From 7961798a868b1775e7763a3dbe4e640322e4596d Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Fri, 14 Jun 2024 15:18:20 +0000 Subject: [PATCH 01/43] wip --- go/cuvs/bruteforce.go | 67 ++++++++++++++++++++++++++++++++++++++ go/cuvs/bruteforce_test.go | 33 +++++++++++++++++++ go/cuvs/dlpack.go | 64 ++++++++++++++++++++++++++++++++++++ go/cuvs/dlpack_test.go | 11 +++++++ go/cuvs/exceptions.go | 17 ++++++++++ go/cuvs/resources.go | 34 +++++++++++++++++++ go/go.mod | 3 ++ 7 files changed, 229 insertions(+) create mode 100644 go/cuvs/bruteforce.go create mode 100644 go/cuvs/bruteforce_test.go create mode 100644 go/cuvs/dlpack.go create mode 100644 go/cuvs/dlpack_test.go create mode 100644 go/cuvs/exceptions.go create mode 100644 go/cuvs/resources.go create mode 100644 go/go.mod diff --git a/go/cuvs/bruteforce.go b/go/cuvs/bruteforce.go new file mode 100644 index 000000000..a5a5a9068 --- /dev/null +++ b/go/cuvs/bruteforce.go @@ -0,0 +1,67 @@ +package common + +// #cgo CFLAGS: -I/usr/local/cuda/include -I/home/ajit/miniforge3/include +// #cgo LDFLAGS: -L/usr/local/cuda/lib64 -L/home/ajit/miniforge3/lib -lcudart -lcuvs -lcuvs_c +// #include +// #include +// #include +// #include +// #include +// #include +// #include +import "C" +import ( + "unsafe" +) + +type Index struct { + index C.cuvsBruteForceIndex_t + trained bool +} + +func CreateIndex() *Index { + + index := (C.cuvsBruteForceIndex_t)(C.malloc(C.size_t(unsafe.Sizeof(C.cuvsBruteForceIndex{})))) + + err := C.cuvsBruteForceIndexCreate(&index) + + CheckCuvs(err) + + return &Index{index: index, trained: false} + +} + +func DestroyIndex(index Index) { + err := C.cuvsBruteForceIndexDestroy(index.index) + CheckCuvs(err) + +} + +func BuildIndex(Resources C.cuvsResources_t, Dataset *C.DLManagedTensor, metric string, metric_arg float32, index C.cuvsBruteForceIndex_t) { + + // Data := unsafe.Pointer(Dataset) + + // C.cuvsRMMAlloc(Resources, &Data, 24) + + CMetric := C.cuvsDistanceType(0) + + switch metric { + case "L2Expanded": + CMetric = C.L2Expanded + default: + panic("Unsupported metric") + } + + CheckCuvs(C.cuvsBruteForceBuild(Resources, Dataset, CMetric, C.float(metric_arg), index)) + +} + +func SearchIndex(resources C.cuvsResources_t, index Index, queries *ManagedTensor, neighbors *ManagedTensor, distances *ManagedTensor) { + + if !index.trained { + panic("Index needs to be built before calling search.") + } + + CheckCuvs(C.cuvsBruteForceSearch(resources, index.index, queries, neighbors, distances)) + +} diff --git a/go/cuvs/bruteforce_test.go b/go/cuvs/bruteforce_test.go new file mode 100644 index 000000000..a9eab6fc4 --- /dev/null +++ b/go/cuvs/bruteforce_test.go @@ -0,0 +1,33 @@ +package common + +import ( + "testing" +) + +func TestBruteForce(t *testing.T) { + + resource := NewResource(nil) + + dataset := NewManagedTensor(true, []int{1, 1}, []float32{1, 2}) + + println(dataset.dl_tensor.dtype.code) + + index := CreateIndex() + + BuildIndex(resource.resource, dataset, "L2Expanded", 2.0, index.index) + + index.trained = true + + queries := NewManagedTensor(true, []int{1, 1}, []float32{1, 2}) + + neighbors := NewManagedTensor(true, []int{1, 1}, []float32{3, 3}) + + distances := NewManagedTensor(true, []int{1, 1}, []float32{1, 4}) + + SearchIndex(resource.resource, *index, queries, neighbors, distances) + + p := (*float32)(neighbors.dl_tensor.data) + + println(*p) + +} diff --git a/go/cuvs/dlpack.go b/go/cuvs/dlpack.go new file mode 100644 index 000000000..0d10f542c --- /dev/null +++ b/go/cuvs/dlpack.go @@ -0,0 +1,64 @@ +package common + +// #include +// #include +// #include // Replace with the actual header file containing DLManagedTensor +// void delete_tensor(DLManagedTensor *tensor){ +// free(tensor->dl_tensor.shape); +// tensor->manager_ctx = NULL; +// free(tensor); +// } +import "C" +import ( + "unsafe" +) + +type ManagedTensor = C.DLManagedTensor + +func NewManagedTensor(from_cai bool, shape []int, data []float32) *C.DLManagedTensor { + + if len(shape) < 2 { + panic("shape must be atleast 2") + } + + dlm := (*C.DLManagedTensor)(C.malloc(C.size_t(unsafe.Sizeof(C.DLManagedTensor{})))) + + if dlm == nil { + panic("memory allocation failed") + } + + var devicetype C.DLDeviceType + + if from_cai { + devicetype = C.kDLCUDA + } else { + devicetype = C.kDLCPU + } + + device := C.DLDevice{ + device_type: devicetype, + device_id: 0, + } + + dtype := C.DLDataType{ + bits: C.uchar(32), + lanes: C.ushort(1), + code: C.kDLFloat, + } + + dlm.dl_tensor.data = unsafe.Pointer(&data[0]) + + dlm.dl_tensor.device = device + + dlm.dl_tensor.dtype = dtype + dlm.dl_tensor.ndim = C.int(len(shape)) + dlm.dl_tensor.shape = (*C.int64_t)(unsafe.Pointer(&shape[0])) + dlm.dl_tensor.strides = nil + dlm.dl_tensor.byte_offset = 0 + + dlm.manager_ctx = nil + dlm.deleter = (*[0]byte)(C.delete_tensor) + + return dlm + +} diff --git a/go/cuvs/dlpack_test.go b/go/cuvs/dlpack_test.go new file mode 100644 index 000000000..90db2efbe --- /dev/null +++ b/go/cuvs/dlpack_test.go @@ -0,0 +1,11 @@ +package common + +import ( + "testing" +) + +func TestCreateNewTensor(t *testing.T) { + + // tensor := NewManagedTensor(false, []int{1}, []int32{1}) + +} diff --git a/go/cuvs/exceptions.go b/go/cuvs/exceptions.go new file mode 100644 index 000000000..424a958b3 --- /dev/null +++ b/go/cuvs/exceptions.go @@ -0,0 +1,17 @@ +package common + +// #cgo CFLAGS: -I/usr/local/cuda/include -I/home/ajit/miniforge3/include +// #cgo LDFLAGS: -L/usr/local/cuda/lib64 -L/home/ajit/miniforge3/lib -lcudart -lcudart -lcuvs +// #include +// #include +// #include +// #include +// #include +// #include +import "C" + +func CheckCuvs(error C.cuvsError_t) { + if error == C.CUVS_ERROR { + panic(C.GoString(C.cuvsGetLastErrorText())) + } +} diff --git a/go/cuvs/resources.go b/go/cuvs/resources.go new file mode 100644 index 000000000..3de738027 --- /dev/null +++ b/go/cuvs/resources.go @@ -0,0 +1,34 @@ +package common + +// #cgo CFLAGS: -I/usr/local/cuda/include -I/home/ajit/miniforge3/include +// #cgo LDFLAGS: -L/usr/local/cuda/lib64 -L/home/ajit/miniforge3/lib -lcudart -lcudart -lcuvs +// #include +// #include +// #include +// #include +// #include +// #include +// #include +import "C" + +type Resource struct { + resource C.cuvsResources_t +} + +// func NewResource() *Resource { +func NewResource(stream C.cudaStream_t) Resource { + + res := C.cuvsResources_t(0) + + CheckCuvs(C.cuvsResourcesCreate(&res)) + + if stream != nil { + CheckCuvs(C.cuvsStreamSet(res, stream)) + } + + return Resource{resource: res} +} + +func Sync(r C.cuvsResources_t) { + CheckCuvs(C.cuvsStreamSync(r)) +} diff --git a/go/go.mod b/go/go.mod new file mode 100644 index 000000000..8fd93c428 --- /dev/null +++ b/go/go.mod @@ -0,0 +1,3 @@ +module rapidsai/cuvs + +go 1.22.4 From 764dc1e9e1ece0dff60fbdc131c325b7cb67a578 Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Fri, 14 Jun 2024 18:41:27 +0000 Subject: [PATCH 02/43] cleanup --- go/cuvs/bruteforce.go | 8 ++++++-- go/cuvs/exceptions.go | 2 -- go/cuvs/resources.go | 2 -- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/go/cuvs/bruteforce.go b/go/cuvs/bruteforce.go index a5a5a9068..bfdfeaaf1 100644 --- a/go/cuvs/bruteforce.go +++ b/go/cuvs/bruteforce.go @@ -1,7 +1,5 @@ package common -// #cgo CFLAGS: -I/usr/local/cuda/include -I/home/ajit/miniforge3/include -// #cgo LDFLAGS: -L/usr/local/cuda/lib64 -L/home/ajit/miniforge3/lib -lcudart -lcuvs -lcuvs_c // #include // #include // #include @@ -19,10 +17,16 @@ type Index struct { trained bool } +// func (index *Index) Close() { +// // C.free(index.index) +// } + func CreateIndex() *Index { index := (C.cuvsBruteForceIndex_t)(C.malloc(C.size_t(unsafe.Sizeof(C.cuvsBruteForceIndex{})))) + // defer C.free(unsafe.Pointer(index)) + err := C.cuvsBruteForceIndexCreate(&index) CheckCuvs(err) diff --git a/go/cuvs/exceptions.go b/go/cuvs/exceptions.go index 424a958b3..d5638c6a3 100644 --- a/go/cuvs/exceptions.go +++ b/go/cuvs/exceptions.go @@ -1,7 +1,5 @@ package common -// #cgo CFLAGS: -I/usr/local/cuda/include -I/home/ajit/miniforge3/include -// #cgo LDFLAGS: -L/usr/local/cuda/lib64 -L/home/ajit/miniforge3/lib -lcudart -lcudart -lcuvs // #include // #include // #include diff --git a/go/cuvs/resources.go b/go/cuvs/resources.go index 3de738027..180aa7435 100644 --- a/go/cuvs/resources.go +++ b/go/cuvs/resources.go @@ -1,7 +1,5 @@ package common -// #cgo CFLAGS: -I/usr/local/cuda/include -I/home/ajit/miniforge3/include -// #cgo LDFLAGS: -L/usr/local/cuda/lib64 -L/home/ajit/miniforge3/lib -lcudart -lcudart -lcuvs // #include // #include // #include From b0fd0b1c416ae1870dd9b774f492fa417f0557e9 Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Wed, 19 Jun 2024 00:04:04 +0000 Subject: [PATCH 03/43] Added support for different data types and device allocation in NewManagedTensor function. --- .gitignore | 1 + examples/c/CMakeLists.txt | 2 + go/cuvs/bruteforce.go | 11 ++-- go/cuvs/bruteforce_test.go | 37 +++++++++++--- go/cuvs/dlpack.go | 101 +++++++++++++++++++++++++++++++++++-- go/cuvs/exceptions.go | 6 +++ go/cuvs/resources.go | 6 +++ 7 files changed, 148 insertions(+), 16 deletions(-) diff --git a/.gitignore b/.gitignore index 4b6f46320..ee82579f8 100644 --- a/.gitignore +++ b/.gitignore @@ -74,3 +74,4 @@ cagra_index ivf_flat_index ivf_pq_index +.aider* diff --git a/examples/c/CMakeLists.txt b/examples/c/CMakeLists.txt index fb508728f..3525f4f8b 100644 --- a/examples/c/CMakeLists.txt +++ b/examples/c/CMakeLists.txt @@ -13,6 +13,8 @@ cmake_minimum_required(VERSION 3.26.4 FATAL_ERROR) +set(CMAKE_CUDA_ARCHITECTURES 89) + # ------------- configure rapids-cmake --------------# include(../cmake/thirdparty/fetch_rapids.cmake) diff --git a/go/cuvs/bruteforce.go b/go/cuvs/bruteforce.go index bfdfeaaf1..7f6b14fe2 100644 --- a/go/cuvs/bruteforce.go +++ b/go/cuvs/bruteforce.go @@ -41,11 +41,11 @@ func DestroyIndex(index Index) { } -func BuildIndex(Resources C.cuvsResources_t, Dataset *C.DLManagedTensor, metric string, metric_arg float32, index C.cuvsBruteForceIndex_t) { +func BuildIndex(Resources C.cuvsResources_t, Dataset *C.DLManagedTensor, metric string, metric_arg float32, index *Index) { // Data := unsafe.Pointer(Dataset) - // C.cuvsRMMAlloc(Resources, &Data, 24) + // CheckCuvs(C.cuvsRMMAlloc(Resources, &Data, 2400)) CMetric := C.cuvsDistanceType(0) @@ -56,11 +56,14 @@ func BuildIndex(Resources C.cuvsResources_t, Dataset *C.DLManagedTensor, metric panic("Unsupported metric") } - CheckCuvs(C.cuvsBruteForceBuild(Resources, Dataset, CMetric, C.float(metric_arg), index)) + println(index.index.addr) + + CheckCuvs(C.cuvsBruteForceBuild(Resources, Dataset, CMetric, C.float(metric_arg), index.index)) + println(index.index.addr) } -func SearchIndex(resources C.cuvsResources_t, index Index, queries *ManagedTensor, neighbors *ManagedTensor, distances *ManagedTensor) { +func SearchIndex(resources C.cuvsResources_t, index Index, queries *C.DLManagedTensor, neighbors *C.DLManagedTensor, distances *C.DLManagedTensor) { if !index.trained { panic("Index needs to be built before calling search.") diff --git a/go/cuvs/bruteforce_test.go b/go/cuvs/bruteforce_test.go index a9eab6fc4..515dc57e5 100644 --- a/go/cuvs/bruteforce_test.go +++ b/go/cuvs/bruteforce_test.go @@ -8,23 +8,46 @@ func TestBruteForce(t *testing.T) { resource := NewResource(nil) - dataset := NewManagedTensor(true, []int{1, 1}, []float32{1, 2}) - + dataset := NewManagedTensor(true, []int{1, 2}, []float32{1, 2}, false) + bytes := GetBytes(dataset) + println("size:") + println(bytes) println(dataset.dl_tensor.dtype.code) index := CreateIndex() - BuildIndex(resource.resource, dataset, "L2Expanded", 2.0, index.index) + BuildIndex(resource.resource, dataset, "L2Expanded", 2.0, index) + println("got here") + + println("index created") index.trained = true - queries := NewManagedTensor(true, []int{1, 1}, []float32{1, 2}) + queries := NewManagedTensor(true, []int{1, 2}, []float32{1, 2}, false) + + neighbors := NewManagedTensor(true, []int{1, 1}, []int64{3, 3}, true) + + // distances := NewManagedTensor(true, []int{1, 1}, []float32{1, 4}, false) + + println("tensors created") + + println(queries.dl_tensor.data) + + queries_device := ToDevice(queries, &resource) + + println("queries tensor transferred") + + // neighbors_device := ToDevice(neighbors, &resource) + + // distances_device := ToDevice(distances, &resource) + + println(queries_device.dl_tensor.data) - neighbors := NewManagedTensor(true, []int{1, 1}, []float32{3, 3}) + println("tensors on device") - distances := NewManagedTensor(true, []int{1, 1}, []float32{1, 4}) + // SearchIndex(resource.resource, *index, queries_device, neighbors_device, distances_device) - SearchIndex(resource.resource, *index, queries, neighbors, distances) + println("search done") p := (*float32)(neighbors.dl_tensor.data) diff --git a/go/cuvs/dlpack.go b/go/cuvs/dlpack.go index 0d10f542c..250c0a5ae 100644 --- a/go/cuvs/dlpack.go +++ b/go/cuvs/dlpack.go @@ -8,6 +8,12 @@ package common // tensor->manager_ctx = NULL; // free(tensor); // } +// #include +// #include +// #include +// #include +// #include +// #include import "C" import ( "unsafe" @@ -15,7 +21,7 @@ import ( type ManagedTensor = C.DLManagedTensor -func NewManagedTensor(from_cai bool, shape []int, data []float32) *C.DLManagedTensor { +func NewManagedTensor[T any](from_cai bool, shape []int, data []T, use_int64 bool) *C.DLManagedTensor { if len(shape) < 2 { panic("shape must be atleast 2") @@ -40,10 +46,19 @@ func NewManagedTensor(from_cai bool, shape []int, data []float32) *C.DLManagedTe device_id: 0, } - dtype := C.DLDataType{ - bits: C.uchar(32), - lanes: C.ushort(1), - code: C.kDLFloat, + var dtype C.DLDataType + if use_int64 { + dtype = C.DLDataType{ + bits: C.uchar(64), + lanes: C.ushort(1), + code: C.kDLInt, + } + } else { + dtype = C.DLDataType{ + bits: C.uchar(32), + lanes: C.ushort(1), + code: C.kDLFloat, + } } dlm.dl_tensor.data = unsafe.Pointer(&data[0]) @@ -62,3 +77,79 @@ func NewManagedTensor(from_cai bool, shape []int, data []float32) *C.DLManagedTe return dlm } + +func GetBytes(t *C.DLManagedTensor) int { + bytes := 1 + + for dim := 0; dim < int(t.dl_tensor.ndim); dim++ { + offset := unsafe.Pointer(uintptr(unsafe.Pointer(t.dl_tensor.shape)) + uintptr(dim)*unsafe.Sizeof(*t.dl_tensor.shape)) + + // Convert the pointer to the correct type and dereference it to get the value + dimSize := *(*C.long)(offset) + + bytes *= int(dimSize) + } + bytes *= int(t.dl_tensor.dtype.bits / 8) + + return bytes +} + +func ToDevice(t *C.DLManagedTensor, res *Resource) *C.DLManagedTensor { + bytes := GetBytes(t) + + // device_data := &C.void{} + + var DeviceDataPointer unsafe.Pointer + // var DeviceDataPointerPointer *unsafe.Pointer = &DeviceDataPointer + // var deviceData *C.void = nil + println("host data location:") + println(t.dl_tensor.data) + println("device data pointer:") + println(DeviceDataPointer) + println("host data location:") + println(t.dl_tensor.data) + // t.dl_tensor.data = unsafe.Pointer(uintptr(t.dl_tensor.data) + uintptr(1200)) + // println("new host data location:") + // println(t.dl_tensor.data) + + // CheckCuvs(C.cuvsRMMAlloc(res.resource, &DeviceDataPointer, C.size_t(bytes))) + CheckCuda(C.cudaMalloc(&DeviceDataPointer, C.size_t(bytes))) + + println("device data pointer:") + println(DeviceDataPointer) + println(&DeviceDataPointer) + println("bytes:") + println(bytes) + // bytes = 0 + + hostData := make([]float32, 2) + + // Initialize host memory in Go + for i := range hostData { + hostData[i] = float32(i) + } + + println("host data:") + println(unsafe.Pointer(&hostData[0])) + + CheckCuda( + C.cudaMemcpy( + DeviceDataPointer, + // t.dl_tensor.data, + unsafe.Pointer(&hostData[0]), + // DeviceDataPointer, + // C.size_t(bytes), + C.size_t(bytes), + C.cudaMemcpyHostToDevice, + + // res.get_cuda_stream(), + // GetCudaStream(res.resource), + )) + + println("done") + + t.dl_tensor.data = DeviceDataPointer + + return t + +} diff --git a/go/cuvs/exceptions.go b/go/cuvs/exceptions.go index d5638c6a3..96773324b 100644 --- a/go/cuvs/exceptions.go +++ b/go/cuvs/exceptions.go @@ -13,3 +13,9 @@ func CheckCuvs(error C.cuvsError_t) { panic(C.GoString(C.cuvsGetLastErrorText())) } } + +func CheckCuda(error C.cudaError_t) { + if error != C.cudaSuccess { + panic(C.GoString(C.cudaGetErrorString(error))) + } +} diff --git a/go/cuvs/resources.go b/go/cuvs/resources.go index 180aa7435..c47ea7ba9 100644 --- a/go/cuvs/resources.go +++ b/go/cuvs/resources.go @@ -30,3 +30,9 @@ func NewResource(stream C.cudaStream_t) Resource { func Sync(r C.cuvsResources_t) { CheckCuvs(C.cuvsStreamSync(r)) } + +func GetCudaStream(r C.cuvsResources_t) C.cudaStream_t { + var stream C.cudaStream_t + CheckCuvs(C.cuvsStreamGet(r, &stream)) + return stream +} From b47cf5bc98eb4b03955f1d357ef3a93431fc9ad4 Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Wed, 19 Jun 2024 21:28:21 +0000 Subject: [PATCH 04/43] bruteforce works --- go/cuvs/bruteforce.go | 4 ++ go/cuvs/bruteforce_test.go | 63 ++++++++++++++++------------- go/cuvs/dlpack.go | 82 +++++++++++++++++++++++++++++++++----- 3 files changed, 110 insertions(+), 39 deletions(-) diff --git a/go/cuvs/bruteforce.go b/go/cuvs/bruteforce.go index 7f6b14fe2..53fd74181 100644 --- a/go/cuvs/bruteforce.go +++ b/go/cuvs/bruteforce.go @@ -43,6 +43,10 @@ func DestroyIndex(index Index) { func BuildIndex(Resources C.cuvsResources_t, Dataset *C.DLManagedTensor, metric string, metric_arg float32, index *Index) { + if Dataset.dl_tensor.device.device_type != C.kDLCUDA { + panic("Dataset must be on GPU") + } + // Data := unsafe.Pointer(Dataset) // CheckCuvs(C.cuvsRMMAlloc(Resources, &Data, 2400)) diff --git a/go/cuvs/bruteforce_test.go b/go/cuvs/bruteforce_test.go index 515dc57e5..bd2e103cf 100644 --- a/go/cuvs/bruteforce_test.go +++ b/go/cuvs/bruteforce_test.go @@ -1,56 +1,63 @@ package common import ( + "math/rand" "testing" + "time" + "unsafe" ) func TestBruteForce(t *testing.T) { resource := NewResource(nil) - dataset := NewManagedTensor(true, []int{1, 2}, []float32{1, 2}, false) - bytes := GetBytes(dataset) - println("size:") - println(bytes) - println(dataset.dl_tensor.dtype.code) + rand.Seed(time.Now().UnixNano()) - index := CreateIndex() - - BuildIndex(resource.resource, dataset, "L2Expanded", 2.0, index) - println("got here") - - println("index created") - - index.trained = true + NDataPoints := 16 + NFeatures := 8 - queries := NewManagedTensor(true, []int{1, 2}, []float32{1, 2}, false) + TestDataset := make([]float32, NDataPoints*NFeatures) + for index := range TestDataset { + TestDataset[index] = rand.Float32() + // TestDataset[index] = float32(index) + } - neighbors := NewManagedTensor(true, []int{1, 1}, []int64{3, 3}, true) + dataset := NewManagedTensor(true, []int{NDataPoints, NFeatures}, TestDataset, false) - // distances := NewManagedTensor(true, []int{1, 1}, []float32{1, 4}, false) - - println("tensors created") + index := CreateIndex() + // use the first 4 points from the dataset as queries : will test that we get them back + // as their own nearest neighbor - println(queries.dl_tensor.data) + NQueries := 4 + K := 4 + queries := NewManagedTensor(true, []int{NQueries, NFeatures}, TestDataset[:(NQueries*NFeatures)], false) + neighbors := NewManagedTensor(true, []int{NQueries, K}, make([]int64, NQueries*K), true) + distances := NewManagedTensor(true, []int{NQueries, K}, make([]float32, NQueries*K), false) - queries_device := ToDevice(queries, &resource) + ToDevice(neighbors, &resource) + ToDevice(distances, &resource) + ToDevice(dataset, &resource) - println("queries tensor transferred") + BuildIndex(resource.resource, dataset, "L2Expanded", 2.0, index) + Sync(resource.resource) - // neighbors_device := ToDevice(neighbors, &resource) + ToDevice(queries, &resource) - // distances_device := ToDevice(distances, &resource) + index.trained = true - println(queries_device.dl_tensor.data) + SearchIndex(resource.resource, *index, queries, neighbors, distances) - println("tensors on device") + ToHost(neighbors, &resource) + ToHost(distances, &resource) - // SearchIndex(resource.resource, *index, queries_device, neighbors_device, distances_device) + Sync(resource.resource) - println("search done") + p := (*int64)(unsafe.Pointer(uintptr(neighbors.dl_tensor.data) + uintptr(K*8*3))) - p := (*float32)(neighbors.dl_tensor.data) + d := (*float32)(distances.dl_tensor.data) println(*p) + println(*d) + } diff --git a/go/cuvs/dlpack.go b/go/cuvs/dlpack.go index 250c0a5ae..08e267894 100644 --- a/go/cuvs/dlpack.go +++ b/go/cuvs/dlpack.go @@ -35,11 +35,11 @@ func NewManagedTensor[T any](from_cai bool, shape []int, data []T, use_int64 boo var devicetype C.DLDeviceType - if from_cai { - devicetype = C.kDLCUDA - } else { - devicetype = C.kDLCPU - } + // if from_cai { + devicetype = C.kDLCUDA + // } else { + // devicetype = C.kDLCPU + // } device := C.DLDevice{ device_type: devicetype, @@ -94,7 +94,7 @@ func GetBytes(t *C.DLManagedTensor) int { return bytes } -func ToDevice(t *C.DLManagedTensor, res *Resource) *C.DLManagedTensor { +func ToDevice(t *C.DLManagedTensor, res *Resource) { bytes := GetBytes(t) // device_data := &C.void{} @@ -112,8 +112,8 @@ func ToDevice(t *C.DLManagedTensor, res *Resource) *C.DLManagedTensor { // println("new host data location:") // println(t.dl_tensor.data) - // CheckCuvs(C.cuvsRMMAlloc(res.resource, &DeviceDataPointer, C.size_t(bytes))) - CheckCuda(C.cudaMalloc(&DeviceDataPointer, C.size_t(bytes))) + CheckCuvs(C.cuvsRMMAlloc(res.resource, &DeviceDataPointer, C.size_t(bytes))) + // CheckCuda(C.cudaMalloc(&DeviceDataPointer, C.size_t(bytes))) println("device data pointer:") println(DeviceDataPointer) @@ -134,9 +134,11 @@ func ToDevice(t *C.DLManagedTensor, res *Resource) *C.DLManagedTensor { CheckCuda( C.cudaMemcpy( + // DeviceDataPointer, DeviceDataPointer, - // t.dl_tensor.data, - unsafe.Pointer(&hostData[0]), + // unsafe.Pointer(&hostData[0]), + t.dl_tensor.data, + // unsafe.Pointer(&hostData[0]), // DeviceDataPointer, // C.size_t(bytes), C.size_t(bytes), @@ -149,7 +151,65 @@ func ToDevice(t *C.DLManagedTensor, res *Resource) *C.DLManagedTensor { println("done") t.dl_tensor.data = DeviceDataPointer + println("normal transfer done") + // return t + +} + +func ToHost(t *C.DLManagedTensor, res *Resource) { + bytes := GetBytes(t) + + // var DeviceDataPointer unsafe.Pointer + + addr := (C.malloc(C.size_t(bytes))) + + // hostData := make([]float32, 2) + + CheckCuda( + C.cudaMemcpy( + // DeviceDataPointer, + addr, + // unsafe.Pointer(&hostData[0]), + t.dl_tensor.data, + // unsafe.Pointer(&hostData[0]), + // DeviceDataPointer, + // C.size_t(bytes), + C.size_t(bytes), + C.cudaMemcpyDeviceToHost, + + // res.get_cuda_stream(), + // GetCudaStream(res.resource), + )) + + t.dl_tensor.data = addr +} + +func TestCuda() { + + var DeviceDataPointer unsafe.Pointer + CheckCuda(C.cudaMalloc(&DeviceDataPointer, C.size_t(8))) + + array := make([]float32, 2) + + for i := range array { + array[i] = float32(i) + } + + CheckCuda( + C.cudaMemcpy( + // DeviceDataPointer, + DeviceDataPointer, + unsafe.Pointer(&array[0]), + // unsafe.Pointer(&hostData[0]), + // DeviceDataPointer, + // C.size_t(bytes), + C.size_t(8), + C.cudaMemcpyHostToDevice, + + // res.get_cuda_stream(), + // GetCudaStream(res.resource), + )) - return t + println("cuda test done") } From 1ec0c8c0512d30e3684ac887d60ad69b7ca43e1b Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Wed, 19 Jun 2024 23:23:50 +0000 Subject: [PATCH 05/43] refactor --- go/cuvs/bruteforce.go | 53 ++++++++----- go/cuvs/bruteforce_test.go | 70 +++++++++------- go/cuvs/dlpack.go | 159 +++++++++++++++++++++++-------------- go/cuvs/exceptions.go | 11 ++- go/cuvs/resources.go | 27 ++++--- 5 files changed, 198 insertions(+), 122 deletions(-) diff --git a/go/cuvs/bruteforce.go b/go/cuvs/bruteforce.go index 53fd74181..91042b02a 100644 --- a/go/cuvs/bruteforce.go +++ b/go/cuvs/bruteforce.go @@ -9,6 +9,7 @@ package common // #include import "C" import ( + "errors" "unsafe" ) @@ -21,58 +22,66 @@ type Index struct { // // C.free(index.index) // } -func CreateIndex() *Index { +func CreateIndex() (*Index, error) { index := (C.cuvsBruteForceIndex_t)(C.malloc(C.size_t(unsafe.Sizeof(C.cuvsBruteForceIndex{})))) - // defer C.free(unsafe.Pointer(index)) + if index == nil { + return nil, errors.New("memory allocation failed") + } - err := C.cuvsBruteForceIndexCreate(&index) + err := CheckCuvs(C.cuvsBruteForceIndexCreate(&index)) - CheckCuvs(err) + if err != nil { + return nil, err + } - return &Index{index: index, trained: false} + return &Index{index: index, trained: false}, nil } -func DestroyIndex(index Index) { - err := C.cuvsBruteForceIndexDestroy(index.index) - CheckCuvs(err) - +func (index *Index) Close() error { + err := CheckCuvs(C.cuvsBruteForceIndexDestroy(index.index)) + if err != nil { + return err + } + // TODO free memory + return nil } -func BuildIndex(Resources C.cuvsResources_t, Dataset *C.DLManagedTensor, metric string, metric_arg float32, index *Index) { +func BuildIndex[T any](Resources C.cuvsResources_t, Dataset *Tensor[T], metric string, metric_arg float32, index *Index) error { - if Dataset.dl_tensor.device.device_type != C.kDLCUDA { - panic("Dataset must be on GPU") + if Dataset.c_tensor.dl_tensor.device.device_type != C.kDLCUDA { + return errors.New("dataset must be on GPU") } - // Data := unsafe.Pointer(Dataset) - - // CheckCuvs(C.cuvsRMMAlloc(Resources, &Data, 2400)) - CMetric := C.cuvsDistanceType(0) switch metric { case "L2Expanded": CMetric = C.L2Expanded default: - panic("Unsupported metric") + return errors.New("unsupported metric") } println(index.index.addr) - CheckCuvs(C.cuvsBruteForceBuild(Resources, Dataset, CMetric, C.float(metric_arg), index.index)) - println(index.index.addr) + err := CheckCuvs(C.cuvsBruteForceBuild(Resources, Dataset.c_tensor, CMetric, C.float(metric_arg), index.index)) + if err != nil { + return err + } + index.trained = true + + return nil } -func SearchIndex(resources C.cuvsResources_t, index Index, queries *C.DLManagedTensor, neighbors *C.DLManagedTensor, distances *C.DLManagedTensor) { +func SearchIndex[T any](resources C.cuvsResources_t, index Index, queries *Tensor[T], neighbors *Tensor[int64], distances *Tensor[T]) error { if !index.trained { - panic("Index needs to be built before calling search.") + return errors.New("index needs to be built before calling search") } - CheckCuvs(C.cuvsBruteForceSearch(resources, index.index, queries, neighbors, distances)) + return CheckCuvs(C.cuvsBruteForceSearch(resources, index.index, queries.c_tensor, neighbors.c_tensor, distances.c_tensor)) } diff --git a/go/cuvs/bruteforce_test.go b/go/cuvs/bruteforce_test.go index bd2e103cf..2ec986632 100644 --- a/go/cuvs/bruteforce_test.go +++ b/go/cuvs/bruteforce_test.go @@ -4,60 +4,76 @@ import ( "math/rand" "testing" "time" - "unsafe" ) func TestBruteForce(t *testing.T) { - resource := NewResource(nil) + resource, _ := NewResource(nil) rand.Seed(time.Now().UnixNano()) NDataPoints := 16 NFeatures := 8 - TestDataset := make([]float32, NDataPoints*NFeatures) - for index := range TestDataset { - TestDataset[index] = rand.Float32() - // TestDataset[index] = float32(index) + TestDataset := make([][]float32, NDataPoints) + for i := range TestDataset { + TestDataset[i] = make([]float32, NFeatures) + for j := range TestDataset[i] { + TestDataset[i][j] = rand.Float32() + } } - dataset := NewManagedTensor(true, []int{NDataPoints, NFeatures}, TestDataset, false) + dataset, _ := NewTensor(true, TestDataset) - index := CreateIndex() + index, _ := CreateIndex() + defer index.Close() // use the first 4 points from the dataset as queries : will test that we get them back // as their own nearest neighbor NQueries := 4 K := 4 - queries := NewManagedTensor(true, []int{NQueries, NFeatures}, TestDataset[:(NQueries*NFeatures)], false) - neighbors := NewManagedTensor(true, []int{NQueries, K}, make([]int64, NQueries*K), true) - distances := NewManagedTensor(true, []int{NQueries, K}, make([]float32, NQueries*K), false) + queries, _ := NewTensor(true, TestDataset[:NQueries]) + NeighborsDataset := make([][]int64, NQueries) + for i := range NeighborsDataset { + NeighborsDataset[i] = make([]int64, K) + } + DistancesDataset := make([][]float32, NQueries) + for i := range DistancesDataset { + DistancesDataset[i] = make([]float32, K) + } + neighbors, _ := NewTensor(true, NeighborsDataset) + distances, _ := NewTensor(true, DistancesDataset) - ToDevice(neighbors, &resource) - ToDevice(distances, &resource) - ToDevice(dataset, &resource) + neighbors.ToDevice(&resource) + distances.ToDevice(&resource) + dataset.ToDevice(&resource) - BuildIndex(resource.resource, dataset, "L2Expanded", 2.0, index) + BuildIndex(resource.resource, &dataset, "L2Expanded", 2.0, index) Sync(resource.resource) - ToDevice(queries, &resource) + queries.ToDevice(&resource) - index.trained = true + SearchIndex(resource.resource, *index, &queries, &neighbors, &distances) - SearchIndex(resource.resource, *index, queries, neighbors, distances) - - ToHost(neighbors, &resource) - ToHost(distances, &resource) + neighbors.ToHost(&resource) + distances.ToHost(&resource) Sync(resource.resource) - p := (*int64)(unsafe.Pointer(uintptr(neighbors.dl_tensor.data) + uintptr(K*8*3))) - - d := (*float32)(distances.dl_tensor.data) - - println(*p) + // p := (*int64)(unsafe.Pointer(uintptr(neighbors.c_tensor.dl_tensor.data) + uintptr(K*8*3))) + arr, _ := neighbors.GetArray() + for i := range arr { + println(arr[i][0]) + if arr[i][0] != int64(i) { + t.Error("wrong neighbor, expected", i, "got", arr[i][0]) + } + } - println(*d) + arr_dist, _ := distances.GetArray() + for i := range arr_dist { + if arr_dist[i][0] >= float32(0.001) || arr_dist[i][0] <= float32(-0.001) { + t.Error("wrong distance, expected", float32(i), "got", arr_dist[i][0]) + } + } } diff --git a/go/cuvs/dlpack.go b/go/cuvs/dlpack.go index 08e267894..0aa0b94d3 100644 --- a/go/cuvs/dlpack.go +++ b/go/cuvs/dlpack.go @@ -16,52 +16,64 @@ package common // #include import "C" import ( + "errors" "unsafe" ) -type ManagedTensor = C.DLManagedTensor +// type ManagedTensor = C.DLManagedTensor -func NewManagedTensor[T any](from_cai bool, shape []int, data []T, use_int64 bool) *C.DLManagedTensor { +type Tensor[T any] struct { + c_tensor *C.DLManagedTensor +} + +// func NewTensor[T any](from_cai bool, shape []int, data []T, use_int64 bool) (Tensor, error) { +func NewTensor[T any](from_cai bool, data [][]T) (Tensor[T], error) { + + shape := make([]int, 2) + shape[0] = len(data) + shape[1] = len(data[0]) + + data_flat := make([]T, len(data)*len(data[0])) + for i := range data { + for j := range data[i] { + data_flat[i*len(data[0])+j] = data[i][j] + } + } if len(shape) < 2 { - panic("shape must be atleast 2") + return Tensor[T]{}, errors.New("shape must be atleast 2") } dlm := (*C.DLManagedTensor)(C.malloc(C.size_t(unsafe.Sizeof(C.DLManagedTensor{})))) if dlm == nil { - panic("memory allocation failed") + return Tensor[T]{}, errors.New("memory allocation failed") } - var devicetype C.DLDeviceType - - // if from_cai { - devicetype = C.kDLCUDA - // } else { - // devicetype = C.kDLCPU - // } - device := C.DLDevice{ - device_type: devicetype, + device_type: C.DLDeviceType(C.kDLCPU), device_id: 0, } var dtype C.DLDataType - if use_int64 { + switch any(data[0][0]).(type) { + case int64: dtype = C.DLDataType{ bits: C.uchar(64), lanes: C.ushort(1), code: C.kDLInt, } - } else { + case float32: dtype = C.DLDataType{ bits: C.uchar(32), lanes: C.ushort(1), code: C.kDLFloat, } + default: + return Tensor[T]{}, errors.New("unsupported data type") } - dlm.dl_tensor.data = unsafe.Pointer(&data[0]) + dlm.dl_tensor.data = unsafe.Pointer(&data_flat[0]) dlm.dl_tensor.device = device @@ -72,30 +84,46 @@ func NewManagedTensor[T any](from_cai bool, shape []int, data []T, use_int64 boo dlm.dl_tensor.byte_offset = 0 dlm.manager_ctx = nil - dlm.deleter = (*[0]byte)(C.delete_tensor) + dlm.deleter = nil - return dlm + return Tensor[T]{c_tensor: dlm}, nil } -func GetBytes(t *C.DLManagedTensor) int { +func (t *Tensor[T]) GetBytes() int { bytes := 1 - for dim := 0; dim < int(t.dl_tensor.ndim); dim++ { - offset := unsafe.Pointer(uintptr(unsafe.Pointer(t.dl_tensor.shape)) + uintptr(dim)*unsafe.Sizeof(*t.dl_tensor.shape)) + for dim := 0; dim < int(t.c_tensor.dl_tensor.ndim); dim++ { + offset := unsafe.Pointer(uintptr(unsafe.Pointer(t.c_tensor.dl_tensor.shape)) + uintptr(dim)*unsafe.Sizeof(*t.c_tensor.dl_tensor.shape)) // Convert the pointer to the correct type and dereference it to get the value dimSize := *(*C.long)(offset) bytes *= int(dimSize) } - bytes *= int(t.dl_tensor.dtype.bits / 8) + bytes *= int(t.c_tensor.dl_tensor.dtype.bits / 8) return bytes } -func ToDevice(t *C.DLManagedTensor, res *Resource) { - bytes := GetBytes(t) +func (t *Tensor[T]) Close() error { + // TODO: free memory + if t.c_tensor.dl_tensor.device.device_type == C.kDLCUDA { + bytes := t.GetBytes() + res, err := NewResource(nil) + if err != nil { + return err + } + return CheckCuvs(C.cuvsRMMFree(res.resource, t.c_tensor.dl_tensor.data, C.size_t(bytes))) + + // C.run_callback(t.c_tensor.deleter, t.c_tensor) + } + return nil + +} + +func (t *Tensor[T]) ToDevice(res *Resource) (*Tensor[T], error) { + bytes := t.GetBytes() // device_data := &C.void{} @@ -103,14 +131,11 @@ func ToDevice(t *C.DLManagedTensor, res *Resource) { // var DeviceDataPointerPointer *unsafe.Pointer = &DeviceDataPointer // var deviceData *C.void = nil println("host data location:") - println(t.dl_tensor.data) + println(t.c_tensor.dl_tensor.data) println("device data pointer:") println(DeviceDataPointer) println("host data location:") - println(t.dl_tensor.data) - // t.dl_tensor.data = unsafe.Pointer(uintptr(t.dl_tensor.data) + uintptr(1200)) - // println("new host data location:") - // println(t.dl_tensor.data) + println(t.c_tensor.dl_tensor.data) CheckCuvs(C.cuvsRMMAlloc(res.resource, &DeviceDataPointer, C.size_t(bytes))) // CheckCuda(C.cudaMalloc(&DeviceDataPointer, C.size_t(bytes))) @@ -132,56 +157,70 @@ func ToDevice(t *C.DLManagedTensor, res *Resource) { println("host data:") println(unsafe.Pointer(&hostData[0])) - CheckCuda( + err := CheckCuda( C.cudaMemcpy( - // DeviceDataPointer, DeviceDataPointer, - // unsafe.Pointer(&hostData[0]), - t.dl_tensor.data, - // unsafe.Pointer(&hostData[0]), - // DeviceDataPointer, - // C.size_t(bytes), + t.c_tensor.dl_tensor.data, C.size_t(bytes), C.cudaMemcpyHostToDevice, - - // res.get_cuda_stream(), - // GetCudaStream(res.resource), )) - println("done") - - t.dl_tensor.data = DeviceDataPointer + if err != nil { + return nil, err + } + t.c_tensor.dl_tensor.device.device_type = C.kDLCUDA + t.c_tensor.dl_tensor.data = DeviceDataPointer println("normal transfer done") - // return t -} + return t, nil -func ToHost(t *C.DLManagedTensor, res *Resource) { - bytes := GetBytes(t) +} - // var DeviceDataPointer unsafe.Pointer +func (t *Tensor[T]) ToHost(res *Resource) (*Tensor[T], error) { + bytes := t.GetBytes() addr := (C.malloc(C.size_t(bytes))) - // hostData := make([]float32, 2) - - CheckCuda( + err := CheckCuda( C.cudaMemcpy( - // DeviceDataPointer, + addr, - // unsafe.Pointer(&hostData[0]), - t.dl_tensor.data, - // unsafe.Pointer(&hostData[0]), - // DeviceDataPointer, - // C.size_t(bytes), + + t.c_tensor.dl_tensor.data, + C.size_t(bytes), C.cudaMemcpyDeviceToHost, - - // res.get_cuda_stream(), - // GetCudaStream(res.resource), )) - t.dl_tensor.data = addr + if err != nil { + return nil, err + } + + t.c_tensor.dl_tensor.device.device_type = C.kDLCPU + t.c_tensor.dl_tensor.data = addr + + return t, nil +} + +func (t *Tensor[T]) GetArray() ([][]T, error) { + if t.c_tensor.dl_tensor.device.device_type != C.kDLCPU { + return nil, errors.New("Tensor must be on CPU") + } + + shape := unsafe.Slice((*int64)(t.c_tensor.dl_tensor.shape), 2) + + data_flat := unsafe.Slice((*T)(t.c_tensor.dl_tensor.data), shape[0]*shape[1]) + + data := make([][]T, shape[0]) + for i := range data { + data[i] = make([]T, shape[1]) + for j := range data[i] { + data[i][j] = data_flat[i*int(shape[1])+j] + } + } + + return data, nil + } func TestCuda() { diff --git a/go/cuvs/exceptions.go b/go/cuvs/exceptions.go index 96773324b..83df484d3 100644 --- a/go/cuvs/exceptions.go +++ b/go/cuvs/exceptions.go @@ -7,15 +7,18 @@ package common // #include // #include import "C" +import "errors" -func CheckCuvs(error C.cuvsError_t) { +func CheckCuvs(error C.cuvsError_t) error { if error == C.CUVS_ERROR { - panic(C.GoString(C.cuvsGetLastErrorText())) + return errors.New(C.GoString(C.cuvsGetLastErrorText())) } + return nil } -func CheckCuda(error C.cudaError_t) { +func CheckCuda(error C.cudaError_t) error { if error != C.cudaSuccess { - panic(C.GoString(C.cudaGetErrorString(error))) + return errors.New(C.GoString(C.cudaGetErrorString(error))) } + return nil } diff --git a/go/cuvs/resources.go b/go/cuvs/resources.go index c47ea7ba9..34d09797e 100644 --- a/go/cuvs/resources.go +++ b/go/cuvs/resources.go @@ -14,25 +14,34 @@ type Resource struct { } // func NewResource() *Resource { -func NewResource(stream C.cudaStream_t) Resource { +func NewResource(stream C.cudaStream_t) (Resource, error) { res := C.cuvsResources_t(0) - CheckCuvs(C.cuvsResourcesCreate(&res)) + err := CheckCuvs(C.cuvsResourcesCreate(&res)) + if err != nil { + return Resource{}, err + } if stream != nil { - CheckCuvs(C.cuvsStreamSet(res, stream)) + err := CheckCuvs(C.cuvsStreamSet(res, stream)) + if err != nil { + return Resource{}, err + } } - return Resource{resource: res} + return Resource{resource: res}, nil } -func Sync(r C.cuvsResources_t) { - CheckCuvs(C.cuvsStreamSync(r)) +func Sync(r C.cuvsResources_t) error { + return CheckCuvs(C.cuvsStreamSync(r)) } -func GetCudaStream(r C.cuvsResources_t) C.cudaStream_t { +func GetCudaStream(r C.cuvsResources_t) (C.cudaStream_t, error) { var stream C.cudaStream_t - CheckCuvs(C.cuvsStreamGet(r, &stream)) - return stream + err := CheckCuvs(C.cuvsStreamGet(r, &stream)) + if err != nil { + return C.cudaStream_t(nil), err + } + return stream, nil } From d5c0dc3b27bb39da5af75d16699668cf929edf86 Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Wed, 19 Jun 2024 23:37:07 +0000 Subject: [PATCH 06/43] improve resources --- go/cuvs/bruteforce_test.go | 4 ++-- go/cuvs/resources.go | 17 +++++++++++++---- 2 files changed, 15 insertions(+), 6 deletions(-) diff --git a/go/cuvs/bruteforce_test.go b/go/cuvs/bruteforce_test.go index 2ec986632..22a5c9a29 100644 --- a/go/cuvs/bruteforce_test.go +++ b/go/cuvs/bruteforce_test.go @@ -49,7 +49,7 @@ func TestBruteForce(t *testing.T) { dataset.ToDevice(&resource) BuildIndex(resource.resource, &dataset, "L2Expanded", 2.0, index) - Sync(resource.resource) + resource.Sync() queries.ToDevice(&resource) @@ -58,7 +58,7 @@ func TestBruteForce(t *testing.T) { neighbors.ToHost(&resource) distances.ToHost(&resource) - Sync(resource.resource) + resource.Sync() // p := (*int64)(unsafe.Pointer(uintptr(neighbors.c_tensor.dl_tensor.data) + uintptr(K*8*3))) arr, _ := neighbors.GetArray() diff --git a/go/cuvs/resources.go b/go/cuvs/resources.go index 34d09797e..9574af0df 100644 --- a/go/cuvs/resources.go +++ b/go/cuvs/resources.go @@ -33,15 +33,24 @@ func NewResource(stream C.cudaStream_t) (Resource, error) { return Resource{resource: res}, nil } -func Sync(r C.cuvsResources_t) error { - return CheckCuvs(C.cuvsStreamSync(r)) +func (r Resource) Sync() error { + return CheckCuvs(C.cuvsStreamSync(r.resource)) } -func GetCudaStream(r C.cuvsResources_t) (C.cudaStream_t, error) { +func (r Resource) GetCudaStream() (C.cudaStream_t, error) { var stream C.cudaStream_t - err := CheckCuvs(C.cuvsStreamGet(r, &stream)) + err := CheckCuvs(C.cuvsStreamGet(r.resource, &stream)) if err != nil { return C.cudaStream_t(nil), err } return stream, nil } + +func (r Resource) Close() error { + err := CheckCuvs(C.cuvsResourcesDestroy(r.resource)) + if err != nil { + return err + } + + return nil +} From cc6319eda685e296c82506d6600e4ccd5138dd73 Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Tue, 25 Jun 2024 23:44:14 +0000 Subject: [PATCH 07/43] add ivf_flat, modules not working yet --- go/cuvs/bruteforce_test.go | 5 +- go/cuvs/{ => common}/dlpack.go | 16 ++-- go/cuvs/{ => common}/dlpack_test.go | 0 go/cuvs/{ => common}/exceptions.go | 4 +- go/cuvs/{ => common}/resources.go | 12 +-- go/cuvs/ivf_flat/ivf_flat.go | 61 ++++++++++++++ go/cuvs/ivf_flat/ivf_flat_index_params.go | 66 +++++++++++++++ go/cuvs/ivf_flat/ivf_flat_search_params.go | 47 +++++++++++ go/cuvs/ivf_flat/ivf_flat_test.go | 92 +++++++++++++++++++++ go/cuvs/mytests | Bin 0 -> 3556104 bytes 10 files changed, 290 insertions(+), 13 deletions(-) rename go/cuvs/{ => common}/dlpack.go (94%) rename go/cuvs/{ => common}/dlpack_test.go (100%) rename go/cuvs/{ => common}/exceptions.go (88%) rename go/cuvs/{ => common}/resources.go (78%) create mode 100644 go/cuvs/ivf_flat/ivf_flat.go create mode 100644 go/cuvs/ivf_flat/ivf_flat_index_params.go create mode 100644 go/cuvs/ivf_flat/ivf_flat_search_params.go create mode 100644 go/cuvs/ivf_flat/ivf_flat_test.go create mode 100755 go/cuvs/mytests diff --git a/go/cuvs/bruteforce_test.go b/go/cuvs/bruteforce_test.go index 22a5c9a29..90d7ee2a4 100644 --- a/go/cuvs/bruteforce_test.go +++ b/go/cuvs/bruteforce_test.go @@ -44,7 +44,10 @@ func TestBruteForce(t *testing.T) { neighbors, _ := NewTensor(true, NeighborsDataset) distances, _ := NewTensor(true, DistancesDataset) - neighbors.ToDevice(&resource) + _, todeviceerr := neighbors.ToDevice(&resource) + if todeviceerr != nil { + println(todeviceerr) + } distances.ToDevice(&resource) dataset.ToDevice(&resource) diff --git a/go/cuvs/dlpack.go b/go/cuvs/common/dlpack.go similarity index 94% rename from go/cuvs/dlpack.go rename to go/cuvs/common/dlpack.go index 0aa0b94d3..a38784c3b 100644 --- a/go/cuvs/dlpack.go +++ b/go/cuvs/common/dlpack.go @@ -20,10 +20,10 @@ import ( "unsafe" ) -// type ManagedTensor = C.DLManagedTensor +type ManagedTensor = *C.DLManagedTensor type Tensor[T any] struct { - c_tensor *C.DLManagedTensor + C_tensor ManagedTensor } // func NewTensor[T any](from_cai bool, shape []int, data []T, use_int64 bool) (Tensor, error) { @@ -114,7 +114,7 @@ func (t *Tensor[T]) Close() error { if err != nil { return err } - return CheckCuvs(C.cuvsRMMFree(res.resource, t.c_tensor.dl_tensor.data, C.size_t(bytes))) + return CheckCuvs(C.cuvsRMMFree(res.Resource, t.c_tensor.dl_tensor.data, C.size_t(bytes))) // C.run_callback(t.c_tensor.deleter, t.c_tensor) } @@ -137,10 +137,14 @@ func (t *Tensor[T]) ToDevice(res *Resource) (*Tensor[T], error) { println("host data location:") println(t.c_tensor.dl_tensor.data) - CheckCuvs(C.cuvsRMMAlloc(res.resource, &DeviceDataPointer, C.size_t(bytes))) + err := CheckCuvs(C.cuvsRMMAlloc(res.Resource, &DeviceDataPointer, C.size_t(bytes))) + if err != nil { + // panic(err) + return nil, err + } // CheckCuda(C.cudaMalloc(&DeviceDataPointer, C.size_t(bytes))) - println("device data pointer:") + println("device data pointer (after allocation):") println(DeviceDataPointer) println(&DeviceDataPointer) println("bytes:") @@ -157,7 +161,7 @@ func (t *Tensor[T]) ToDevice(res *Resource) (*Tensor[T], error) { println("host data:") println(unsafe.Pointer(&hostData[0])) - err := CheckCuda( + err = CheckCuda( C.cudaMemcpy( DeviceDataPointer, t.c_tensor.dl_tensor.data, diff --git a/go/cuvs/dlpack_test.go b/go/cuvs/common/dlpack_test.go similarity index 100% rename from go/cuvs/dlpack_test.go rename to go/cuvs/common/dlpack_test.go diff --git a/go/cuvs/exceptions.go b/go/cuvs/common/exceptions.go similarity index 88% rename from go/cuvs/exceptions.go rename to go/cuvs/common/exceptions.go index 83df484d3..c5019b3ba 100644 --- a/go/cuvs/exceptions.go +++ b/go/cuvs/common/exceptions.go @@ -9,7 +9,9 @@ package common import "C" import "errors" -func CheckCuvs(error C.cuvsError_t) error { +type CuvsError C.cuvsError_t + +func CheckCuvs(error CuvsError) error { if error == C.CUVS_ERROR { return errors.New(C.GoString(C.cuvsGetLastErrorText())) } diff --git a/go/cuvs/resources.go b/go/cuvs/common/resources.go similarity index 78% rename from go/cuvs/resources.go rename to go/cuvs/common/resources.go index 9574af0df..23be0ff10 100644 --- a/go/cuvs/resources.go +++ b/go/cuvs/common/resources.go @@ -9,8 +9,10 @@ package common // #include import "C" +type cuvsResource C.cuvsResources_t + type Resource struct { - resource C.cuvsResources_t + Resource C.cuvsResources_t } // func NewResource() *Resource { @@ -30,16 +32,16 @@ func NewResource(stream C.cudaStream_t) (Resource, error) { } } - return Resource{resource: res}, nil + return Resource{Resource: res}, nil } func (r Resource) Sync() error { - return CheckCuvs(C.cuvsStreamSync(r.resource)) + return CheckCuvs(C.cuvsStreamSync(r.Resource)) } func (r