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Update CAGRA serialization #1755

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Aug 21, 2023
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16 changes: 11 additions & 5 deletions cpp/include/raft/neighbors/cagra_serialize.cuh
Original file line number Diff line number Diff line change
Expand Up @@ -47,12 +47,16 @@ namespace raft::neighbors::cagra {
* @param[in] handle the raft handle
* @param[in] os output stream
* @param[in] index CAGRA index
* @param[in] include_dataset Whether or not to write out the dataset to the file.
*
*/
template <typename T, typename IdxT>
void serialize(raft::resources const& handle, std::ostream& os, const index<T, IdxT>& index)
void serialize(raft::resources const& handle,
std::ostream& os,
const index<T, IdxT>& index,
bool include_dataset = true)
{
detail::serialize(handle, os, index);
detail::serialize(handle, os, index, include_dataset);
}

/**
Expand All @@ -77,14 +81,16 @@ void serialize(raft::resources const& handle, std::ostream& os, const index<T, I
* @param[in] handle the raft handle
* @param[in] filename the file name for saving the index
* @param[in] index CAGRA index
* @param[in] include_dataset Whether or not to write out the dataset to the file.
*
*/
template <typename T, typename IdxT>
void serialize(raft::resources const& handle,
const std::string& filename,
const index<T, IdxT>& index)
const index<T, IdxT>& index,
bool include_dataset = true)
{
detail::serialize(handle, filename, index);
detail::serialize(handle, filename, index, include_dataset);
}

/**
Expand Down Expand Up @@ -158,4 +164,4 @@ namespace raft::neighbors::experimental::cagra {
using raft::neighbors::cagra::deserialize;
using raft::neighbors::cagra::serialize;

} // namespace raft::neighbors::experimental::cagra
} // namespace raft::neighbors::experimental::cagra
54 changes: 35 additions & 19 deletions cpp/include/raft/neighbors/detail/cagra/cagra_serialize.cuh
Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,7 @@

namespace raft::neighbors::cagra::detail {

// Serialization version 1.
constexpr int serialization_version = 2;
constexpr int serialization_version = 3;

// NB: we wrap this check in a struct, so that the updated RealSize is easy to see in the error
// message.
Expand All @@ -50,41 +49,53 @@ template struct check_index_layout<sizeof(index<double, std::uint64_t>), expecte
*
*/
template <typename T, typename IdxT>
void serialize(raft::resources const& res, std::ostream& os, const index<T, IdxT>& index_)
void serialize(raft::resources const& res,
std::ostream& os,
const index<T, IdxT>& index_,
bool include_dataset)
{
RAFT_LOG_DEBUG(
"Saving CAGRA index, size %zu, dim %u", static_cast<size_t>(index_.size()), index_.dim());

std::string dtype_string = raft::detail::numpy_serializer::get_numpy_dtype<T>().to_string();
dtype_string.resize(4);
os << dtype_string;

serialize_scalar(res, os, serialization_version);
serialize_scalar(res, os, index_.size());
serialize_scalar(res, os, index_.dim());
serialize_scalar(res, os, index_.graph_degree());
serialize_scalar(res, os, index_.metric());
auto dataset = index_.dataset();
// Remove padding before saving the dataset
auto host_dataset = make_host_matrix<T, int64_t>(dataset.extent(0), dataset.extent(1));
RAFT_CUDA_TRY(cudaMemcpy2DAsync(host_dataset.data_handle(),
sizeof(T) * host_dataset.extent(1),
dataset.data_handle(),
sizeof(T) * dataset.stride(0),
sizeof(T) * host_dataset.extent(1),
dataset.extent(0),
cudaMemcpyDefault,
resource::get_cuda_stream(res)));
resource::sync_stream(res);
serialize_mdspan(res, os, host_dataset.view());
serialize_mdspan(res, os, index_.graph());

serialize_scalar(res, os, include_dataset);
if (include_dataset) {
auto dataset = index_.dataset();
// Remove padding before saving the dataset
auto host_dataset = make_host_matrix<T, int64_t>(dataset.extent(0), dataset.extent(1));
RAFT_CUDA_TRY(cudaMemcpy2DAsync(host_dataset.data_handle(),
sizeof(T) * host_dataset.extent(1),
dataset.data_handle(),
sizeof(T) * dataset.stride(0),
sizeof(T) * host_dataset.extent(1),
dataset.extent(0),
cudaMemcpyDefault,
resource::get_cuda_stream(res)));
resource::sync_stream(res);
serialize_mdspan(res, os, host_dataset.view());
}
}

