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mlx/mlx/backend/cuda/utils.h
Cheng 6e762fe2e2
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[CUDA] Migrate conv code to new cuDNN APIs (#2847)
2025-12-02 07:55:43 +09:00

47 lines
1.2 KiB
C++

// Copyright © 2025 Apple Inc.
// This file include utilities that are used by C++ code (i.e. .cpp files).
#pragma once
#include "mlx/array.h"
#include "mlx/backend/cuda/allocator.h"
#include "mlx/backend/cuda/cuda_utils.h"
namespace mlx::core {
template <typename T>
inline uint max_occupancy_block_dim(T kernel) {
int _, block_dim;
if constexpr (std::is_same_v<T, CUfunction>) {
CHECK_CUDA_ERROR(
cuOccupancyMaxPotentialBlockSize(&_, &block_dim, kernel, 0, 0, 0));
} else {
CHECK_CUDA_ERROR(
cudaOccupancyMaxPotentialBlockSize(&_, &block_dim, kernel));
}
return block_dim;
}
template <typename T>
inline T* gpu_ptr(array& arr) {
return reinterpret_cast<T*>(
static_cast<char*>(
static_cast<cu::CudaBuffer*>(arr.buffer().ptr())->data) +
arr.offset());
}
// For const array, keep constness in pointer unless it is untyped.
template <typename T>
inline std::conditional_t<std::is_same_v<T, void>, void*, const T*> gpu_ptr(
const array& arr) {
return gpu_ptr<T>(const_cast<array&>(arr));
}
struct Dtype;
// Convert Dtype to CUDA C++ types.
const char* dtype_to_cuda_type(const Dtype& dtype);
} // namespace mlx::core