Support RAFT from python (#2864)

Summary:
Pull Request resolved: #2864

Adds use_raft to the cloner options.
Adds tests for the python interface.

Also continue cleanup of data structures to set default arguments.
Add flags GPU and NVIDIA_RAFT to get_compile_options()

Reviewed By: algoriddle

Differential Revision: D45943372

fbshipit-source-id: 3428b24d309e9facfb4ebcf0d2d108dccfb4ad01

faiss/gpu/GpuCloner.cpp

@@ -121,6 +121,7 @@ Index* ToGpuCloner::clone_Index(const Index* index) {
         GpuIndexFlatConfig config;
         config.device = device;
         config.useFloat16 = useFloat16;
+        config.use_raft = use_raft;
         return new GpuIndexFlat(provider, ifl, config);
     } else if (
             dynamic_cast<const IndexScalarQuantizer*>(index) &&
@@ -129,6 +130,8 @@ Index* ToGpuCloner::clone_Index(const Index* index) {
         GpuIndexFlatConfig config;
         config.device = device;
         config.useFloat16 = true;
+        FAISS_THROW_IF_NOT_MSG(
+                !use_raft, "this type of index is not implemented for RAFT");
         GpuIndexFlat* gif = new GpuIndexFlat(
                 provider, index->d, index->metric_type, config);
         // transfer data by blocks
@@ -146,6 +149,8 @@ Index* ToGpuCloner::clone_Index(const Index* index) {
         config.device = device;
         config.indicesOptions = indicesOptions;
         config.flatConfig.useFloat16 = useFloat16CoarseQuantizer;
+        FAISS_THROW_IF_NOT_MSG(
+                !use_raft, "this type of index is not implemented for RAFT");
 
         GpuIndexIVFFlat* res = new GpuIndexIVFFlat(
                 provider, ifl->d, ifl->nlist, ifl->metric_type, config);
@@ -162,6 +167,8 @@ Index* ToGpuCloner::clone_Index(const Index* index) {
         config.device = device;
         config.indicesOptions = indicesOptions;
         config.flatConfig.useFloat16 = useFloat16CoarseQuantizer;
+        FAISS_THROW_IF_NOT_MSG(
+                !use_raft, "this type of index is not implemented for RAFT");
 
         GpuIndexIVFScalarQuantizer* res = new GpuIndexIVFScalarQuantizer(
                 provider,
@@ -194,6 +201,8 @@ Index* ToGpuCloner::clone_Index(const Index* index) {
         config.flatConfig.useFloat16 = useFloat16CoarseQuantizer;
         config.useFloat16LookupTables = useFloat16;
         config.usePrecomputedTables = usePrecomputed;
+        FAISS_THROW_IF_NOT_MSG(
+                !use_raft, "this type of index is not implemented for RAFT");
 
         GpuIndexIVFPQ* res = new GpuIndexIVFPQ(provider, ipq, config);
 

faiss/gpu/GpuClonerOptions.h

@@ -36,6 +36,9 @@ struct GpuClonerOptions {
 
     /// Set verbose options on the index
     bool verbose = false;
+
+    /// use the RAFT implementation
+    bool use_raft = false;
 };
 
 struct GpuMultipleClonerOptions : public GpuClonerOptions {

faiss/gpu/GpuDistance.h

@@ -28,44 +28,24 @@ enum class IndicesDataType {
 
 /// Arguments to brute-force GPU k-nearest neighbor searching
 struct GpuDistanceParams {
-    GpuDistanceParams()
-            : metric(faiss::MetricType::METRIC_L2),
-              metricArg(0),
-              k(0),
-              dims(0),
-              vectors(nullptr),
-              vectorType(DistanceDataType::F32),
-              vectorsRowMajor(true),
-              numVectors(0),
-              vectorNorms(nullptr),
-              queries(nullptr),
-              queryType(DistanceDataType::F32),
-              queriesRowMajor(true),
-              numQueries(0),
-              outDistances(nullptr),
-              ignoreOutDistances(false),
-              outIndicesType(IndicesDataType::I64),
-              outIndices(nullptr),
-              device(-1) {}
-
     //
     // Search parameters
     //
 
     /// Search parameter: distance metric
-    faiss::MetricType metric;
+    faiss::MetricType metric = METRIC_L2;
 
     /// Search parameter: distance metric argument (if applicable)
     /// For metric == METRIC_Lp, this is the p-value
-    float metricArg;
+    float metricArg = 0;
 
     /// Search parameter: return k nearest neighbors
     /// If the value provided is -1, then we report all pairwise distances
     /// without top-k filtering
-    int k;
+    int k = 0;
 
     /// Vector dimensionality
-    int dims;
+    int dims = 0;
 
     //
     // Vectors being queried
@@ -74,14 +54,14 @@ struct GpuDistanceParams {
     /// If vectorsRowMajor is true, this is
     /// numVectors x dims, with dims innermost; otherwise,
     /// dims x numVectors, with numVectors innermost
-    const void* vectors;
-    DistanceDataType vectorType;
-    bool vectorsRowMajor;
-    idx_t numVectors;
+    const void* vectors = nullptr;
+    DistanceDataType vectorType = DistanceDataType::F32;
+    bool vectorsRowMajor = true;
+    idx_t numVectors = 0;
 
