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GET /api/patches/104662/?format=api
{ "id": 104662, "url": "http://patchwork.dpdk.org/api/patches/104662/?format=api", "web_url": "http://patchwork.dpdk.org/project/dpdk/patch/20211124183409.11181-1-eagostini@nvidia.com/", "project": { "id": 1, "url": "http://patchwork.dpdk.org/api/projects/1/?format=api", "name": "DPDK", "link_name": "dpdk", "list_id": "dev.dpdk.org", "list_email": "dev@dpdk.org", "web_url": "http://core.dpdk.org", "scm_url": "git://dpdk.org/dpdk", "webscm_url": "http://git.dpdk.org/dpdk", "list_archive_url": "https://inbox.dpdk.org/dev", "list_archive_url_format": "https://inbox.dpdk.org/dev/{}", "commit_url_format": "" }, "msgid": "<20211124183409.11181-1-eagostini@nvidia.com>", "list_archive_url": "https://inbox.dpdk.org/dev/20211124183409.11181-1-eagostini@nvidia.com", "date": "2021-11-24T18:34:09", "name": "[v2] gpu/cuda: set rte_errno", "commit_ref": null, "pull_url": null, "state": "accepted", "archived": true, "hash": "250300e41bba1ac9d1177b330185f4dbc80e4fb5", "submitter": { "id": 1571, "url": "http://patchwork.dpdk.org/api/people/1571/?format=api", "name": "Elena Agostini", "email": "eagostini@nvidia.com" }, "delegate": null, "mbox": "http://patchwork.dpdk.org/project/dpdk/patch/20211124183409.11181-1-eagostini@nvidia.com/mbox/", "series": [ { "id": 20743, "url": "http://patchwork.dpdk.org/api/series/20743/?format=api", "web_url": "http://patchwork.dpdk.org/project/dpdk/list/?series=20743", "date": "2021-11-24T18:34:09", "name": "[v2] gpu/cuda: set rte_errno", "version": 2, "mbox": "http://patchwork.dpdk.org/series/20743/mbox/" } ], "comments": "http://patchwork.dpdk.org/api/patches/104662/comments/", "check": "success", "checks": "http://patchwork.dpdk.org/api/patches/104662/checks/", "tags": {}, "related": [], "headers": { "Return-Path": "<dev-bounces@dpdk.org>", "X-Original-To": "patchwork@inbox.dpdk.org", "Delivered-To": "patchwork@inbox.dpdk.org", "Received": [ "from mails.dpdk.org (mails.dpdk.org [217.70.189.124])\n\tby inbox.dpdk.org (Postfix) with ESMTP id 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"Subject": "[PATCH v2] gpu/cuda: set rte_errno", "Date": "Wed, 24 Nov 2021 18:34:09 +0000", "Message-ID": "<20211124183409.11181-1-eagostini@nvidia.com>", "X-Mailer": "git-send-email 2.17.1", "In-Reply-To": "<20211118204527.26524-1-eagostini@nvidia.com>", "References": "<20211118204527.26524-1-eagostini@nvidia.com>", "MIME-Version": "1.0", "Content-Type": "text/plain", "X-Originating-IP": "[172.20.187.5]", "X-ClientProxiedBy": "HQMAIL105.nvidia.com (172.20.187.12) To\n HQMAIL107.nvidia.com (172.20.187.13)", "X-EOPAttributedMessage": "0", "X-MS-PublicTrafficType": "Email", "X-MS-Office365-Filtering-Correlation-Id": "c710fedf-84cc-44d0-6948-08d9af3484d7", "X-MS-TrafficTypeDiagnostic": "MN2PR12MB3632:", "X-Microsoft-Antispam-PRVS": "\n <MN2PR12MB3632558294D15814D00C0581CD619@MN2PR12MB3632.namprd12.prod.outlook.com>", "X-MS-Oob-TLC-OOBClassifiers": "OLM:561;", "X-MS-Exchange-SenderADCheck": "1", "X-MS-Exchange-AntiSpam-Relay": "0", "X-Microsoft-Antispam": "BCL:0;", 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SFS:(4636009)(36840700001)(46966006)(7696005)(426003)(5660300002)(70206006)(508600001)(83380400001)(6916009)(336012)(82310400004)(55016003)(70586007)(6666004)(36860700001)(1076003)(186003)(47076005)(2876002)(36756003)(16526019)(4326008)(7636003)(107886003)(86362001)(2616005)(8676002)(8936002)(2906002)(6286002)(30864003)(356005)(316002)(26005);\n