Resource) GetCudaStream() (C.cudaStream_t, error) { var stream C.cudaStream_t - err := CheckCuvs(C.cuvsStreamGet(r.resource, &stream)) + err := CheckCuvs(C.cuvsStreamGet(r.Resource, &stream)) if err != nil { return C.cudaStream_t(nil), err } @@ -47,7 +49,7 @@ func (r Resource) GetCudaStream() (C.cudaStream_t, error) { } func (r Resource) Close() error { - err := CheckCuvs(C.cuvsResourcesDestroy(r.resource)) + err := CheckCuvs(C.cuvsResourcesDestroy(r.Resource)) if err != nil { return err } diff --git a/go/cuvs/ivf_flat/ivf_flat.go b/go/cuvs/ivf_flat/ivf_flat.go new file mode 100644 index 000000000..b1e9edca4 --- /dev/null +++ b/go/cuvs/ivf_flat/ivf_flat.go @@ -0,0 +1,61 @@ +package ivf_flat + +// #include +// #include +// #include +// #include +// #include +// #include +// #include +import "C" +import ( + "errors" + "rapidsai/cuvs/cuvs/common" + "unsafe" +) + +type IvfFlatIndex struct { + index C.cuvsIvfFlatIndex_t + trained bool +} + +func CreateIvfFlatIndex(params *IndexParams, dataset *common.Tensor[float32]) (*IvfFlatIndex, error) { + + index := (C.cuvsIvfFlatIndex_t)(C.malloc(C.size_t(unsafe.Sizeof(C.cuvsIvfFlatIndex{})))) + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatIndexCreate(&index))) + if err != nil { + return nil, err + } + + return &IvfFlatIndex{index: index}, nil +} + +type ManagedTensor2 = *C.DLManagedTensor + +func BuildIvfFlatIndex[T any](Resources common.Resource, params *IndexParams, dataset *common.Tensor[T], index *IvfFlatIndex) error { + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatBuild(C.ulong(Resources.Resource), params.params, ManagedTensor2(dataset.C_tensor), index.index))) + if err != nil { + return err + } + index.trained = true + return nil +} + +func (index *IvfFlatIndex) Close() error { + err := CheckCuvs(C.cuvsIvfFlatIndexDestroy(index.index)) + if err != nil { + return err + } + // TODO free memory + return nil +} + +func SearchIvfFlatIndex[T any](Resources Resource, params *SearchParams, index *IvfFlatIndex, queries *Tensor[T], neighbors *Tensor[int64], distances *Tensor[T]) error { + + if !index.trained { + return errors.New("index needs to be built before calling search") + } + + return CheckCuvs(C.cuvsIvfFlatSearch(Resources.resource, params.params, index.index, queries.c_tensor, neighbors.c_tensor, distances.c_tensor)) + +} diff --git a/go/cuvs/ivf_flat/ivf_flat_index_params.go b/go/cuvs/ivf_flat/ivf_flat_index_params.go new file mode 100644 index 000000000..44c56507d --- /dev/null +++ b/go/cuvs/ivf_flat/ivf_flat_index_params.go @@ -0,0 +1,66 @@ +package ivf_flat + +// #include +// #include +// #include +// #include +// #include +// #include +// #include +import "C" +import ( + "errors" + "unsafe" +) + +type IndexParams struct { + params C.cuvsIvfFlatIndexParams_t +} + +func CreateIndexParams(n_lists uint32, metric string, metric_arg float32, set_kmeans_n_iters uint32, kmeans_trainset_fraction float64, add_data_on_build bool) (*IndexParams, error) { + + size := unsafe.Sizeof(C.struct_cuvsIvfFlatIndexParams{}) + + params := (C.cuvsIvfFlatIndexParams_t)(C.malloc(C.size_t(size))) + + if params == nil { + return nil, errors.New("memory allocation failed") + } + + err := CheckCuvs(C.cuvsIvfFlatIndexParamsCreate(¶ms)) + + if err != nil { + return nil, err + } + + CMetric := C.cuvsDistanceType(0) + + switch metric { + case "L2Expanded": + CMetric = C.L2Expanded + default: + return nil, errors.New("unsupported metric") + } + + params.n_lists = C.uint32_t(n_lists) + params.metric = C.cuvsDistanceType(CMetric) + params.metric_arg = C.float(metric_arg) + params.kmeans_n_iters = C.uint32_t(set_kmeans_n_iters) + params.kmeans_trainset_fraction = C.double(kmeans_trainset_fraction) + if add_data_on_build { + params.add_data_on_build = C._Bool(true) + } else { + params.add_data_on_build = C._Bool(false) + } + + return &IndexParams{params: params}, nil +} + +func (p *IndexParams) Close() error { + err := CheckCuvs(C.cuvsIvfFlatIndexParamsDestroy(p.params)) + if err != nil { + return err + } + // TODO free memory + return nil +} diff --git a/go/cuvs/ivf_flat/ivf_flat_search_params.go b/go/cuvs/ivf_flat/ivf_flat_search_params.go new file mode 100644 index 000000000..a66b91606 --- /dev/null +++ b/go/cuvs/ivf_flat/ivf_flat_search_params.go @@ -0,0 +1,47 @@ +package ivf_flat + +// #include +// #include +// #include +// #include +// #include +// #include +// #include +import "C" +import ( + "errors" + "rapidsai/cuvs/cuvs/common" + "unsafe" +) + +type SearchParams struct { + params C.cuvsIvfFlatSearchParams_t +} + +func CreateSearchParams(n_probes uint32) (*SearchParams, error) { + + size := unsafe.Sizeof(C.struct_cuvsIvfFlatSearchParams{}) + + params := (C.cuvsIvfFlatSearchParams_t)(C.malloc(C.size_t(size))) + + if params == nil { + return nil, errors.New("memory allocation failed") + } + + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatSearchParamsCreate(¶ms))) + + if err != nil { + return nil, err + } + + return &SearchParams{params: params}, nil +} + +func (p *SearchParams) Close() error { + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatSearchParamsDestroy(p.params))) + if err != nil { + return err + } + // TODO free memory + return nil +} diff --git a/go/cuvs/ivf_flat/ivf_flat_test.go b/go/cuvs/ivf_flat/ivf_flat_test.go new file mode 100644 index 000000000..4a7599fa4 --- /dev/null +++ b/go/cuvs/ivf_flat/ivf_flat_test.go @@ -0,0 +1,92 @@ +package ivf_flat + +import ( + "math/rand" + "testing" + "time" +) + +func TestIvfFlat(t *testing.T) { + + resource, _ := NewResource(nil) + + rand.Seed(time.Now().UnixNano()) + + NDataPoints := 16 + NFeatures := 8 + + TestDataset := make([][]float32, NDataPoints) + for i := range TestDataset { + TestDataset[i] = make([]float32, NFeatures) + for j := range TestDataset[i] { + TestDataset[i][j] = rand.Float32() + } + } + + dataset, _ := NewTensor(true, TestDataset) + + IndexParams, _ := CreateIndexParams(2, "L2Expanded", 2.0, 0, 0.5, true) + + index, _ := CreateIvfFlatIndex(IndexParams, &dataset) + defer index.Close() + // use the first 4 points from the dataset as queries : will test that we get them back + // as their own nearest neighbor + + NQueries := 4 + K := 4 + queries, _ := NewTensor(true, TestDataset[:NQueries]) + NeighborsDataset := make([][]int64, NQueries) + for i := range NeighborsDataset { + NeighborsDataset[i] = make([]int64, K) + } + DistancesDataset := make([][]float32, NQueries) + for i := range DistancesDataset { + DistancesDataset[i] = make([]float32, K) + } + neighbors, _ := NewTensor(true, NeighborsDataset) + distances, _ := NewTensor(true, DistancesDataset) + + _, todeviceerr := neighbors.ToDevice(&resource) + if todeviceerr != nil { + println(todeviceerr) + } + distances.ToDevice(&resource) + dataset.ToDevice(&resource) + + err := BuildIvfFlatIndex(resource, IndexParams, &dataset, index) + if err != nil { + panic(err) + } + resource.Sync() + + queries.ToDevice(&resource) + + SearchParams, _ := CreateSearchParams(10) + + err = SearchIvfFlatIndex(resource, SearchParams, index, &queries, &neighbors, &distances) + if err != nil { + panic(err) + } + + neighbors.ToHost(&resource) + distances.ToHost(&resource) + + resource.Sync() + + // p := (*int64)(unsafe.Pointer(uintptr(neighbors.c_tensor.dl_tensor.data) + uintptr(K*8*3))) + arr, _ := neighbors.GetArray() + for i := range arr { + println(arr[i][0]) + if arr[i][0] != int64(i) { + t.Error("wrong neighbor, expected", i, "got", arr[i][0]) + } + } + + arr_dist, _ := distances.GetArray() + for i := range arr_dist { + if arr_dist[i][0] >= float32(0.001) || arr_dist[i][0] <= float32(-0.001) { + t.Error("wrong distance, expected", float32(i), "got", arr_dist[i][0]) + } + } + +} diff --git a/go/cuvs/mytests b/go/cuvs/mytests new file mode 100755 index 0000000000000000000000000000000000000000..1c443d0f32c2e985203f35bc10b8d870de665eb4 GIT binary patch literal 3556104 zcmeEvd3+RAwtr`X7J}7CkRTw9wobq;LBK?ebRb|gb~FfT6n*RwlqDwJ5Co;M6HME- 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z=d7}zIcf!S{QUV>8=vLX#%K8w)!%1krU3ofV*Uu;uTAQ%Vs>9|F61v5Qnd8Xqm zzcBwoTLiGnr+HwX-u`d-`Eq^)4u1Mpo#%Vz>hJmgsehhd4)D`g$UHwd#}Cf&^B2bS z{Xf0UbF){Mnwk#4PoMw4c`x6Ye1mYq899HS&lo^3&(F*C3wX72v%K1|S$@ZY-*29q zmzx&wHa@ew&52n)KXtz5S*ibTQ_W-nKdzkR$H!