hf_text-generation-inference/backends/trtllm/include/hardware.h

60 lines
1.7 KiB
C++

//
// Created by mfuntowicz on 7/23/24.
//
#ifndef TGI_TRTLLM_BACKEND_HARDWARE_H
#define TGI_TRTLLM_BACKEND_HARDWARE_H
#include <cstdint>
#include <limits>
#include <fmt/base.h>
#include <spdlog/spdlog.h>
#include <nvml.h>
namespace huggingface::hardware::cuda {
#define AMPERE_SM_MAJOR 8
#define HOPPER_SM_MAJOR 8
/**
* Store information about the version of the CUDA Compute Capabilities detected on the device
*/
struct CudaComputeCapabilities {
int32_t major;
int32_t minor;
[[nodiscard]] constexpr bool isPostAmpere() const { return major >= AMPERE_SM_MAJOR; }
[[nodiscard]] constexpr bool isPostHopper() const { return major >= HOPPER_SM_MAJOR; }
};
CudaComputeCapabilities GetCudaComputeCapabilities() {
// Get the compute capabilities of the current hardware
nvmlDevice_t device;
CudaComputeCapabilities capabilities{0, 0};
if (nvmlDeviceGetHandleByIndex_v2(0, &device) == NVML_SUCCESS) {
SPDLOG_DEBUG("Successfully acquired nvmlDevice_t = 0");
if (nvmlDeviceGetCudaComputeCapability(device, &capabilities.major, &capabilities.minor) == NVML_SUCCESS) {
SPDLOG_INFO("Detected sm_{:d}{:d} compute capabilities", capabilities.major, capabilities.minor);
}
}
return capabilities;
}
/**
* Return the number of GPU detected. If no GPU is detected, return size_t::max()
* @return
*/
std::optional<size_t> GetNumDevices() {
uint32_t numGpus = 0;
if (nvmlDeviceGetCount_v2(&numGpus) == NVML_SUCCESS) {
return std::optional(numGpus);
} else {
return std::nullopt;
}
}
}
#endif //TGI_TRTLLM_BACKEND_HARDWARE_H