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// Copyright 2016 Yahoo Inc. 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/vespalib/util/stringfmt.h>
#include <vespa/eval/tensor/tensor_mapper.h>
#include <vespa/eval/tensor/wrapped_simple_tensor.h>
#include <vespa/eval/tensor/default_tensor_engine.h>
#include <vespa/eval/eval/tensor_spec.h>
#include <vespa/eval/eval/simple_tensor.h>
using vespalib::eval::ValueType;
using vespalib::eval::TensorSpec;
using vespalib::eval::SimpleTensor;
using namespace vespalib::tensor;
void verify_wrapped(const TensorSpec &source, const vespalib::string &type, const TensorSpec &expect) {
auto tensor = std::make_unique<WrappedSimpleTensor>(SimpleTensor::create(source));
auto mapped = TensorMapper::mapToWrapped(*tensor, ValueType::from_spec(type));
TensorSpec actual = mapped->toSpec();
EXPECT_EQUAL(actual, expect);
}
void verify(const TensorSpec &source, const vespalib::string &type, const TensorSpec &expect) {
auto tensor = DefaultTensorEngine::ref().create(source);
const Tensor *tensor_impl = dynamic_cast<const Tensor *>(tensor.get());
ASSERT_TRUE(tensor_impl);
TensorMapper mapper(ValueType::from_spec(type));
auto mapped = mapper.map(*tensor_impl);
TensorSpec actual = mapped->toSpec();
EXPECT_EQUAL(actual, expect);
TEST_DO(verify_wrapped(source, type, expect));
}
TEST("require that sparse tensors can be mapped to sparse type") {
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","1"},{"y","1"}}, 1)
.add({{"x","2"},{"y","1"}}, 3)
.add({{"x","1"},{"y","2"}}, 5)
.add({{"x","2"},{"y","2"}}, 7),
"tensor(y{})",
TensorSpec("tensor(y{})")
.add({{"y","1"}}, 4)
.add({{"y","2"}}, 12)));
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","1"},{"y","1"}}, 1)
.add({{"x","2"},{"y","1"}}, 3)
.add({{"x","1"},{"y","2"}}, 5)
.add({{"x","2"},{"y","2"}}, 7),
"tensor(x{})",
TensorSpec("tensor(x{})")
.add({{"x","1"}}, 6)
.add({{"x","2"}}, 10)));
}
TEST("require that sparse tensors can be mapped to dense type") {
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","1"},{"y","0"}}, 1)
.add({{"x","2"},{"y","0"}}, 3)
.add({{"x","1"},{"y","1"}}, 5)
.add({{"x","2"},{"y","1"}}, 7),
"tensor(y[3])",
TensorSpec("tensor(y[3])")
.add({{"y",0}}, 4)
.add({{"y",1}}, 12)
.add({{"y",2}}, 0)));
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","1"},{"y","0x"}}, 1)
.add({{"x","2"},{"y",""}}, 3)
.add({{"x","1"},{"y","1"}}, 5)
.add({{"x","2"},{"y","10"}}, 7),
"tensor(y[3])",
TensorSpec("tensor(y[3])")
.add({{"y",0}}, 3)
.add({{"y",1}}, 5)
.add({{"y",2}}, 0)));
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","0"},{"y","0"}}, 1)
.add({{"x","1"},{"y","0"}}, 3)
.add({{"x","0"},{"y","1"}}, 5)
.add({{"x","10"},{"y","1"}}, 7),
"tensor(x[2],y[3])",
TensorSpec("tensor(x[2],y[3])")
.add({{"x",0},{"y",0}}, 1)
.add({{"x",0},{"y",1}}, 5)
.add({{"x",0},{"y",2}}, 0)
.add({{"x",1},{"y",0}}, 3)
.add({{"x",1},{"y",1}}, 0)
.add({{"x",1},{"y",2}}, 0)));
}
TEST("require that sparse tensors can be mapped to abstract dense type") {
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","0"},{"y","0"}}, 1)
.add({{"x","1"},{"y","0"}}, 3)
.add({{"x","0"},{"y","1"}}, 5)
.add({{"x","10"},{"y","1"}}, 7),
"tensor(x[2],y[])",
TensorSpec("tensor(x[2],y[2])")
.add({{"x",0},{"y",0}}, 1)
.add({{"x",0},{"y",1}}, 5)
.add({{"x",1},{"y",0}}, 3)
.add({{"x",1},{"y",1}}, 0)));
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","0"},{"y","0"}}, 1)
.add({{"x","1"},{"y","0"}}, 3)
.add({{"x","0"},{"y","1"}}, 5)
.add({{"x","2"},{"y","0"}}, 7),