**xx49aYW}$ABP0c$xbMujx{uh7LbS4XU0kFVS z3;!Q{jN>f-X8Zh^ovm>pf9-$pP|VI5;Q0I>(76UL;1dNe_Lv5FXs8V_RWh8d#B&5)YP`kN6g8E{ItE`7MscWV($98*E&l~mouUD t-}`s|zMg(O{`&}La5W45<{3r5^4~T7+fq~0{2#o-T>Hxx01HgD{|^AKZjS%} literal 0 HcmV?d00001 From 01af7c9f681efa55ab2c2f0e224acfe743a19445 Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Sat, 29 Jun 2024 17:20:26 +0000 Subject: [PATCH 08/43] sync --- go/cuvs/common/dlpack.go | 6 +++--- go/cuvs/ivf_flat/ivf_flat.go | 9 ++++++--- 2 files changed, 9 insertions(+), 6 deletions(-) diff --git a/go/cuvs/common/dlpack.go b/go/cuvs/common/dlpack.go index a38784c3b..1e9624e77 100644 --- a/go/cuvs/common/dlpack.go +++ b/go/cuvs/common/dlpack.go @@ -17,13 +17,13 @@ package common import "C" import ( "errors" + // "rapidsai/cuvs/cuvs" + // "rapidsai/cuvs/cuvs/ivf_flat" "unsafe" ) -type ManagedTensor = *C.DLManagedTensor - type Tensor[T any] struct { - C_tensor ManagedTensor + C_tensor C.DLManagedTensor } // func NewTensor[T any](from_cai bool, shape []int, data []T, use_int64 bool) (Tensor, error) { diff --git a/go/cuvs/ivf_flat/ivf_flat.go b/go/cuvs/ivf_flat/ivf_flat.go index b1e9edca4..ecf5c80cd 100644 --- a/go/cuvs/ivf_flat/ivf_flat.go +++ b/go/cuvs/ivf_flat/ivf_flat.go @@ -1,5 +1,8 @@ package ivf_flat +// #include +// #include +// #include // #include // #include // #include @@ -30,10 +33,10 @@ func CreateIvfFlatIndex(params *IndexParams, dataset *common.Tensor[float32]) (* return &IvfFlatIndex{index: index}, nil } -type ManagedTensor2 = *C.DLManagedTensor +type ManagedTensor = *C.DLManagedTensor func BuildIvfFlatIndex[T any](Resources common.Resource, params *IndexParams, dataset *common.Tensor[T], index *IvfFlatIndex) error { - err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatBuild(C.ulong(Resources.Resource), params.params, ManagedTensor2(dataset.C_tensor), index.index))) + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatBuild(C.ulong(Resources.Resource), params.params, (*C.DLManagedTensor)(unsafe.Pointer(&dataset.C_tensor)), index.index))) if err != nil { return err } @@ -42,7 +45,7 @@ func BuildIvfFlatIndex[T any](Resources common.Resource, params *IndexParams, da } func (index *IvfFlatIndex) Close() error { - err := CheckCuvs(C.cuvsIvfFlatIndexDestroy(index.index)) + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatIndexDestroy(index.index))) if err != nil { return err } From ed9bf478af0dbf59a2c27e44a45a4bcdae8f0147 Mon Sep 17 00:00:00 2001 From: Ajit Mistry Date: Tue, 2 Jul 2024 16:13:19 +0000 Subject: [PATCH 09/43] cleanup --- go/cuvs/{ => bruteforce}/bruteforce.go | 23 ++++++------ go/cuvs/{ => bruteforce}/bruteforce_test.go | 16 +++++---- go/cuvs/bruteforce/mytests | Bin 0 -> 3537488 bytes go/cuvs/common/dlpack.go | 38 ++++++++++---------- go/cuvs/common/resources.go | 10 +++--- go/cuvs/ivf_flat/ivf_flat.go | 6 ++-- go/cuvs/ivf_flat/ivf_flat_index_params.go | 5 +-- go/cuvs/ivf_flat/ivf_flat_test.go | 11 +++--- go/cuvs/ivf_flat/mytests | Bin 0 -> 3543608 bytes 9 files changed, 57 insertions(+), 52 deletions(-) rename go/cuvs/{ => bruteforce}/bruteforce.go (51%) rename go/cuvs/{ => bruteforce}/bruteforce_test.go (78%) create mode 100755 go/cuvs/bruteforce/mytests create mode 100755 go/cuvs/ivf_flat/mytests diff --git a/go/cuvs/bruteforce.go b/go/cuvs/bruteforce/bruteforce.go similarity index 51% rename from go/cuvs/bruteforce.go rename to go/cuvs/bruteforce/bruteforce.go index 91042b02a..54f6333f7 100644 --- a/go/cuvs/bruteforce.go +++ b/go/cuvs/bruteforce/bruteforce.go @@ -10,6 +10,7 @@ package common import "C" import ( "errors" + "rapidsai/cuvs/cuvs/common" "unsafe" ) @@ -30,7 +31,7 @@ func CreateIndex() (*Index, error) { return nil, errors.New("memory allocation failed") } - err := CheckCuvs(C.cuvsBruteForceIndexCreate(&index)) + err := common.CheckCuvs(common.CuvsError(C.cuvsBruteForceIndexCreate(&index))) if err != nil { return nil, err @@ -41,7 +42,7 @@ func CreateIndex() (*Index, error) { } func (index *Index) Close() error { - err := CheckCuvs(C.cuvsBruteForceIndexDestroy(index.index)) + err := common.CheckCuvs(common.CuvsError(C.cuvsBruteForceIndexDestroy(index.index))) if err != nil { return err } @@ -49,11 +50,11 @@ func (index *Index) Close() error { return nil } -func BuildIndex[T any](Resources C.cuvsResources_t, Dataset *Tensor[T], metric string, metric_arg float32, index *Index) error { +func BuildIndex[T any](Resources common.Resource, Dataset *common.Tensor[T], metric string, metric_arg float32, index *Index) error { - if Dataset.c_tensor.dl_tensor.device.device_type != C.kDLCUDA { - return errors.New("dataset must be on GPU") - } + // if Dataset.C_tensor.dl_tensor.device.device_type != C.kDLCUDA { + // return errors.New("dataset must be on GPU") + // } CMetric := C.cuvsDistanceType(0) @@ -64,24 +65,24 @@ func BuildIndex[T any](Resources C.cuvsResources_t, Dataset *Tensor[T], metric s return errors.New("unsupported metric") } - println(index.index.addr) - - err := CheckCuvs(C.cuvsBruteForceBuild(Resources, Dataset.c_tensor, CMetric, C.float(metric_arg), index.index)) + err := common.CheckCuvs(common.CuvsError(C.cuvsBruteForceBuild(C.cuvsResources_t(Resources.Resource), (*C.DLManagedTensor)(unsafe.Pointer(Dataset.C_tensor)), CMetric, C.float(metric_arg), index.index))) if err != nil { return err } index.trained = true + println("build done") + return nil } -func SearchIndex[T any](resources C.cuvsResources_t, index Index, queries *Tensor[T], neighbors *Tensor[int64], distances *Tensor[T]) error { +func SearchIndex[T any](resources common.Resource, index Index, queries *common.Tensor[T], neighbors *common.Tensor[int64], distances *common.Tensor[T]) error { if !index.trained { return errors.New("index needs to be built before calling search") } - return CheckCuvs(C.cuvsBruteForceSearch(resources, index.index, queries.c_tensor, neighbors.c_tensor, distances.c_tensor)) + return common.CheckCuvs(common.CuvsError(C.cuvsBruteForceSearch(C.ulong(resources.Resource), index.index, (*C.DLManagedTensor)(unsafe.Pointer(queries.C_tensor)), (*C.DLManagedTensor)(unsafe.Pointer(neighbors.C_tensor)), (*C.DLManagedTensor)(unsafe.Pointer(distances.C_tensor))))) } diff --git a/go/cuvs/bruteforce_test.go b/go/cuvs/bruteforce/bruteforce_test.go similarity index 78% rename from go/cuvs/bruteforce_test.go rename to go/cuvs/bruteforce/bruteforce_test.go index 90d7ee2a4..51daba9e8 100644 --- a/go/cuvs/bruteforce_test.go +++ b/go/cuvs/bruteforce/bruteforce_test.go @@ -2,13 +2,14 @@ package common import ( "math/rand" + "rapidsai/cuvs/cuvs/common" "testing" "time" ) func TestBruteForce(t *testing.T) { - resource, _ := NewResource(nil) + resource, _ := common.NewResource(nil) rand.Seed(time.Now().UnixNano()) @@ -23,7 +24,7 @@ func TestBruteForce(t *testing.T) { } } - dataset, _ := NewTensor(true, TestDataset) + dataset, _ := common.NewTensor(true, TestDataset) index, _ := CreateIndex() defer index.Close() @@ -32,7 +33,7 @@ func TestBruteForce(t *testing.T) { NQueries := 4 K := 4 - queries, _ := NewTensor(true, TestDataset[:NQueries]) + queries, _ := common.NewTensor(true, TestDataset[:NQueries]) NeighborsDataset := make([][]int64, NQueries) for i := range NeighborsDataset { NeighborsDataset[i] = make([]int64, K) @@ -41,8 +42,8 @@ func TestBruteForce(t *testing.T) { for i := range DistancesDataset { DistancesDataset[i] = make([]float32, K) } - neighbors, _ := NewTensor(true, NeighborsDataset) - distances, _ := NewTensor(true, DistancesDataset) + neighbors, _ := common.NewTensor(true, NeighborsDataset) + distances, _ := common.NewTensor(true, DistancesDataset) _, todeviceerr := neighbors.ToDevice(&resource) if todeviceerr != nil { @@ -51,12 +52,12 @@ func TestBruteForce(t *testing.T) { distances.ToDevice(&resource) dataset.ToDevice(&resource) - BuildIndex(resource.resource, &dataset, "L2Expanded", 2.0, index) + BuildIndex(resource, &dataset, "L2Expanded", 2.0, index) resource.Sync() queries.ToDevice(&resource) - SearchIndex(resource.resource, *index, &queries, &neighbors, &distances) + SearchIndex(resource, *index, &queries, &neighbors, &distances) neighbors.ToHost(&resource) distances.ToHost(&resource) @@ -74,6 +75,7 @@ func TestBruteForce(t *testing.T) { arr_dist, _ := distances.GetArray() for i := range arr_dist { + println(arr_dist[i][0]) if arr_dist[i][0] >= float32(0.001) || arr_dist[i][0] <= float32(-0.001) { t.Error("wrong distance, expected", float32(i), "got", arr_dist[i][0]) } diff --git a/go/cuvs/bruteforce/mytests b/go/cuvs/bruteforce/mytests new file mode 100755 index 0000000000000000000000000000000000000000..26f611f5c9f9a010b76281792054a1e163cfd827 GIT binary patch literal 3537488 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zgdgtMu56IDZehd=EflH*;TML93LE=cnX_3XUzJzbDj$(bVhA38RUHta@YAvUpW_!f mt`*-;3%5{-qt4WAP%0&j3tL=hp-?&>;d9~m>r?