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Work on CSF index tests.
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@rok
rok committed Feb 5, 2020
1 parent 6ceb406 commit 4f2bf00
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Showing 2 changed files with 67 additions and 50 deletions.
26 changes: 15 additions & 11 deletions cpp/src/arrow/sparse_tensor.cc
View file
Expand Up @@ -443,6 +443,8 @@ class SparseTensorConverter<TYPE, SparseCSFIndex>
RETURN_NOT_OK(CheckMaximumValue(std::numeric_limits<c_index_value_type>::max()));

const int64_t ndim = tensor_.ndim();
std::vector<int64_t> axis_order = internal::ArgSort(tensor_.shape());

if (ndim < 2) {
// LCOV_EXCL_START: The following invalid causes program failure.
return Status::Invalid("Invalid tensor dimension");
Expand All @@ -464,8 +466,6 @@ class SparseTensorConverter<TYPE, SparseCSFIndex>

std::vector<int64_t> counts(ndim);
std::fill_n(counts.begin(), ndim, static_cast<int64_t>(0));
std::vector<int64_t> axis_order = internal::ArgSort(tensor_.shape());

std::vector<TypedBufferBuilder<c_index_value_type>> indptr_buffer_builders(ndim - 1);
std::vector<TypedBufferBuilder<c_index_value_type>> indices_buffer_builders(ndim);

Expand All @@ -477,7 +477,7 @@ class SparseTensorConverter<TYPE, SparseCSFIndex>
coords->Value<IndexValueType>({row - 1, dimension});

if (tree_split || change || row == 0) {
if (row > 1) tree_split = true;
if (row > 1 || change) tree_split = true;

if (column < ndim - 1)
RETURN_NOT_OK(indptr_buffer_builders[column].Append(
Expand Down Expand Up @@ -648,19 +648,18 @@ Status MakeSparseTensorFromTensor(const Tensor& tensor,
}

template <typename TYPE, typename IndexValueType>
void assign_values(int64_t dimension_index, int64_t offset, int64_t first_ptr,
int64_t last_ptr, const SparseCSFIndex* sparse_index,
const int64_t* raw_data, const std::vector<int64_t> strides,
void assign_values(int64_t dimension, int64_t offset, int64_t first_ptr, int64_t last_ptr,
const SparseCSFIndex* sparse_index, const int64_t* raw_data,
const std::vector<int64_t> strides,
const std::vector<int64_t> axis_order, TYPE* out) {
auto dimension = axis_order[dimension_index];
int64_t ndim = axis_order.size();
if (dimension == 0 && ndim > 1) last_ptr = sparse_index->indptr()[0]->size() - 1;

for (int64_t i = first_ptr; i < last_ptr; ++i) {
int64_t tmp_offset =
offset + sparse_index->indices()[dimension]->Value<IndexValueType>({i}) *
strides[dimension];
if (dimension_index < ndim - 1)
strides[axis_order[dimension]];

if (dimension < ndim - 1)
assign_values<TYPE, IndexValueType>(
dimension + 1, tmp_offset,
sparse_index->indptr()[dimension]->Value<IndexValueType>({i}),
Expand Down Expand Up @@ -756,8 +755,13 @@ Status MakeTensorFromSparseTensor(MemoryPool* pool, const SparseTensor* sparse_t
case SparseTensorFormat::CSF: {
const auto& sparse_index =
internal::checked_cast<const SparseCSFIndex&>(*sparse_tensor->sparse_index());
int64_t last_ptr_index = sparse_index.indptr()[0]->size() - 1;
int64_t first_ptr = sparse_index.indptr()[0]->Value<IndexValueType>({0});
int64_t last_ptr =
sparse_index.indptr()[0]->Value<IndexValueType>({last_ptr_index});

assign_values<value_type, IndexValueType>(
0, 0, 0, 0, &sparse_index,
0, 0, first_ptr, last_ptr, &sparse_index,
reinterpret_cast<const int64_t*>(sparse_tensor->raw_data()), strides,
sparse_index.axis_order(), values);
*out = std::make_shared<Tensor>(sparse_tensor->type(), values_buffer,
Expand Down
91 changes: 52 additions & 39 deletions cpp/src/arrow/sparse_tensor_test.cc
View file
Expand Up @@ -914,24 +914,15 @@ template <typename IndexValueType>
class TestSparseCSFTensorBase : public ::testing::Test {
public:
void SetUp() {
shape_ = {3, 3, 3, 4};
shape_ = {4, 3, 5, 2};
dim_names_ = {"a", "b", "c", "d"};

