WebJun 18, 2024 · Yeah, I tried with GPU_INDEX = 0 for 1 GPU it started the training. but for 2 GPU, it throws : AssertionError: The number of GPUs ([0]) must be the same as the number of GPU indices (2) provided. WebNov 12, 2024 · gpu_resource = faiss.StandardGpuResources () cpu_index = faiss.IndexFlatL2 (num_dimensions) gpu_index = faiss.index_cpu_to_gpu (gpu_resource, 0, cpu_index) gpu_index.add (x_calib) _, array_knn_indices_gpu = gpu_index.search (x_prod, num_neighbors) assert(array_knn_indices_gpu.shape [0] == num_prod_points)
FAISS 教程 - 知乎 - 知乎专栏
Web# make it an IVF GPU index: gpu_index_ivf = faiss.index_cpu_to_gpu(res, 0, index_ivf) assert not gpu_index_ivf.is_trained: gpu_index_ivf.train(xb) # add vectors to the index: … WebThe get_memory function returns an exact match for memory usage. Search speeds are incredibly close, with the index_factory version 5µs faster — a negligible difference. We calculate recall as the percentage of matches from the top- k between a flat L2 index and the tested index. opelika and auburn news
GPU Pro Tip: Fast Dynamic Indexing of Private Arrays in CUDA
WebFeb 11, 2015 · Uniform access with truly dynamic indexing causes the compiler to use local memory for the array. If 1) you have sufficient math instructions in the kernel to hide local load/store latency and 2) private arrays fit into L2/L1 caches, then the performance hit due to these additional loads/stores should be small. WebGPU: [1, min(2048, nlist)] IVF_SQ8 IVF_FLAT does not perform any compression, so the index files it produces are roughly the same size as the original, raw non-indexed vector data. For example, if the original 1B SIFT dataset is 476 GB, its IVF_FLAT index files will be slightly larger (~470 GB). WebMar 31, 2024 · 可通过 faiss.get_num_gpus () 查询有多少个gpu ngpus = faiss.get_num_gpus () print ( "number of GPUs:", ngpus) 使用gpu的完整示例。 1、使用一块gpu # build a flat (CPU) index index_flat = faiss.IndexFlatL2 (d) # make it into a gpu index gpu_index_flat = faiss.index_cpu_to_gpu (res, 0, index_flat) 2、使用全部gpu iowa has bad corn