DIR:OUT; SFP:1101;", "X-OriginatorOrg": "Nvidia.com", "X-MS-Exchange-CrossTenant-OriginalArrivalTime": "24 Nov 2021 10:23:54.2001 (UTC)", "X-MS-Exchange-CrossTenant-Network-Message-Id": "\n c710fedf-84cc-44d0-6948-08d9af3484d7", "X-MS-Exchange-CrossTenant-Id": "43083d15-7273-40c1-b7db-39efd9ccc17a", "X-MS-Exchange-CrossTenant-OriginalAttributedTenantConnectingIp": "\n TenantId=43083d15-7273-40c1-b7db-39efd9ccc17a; Ip=[216.228.112.34];\n Helo=[mail.nvidia.com]", "X-MS-Exchange-CrossTenant-AuthSource": "\n BN8NAM11FT003.eop-nam11.prod.protection.outlook.com", "X-MS-Exchange-CrossTenant-AuthAs": "Anonymous", "X-MS-Exchange-CrossTenant-FromEntityHeader": "HybridOnPrem", "X-MS-Exchange-Transport-CrossTenantHeadersStamped": "MN2PR12MB3632", "X-BeenThere": "dev@dpdk.org", "X-Mailman-Version": "2.1.29", "Precedence": "list", "List-Id": "DPDK patches and discussions <dev.dpdk.org>", "List-Unsubscribe": "<https://mails.dpdk.org/options/dev>,\n <mailto:dev-request@dpdk.org?subject=unsubscribe>", "List-Archive": "<http://mails.dpdk.org/archives/dev/>", "List-Post": "<mailto:dev@dpdk.org>", "List-Help": "<mailto:dev-request@dpdk.org?subject=help>", "List-Subscribe": "<https://mails.dpdk.org/listinfo/dev>,\n <mailto:dev-request@dpdk.org?subject=subscribe>", "Errors-To": "dev-bounces@dpdk.org" }, "content": "From: Elena Agostini <eagostini@nvidia.com>\n\nSet correct rte_errno variable in gpu/cuda and return\n-rte_errno in case of error.\n\nrte_errno values are compliant with the gpudev library\ndocumentation.\n\nFixes: 1306a73b1958 (\"gpu/cuda: introduce CUDA driver\")\n\nSigned-off-by: Elena Agostini <eagostini@nvidia.com>\n---\n drivers/gpu/cuda/cuda.c | 184 +++++++++++++++++++++++++++-------------\n 1 file changed, 123 insertions(+), 61 deletions(-)", "diff": "diff --git a/drivers/gpu/cuda/cuda.c b/drivers/gpu/cuda/cuda.c\nindex a4869da186..882df08e56 100644\n--- a/drivers/gpu/cuda/cuda.c\n+++ b/drivers/gpu/cuda/cuda.c\n@@ -464,8 +464,10 @@ cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)\n \tCUcontext current_ctx;\n \tCUcontext input_ctx;\n \n-\tif (dev == NULL)\n-\t\treturn -ENODEV;\n+\tif (dev == NULL) {\n+\t\trte_errno = ENODEV;\n+\t\treturn -rte_errno;\n+\t}\n \n \t/* Child initialization time probably called by rte_gpu_add_child() */\n \tif (dev->mpshared->info.parent != RTE_GPU_ID_NONE &&\n@@ -476,7 +478,8 @@ cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuCtxGetCurrent failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\t/* Set child ctx as current ctx */\n@@ -486,7 +489,8 @@ cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuCtxSetCurrent input failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\t/*\n@@ -505,8 +509,10 @@ cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)\n \t\t\t\t(uint32_t)affinityPrm.param.smCount.val;\n \n \t\tret = rte_gpu_info_get(dev->mpshared->info.parent, &parent_info);\n-\t\tif (ret)\n-\t\t\treturn -ENODEV;\n+\t\tif (ret) {\n+\t\t\trte_errno = ENODEV;\n+\t\t\treturn -rte_errno;\n+\t\t}\n \t\tdev->mpshared->info.total_memory = parent_info.total_memory;\n \n \t\t/*\n@@ -517,7 +523,8 @@ cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)\n \t\t\t\tRTE_CACHE_LINE_SIZE);\n \t\tif (dev->mpshared->dev_private == NULL) {\n \t\t\trte_cuda_log(ERR, \"Failed to allocate memory for GPU process private\");\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\tprivate = (struct cuda_info *)dev->mpshared->dev_private;\n@@ -527,7 +534,8 @@ cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuCtxGetDevice failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\tres = pfn_cuDeviceGetName(private->gpu_name,\n@@ -536,7 +544,8 @@ cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuDeviceGetName failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\t/* Restore original ctx as current ctx */\n@@ -545,7 +554,8 @@ cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuCtxSetCurrent current failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \t}\n \n@@ -576,7 +586,8 @@ cuda_mem_alloc(struct rte_gpu *dev, size_t size, void **ptr)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxGetCurrent failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t/* Set child ctx as current ctx */\n@@ -586,13 +597,16 @@ cuda_mem_alloc(struct rte_gpu *dev, size_t size, void **ptr)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxSetCurrent input failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t/* Get next memory list item */\n \tmem_alloc_list_tail = mem_list_add_item();\n-\tif (mem_alloc_list_tail == NULL)\n-\t\treturn -ENOMEM;\n+\tif (mem_alloc_list_tail == NULL) {\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n+\t}\n \n \t/* Allocate memory */\n \tmem_alloc_list_tail->size = size;\n@@ -602,7 +616,8 @@ cuda_mem_alloc(struct rte_gpu *dev, size_t size, void **ptr)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxSetCurrent current failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t/* GPUDirect RDMA attribute required */\n@@ -613,7 +628,8 @@ cuda_mem_alloc(struct rte_gpu *dev, size_t size, void **ptr)\n \t\trte_cuda_log(ERR, \"Could not set SYNC MEMOP attribute for \"\n \t\t\t\t\"GPU memory at %\"PRIu32\", err %d\",\n \t\t\t\t(uint32_t)mem_alloc_list_tail->ptr_d, res);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tmem_alloc_list_tail->pkey = get_hash_from_ptr((void *)mem_alloc_list_tail->ptr_d);\n@@ -629,7 +645,8 @@ cuda_mem_alloc(struct rte_gpu *dev, size_t size, void **ptr)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxSetCurrent current failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t*ptr = (void *)mem_alloc_list_tail->ptr_d;\n@@ -656,7 +673,8 @@ cuda_mem_register(struct rte_gpu *dev, size_t size, void *ptr)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxGetCurrent failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t/* Set child ctx as current ctx */\n@@ -666,13 +684,16 @@ cuda_mem_register(struct rte_gpu *dev, size_t size, void *ptr)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxSetCurrent input failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t/* Get next memory list item */\n \tmem_alloc_list_tail = mem_list_add_item();\n-\tif (mem_alloc_list_tail == NULL)\n-\t\treturn -ENOMEM;\n+\tif (mem_alloc_list_tail == NULL) {\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n+\t}\n \n \t/* Allocate memory */\n \tmem_alloc_list_tail->size = size;\n@@ -688,7 +709,8 @@ cuda_mem_register(struct rte_gpu *dev, size_t size, void *ptr)\n \t\t\t\terr_string,\n \t\t\t\tmem_alloc_list_tail->ptr_h,\n \t\t\t\tmem_alloc_list_tail->size);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tres = pfn_cuDeviceGetAttribute(&(use_ptr_h),\n@@ -698,7 +720,8 @@ cuda_mem_register(struct rte_gpu *dev, size_t size, void *ptr)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuDeviceGetAttribute failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tif (use_ptr_h == 0) {\n@@ -708,13 +731,15 @@ cuda_mem_register(struct rte_gpu *dev, size_t size, void *ptr)\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuMemHostGetDevicePointer failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\tif ((uintptr_t)mem_alloc_list_tail->ptr_d !