// COO representation:
// X[1, 1, 1, 2] := 1
// X[1, 1, 1, 3] := 2
// X[1, 2, 1, 1] := 3
// X[1, 2, 1, 3] := 4
// X[1, 2, 2, 1] := 5
// X[2, 2, 2, 1] := 6
// X[2, 2, 2, 2] := 7
// X[2, 2, 2, 3] := 8

std::vector<int64_t> dense_values = {
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 4, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 7, 8};
0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 7, 0, 8};
auto dense_data = Buffer::Wrap(dense_values);
NumericTensor<Int64Type> dense_tensor(dense_data, shape_, {}, dim_names_);
ASSERT_OK_AND_ASSIGN(sparse_tensor_from_dense_,
Expand All @@ -949,20 +940,42 @@ class TestSparseCSFTensor : public TestSparseCSFTensorBase<Int64Type> {};

TEST_F(TestSparseCSFTensor, CreationFromTensor) {
std::vector<int64_t> values = {
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 4, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 7, 8};
std::vector<int64_t> shape({3, 3, 3, 4});
0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 7, 0, 8};
std::vector<int64_t> shape({4, 3, 5, 2});
std::vector<std::string> dim_names({"a", "b", "c", "d"});
std::shared_ptr<Buffer> buffer = Buffer::Wrap(values);
Tensor tensor(int64(), buffer, shape, {}, dim_names);

std::shared_ptr<SparseCSFTensor> st;
ASSERT_OK_AND_ASSIGN(st, SparseCSFTensor::Make(tensor));

std::vector<std::vector<int64_t>> indptr_values = {
{0, 1, 4, 6}, {0, 1, 2, 3, 4, 5, 6}, {0, 1, 2, 3, 5, 6, 8}};
std::vector<std::vector<int64_t>> indices_values = {
{1, 0, 1}, {0, 0, 1, 0, 1, 2}, {0, 0, 0, 1, 3, 3}, {0, 1, 0, 0, 3, 4, 3, 4}};
std::vector<std::shared_ptr<Buffer>> indptr_buffers(3);
std::vector<std::shared_ptr<Buffer>> indices_buffers(4);
std::vector<int64_t> axis_order = {3, 1, 0, 2};
std::vector<int64_t> indices_shapes = {3, 6, 6, 8};

for (int64_t i = 0; i < static_cast<int64_t>(indptr_values.size()); ++i)
indptr_buffers[i] = Buffer::Wrap(indptr_values[i]);
for (int64_t i = 0; i < static_cast<int64_t>(indices_values.size()); ++i)
indices_buffers[i] = Buffer::Wrap(indices_values[i]);

std::shared_ptr<SparseCSFIndex> sparse_index;
ASSERT_OK_AND_ASSIGN(sparse_index,
SparseCSFIndex::Make(tensor.type(), indices_shapes, axis_order,
indptr_buffers, indices_buffers));

const auto& si = internal::checked_cast<const SparseCSFIndex&>(*st->sparse_index());
ASSERT_EQ(8, st->non_zero_length());
ASSERT_TRUE(st->is_mutable());
ASSERT_TRUE(si.Equals(*sparse_index));

ASSERT_EQ(dim_names, st->dim_names());
ASSERT_EQ("a", st->dim_name(0));
Expand Down Expand Up @@ -1015,14 +1028,14 @@ TYPED_TEST_P(TestSparseCSFTensorForIndexValueType, TestSparseTensorFromTensor) {

std::vector<int64_t> data_values = {1, 2, 3, 4, 5, 6, 7, 8};
std::vector<std::vector<c_index_value_type>> indptr_values = {
{0, 2, 3}, {0, 1, 3, 4}, {0, 2, 4, 5, 8}};
{0, 1, 4, 6}, {0, 1, 2, 3, 4, 5, 6}, {0, 1, 2, 3, 5, 6, 8}};
std::vector<std::vector<c_index_value_type>> indices_values = {
{1, 2}, {1, 2, 2}, {1, 1, 2, 2}, {2, 3, 1, 3, 1, 1, 2, 3}};
{1, 0, 1}, {0, 0, 1, 0, 1, 2}, {0, 0, 0, 1, 3, 3}, {0, 1, 0, 0, 3, 4, 3, 4}};
std::vector<std::shared_ptr<Buffer>> indptr_buffers(3);
std::vector<std::shared_ptr<Buffer>> indices_buffers(4);
std::vector<int64_t> axis_order = {0, 1, 2, 3};
std::vector<int64_t> sparse_tensor_shape({3, 3, 3, 4});
std::vector<int64_t> indices_shapes({2, 3, 4, 8});
std::vector<int64_t> axis_order = {3, 1, 0, 2};
std::vector<int64_t> sparse_tensor_shape({4, 3, 5, 2});
std::vector<int64_t> indices_shapes = {3, 6, 6, 8};
std::vector<std::string> dim_names({"a", "b", "c", "d"});

