101 lines
4.4 KiB
C++
101 lines
4.4 KiB
C++
#pragma once
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#include <c10/cuda/CUDADeviceAssertionHost.h>
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#include <c10/cuda/CUDAMacros.h>
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#include <c10/cuda/CUDAMiscFunctions.h>
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#include <c10/macros/Macros.h>
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#include <c10/util/Exception.h>
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#include <c10/util/irange.h>
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#include <cuda.h>
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// Note [CHECK macro]
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// ~~~~~~~~~~~~~~~~~~
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// This is a macro so that AT_ERROR can get accurate __LINE__
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// and __FILE__ information. We could split this into a short
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// macro and a function implementation if we pass along __LINE__
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// and __FILE__, but no one has found this worth doing.
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// Used to denote errors from CUDA framework.
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// This needs to be declared here instead util/Exception.h for proper conversion
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// during hipify.
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namespace c10 {
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class C10_CUDA_API CUDAError : public c10::Error {
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using Error::Error;
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};
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} // namespace c10
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#define C10_CUDA_CHECK(EXPR) \
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do { \
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const cudaError_t __err = EXPR; \
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c10::cuda::c10_cuda_check_implementation( \
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static_cast<int32_t>(__err), \
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__FILE__, \
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__func__, /* Line number data type not well-defined between \
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compilers, so we perform an explicit cast */ \
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static_cast<uint32_t>(__LINE__), \
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true); \
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} while (0)
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#define C10_CUDA_CHECK_WARN(EXPR) \
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do { \
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const cudaError_t __err = EXPR; \
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if (C10_UNLIKELY(__err != cudaSuccess)) { \
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auto error_unused C10_UNUSED = cudaGetLastError(); \
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(void)error_unused; \
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TORCH_WARN("CUDA warning: ", cudaGetErrorString(__err)); \
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} \
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} while (0)
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// Indicates that a CUDA error is handled in a non-standard way
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#define C10_CUDA_ERROR_HANDLED(EXPR) EXPR
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// Intentionally ignore a CUDA error
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#define C10_CUDA_IGNORE_ERROR(EXPR) \
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do { \
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const cudaError_t __err = EXPR; \
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if (C10_UNLIKELY(__err != cudaSuccess)) { \
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cudaError_t error_unused C10_UNUSED = cudaGetLastError(); \
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(void)error_unused; \
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} \
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} while (0)
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// Clear the last CUDA error
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#define C10_CUDA_CLEAR_ERROR() \
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do { \
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cudaError_t error_unused C10_UNUSED = cudaGetLastError(); \
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(void)error_unused; \
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} while (0)
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// This should be used directly after every kernel launch to ensure
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// the launch happened correctly and provide an early, close-to-source
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// diagnostic if it didn't.
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#define C10_CUDA_KERNEL_LAUNCH_CHECK() C10_CUDA_CHECK(cudaGetLastError())
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/// Launches a CUDA kernel appending to it all the information need to handle
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/// device-side assertion failures. Checks that the launch was successful.
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#define TORCH_DSA_KERNEL_LAUNCH( \
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kernel, blocks, threads, shared_mem, stream, ...) \
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do { \
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auto& launch_registry = \
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c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref(); \
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kernel<<<blocks, threads, shared_mem, stream>>>( \
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__VA_ARGS__, \
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launch_registry.get_uvm_assertions_ptr_for_current_device(), \
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launch_registry.insert( \
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__FILE__, __FUNCTION__, __LINE__, #kernel, stream.id())); \
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C10_CUDA_KERNEL_LAUNCH_CHECK(); \
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} while (0)
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namespace c10::cuda {
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/// In the event of a CUDA failure, formats a nice error message about that
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/// failure and also checks for device-side assertion failures
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C10_CUDA_API void c10_cuda_check_implementation(
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const int32_t err,
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const char* filename,
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const char* function_name,
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const int line_number,
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const bool include_device_assertions);
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} // namespace c10::cuda
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