Expand description
GPU acceleration for dataset operations
This module provides GPU acceleration for data generation and processing operations, significantly improving performance for large-scale synthetic dataset creation.
Structs§
- GpuBenchmark
- GPU performance benchmarking utilities
- GpuBenchmark
Results - GPU benchmark results
- GpuConfig
- GPU configuration for dataset operations
- GpuContext
- GPU context for managing device operations
- GpuDevice
Info - GPU device information
- GpuMemory
Config - GPU memory management configuration
Enums§
- GpuBackend
- GPU backend configuration
Functions§
- get_
optimal_ gpu_ config - Get optimal GPU configuration for the current system
- is_
cuda_ available - Utility functions for GPU operations Check if CUDA is available on the system
- is_
opencl_ available - Check if OpenCL is available on the system
- list_
gpu_ devices - List available GPU devices
- make_
blobs_ auto_ gpu - Generate blobs dataset with automatic GPU detection
- make_
classification_ auto_ gpu - Convenience functions for GPU-accelerated data generation
- make_
regression_ auto_ gpu - Generate regression dataset with automatic GPU detection