     /// Precomputed L2 norms for each vector in `vectors`, which can be
     /// optionally provided in advance to speed computation for METRIC_L2
-    const float* vectorNorms;
+    const float* vectorNorms = nullptr;
 
     //
     // The query vectors (i.e., find k-nearest neighbors in `vectors` for each
@@ -91,10 +71,10 @@ struct GpuDistanceParams {
     /// If queriesRowMajor is true, this is
     /// numQueries x dims, with dims innermost; otherwise,
     /// dims x numQueries, with numQueries innermost
-    const void* queries;
-    DistanceDataType queryType;
-    bool queriesRowMajor;
-    idx_t numQueries;
+    const void* queries = nullptr;
+    DistanceDataType queryType = DistanceDataType::F32;
+    bool queriesRowMajor = true;
+    idx_t numQueries = 0;
 
     //
     // Output results
@@ -103,16 +83,16 @@ struct GpuDistanceParams {
     /// A region of memory size numQueries x k, with k
     /// innermost (row major) if k > 0, or if k == -1, a region of memory of
     /// size numQueries x numVectors
-    float* outDistances;
+    float* outDistances = nullptr;
 
     /// Do we only care about the indices reported, rather than the output
     /// distances? Not used if k == -1 (all pairwise distances)
-    bool ignoreOutDistances;
+    bool ignoreOutDistances = false;
 
     /// A region of memory size numQueries x k, with k
     /// innermost (row major). Not used if k == -1 (all pairwise distances)
-    IndicesDataType outIndicesType;
-    void* outIndices;
+    IndicesDataType outIndicesType = IndicesDataType::I64;
+    void* outIndices = nullptr;
 
     //
     // Execution information
@@ -123,7 +103,7 @@ struct GpuDistanceParams {
     /// (via cudaGetDevice/cudaSetDevice) is used
     /// Otherwise, an integer 0 <= device < numDevices indicates the device for
     /// execution
-    int device;
+    int device = -1;
 
     /// Should the index dispatch down to RAFT?
     bool use_raft = false;

faiss/gpu/GpuIndex.cu

@@ -514,4 +514,21 @@ bool isGpuIndexImplemented(faiss::Index* index) {
 }
 
 } // namespace gpu
+
+// This is the one defined in utils.cpp
+// Crossing fingers that the InitGpuCompileOptions_instance will
+// be instanciated after this global variable
+extern std::string gpu_compile_options;
+
+struct InitGpuCompileOptions {
+    InitGpuCompileOptions() {
+        gpu_compile_options = "GPU ";
+#ifdef USE_NVIDIA_RAFT
+        gpu_compile_options += "NVIDIA_RAFT ";
+#endif
+    }
+};
+
+InitGpuCompileOptions InitGpuCompileOptions_instance;
+
 } // namespace faiss

faiss/gpu/GpuIndex.h

@@ -29,15 +29,13 @@ namespace faiss {
 namespace gpu {
 
 struct GpuIndexConfig {
-    inline GpuIndexConfig() : device(0), memorySpace(MemorySpace::Device) {}
-
     /// GPU device on which the index is resident
-    int device;
+    int device = 0;
 
     /// What memory space to use for primary storage.
     /// On Pascal and above (CC 6+) architectures, allows GPUs to use
     /// more memory than is available on the GPU.
-    MemorySpace memorySpace;
+    MemorySpace memorySpace = MemorySpace::Device;
 
     /// Should the index dispatch down to RAFT?
     bool use_raft = false;

faiss/gpu/GpuIndexFlat.h

@@ -23,16 +23,15 @@ namespace gpu {
 
 class FlatIndex;
 
-struct GpuIndexFlatConfig : public GpuIndexConfig {
-    inline GpuIndexFlatConfig() : useFloat16(false) {}
 
+struct GpuIndexFlatConfig : public GpuIndexConfig {
     /// Whether or not data is stored as float16
-    bool useFloat16;
+    bool ALIGNED(8) useFloat16 = false;
 
     /// Deprecated: no longer used
     /// Previously used to indicate whether internal storage of vectors is
     /// transposed
-    bool storeTransposed;
+    bool storeTransposed = false;
 };
 
 /// Wrapper around the GPU implementation that looks like

faiss/gpu/GpuIndexIVF.h

@@ -21,10 +21,8 @@ class GpuIndexFlat;
 class IVFBase;
 
 struct GpuIndexIVFConfig : public GpuIndexConfig {
-    inline GpuIndexIVFConfig() : indicesOptions(INDICES_64_BIT) {}
-
     /// Index storage options for the GPU
-    IndicesOptions indicesOptions;
+    IndicesOptions indicesOptions = INDICES_64_BIT;
 
     /// Configuration for the coarse quantizer object
     GpuIndexFlatConfig flatConfig;

faiss/gpu/GpuIndexIVFFlat.h

@@ -21,11 +21,9 @@ class IVFFlat;
 class GpuIndexFlat;
 
 struct GpuIndexIVFFlatConfig : public GpuIndexIVFConfig {
-    inline GpuIndexIVFFlatConfig() : interleavedLayout(true) {}
-
     /// Use the alternative memory layout for the IVF lists
     /// (currently the default)
-    bool interleavedLayout;
+    bool interleavedLayout = true;
 };
 