=\n \t\t\t\t(uintptr_t)mem_alloc_list_tail->ptr_h) {\n \t\t\trte_cuda_log(ERR, \"Host input pointer is different wrt GPU registered pointer\");\n-\t\t\treturn -ENOTSUP;\n+\t\t\trte_errno = ENOTSUP;\n+\t\t\treturn -rte_errno;\n \t\t}\n \t} else {\n \t\tmem_alloc_list_tail->ptr_d = (CUdeviceptr)mem_alloc_list_tail->ptr_h;\n@@ -727,7 +752,8 @@ cuda_mem_register(struct rte_gpu *dev, size_t size, void *ptr)\n \tif (res != 0) {\n \t\trte_cuda_log(ERR, \"Could not set SYNC MEMOP attribute for GPU memory at %\"PRIu32\n \t\t\t\t\", err %d\", (uint32_t)mem_alloc_list_tail->ptr_d, res);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tmem_alloc_list_tail->pkey = get_hash_from_ptr((void *)mem_alloc_list_tail->ptr_h);\n@@ -742,7 +768,8 @@ cuda_mem_register(struct rte_gpu *dev, size_t size, void *ptr)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxSetCurrent current failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \treturn 0;\n@@ -764,7 +791,8 @@ cuda_mem_free(struct rte_gpu *dev, void *ptr)\n \tmem_item = mem_list_find_item(hk);\n \tif (mem_item == NULL) {\n \t\trte_cuda_log(ERR, \"Memory address 0x%p not found in driver memory\", ptr);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tif (mem_item->mtype == GPU_MEM) {\n@@ -773,7 +801,8 @@ cuda_mem_free(struct rte_gpu *dev, void *ptr)\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuMemFree current failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\treturn mem_list_del_item(hk);\n@@ -800,7 +829,8 @@ cuda_mem_unregister(struct rte_gpu *dev, void *ptr)\n \tmem_item = mem_list_find_item(hk);\n \tif (mem_item == NULL) {\n \t\trte_cuda_log(ERR, \"Memory address 0x%p not found in driver memory\", ptr);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tif (mem_item->mtype == CPU_REGISTERED) {\n@@ -809,7 +839,8 @@ cuda_mem_unregister(struct rte_gpu *dev, void *ptr)\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuMemHostUnregister current failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\treturn mem_list_del_item(hk);\n@@ -817,7 +848,8 @@ cuda_mem_unregister(struct rte_gpu *dev, void *ptr)\n \n \trte_cuda_log(ERR, \"Memory type %d not supported\", mem_item->mtype);\n \n-\treturn -EPERM;\n+\trte_errno = EPERM;\n+\treturn -rte_errno;\n }\n \n static int\n@@ -840,8 +872,10 @@ cuda_wmb(struct rte_gpu *dev)\n \tCUcontext input_ctx;\n \tstruct cuda_info *private;\n \n-\tif (dev == NULL)\n-\t\treturn -ENODEV;\n+\tif (dev == NULL) {\n+\t\trte_errno = ENODEV;\n+\t\treturn -rte_errno;\n+\t}\n \n \tprivate = (struct cuda_info *)dev->mpshared->dev_private;\n \n@@ -860,7 +894,9 @@ cuda_wmb(struct rte_gpu *dev)\n \t\t */\n \t\trte_cuda_log(WARNING, \"Can't flush GDR writes with cuFlushGPUDirectRDMAWrites CUDA function.\"\n \t\t\t\t\"Application needs to use alternative methods.