalib::eval;
using Cell = SimpleTensor::Cell;
using Cells = SimpleTensor::Cells;
using Address = SimpleTensor::Address;
using Stash = vespalib::Stash;
using vespalib::nbostream;
using vespalib::Memory;
TensorSpec to_spec(const Value &a) { return SimpleTensorEngine::ref().to_spec(a); }
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);
Value::UP tensor = SimpleTensorEngine::ref().from_spec(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);
Value::UP full_tensor = SimpleTensorEngine::ref().from_spec(full_spec);
EXPECT_EQUAL(full_spec, to_spec(*tensor));
EXPECT_EQUAL(full_spec, to_spec(*full_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(to_spec(*expect), to_spec(*result));
Stash stash;
const Value &result2 = SimpleTensorEngine::ref().map(*tensor, operation::Neg::f, stash);
EXPECT_EQUAL(to_spec(*expect), to_spec(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(to_spec(*expect), to_spec(*result));
Stash stash;
const Value &result2 = SimpleTensorEngine::ref().join(*lhs, *rhs, operation::Mul::f, stash);
EXPECT_EQUAL(to_spec(*expect), to_spec(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(to_spec(*expect_sum_y), to_spec(*result_sum_y));
EXPECT_EQUAL(to_spec(*expect_sum_x), to_spec(*result_sum_x));
EXPECT_EQUAL(to_spec(*expect_sum_all), to_spec(*result_sum_all));
const Value &result_sum_y_2 = SimpleTensorEngine::ref().reduce(*tensor, Aggr::SUM, {"y"}, stash);
const Value &result_sum_x_2 = SimpleTensorEngine::ref().reduce(*tensor, Aggr::SUM, {"x"}, stash);
const Value &result_sum_all_2 = SimpleTensorEngine::ref().reduce(*tensor, Aggr::SUM, {"x", "y"}, stash);
const Value &result_sum_all_3 = SimpleTensorEngine::ref().reduce(*tensor, Aggr::SUM, {}, stash);
EXPECT_EQUAL(to_spec(*expect_sum_y), to_spec(unwrap(result_sum_y_2)));
EXPECT_EQUAL(to_spec(*expect_sum_x), to_spec(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(to_spec(*result_sum_y), to_spec(*result_sum_y));
EXPECT_NOT_EQUAL(to_spec(*result_sum_y), to_spec(*result_sum_x));
}
//-----------------------------------------------------------------------------
struct SparseTensorExample {
TensorSpec make_spec() const {
return TensorSpec("tensor(x{},y{})")
.add({{"x","a"},{"y","a"}}, 1)
.add({{"x","a"},{"y","b"}}, 2)
.add({{"x","b"},{"y","a"}}, 3);
}
std::unique_ptr<SimpleTensor> make_tensor() const {
return SimpleTensor::create(make_spec());
}
template <typename T>
void encode_inner(nbostream &dst) const {
dst.putInt1_4Bytes(2);
dst.writeSmallString("x");
dst.writeSmallString("y");
dst.putInt1_4Bytes(3);
dst.writeSmallString("a");
dst.writeSmallString("a");
dst << (T) 1;
dst.writeSmallString("a");
dst.writeSmallString("b");
dst << (T) 2;
dst.writeSmallString("b");
dst.writeSmallString("a");
dst << (T) 3;
}
void encode_default(nbostream &dst) const {
dst.putInt1_4Bytes(1);
encode_inner<double>(dst);
}
void encode_with_double(nbostream &dst) const {
dst.putInt1_4Bytes(5);
dst.putInt1_4Bytes(0);
encode_inner<double>(dst);
}
void encode_with_float(nbostream &dst) const {
dst.putInt1_4Bytes(5);
dst.putInt1_4Bytes(1);
encode_inner<float>(dst);
}
};
TEST_F("require that sparse tensors can be decoded", SparseTensorExample()) {
nbostream data1;
nbostream data2;
nbostream data3;
f1.encode_default(data1);
f1.encode_with_double(data2);
f1.encode_with_float(data3);
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data1)), f1.make_spec());
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data2)), f1.make_spec());
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data3)), f1.make_spec());
}
TEST_F("require that sparse tensors can be encoded", SparseTensorExample()) {
nbostream data;
nbostream expect;
SimpleTensor::encode(*f1.make_tensor(), data);
f1.encode_default(expect);
EXPECT_EQUAL(Memory(data.peek(), data.size()), Memory(expect.peek(), expect.size()));
}
//-----------------------------------------------------------------------------
struct DenseTensorExample {