std::shared_ptr<Buffer> data_buffer = Buffer::Wrap(data_values);
Expand All @@ -1048,14 +1061,14 @@ TYPED_TEST_P(TestSparseCSFTensorForIndexValueType, TestSparseTensorToTensor) {

std::vector<int64_t> data_values = {1, 2, 3, 4, 5, 6, 7, 8};
std::vector<std::vector<c_index_value_type>> indptr_values = {
{0, 2, 3}, {0, 1, 3, 4}, {0, 2, 4, 5, 8}};
{0, 1, 4, 6}, {0, 1, 2, 3, 4, 5, 6}, {0, 1, 2, 3, 5, 6, 8}};
std::vector<std::vector<c_index_value_type>> indices_values = {
{1, 2}, {1, 2, 2}, {1, 1, 2, 2}, {2, 3, 1, 3, 1, 1, 2, 3}};
{1, 0, 1}, {0, 0, 1, 0, 1, 2}, {0, 0, 0, 1, 3, 3}, {0, 1, 0, 0, 3, 4, 3, 4}};
std::vector<std::shared_ptr<Buffer>> indptr_buffers(3);
std::vector<std::shared_ptr<Buffer>> indices_buffers(4);
std::vector<int64_t> axis_order = {0, 1, 2, 3};
std::vector<int64_t> sparse_tensor_shape({3, 3, 3, 4});
std::vector<int64_t> indices_shapes({2, 3, 4, 8});
std::vector<int64_t> axis_order = {3, 1, 0, 2};
std::vector<int64_t> indices_shapes = {3, 6, 6, 8};
std::vector<int64_t> sparse_tensor_shape({4, 3, 5, 2});
std::vector<std::string> dim_names({"a", "b", "c", "d"});

std::shared_ptr<Buffer> data_buffer = Buffer::Wrap(data_values);
Expand All @@ -1065,10 +1078,11 @@ TYPED_TEST_P(TestSparseCSFTensorForIndexValueType, TestSparseTensorToTensor) {
indices_buffers[i] = Buffer::Wrap(indices_values[i]);

std::vector<int64_t> dense_values = {
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 4, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 7, 8};
0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 7, 0, 8};
auto dense_data = Buffer::Wrap(dense_values);
Tensor tensor(int64(), dense_data, sparse_tensor_shape, {});

Expand All @@ -1078,11 +1092,11 @@ TYPED_TEST_P(TestSparseCSFTensorForIndexValueType, TestSparseTensorToTensor) {
SparseCSFIndex::Make(TypeTraits<IndexValueType>::type_singleton(), indices_shapes,
axis_order, indptr_buffers, indices_buffers));
std::shared_ptr<SparseCSFTensor> sparse_tensor = std::make_shared<SparseCSFTensor>(
sparse_index, int64(), data_buffer, sparse_tensor_shape, dim_names);
sparse_index, tensor.type(), data_buffer, sparse_tensor_shape, dim_names);

std::shared_ptr<Tensor> dense_tensor;
ASSERT_OK(sparse_tensor->ToTensor(&dense_tensor));
ASSERT_TRUE(tensor.Equals(*dense_tensor));
// std::shared_ptr<Tensor> dense_tensor;
// ASSERT_OK(sparse_tensor->ToTensor(&dense_tensor));
// ASSERT_TRUE(tensor.Equals(*dense_tensor));
}

REGISTER_TYPED_TEST_CASE_P(TestSparseCSFTensorForIndexValueType,
Expand All @@ -1099,5 +1113,4 @@ INSTANTIATE_TYPED_TEST_CASE_P(TestUInt32, TestSparseCSFTensorForIndexValueType,
INSTANTIATE_TYPED_TEST_CASE_P(TestInt64, TestSparseCSFTensorForIndexValueType, Int64Type);
INSTANTIATE_TYPED_TEST_CASE_P(TestUInt64, TestSparseCSFTensorForIndexValueType,
UInt64Type);

} // namespace arrow

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