Extend array interface to handle ndarray. (#7434)
* Extend array interface to handle ndarray. The `ArrayInterface` class is extended to support multi-dim array inputs. Previously this class handles only 2-dim (vector is also matrix). This PR specifies the expected dimension at compile-time and the array interface can perform various checks automatically for input data. Also, adapters like CSR are more rigorous about their input. Lastly, row vector and column vector are handled without intervention from the caller.
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@@ -11,21 +11,22 @@ TEST(ArrayInterface, Initialize) {
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size_t constexpr kRows = 10, kCols = 10;
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HostDeviceVector<float> storage;
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auto array = RandomDataGenerator{kRows, kCols, 0}.GenerateArrayInterface(&storage);
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auto arr_interface = ArrayInterface(array);
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ASSERT_EQ(arr_interface.num_rows, kRows);
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ASSERT_EQ(arr_interface.num_cols, kCols);
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auto arr_interface = ArrayInterface<2>(StringView{array});
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ASSERT_EQ(arr_interface.Shape(0), kRows);
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ASSERT_EQ(arr_interface.Shape(1), kCols);
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ASSERT_EQ(arr_interface.data, storage.ConstHostPointer());
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ASSERT_EQ(arr_interface.ElementSize(), 4);
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ASSERT_EQ(arr_interface.type, ArrayInterface::kF4);
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ASSERT_EQ(arr_interface.type, ArrayInterfaceHandler::kF4);
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HostDeviceVector<size_t> u64_storage(storage.Size());
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std::string u64_arr_str;
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Json::Dump(GetArrayInterface(&u64_storage, kRows, kCols), &u64_arr_str);
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std::string u64_arr_str{linalg::TensorView<size_t const, 2>{
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u64_storage.ConstHostSpan(), {kRows, kCols}, GenericParameter::kCpuId}
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.ArrayInterfaceStr()};
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std::copy(storage.ConstHostVector().cbegin(), storage.ConstHostVector().cend(),
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u64_storage.HostSpan().begin());
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auto u64_arr = ArrayInterface{u64_arr_str};
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auto u64_arr = ArrayInterface<2>{u64_arr_str};
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ASSERT_EQ(u64_arr.ElementSize(), 8);
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ASSERT_EQ(u64_arr.type, ArrayInterface::kU8);
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ASSERT_EQ(u64_arr.type, ArrayInterfaceHandler::kU8);
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}
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TEST(ArrayInterface, Error) {
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@@ -38,23 +39,22 @@ TEST(ArrayInterface, Error) {
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Json(Boolean(false))};
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auto const& column_obj = get<Object>(column);
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std::pair<size_t, size_t> shape{kRows, kCols};
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std::string typestr{"<f4"};
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size_t n = kRows * kCols;
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// missing version
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EXPECT_THROW(ArrayInterfaceHandler::ExtractData(column_obj, shape),
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dmlc::Error);
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column["version"] = Integer(static_cast<Integer::Int>(1));
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EXPECT_THROW(ArrayInterfaceHandler::ExtractData(column_obj, n), dmlc::Error);
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column["version"] = 3;
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// missing data
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EXPECT_THROW(ArrayInterfaceHandler::ExtractData(column_obj, shape),
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EXPECT_THROW(ArrayInterfaceHandler::ExtractData(column_obj, n),
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dmlc::Error);
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column["data"] = j_data;
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// missing typestr
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EXPECT_THROW(ArrayInterfaceHandler::ExtractData(column_obj, shape),
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EXPECT_THROW(ArrayInterfaceHandler::ExtractData(column_obj, n),
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dmlc::Error);
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column["typestr"] = String("<f4");
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// nullptr is not valid
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EXPECT_THROW(ArrayInterfaceHandler::ExtractData(column_obj, shape),
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EXPECT_THROW(ArrayInterfaceHandler::ExtractData(column_obj, n),
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dmlc::Error);
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HostDeviceVector<float> storage;
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@@ -63,22 +63,52 @@ TEST(ArrayInterface, Error) {
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Json(Integer(reinterpret_cast<Integer::Int>(storage.ConstHostPointer()))),
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Json(Boolean(false))};
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column["data"] = j_data;
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EXPECT_NO_THROW(ArrayInterfaceHandler::ExtractData(column_obj, shape));
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EXPECT_NO_THROW(ArrayInterfaceHandler::ExtractData(column_obj, n));
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}
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TEST(ArrayInterface, GetElement) {
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size_t kRows = 4, kCols = 2;
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HostDeviceVector<float> storage;
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auto intefrace_str = RandomDataGenerator{kRows, kCols, 0}.GenerateArrayInterface(&storage);
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ArrayInterface array_interface{intefrace_str};
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ArrayInterface<2> array_interface{intefrace_str};
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auto const& h_storage = storage.ConstHostVector();
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for (size_t i = 0; i < kRows; ++i) {
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for (size_t j = 0; j < kCols; ++j) {
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float v0 = array_interface.GetElement(i, j);
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float v0 = array_interface(i, j);
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float v1 = h_storage.at(i * kCols + j);
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ASSERT_EQ(v0, v1);
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}
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}
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}
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TEST(ArrayInterface, TrivialDim) {
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size_t kRows{1000}, kCols = 1;
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HostDeviceVector<float> storage;
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auto interface_str = RandomDataGenerator{kRows, kCols, 0}.GenerateArrayInterface(&storage);
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{
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ArrayInterface<1> arr_i{interface_str};
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ASSERT_EQ(arr_i.n, kRows);
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ASSERT_EQ(arr_i.Shape(0), kRows);
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}
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std::swap(kRows, kCols);
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interface_str = RandomDataGenerator{kRows, kCols, 0}.GenerateArrayInterface(&storage);
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{
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ArrayInterface<1> arr_i{interface_str};
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ASSERT_EQ(arr_i.n, kCols);
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ASSERT_EQ(arr_i.Shape(0), kCols);
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}
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}
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TEST(ArrayInterface, ToDType) {
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static_assert(ToDType<float>::kType == ArrayInterfaceHandler::kF4, "");
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static_assert(ToDType<double>::kType == ArrayInterfaceHandler::kF8, "");
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static_assert(ToDType<uint32_t>::kType == ArrayInterfaceHandler::kU4, "");
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static_assert(ToDType<uint64_t>::kType == ArrayInterfaceHandler::kU8, "");
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static_assert(ToDType<int32_t>::kType == ArrayInterfaceHandler::kI4, "");
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static_assert(ToDType<int64_t>::kType == ArrayInterfaceHandler::kI8, "");
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}
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} // namespace xgboost
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