template <typename T, typename IdxT>
void serialize(raft::resources const& res,
const std::string& filename,
const index<T, IdxT>& index_)
const index<T, IdxT>& index_,
bool include_dataset)
{
std::ofstream of(filename, std::ios::out | std::ios::binary);
if (!of) { RAFT_FAIL("Cannot open file %s", filename.c_str()); }

detail::serialize(res, of, index_);
detail::serialize(res, of, index_, include_dataset);

of.close();
if (!of) { RAFT_FAIL("Error writing output %s", filename.c_str()); }
Expand All @@ -102,6 +113,9 @@ void serialize(raft::resources const& res,
template <typename T, typename IdxT>
auto deserialize(raft::resources const& res, std::istream& is) -> index<T, IdxT>
{
char dtype_string[4];
is.read(dtype_string, 4);

auto ver = deserialize_scalar<int>(res, is);
if (ver != serialization_version) {
RAFT_FAIL("serialization version mismatch, expected %d, got %d ", serialization_version, ver);
Expand All @@ -113,9 +127,11 @@ auto deserialize(raft::resources const& res, std::istream& is) -> index<T, IdxT>

auto dataset = raft::make_host_matrix<T, int64_t>(n_rows, dim);
auto graph = raft::make_host_matrix<IdxT, int64_t>(n_rows, graph_degree);
deserialize_mdspan(res, is, dataset.view());
deserialize_mdspan(res, is, graph.view());

bool has_dataset = deserialize_scalar<bool>(res, is);
if (has_dataset) { deserialize_mdspan(res, is, dataset.view()); }

return index<T, IdxT>(
res, metric, raft::make_const_mdspan(dataset.view()), raft::make_const_mdspan(graph.view()));
}
Expand Down
6 changes: 4 additions & 2 deletions cpp/include/raft_runtime/neighbors/cagra.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -56,14 +56,16 @@ namespace raft::runtime::neighbors::cagra {
raft::device_matrix_view<float, int64_t, row_major> distances); \
void serialize_file(raft::resources const& handle, \
const std::string& filename, \
const raft::neighbors::cagra::index<T, IdxT>& index); \
const raft::neighbors::cagra::index<T, IdxT>& index, \
bool include_dataset = true); \
\
void deserialize_file(raft::resources const& handle, \
const std::string& filename, \
raft::neighbors::cagra::index<T, IdxT>* index); \
void serialize(raft::resources const& handle, \
std::string& str, \
const raft::neighbors::cagra::index<T, IdxT>& index); \
const raft::neighbors::cagra::index<T, IdxT>& index, \
bool include_dataset = true); \
\
void deserialize(raft::resources const& handle, \
const std::string& str, \
Expand Down
10 changes: 6 additions & 4 deletions cpp/src/raft_runtime/neighbors/cagra_serialize.cu
Original file line number Diff line number Diff line change
Expand Up @@ -27,9 +27,10 @@ namespace raft::runtime::neighbors::cagra {
#define RAFT_INST_CAGRA_SERIALIZE(DTYPE) \
void serialize_file(raft::resources const& handle, \
const std::string& filename, \
const raft::neighbors::cagra::index<DTYPE, uint32_t>& index) \
const raft::neighbors::cagra::index<DTYPE, uint32_t>& index, \
bool include_dataset) \
{ \
raft::neighbors::cagra::serialize(handle, filename, index); \
raft::neighbors::cagra::serialize(handle, filename, index, include_dataset); \
}; \
\
void deserialize_file(raft::resources const& handle, \
Expand All @@ -41,10 +42,11 @@ namespace raft::runtime::neighbors::cagra {
}; \
void serialize(raft::resources const& handle, \
std::string& str, \
const raft::neighbors::cagra::index<DTYPE, uint32_t>& index) \
const raft::neighbors::cagra::index<DTYPE, uint32_t>& index, \
bool include_dataset) \
{ \
std::stringstream os; \
raft::neighbors::cagra::serialize(handle, os, index); \
raft::neighbors::cagra::serialize(handle, os, index, include_dataset); \
str = os.str(); \
} \
\
Expand Down
13 changes: 10 additions & 3 deletions cpp/test/neighbors/ann_cagra.cuh
Original file line number Diff line number Diff line change
Expand Up @@ -137,6 +137,7 @@ struct AnnCagraInputs {
int search_width;
raft::distance::DistanceType metric;
bool host_dataset;
bool include_serialized_dataset;
// std::optional<double>
double min_recall; // = std::nullopt;
};
Expand Down Expand Up @@ -217,9 +218,11 @@ class AnnCagraTest : public ::testing::TestWithParam<AnnCagraInputs> {
} else {
index = cagra::build<DataT, IdxT>(handle_, index_params, database_view);
};
cagra::serialize(handle_, "cagra_index", index);
cagra::serialize(handle_, "cagra_index", index, ps.include_serialized_dataset);
}