<06ZPNXDt1x; literal 0 HcmV?d00001 diff --git a/go/cuvs/common/dlpack.go b/go/cuvs/common/dlpack.go index 1e9624e77..33f4013d6 100644 --- a/go/cuvs/common/dlpack.go +++ b/go/cuvs/common/dlpack.go @@ -23,7 +23,7 @@ import ( ) type Tensor[T any] struct { - C_tensor C.DLManagedTensor + C_tensor *C.DLManagedTensor } // func NewTensor[T any](from_cai bool, shape []int, data []T, use_int64 bool) (Tensor, error) { @@ -86,35 +86,35 @@ func NewTensor[T any](from_cai bool, data [][]T) (Tensor[T], error) { dlm.manager_ctx = nil dlm.deleter = nil - return Tensor[T]{c_tensor: dlm}, nil + return Tensor[T]{C_tensor: dlm}, nil } func (t *Tensor[T]) GetBytes() int { bytes := 1 - for dim := 0; dim < int(t.c_tensor.dl_tensor.ndim); dim++ { - offset := unsafe.Pointer(uintptr(unsafe.Pointer(t.c_tensor.dl_tensor.shape)) + uintptr(dim)*unsafe.Sizeof(*t.c_tensor.dl_tensor.shape)) + for dim := 0; dim < int(t.C_tensor.dl_tensor.ndim); dim++ { + offset := unsafe.Pointer(uintptr(unsafe.Pointer(t.C_tensor.dl_tensor.shape)) + uintptr(dim)*unsafe.Sizeof(*t.C_tensor.dl_tensor.shape)) // Convert the pointer to the correct type and dereference it to get the value dimSize := *(*C.long)(offset) bytes *= int(dimSize) } - bytes *= int(t.c_tensor.dl_tensor.dtype.bits / 8) + bytes *= int(t.C_tensor.dl_tensor.dtype.bits / 8) return bytes } func (t *Tensor[T]) Close() error { // TODO: free memory - if t.c_tensor.dl_tensor.device.device_type == C.kDLCUDA { + if t.C_tensor.dl_tensor.device.device_type == C.kDLCUDA { bytes := t.GetBytes() res, err := NewResource(nil) if err != nil { return err } - return CheckCuvs(C.cuvsRMMFree(res.Resource, t.c_tensor.dl_tensor.data, C.size_t(bytes))) + return CheckCuvs(CuvsError(C.cuvsRMMFree(res.Resource, t.C_tensor.dl_tensor.data, C.size_t(bytes)))) // C.run_callback(t.c_tensor.deleter, t.c_tensor) } @@ -131,13 +131,13 @@ func (t *Tensor[T]) ToDevice(res *Resource) (*Tensor[T], error) { // var DeviceDataPointerPointer *unsafe.Pointer = &DeviceDataPointer // var deviceData *C.void = nil println("host data location:") - println(t.c_tensor.dl_tensor.data) + println(t.C_tensor.dl_tensor.data) println("device data pointer:") println(DeviceDataPointer) println("host data location:") - println(t.c_tensor.dl_tensor.data) + println(t.C_tensor.dl_tensor.data) - err := CheckCuvs(C.cuvsRMMAlloc(res.Resource, &DeviceDataPointer, C.size_t(bytes))) + err := CheckCuvs(CuvsError(C.cuvsRMMAlloc(res.Resource, &DeviceDataPointer, C.size_t(bytes)))) if err != nil { // panic(err) return nil, err @@ -164,7 +164,7 @@ func (t *Tensor[T]) ToDevice(res *Resource) (*Tensor[T], error) { err = CheckCuda( C.cudaMemcpy( DeviceDataPointer, - t.c_tensor.dl_tensor.data, + t.C_tensor.dl_tensor.data, C.size_t(bytes), C.cudaMemcpyHostToDevice, )) @@ -172,8 +172,8 @@ func (t *Tensor[T]) ToDevice(res *Resource) (*Tensor[T], error) { if err != nil { return nil, err } - t.c_tensor.dl_tensor.device.device_type = C.kDLCUDA - t.c_tensor.dl_tensor.data = DeviceDataPointer + t.C_tensor.dl_tensor.device.device_type = C.kDLCUDA + t.C_tensor.dl_tensor.data = DeviceDataPointer println("normal transfer done") return t, nil @@ -190,7 +190,7 @@ func (t *Tensor[T]) ToHost(res *Resource) (*Tensor[T], error) { addr, - t.c_tensor.dl_tensor.data, + t.C_tensor.dl_tensor.data, C.size_t(bytes), C.cudaMemcpyDeviceToHost, @@ -200,20 +200,20 @@ func (t *Tensor[T]) ToHost(res *Resource) (*Tensor[T], error) { return nil, err } - t.c_tensor.dl_tensor.device.device_type = C.kDLCPU - t.c_tensor.dl_tensor.data = addr + t.C_tensor.dl_tensor.device.device_type = C.kDLCPU + t.C_tensor.dl_tensor.data = addr return t, nil } func (t *Tensor[T]) GetArray() ([][]T, error) { - if t.c_tensor.dl_tensor.device.device_type != C.kDLCPU { + if t.C_tensor.dl_tensor.device.device_type != C.kDLCPU { return nil, errors.New("Tensor must be on CPU") } - shape := unsafe.Slice((*int64)(t.c_tensor.dl_tensor.shape), 2) + shape := unsafe.Slice((*int64)(t.C_tensor.dl_tensor.shape), 2) - data_flat := unsafe.Slice((*T)(t.c_tensor.dl_tensor.data), shape[0]*shape[1]) + data_flat := unsafe.Slice((*T)(t.C_tensor.dl_tensor.data), shape[0]*shape[1]) data := make([][]T, shape[0]) for i := range data { diff --git a/go/cuvs/common/resources.go b/go/cuvs/common/resources.go index 23be0ff10..1ebbc80c7 100644 --- a/go/cuvs/common/resources.go +++ b/go/cuvs/common/resources.go @@ -20,13 +20,13 @@ func NewResource(stream C.cudaStream_t) (Resource, error) { res := C.cuvsResources_t(0) - err := CheckCuvs(C.cuvsResourcesCreate(&res)) + err := CheckCuvs(CuvsError(C.cuvsResourcesCreate(&res))) if err != nil { return Resource{}, err } if stream != nil { - err := CheckCuvs(C.cuvsStreamSet(res, stream)) + err := CheckCuvs(CuvsError(C.cuvsStreamSet(res, stream))) if err != nil { return Resource{}, err } @@ -36,12 +36,12 @@ func NewResource(stream C.cudaStream_t) (Resource, error) { } func (r Resource) Sync() error { - return CheckCuvs(C.cuvsStreamSync(r.Resource)) + return CheckCuvs(CuvsError(C.cuvsStreamSync(r.Resource))) } func (r Resource) GetCudaStream() (C.cudaStream_t, error) { var stream C.cudaStream_t - err := CheckCuvs(C.cuvsStreamGet(r.Resource, &stream)) + err := CheckCuvs(CuvsError(C.cuvsStreamGet(r.Resource, &stream))) if err != nil { return C.cudaStream_t(nil), err } @@ -49,7 +49,7 @@ func (r Resource) GetCudaStream() (C.cudaStream_t, error) { } func (r Resource) Close() error { - err := CheckCuvs(C.cuvsResourcesDestroy(r.Resource)) + err := CheckCuvs(CuvsError(C.cuvsResourcesDestroy(r.Resource))) if err != nil { return err } diff --git a/go/cuvs/ivf_flat/ivf_flat.go b/go/cuvs/ivf_flat/ivf_flat.go index ecf5c80cd..bbd7b7487 100644 --- a/go/cuvs/ivf_flat/ivf_flat.go +++ b/go/cuvs/ivf_flat/ivf_flat.go @@ -36,7 +36,7 @@ func CreateIvfFlatIndex(params *IndexParams, dataset *common.Tensor[float32]) (* type ManagedTensor = *C.DLManagedTensor func BuildIvfFlatIndex[T any](Resources common.Resource, params *IndexParams, dataset *common.Tensor[T], index *IvfFlatIndex) error { - err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatBuild(C.ulong(Resources.Resource), params.params, (*C.DLManagedTensor)(unsafe.Pointer(&dataset.C_tensor)), index.index))) + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatBuild(C.ulong(Resources.Resource), params.params, (*C.DLManagedTensor)(unsafe.Pointer(dataset.C_tensor)), index.index))) if err != nil { return err } @@ -53,12 +53,12 @@ func (index *IvfFlatIndex) Close() error { return nil } -func SearchIvfFlatIndex[T any](Resources Resource, params *SearchParams, index *IvfFlatIndex, queries *Tensor[T], neighbors *Tensor[int64], distances *Tensor[T]) error { +func SearchIvfFlatIndex[T any](Resources common.Resource, params *SearchParams, index *IvfFlatIndex, queries *common.Tensor[T], neighbors *common.Tensor[int64], distances *common.Tensor[T]) error { if !index.trained { return errors.New("index needs to be built before calling search") } - return CheckCuvs(C.cuvsIvfFlatSearch(Resources.resource, params.params, index.index, queries.c_tensor, neighbors.c_tensor, distances.c_tensor)) + return common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatSearch(C.cuvsResources_t(Resources.Resource), params.params, index.index, (*C.DLManagedTensor)(unsafe.Pointer(queries.C_tensor)), (*C.DLManagedTensor)(unsafe.Pointer(neighbors.C_tensor)), (*C.DLManagedTensor)(unsafe.Pointer(distances.C_tensor))))) } diff --git a/go/cuvs/ivf_flat/ivf_flat_index_params.go b/go/cuvs/ivf_flat/ivf_flat_index_params.go index 44c56507d..b8ee5878f 100644 --- a/go/cuvs/ivf_flat/ivf_flat_index_params.go +++ b/go/cuvs/ivf_flat/ivf_flat_index_params.go @@ -10,6 +10,7 @@ package ivf_flat import "C" import ( "errors" + "rapidsai/cuvs/cuvs/common" "unsafe" ) @@ -27,7 +28,7 @@ func CreateIndexParams(n_lists uint32, metric string, metric_arg float32, set_km return nil, errors.New("memory allocation failed") } - err := CheckCuvs(C.cuvsIvfFlatIndexParamsCreate(¶ms)) + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatIndexParamsCreate(¶ms))) if err != nil { return nil, err @@ -57,7 +58,7 @@ func CreateIndexParams(n_lists uint32, metric string, metric_arg float32, set_km } func (p *IndexParams) Close() error { - err := CheckCuvs(C.cuvsIvfFlatIndexParamsDestroy(p.params)) + err := common.CheckCuvs(common.CuvsError(C.cuvsIvfFlatIndexParamsDestroy(p.params))) if err != nil { return err } diff --git a/go/cuvs/ivf_flat/ivf_flat_test.go b/go/cuvs/ivf_flat/ivf_flat_test.go index 4a7599fa4..1d0991871 100644 --- a/go/cuvs/ivf_flat/ivf_flat_test.go +++ b/go/cuvs/ivf_flat/ivf_flat_test.go @@ -2,13 +2,14 @@ package ivf_flat import ( "math/rand" + "rapidsai/cuvs/cuvs/common" "testing" "time" ) func TestIvfFlat(t *testing.T) { - resource, _ := NewResource(nil) + resource, _ := common.NewResource(nil) rand.Seed(time.Now().UnixNano()) @@ -23,7 +24,7 @@ func TestIvfFlat(t *testing.T) { } } - dataset, _ := NewTensor(true, TestDataset) + dataset, _ := common.NewTensor(true, TestDataset) IndexParams, _ := CreateIndexParams(2, "L2Expanded", 2.0, 0, 0.5, true) @@ -34,7 +35,7 @@ func TestIvfFlat(t *testing.T) { NQueries := 4 K := 4 - queries, _ := NewTensor(true, TestDataset[:NQueries]) + queries, _ := common.NewTensor(true, TestDataset[:NQueries]) NeighborsDataset := make([][]int64, NQueries) for i := range NeighborsDataset { NeighborsDataset[i] = make([]int64, K) @@ -43,8 +44,8 @@ func TestIvfFlat(t *testing.T) { for i := range DistancesDataset { DistancesDataset[i] = make([]float32, K) } - neighbors, _ := NewTensor(true, NeighborsDataset) - distances, _ := NewTensor(true, DistancesDataset) + neighbors, _ := common.NewTensor(true, NeighborsDataset) + distances, _ := common.NewTensor(true, DistancesDataset) _, todeviceerr := neighbors.ToDevice(&resource) if todeviceerr != nil { diff --git a/go/cuvs/ivf_flat/mytests b/go/cuvs/ivf_flat/mytests new file mode 100755 index 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