TensorSpec make_spec() const {
return TensorSpec("tensor(x[3],y[2])")
.add({{"x",0},{"y",0}}, 1)
.add({{"x",0},{"y",1}}, 2)
.add({{"x",1},{"y",0}}, 3)
.add({{"x",1},{"y",1}}, 4)
.add({{"x",2},{"y",0}}, 5)
.add({{"x",2},{"y",1}}, 6);
}
std::unique_ptr<SimpleTensor> make_tensor() const {
return SimpleTensor::create(make_spec());
}
template <typename T>
void encode_inner(nbostream &dst) const {
dst.putInt1_4Bytes(2);
dst.writeSmallString("x");
dst.putInt1_4Bytes(3);
dst.writeSmallString("y");
dst.putInt1_4Bytes(2);
dst << (T) 1;
dst << (T) 2;
dst << (T) 3;
dst << (T) 4;
dst << (T) 5;
dst << (T) 6;
}
void encode_default(nbostream &dst) const {
dst.putInt1_4Bytes(2);
encode_inner<double>(dst);
}
void encode_with_double(nbostream &dst) const {
dst.putInt1_4Bytes(6);
dst.putInt1_4Bytes(0);
encode_inner<double>(dst);
}
void encode_with_float(nbostream &dst) const {
dst.putInt1_4Bytes(6);
dst.putInt1_4Bytes(1);
encode_inner<float>(dst);
}
};
TEST_F("require that dense tensors can be decoded", DenseTensorExample()) {
nbostream data1;
nbostream data2;
nbostream data3;
f1.encode_default(data1);
f1.encode_with_double(data2);
f1.encode_with_float(data3);
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data1)), f1.make_spec());
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data2)), f1.make_spec());
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data3)), f1.make_spec());
}
TEST_F("require that dense tensors can be encoded", DenseTensorExample()) {
nbostream data;
nbostream expect;
SimpleTensor::encode(*f1.make_tensor(), data);
f1.encode_default(expect);
EXPECT_EQUAL(Memory(data.peek(), data.size()), Memory(expect.peek(), expect.size()));
}
//-----------------------------------------------------------------------------
struct MixedTensorExample {
TensorSpec make_spec() const {
return TensorSpec("tensor(x{},y{},z[2])")
.add({{"x","a"},{"y","a"},{"z",0}}, 1)
.add({{"x","a"},{"y","a"},{"z",1}}, 2)
.add({{"x","a"},{"y","b"},{"z",0}}, 3)
.add({{"x","a"},{"y","b"},{"z",1}}, 4)
.add({{"x","b"},{"y","a"},{"z",0}}, 5)
.add({{"x","b"},{"y","a"},{"z",1}}, 6);
}
std::unique_ptr<SimpleTensor> make_tensor() const {
return SimpleTensor::create(make_spec());
}
template <typename T>
void encode_inner(nbostream &dst) const {
dst.putInt1_4Bytes(2);
dst.writeSmallString("x");
dst.writeSmallString("y");
dst.putInt1_4Bytes(1);
dst.writeSmallString("z");
dst.putInt1_4Bytes(2);
dst.putInt1_4Bytes(3);
dst.writeSmallString("a");
dst.writeSmallString("a");
dst << (T) 1;
dst << (T) 2;
dst.writeSmallString("a");
dst.writeSmallString("b");
dst << (T) 3;
dst << (T) 4;
dst.writeSmallString("b");
dst.writeSmallString("a");
dst << (T) 5;
dst << (T) 6;
}
void encode_default(nbostream &dst) const {
dst.putInt1_4Bytes(3);
encode_inner<double>(dst);
}
void encode_with_double(nbostream &dst) const {
dst.putInt1_4Bytes(7);
dst.putInt1_4Bytes(0);
encode_inner<double>(dst);
}
void encode_with_float(nbostream &dst) const {
dst.putInt1_4Bytes(7);
dst.putInt1_4Bytes(1);
encode_inner<float>(dst);
}
};
TEST_F("require that mixed tensors can be decoded", MixedTensorExample()) {
nbostream data1;
nbostream data2;
nbostream data3;
f1.encode_default(data1);
f1.encode_with_double(data2);
f1.encode_with_float(data3);
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data1)), f1.make_spec());
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data2)), f1.make_spec());
EXPECT_EQUAL(to_spec(*SimpleTensor::decode(data3)), f1.make_spec());
}
TEST_F("require that mixed tensors can be encoded", MixedTensorExample()) {
nbostream data;
nbostream expect;
SimpleTensor::encode(*f1.make_tensor(), data);
f1.encode_default(expect);
EXPECT_EQUAL(Memory(data.peek(), data.size()), Memory(expect.peek(), expect.size()));
}
//-----------------------------------------------------------------------------
TEST_MAIN() { TEST_RUN_ALL(); }
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