auto index = cagra::deserialize<DataT, IdxT>(handle_, "cagra_index");
if (!ps.include_serialized_dataset) { index.update_dataset(handle_, database_view); }

auto search_queries_view = raft::make_device_matrix_view<const DataT, int64_t>(
search_queries.data(), ps.n_queries, ps.dim);
Expand Down Expand Up @@ -340,9 +343,7 @@ class AnnCagraSortTest : public ::testing::TestWithParam<AnnCagraInputs> {

void SetUp() override
{
std::cout << "Resizing database: " << ps.n_rows * ps.dim << std::endl;
database.resize(((size_t)ps.n_rows) * ps.dim, handle_.get_stream());
std::cout << "Done.\nRuning rng" << std::endl;
raft::random::Rng r(1234ULL);
if constexpr (std::is_same<DataT, float>{}) {
GenerateRoundingErrorFreeDataset(database.data(), ps.n_rows, ps.dim, r, handle_.get_stream());
Expand Down Expand Up @@ -379,6 +380,7 @@ inline std::vector<AnnCagraInputs> generate_inputs()
{1},
{raft::distance::DistanceType::L2Expanded},
{false},
{true},
{0.995});

auto inputs2 = raft::util::itertools::product<AnnCagraInputs>(
Expand All @@ -393,6 +395,7 @@ inline std::vector<AnnCagraInputs> generate_inputs()
{1},
{raft::distance::DistanceType::L2Expanded},
{false},
{true},
{0.995});
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());
inputs2 =
Expand All @@ -407,6 +410,7 @@ inline std::vector<AnnCagraInputs> generate_inputs()
{1},
{raft::distance::DistanceType::L2Expanded},
{false},
{false},
{0.995});
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());

Expand All @@ -422,6 +426,7 @@ inline std::vector<AnnCagraInputs> generate_inputs()
{1},
{raft::distance::DistanceType::L2Expanded},
{false},
{true},
{0.995});
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());

Expand All @@ -437,6 +442,7 @@ inline std::vector<AnnCagraInputs> generate_inputs()
{1},
{raft::distance::DistanceType::L2Expanded},
{false, true},
{false},
{0.995});
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());

Expand All @@ -452,6 +458,7 @@ inline std::vector<AnnCagraInputs> generate_inputs()
{1},
{raft::distance::DistanceType::L2Expanded},
{false, true},
{true},
{0.995});
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());

Expand Down
24 changes: 24 additions & 0 deletions python/pylibraft/pylibraft/common/mdspan.pxd
Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,12 @@ from pylibraft.common.cpp.mdspan cimport (
from pylibraft.common.handle cimport device_resources
from pylibraft.common.optional cimport make_optional, optional

# Cython doesn't like `const float` inside template parameters
# hack around this with using typedefs
ctypedef const float const_float
ctypedef const int8_t const_int8_t
ctypedef const uint8_t const_uint8_t


cdef device_matrix_view[float, int64_t, row_major] get_dmv_float(
array, check_shape) except *
Expand All @@ -49,6 +55,15 @@ cdef optional[device_matrix_view[int64_t, int64_t, row_major]] make_optional_vie
cdef device_matrix_view[uint32_t, int64_t, row_major] get_dmv_uint32(
array, check_shape) except *

cdef device_matrix_view[const_float, int64_t, row_major] get_const_dmv_float(
array, check_shape) except *

cdef device_matrix_view[const_uint8_t, int64_t, row_major] get_const_dmv_uint8(
array, check_shape) except *

cdef device_matrix_view[const_int8_t, int64_t, row_major] get_const_dmv_int8(
array, check_shape) except *

cdef host_matrix_view[float, int64_t, row_major] get_hmv_float(
array, check_shape) except *

Expand All @@ -63,3 +78,12 @@ cdef host_matrix_view[int64_t, int64_t, row_major] get_hmv_int64(

cdef host_matrix_view[uint32_t, int64_t, row_major] get_hmv_uint32(
array, check_shape) except *

cdef host_matrix_view[const_float, int64_t, row_major] get_const_hmv_float(
array, check_shape) except *

cdef host_matrix_view[const_uint8_t, int64_t, row_major] get_const_hmv_uint8(
array, check_shape) except *

cdef host_matrix_view[const_int8_t, int64_t, row_major] get_const_hmv_int8(
array, check_shape) except *
67 changes: 66 additions & 1 deletion python/pylibraft/pylibraft/common/mdspan.pyx
Original file line number Diff line number Diff line change
Expand Up @@ -193,6 +193,39 @@ cdef device_matrix_view[int64_t, int64_t, row_major] \
<int64_t*><uintptr_t>cai.data, shape[0], shape[1])


