wehub-resource-sync
128 lines
5.1 KiB
Python
128 lines
5.1 KiB
Python
#!/usr/bin/env python3
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#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import numpy as np
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import logging
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from cuda.bindings import driver as cuda, runtime as cudart
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class CudaStreamContext:
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"""CUDA stream lifecycle management with context manager support"""
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def __init__(self):
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"""Initialize CUDA stream"""
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self._stream = cuda_call(cudart.cudaStreamCreate())
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def __enter__(self):
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"""Create CUDA stream when entering context (if not already created)"""
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if self._stream is None:
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self._stream = cuda_call(cudart.cudaStreamCreate())
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return self
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def __exit__(self, exc_type, exc_val, exc_tb):
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"""Destroy CUDA stream when exiting context"""
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self.free()
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@property
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def stream(self) -> cudart.cudaStream_t:
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if self._stream is None:
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raise RuntimeError("Stream not created. Use 'with' statement.")
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return self._stream
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def synchronize(self):
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"""Synchronize the stream"""
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if self._stream is None:
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raise RuntimeError("Stream not created. Use 'with' statement.")
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cuda_call(cudart.cudaStreamSynchronize(self._stream))
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def free(self):
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"""Explicitly free the CUDA stream"""
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if self._stream is not None:
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try:
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cuda_call(cudart.cudaStreamDestroy(self._stream))
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self._stream = None
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except Exception as e:
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logging.warning(f"Failed to destroy CUDA stream: {e}")
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def __del__(self):
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"""Cleanup stream on destruction"""
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if hasattr(self, '_stream') and self._stream is not None:
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self.free()
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def __str__(self):
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return f"CudaStreamContext: {self._stream}"
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def __repr__(self):
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return self.__str__()
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def cuda_call(call):
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"""Helper function to make CUDA calls and check for errors"""
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def _cudaGetErrorEnum(error):
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if isinstance(error, cuda.CUresult):
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err, name = cuda.cuGetErrorName(error)
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return name if err == cuda.CUresult.CUDA_SUCCESS else "<unknown>"
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elif isinstance(error, cudart.cudaError_t):
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return cudart.cudaGetErrorName(error)[1]
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else:
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raise RuntimeError("Unknown error type: {}".format(error))
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err, res = call[0], call[1:]
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if err.value:
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raise RuntimeError(
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"CUDA error code={}({})".format(
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err.value, _cudaGetErrorEnum(err)
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)
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)
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if len(res) == 1:
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return res[0]
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elif len(res) == 0:
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return None
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else:
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return res
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def getComputeCapacity(devID=0):
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major = cuda_call(cudart.cudaDeviceGetAttribute(cudart.cudaDeviceAttr.cudaDevAttrComputeCapabilityMajor, devID))
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minor = cuda_call(cudart.cudaDeviceGetAttribute(cudart.cudaDeviceAttr.cudaDevAttrComputeCapabilityMinor, devID))
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return (major, minor)
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def memcpy_host_to_device_async(device_ptr: int, host_arr: np.ndarray, stream):
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"""Wrapper for async host-to-device memory copy"""
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cuda_call(cudart.cudaMemcpyAsync(device_ptr, host_arr.ctypes.data, host_arr.nbytes, cudart.cudaMemcpyKind.cudaMemcpyHostToDevice, stream))
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def memcpy_device_to_host_async(host_arr: np.ndarray, device_ptr: int, stream):
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"""Wrapper for async device-to-host memory copy"""
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cuda_call(cudart.cudaMemcpyAsync(host_arr.ctypes.data, device_ptr, host_arr.nbytes, cudart.cudaMemcpyKind.cudaMemcpyDeviceToHost, stream))
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def memcpy_device_to_device_async(dst_device_ptr: int, src_device_ptr: int, nbytes: int, stream):
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"""Wrapper for async device-to-device memory copy"""
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cuda_call(cudart.cudaMemcpyAsync(dst_device_ptr, src_device_ptr, nbytes, cudart.cudaMemcpyKind.cudaMemcpyDeviceToDevice, stream))
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def memcpy_host_to_device(device_ptr: int, host_arr: np.ndarray):
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"""Wrapper for synchronous host-to-device memory copy"""
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cuda_call(cudart.cudaMemcpy(device_ptr, host_arr.ctypes.data, host_arr.nbytes, cudart.cudaMemcpyKind.cudaMemcpyHostToDevice))
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def memcpy_device_to_host(host_arr: np.ndarray, device_ptr: int):
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"""Wrapper for synchronous device-to-host memory copy"""
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cuda_call(cudart.cudaMemcpy(host_arr.ctypes.data, device_ptr, host_arr.nbytes, cudart.cudaMemcpyKind.cudaMemcpyDeviceToHost))
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def memcpy_device_to_device(dst_device_ptr: int, src_device_ptr: int, nbytes: int):
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"""Wrapper for synchronous device-to-device memory copy"""
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cuda_call(cudart.cudaMemcpy(dst_device_ptr, src_device_ptr, nbytes, cudart.cudaMemcpyKind.cudaMemcpyDeviceToDevice))
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# Initialize CUDA
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cuda_call(cudart.cudaFree(0)) |