 /// Wrapper around the GPU implementation that looks like

faiss/gpu/GpuIndexIVFPQ.h

@@ -23,24 +23,18 @@ class GpuIndexFlat;
 class IVFPQ;
 
 struct GpuIndexIVFPQConfig : public GpuIndexIVFConfig {
-    inline GpuIndexIVFPQConfig()
-            : useFloat16LookupTables(false),
-              usePrecomputedTables(false),
-              interleavedLayout(false),
-              useMMCodeDistance(false) {}
-
     /// Whether or not float16 residual distance tables are used in the
     /// list scanning kernels. When subQuantizers * 2^bitsPerCode >
     /// 16384, this is required.
-    bool useFloat16LookupTables;
+    bool useFloat16LookupTables = false;
 
     /// Whether or not we enable the precomputed table option for
     /// search, which can substantially increase the memory requirement.
-    bool usePrecomputedTables;
+    bool usePrecomputedTables = false;
 
     /// Use the alternative memory layout for the IVF lists
     /// WARNING: this is a feature under development, do not use!
-    bool interleavedLayout;
+    bool interleavedLayout = false;
 
     /// Use GEMM-backed computation of PQ code distances for the no precomputed
     /// table version of IVFPQ.
@@ -50,7 +44,7 @@ struct GpuIndexIVFPQConfig : public GpuIndexIVFConfig {
     /// Note that MM code distance is enabled automatically if one uses a number
     /// of dimensions per sub-quantizer that is not natively specialized (an odd
     /// number like 7 or so).
-    bool useMMCodeDistance;
+    bool useMMCodeDistance = false;
 };
 
 /// IVFPQ index for the GPU

faiss/gpu/GpuIndexIVFScalarQuantizer.h

@@ -18,11 +18,9 @@ class IVFFlat;
 class GpuIndexFlat;
 
 struct GpuIndexIVFScalarQuantizerConfig : public GpuIndexIVFConfig {
-    inline GpuIndexIVFScalarQuantizerConfig() : interleavedLayout(true) {}
-
     /// Use the alternative memory layout for the IVF lists
     /// (currently the default)
-    bool interleavedLayout;
+    bool interleavedLayout = true;
 };
 
 /// Wrapper around the GPU implementation that looks like

faiss/gpu/GpuResources.h

@@ -102,11 +102,7 @@ std::string memorySpaceToString(MemorySpace s);
 
 /// Information on what/where an allocation is
 struct AllocInfo {
-    inline AllocInfo()
-            : type(AllocType::Other),
-              device(0),
-              space(MemorySpace::Device),
-              stream(nullptr) {}
+    inline AllocInfo() {}
 
     inline AllocInfo(AllocType at, int dev, MemorySpace sp, cudaStream_t st)
             : type(at), device(dev), space(sp), stream(st) {}
@@ -115,13 +111,13 @@ struct AllocInfo {
     std::string toString() const;
 
     /// The internal category of the allocation
-    AllocType type;
+    AllocType type = AllocType::Other;
 
     /// The device on which the allocation is happening
-    int device;
+    int device = 0;
 
     /// The memory space of the allocation
-    MemorySpace space;
+    MemorySpace space = MemorySpace::Device;
 
     /// The stream on which new work on the memory will be ordered (e.g., if a
     /// piece of memory cached and to be returned for this call was last used on
@@ -131,7 +127,7 @@ struct AllocInfo {
     ///
     /// The memory manager guarantees that the returned memory is free to use
     /// without data races on this stream specified.
-    cudaStream_t stream;
+    cudaStream_t stream = nullptr;
 };
 
 /// Create an AllocInfo for the current device with MemorySpace::Device
@@ -145,7 +141,7 @@ AllocInfo makeSpaceAlloc(AllocType at, MemorySpace sp, cudaStream_t st);
 
 /// Information on what/where an allocation is, along with how big it should be
 struct AllocRequest : public AllocInfo {
-    inline AllocRequest() : AllocInfo(), size(0) {}
+    inline AllocRequest() {}
 
     inline AllocRequest(const AllocInfo& info, size_t sz)
             : AllocInfo(info), size(sz) {}
@@ -162,7 +158,7 @@ struct AllocRequest : public AllocInfo {
     std::string toString() const;
 
     /// The size in bytes of the allocation
-    size_t size;
+    size_t size = 0;
 };
 
 /// A RAII object that manages a temporary memory request

faiss/gpu/test/test_gpu_basics.py

@@ -426,3 +426,9 @@ def test_with_gpu(self):
         self.assertTrue(0.9 * err_rq0 < err_rq1 < 1.1 * err_rq0)
 
         # np.testing.assert_array_equal(codes0, codes1)
+
+
+class TestGpuFlags(unittest.TestCase):
+
+    def test_gpu_flag(self):
+        assert "GPU" in faiss.get_compile_options().split()