cdef device_matrix_view[const_float, int64_t, row_major] \
get_const_dmv_float(cai, check_shape) except *:
if cai.dtype != np.float32:
raise TypeError("dtype %s not supported" % cai.dtype)
if check_shape and len(cai.shape) != 2:
raise ValueError("Expected a 2D array, got %d D" % len(cai.shape))
shape = (cai.shape[0], cai.shape[1] if len(cai.shape) == 2 else 1)
return make_device_matrix_view[const_float, int64_t, row_major](
<const float*><uintptr_t>cai.data, shape[0], shape[1])


cdef device_matrix_view[const_uint8_t, int64_t, row_major] \
get_const_dmv_uint8(cai, check_shape) except *:
if cai.dtype != np.uint8:
raise TypeError("dtype %s not supported" % cai.dtype)
if check_shape and len(cai.shape) != 2:
raise ValueError("Expected a 2D array, got %d D" % len(cai.shape))
shape = (cai.shape[0], cai.shape[1] if len(cai.shape) == 2 else 1)
return make_device_matrix_view[const_uint8_t, int64_t, row_major](
<const uint8_t*><uintptr_t>cai.data, shape[0], shape[1])


cdef device_matrix_view[const_int8_t, int64_t, row_major] \
get_const_dmv_int8(cai, check_shape) except *:
if cai.dtype != np.int8:
raise TypeError("dtype %s not supported" % cai.dtype)
if check_shape and len(cai.shape) != 2:
raise ValueError("Expected a 2D array, got %d D" % len(cai.shape))
shape = (cai.shape[0], cai.shape[1] if len(cai.shape) == 2 else 1)
return make_device_matrix_view[const_int8_t, int64_t, row_major](
<const int8_t*><uintptr_t>cai.data, shape[0], shape[1])


cdef optional[device_matrix_view[int64_t, int64_t, row_major]] \
make_optional_view_int64(device_matrix_view[int64_t, int64_t, row_major]& dmv) except *: # noqa: E501
return make_optional[device_matrix_view[int64_t, int64_t, row_major]](dmv)
Expand Down Expand Up @@ -222,7 +255,6 @@ cdef host_matrix_view[float, int64_t, row_major] \
return make_host_matrix_view[float, int64_t, row_major](
<float*><uintptr_t>cai.data, shape[0], shape[1])


cdef host_matrix_view[uint8_t, int64_t, row_major] \
get_hmv_uint8(cai, check_shape) except *:
if cai.dtype != np.uint8:
Expand Down Expand Up @@ -265,3 +297,36 @@ cdef host_matrix_view[uint32_t, int64_t, row_major] \
shape = (cai.shape[0], cai.shape[1] if len(cai.shape) == 2 else 1)
return make_host_matrix_view[uint32_t, int64_t, row_major](
<uint32_t*><uintptr_t>cai.data, shape[0], shape[1])


cdef host_matrix_view[const_float, int64_t, row_major] \
get_const_hmv_float(cai, check_shape) except *:
if cai.dtype != np.float32:
raise TypeError("dtype %s not supported" % cai.dtype)
if check_shape and len(cai.shape) != 2:
raise ValueError("Expected a 2D array, got %d D" % len(cai.shape))
shape = (cai.shape[0], cai.shape[1] if len(cai.shape) == 2 else 1)
return make_host_matrix_view[const_float, int64_t, row_major](
<const float*><uintptr_t>cai.data, shape[0], shape[1])


cdef host_matrix_view[const_uint8_t, int64_t, row_major] \
get_const_hmv_uint8(cai, check_shape) except *:
if cai.dtype != np.uint8:
raise TypeError("dtype %s not supported" % cai.dtype)
if check_shape and len(cai.shape) != 2:
raise ValueError("Expected a 2D array, got %d D" % len(cai.shape))
shape = (cai.shape[0], cai.shape[1] if len(cai.shape) == 2 else 1)
return make_host_matrix_view[const_uint8_t, int64_t, row_major](
<const uint8_t*><uintptr_t>cai.data, shape[0], shape[1])


cdef host_matrix_view[const_int8_t, int64_t, row_major] \
get_const_hmv_int8(cai, check_shape) except *:
if cai.dtype != np.int8:
raise TypeError("dtype %s not supported" % cai.dtype)
if check_shape and len(cai.shape) != 2:
raise ValueError("Expected a 2D array, got %d D" % len(cai.shape))
shape = (cai.shape[0], cai.shape[1] if len(cai.shape) == 2 else 1)
return make_host_matrix_view[const_int8_t, int64_t, row_major](
<const_int8_t*><uintptr_t>cai.data, shape[0], shape[1])
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