"tensor(x[],y[])",
TensorSpec("tensor(x[3],y[2])")
.add({{"x",0},{"y",0}}, 1)
.add({{"x",0},{"y",1}}, 5)
.add({{"x",1},{"y",0}}, 3)
.add({{"x",1},{"y",1}}, 0)
.add({{"x",2},{"y",0}}, 7)
.add({{"x",2},{"y",1}}, 0)));
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","0"},{"y","0"}}, 1)
.add({{"x","1"},{"y","0"}}, 3)
.add({{"x","0"},{"y","1"}}, 5)
.add({{"x","10"},{"y","3"}}, 7),
"tensor(x[],y[3])",
TensorSpec("tensor(x[2],y[3])")
.add({{"x",0},{"y",0}}, 1)
.add({{"x",0},{"y",1}}, 5)
.add({{"x",0},{"y",2}}, 0)
.add({{"x",1},{"y",0}}, 3)
.add({{"x",1},{"y",1}}, 0)
.add({{"x",1},{"y",2}}, 0)));
}
TEST("require that dense tensors can be mapped to sparse type") {
TEST_DO(verify(TensorSpec("tensor(x[2],y[2])")
.add({{"x",0},{"y",0}}, 1)
.add({{"x",0},{"y",1}}, 3)
.add({{"x",1},{"y",0}}, 5)
.add({{"x",1},{"y",1}}, 7),
"tensor(x{})",
TensorSpec("tensor(x{})")
.add({{"x","0"}}, 4)
.add({{"x","1"}}, 12)));
}
TEST("require that mixed tensors can be mapped to sparse type") {
TEST_DO(verify(TensorSpec("tensor(x[2],y{})")
.add({{"x",0},{"y","0"}}, 1)
.add({{"x",0},{"y","1"}}, 3)
.add({{"x",1},{"y","0"}}, 5)
.add({{"x",1},{"y","1"}}, 7),
"tensor(x{})",
TensorSpec("tensor(x{})")
.add({{"x","0"}}, 4)
.add({{"x","1"}}, 12)));
}
TEST("require that mixed tensors can be mapped to dense type") {
TEST_DO(verify(TensorSpec("tensor(x[2],y{})")
.add({{"x",0},{"y","0"}}, 1)
.add({{"x",0},{"y","1"}}, 3)
.add({{"x",1},{"y","0"}}, 5)
.add({{"x",1},{"y","1"}}, 7),
"tensor(y[])",
TensorSpec("tensor(y[2])")
.add({{"y",0}}, 6)
.add({{"y",1}}, 10)));
}
TEST("require that mixed tensors can be mapped to mixed type") {
TEST_DO(verify(TensorSpec("tensor(x[2],y{})")
.add({{"x",0},{"y","0"}}, 1)
.add({{"x",0},{"y","1"}}, 3)
.add({{"x",1},{"y","0"}}, 5)
.add({{"x",1},{"y","1"}}, 7),
"tensor(x{},y[])",
TensorSpec("tensor(x{},y[2])")
.add({{"x","0"},{"y",0}}, 1)
.add({{"x","0"},{"y",1}}, 3)
.add({{"x","1"},{"y",0}}, 5)
.add({{"x","1"},{"y",1}}, 7)));
}
TEST("require that dense tensors can be mapped to mixed type") {
TEST_DO(verify(TensorSpec("tensor(x[2],y[2])")
.add({{"x",0},{"y",0}}, 1)
.add({{"x",0},{"y",1}}, 3)
.add({{"x",1},{"y",0}}, 5)
.add({{"x",1},{"y",1}}, 7),
"tensor(x{},y[])",
TensorSpec("tensor(x{},y[2])")
.add({{"x","0"},{"y",0}}, 1)
.add({{"x","0"},{"y",1}}, 3)
.add({{"x","1"},{"y",0}}, 5)
.add({{"x","1"},{"y",1}}, 7)));
}
TEST("require that sparse tensors can be mapped to mixed type") {
TEST_DO(verify(TensorSpec("tensor(x{},y{})")
.add({{"x","0"},{"y","0"}}, 1)
.add({{"x","0"},{"y","1"}}, 3)
.add({{"x","1"},{"y","0"}}, 5)
.add({{"x","1"},{"y","1"}}, 7),
"tensor(x[],y{})",
TensorSpec("tensor(x[2],y{})")
.add({{"x",0},{"y","0"}}, 1)
.add({{"x",0},{"y","1"}}, 3)
.add({{"x",1},{"y","0"}}, 5)
.add({{"x",1},{"y","1"}}, 7)));
}
TEST("require that missing dimensions are added appropriately") {
TEST_DO(verify(TensorSpec("tensor(x{})")
.add({{"x","foo"}}, 42),
"tensor(x{},y{})",
TensorSpec("tensor(x{},y{})")
.add({{"x","foo"},{"y",""}}, 42)));
TEST_DO(verify(TensorSpec("tensor(x[1])")
.add({{"x",0}}, 42),
"tensor(x[1],y[],z[2])",
TensorSpec("tensor(x[1],y[1],z[2])")
.add({{"x",0},{"y",0},{"z",0}}, 42)
.add({{"x",0},{"y",0},{"z",1}}, 0)));
TEST_DO(verify(TensorSpec("tensor(a{})")
.add({{"a","foo"}}, 42),
"tensor(a{},b[],c{},d[2])",
TensorSpec("tensor(a{},b[1],c{},d[2])")
.add({{"a","foo"},{"b",0},{"c",""},{"d",0}}, 42)
.add({{"a","foo"},{"b",0},{"c",""},{"d",1}}, 0)));
}
TEST_MAIN() { TEST_RUN_ALL(); }
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