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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/sparse/sparse_tensor.h>
#include <vespa/eval/tensor/types.h>
#include <vespa/eval/tensor/default_tensor_engine.h>
#include <vespa/eval/tensor/serialization/typed_binary_format.h>
#include <vespa/eval/tensor/serialization/sparse_binary_format.h>
#include <vespa/vespalib/objects/nbostream.h>
#include <vespa/vespalib/objects/hexdump.h>
#include <ostream>
#include <vespa/eval/tensor/dense/dense_tensor_view.h>
using namespace vespalib::tensor;
using vespalib::eval::TensorSpec;
using vespalib::nbostream;
using ExpBuffer = std::vector<uint8_t>;
namespace std {
bool operator==(const std::vector<uint8_t> &exp, const nbostream &stream)
{
return ((exp.size() == stream.size()) &&
(memcmp(&exp[0], stream.peek(), exp.size()) == 0));
}
std::ostream &operator<<(std::ostream &out, const std::vector<uint8_t> &rhs)
{
out << vespalib::HexDump(&rhs[0], rhs.size());
return out;
}
}
//-----------------------------------------------------------------------------
template <typename T>
void verify_cells_only(const ExpBuffer &exp, const TensorSpec &spec) {
nbostream input(&exp[0], exp.size());
std::vector<T> cells;
TypedBinaryFormat::deserializeCellsOnlyFromDenseTensors(input, cells);
ASSERT_EQUAL(cells.size(), spec.cells().size());
size_t i = 0;
for (const auto &cell: spec.cells()) {
EXPECT_EQUAL(cells[i++], cell.second.value);
}
ASSERT_EQUAL(i, cells.size());
}
void verify_serialized(const ExpBuffer &exp, const TensorSpec &spec) {
auto &engine = DefaultTensorEngine::ref();
auto value = engine.from_spec(spec);
auto value_spec = engine.to_spec(*value);
nbostream actual;
engine.encode(*value, actual);
EXPECT_EQUAL(exp, actual);
auto decoded = engine.decode(actual);
auto decoded_spec = engine.to_spec(*decoded);
EXPECT_EQUAL(0u, actual.size());
EXPECT_EQUAL(value_spec, decoded_spec);
if (value->type().is_dense()) {
TEST_DO(verify_cells_only<float>(exp, value_spec));
TEST_DO(verify_cells_only<double>(exp, value_spec));
}
}
//-----------------------------------------------------------------------------
TEST("test tensor serialization for SparseTensor") {
TEST_DO(verify_serialized({ 0x01, 0x01, 0x01, 0x78, 0x00 },
TensorSpec("tensor(x{})")));
TEST_DO(verify_serialized({ 0x01, 0x02, 0x01, 0x78, 0x01, 0x79, 0x00 },
TensorSpec("tensor(x{},y{})")));
TEST_DO(verify_serialized({ 0x01, 0x01, 0x01, 0x78, 0x01, 0x01, 0x31, 0x40,
0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 },
TensorSpec("tensor(x{})")
.add({{"x", "1"}}, 3)));
TEST_DO(verify_serialized({ 0x01, 0x02, 0x01, 0x78, 0x01, 0x79, 0x01, 0x00,
0x00, 0x40, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00 },
TensorSpec("tensor(x{},y{})")
.add({{"x", ""}, {"y", ""}}, 3)));
TEST_DO(verify_serialized({ 0x01, 0x02, 0x01, 0x78, 0x01, 0x79, 0x01, 0x01,
0x31, 0x00, 0x40, 0x08, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00 },
TensorSpec("tensor(x{},y{})")
.add({{"x", "1"}, {"y", ""}}, 3)));
TEST_DO(verify_serialized({ 0x01, 0x02, 0x01, 0x78, 0x01, 0x79, 0x01, 0x00,
0x01, 0x33, 0x40, 0x08, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00 },
TensorSpec("tensor(x{},y{})")
.add({{"x", ""}, {"y", "3"}}, 3)));
TEST_DO(verify_serialized({ 0x01, 0x02, 0x01, 0x78, 0x01, 0x79, 0x01, 0x01,
0x32, 0x01, 0x34, 0x40, 0x08, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00 },
TensorSpec("tensor(x{},y{})")
.add({{"x", "2"}, {"y", "4"}}, 3)));
TEST_DO(verify_serialized({ 0x01, 0x02, 0x01, 0x78, 0x01, 0x79,
0x01, 0x01, 0x31, 0x00, 0x40, 0x08,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00 },
TensorSpec("tensor(x{},y{})")
.add({{"x", "1"}, {"y", ""}}, 3)));
}
TEST("test tensor serialization for DenseTensor") {
TEST_DO(verify_serialized({0x02, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00},
TensorSpec("double")));
TEST_DO(verify_serialized({0x02, 0x01, 0x01, 0x78, 0x01,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00},
TensorSpec("tensor(x[1])")
.add({{"x", 0}}, 0)));
TEST_DO(verify_serialized({0x02, 0x02, 0x01, 0x78, 0x01,
0x01, 0x79, 0x01,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00},
TensorSpec("tensor(x[1],y[1])")
.add({{"x", 0}, {"y", 0}}, 0)));
TEST_DO(verify_serialized({0x02, 0x01, 0x01, 0x78, 0x02,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x40, 0x08, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00},
TensorSpec("tensor(x[2])")
.add({{"x", 1}}, 3)));
TEST_DO(verify_serialized({0x02, 0x02, 0x01, 0x78, 0x01,
0x01, 0x79, 0x01,
0x40, 0x08, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00},
TensorSpec("tensor(x[1],y[1])")
.add({{"x", 0}, {"y", 0}}, 3)));
TEST_DO(verify_serialized({0x02, 0x02, 0x01, 0x78, 0x02,
0x01, 0x79, 0x01,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x40, 0x08, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00},
TensorSpec("tensor(x[2],y[1])")
.add({{"x", 1}, {"y", 0}}, 3)));
TEST_DO(verify_serialized({0x02, 0x02, 0x01, 0x78, 0x01,
0x01, 0x79, 0x04,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x40, 0x08, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00},
TensorSpec("tensor(x[1],y[4])")
.add({{"x", 0}, {"y", 3}}, 3)));
TEST_DO(verify_serialized({0x02, 0x02, 0x01, 0x78, 0x03,
0x01, 0x79, 0x05,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x40, 0x08, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00},
TensorSpec("tensor(x[3],y[5])")
.add({{"x", 2}, {"y", 4}}, 3)));
}
TEST("test 'float' cells") {
TEST_DO(verify_serialized({0x06, 0x01, 0x02, 0x01, 0x78, 0x03,
0x01, 0x79, 0x05,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00,
0x40, 0x40, 0x00, 0x00 },
TensorSpec("tensor<float>(x[3],y[5])")
.add({{"x", 2}, {"y", 4}}, 3)));
}
TEST_MAIN() { TEST_RUN_ALL(); }
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