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       "name": "XPU Utility Functions",
       "headline": "XPU Utility Functions",
       "description": "XPU utility functions in PyTorch C++ \u2014 device count, properties, and stream management for Intel GPUs.",
       "url": "/api/xpu/utilities.html",
       "articleBody": "XPU Utility Functions# High-level utility functions for querying and managing XPU devices. Device Management# size_t torch::xpu::device_count()# Returns the number of XPU devices available. bool torch::xpu::is_available()# Returns true if at least one XPU device is available. void torch::xpu::synchronize(int64_t device_index)# Waits for all kernels in all streams on a XPU device to complete. Example: #include \u003ctorch/torch.h\u003e if (torch::xpu::is_available()) { size_t num_devices = torch::xpu::device_count(); std::cout \u003c\u003c \"Found \" \u003c\u003c num_devices \u003c\u003c \" XPU device(s)\" \u003c\u003c std::endl; // Synchronize all streams on device 0 torch::xpu::synchronize(0); } Random Number Generation# void torch::xpu::manual_seed(uint64_t seed)# Sets the seed for the current GPU. void torch::xpu::manual_seed_all(uint64_t seed)# Sets the seed for all available GPUs. Example: // Set seed for reproducibility on current XPU device torch::xpu::manual_seed(42); // Set seed for all XPU devices torch::xpu::manual_seed_all(42);",
       "author": {
         "@type": "Organization",
         "name": "PyTorch Contributors",
         "url": "https://pytorch.org"
       },
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       "datePublished": "2023-01-01T00:00:00Z",
       "dateModified": "2023-01-01T00:00:00Z"
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