\");\n-\t\treturn -ENOTSUP;\n+\n+\t\trte_errno = ENOTSUP;\n+\t\treturn -rte_errno;\n \t}\n \n \t/* Store current ctx */\n@@ -869,7 +905,8 @@ cuda_wmb(struct rte_gpu *dev)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxGetCurrent failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t/* Set child ctx as current ctx */\n@@ -879,7 +916,8 @@ cuda_wmb(struct rte_gpu *dev)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxSetCurrent input failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tres = pfn_cuFlushGPUDirectRDMAWrites(CU_FLUSH_GPU_DIRECT_RDMA_WRITES_TARGET_CURRENT_CTX,\n@@ -888,7 +926,8 @@ cuda_wmb(struct rte_gpu *dev)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuFlushGPUDirectRDMAWrites current failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t/* Restore original ctx as current ctx */\n@@ -897,7 +936,8 @@ cuda_wmb(struct rte_gpu *dev)\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuCtxSetCurrent current failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \treturn 0;\n@@ -917,15 +957,18 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \n \tif (pci_dev == NULL) {\n \t\trte_cuda_log(ERR, \"NULL PCI device\");\n-\t\treturn -EINVAL;\n+\t\trte_errno = ENODEV;\n+\t\treturn -rte_errno;\n \t}\n \n \trte_pci_device_name(&pci_dev->addr, dev_name, sizeof(dev_name));\n \n \t/* Allocate memory to be used privately by drivers */\n \tdev = rte_gpu_allocate(pci_dev->device.name);\n-\tif (dev == NULL)\n-\t\treturn -ENODEV;\n+\tif (dev == NULL) {\n+\t\trte_errno = ENODEV;\n+\t\treturn -rte_errno;\n+\t}\n \n \t/* Initialize values only for the first CUDA driver call */\n \tif (dev->mpshared->info.dev_id == 0) {\n@@ -936,13 +979,15 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\t/* Load libcuda.so library */\n \t\tif (cuda_loader()) {\n \t\t\trte_cuda_log(ERR, \"CUDA Driver library not found\");\n-\t\t\treturn -ENOTSUP;\n+\t\t\trte_errno = ENOTSUP;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\t/* Load initial CUDA functions */\n \t\tif (cuda_sym_func_loader()) {\n \t\t\trte_cuda_log(ERR, \"CUDA functions not found in library\");\n-\t\t\treturn -ENOTSUP;\n+\t\t\trte_errno = ENOTSUP;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\t/*\n@@ -955,7 +1000,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\tres = sym_cuDriverGetVersion(&cuda_driver_version);\n \t\tif (res != 0) {\n \t\t\trte_cuda_log(ERR, \"cuDriverGetVersion failed with %d\", res);\n-\t\t\treturn -ENOTSUP;\n+\t\t\trte_errno = ENOTSUP;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\tif (cuda_driver_version < CUDA_DRIVER_MIN_VERSION) {\n@@ -963,12 +1009,14 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\t\t\t\t\"Minimum requirement is %d\",\n \t\t\t\t\tcuda_driver_version,\n \t\t\t\t\tCUDA_DRIVER_MIN_VERSION);\n-\t\t\treturn -ENOTSUP;\n+\t\t\trte_errno = ENOTSUP;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\tif (cuda_pfn_func_loader()) {\n \t\t\trte_cuda_log(ERR, \"CUDA PFN functions not found in library\");\n-\t\t\treturn -ENOTSUP;\n+\t\t\trte_errno = ENOTSUP;\n+\t\t\treturn -rte_errno;\n \t\t}\n \t}\n \n@@ -982,7 +1030,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuDeviceGetByPCIBusId name %s failed with %d: %s\",\n \t\t\t\tdev->device->name, res, err_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tres = pfn_cuDevicePrimaryCtxRetain(&pctx, cu_dev_id);\n@@ -990,19 +1039,22 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuDevicePrimaryCtxRetain name %s failed with %d: %s\",\n \t\t\t\tdev->device->name, res, err_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tres = pfn_cuCtxGetApiVersion(pctx, &cuda_api_version);\n \tif (res != 0) {\n \t\trte_cuda_log(ERR, \"cuCtxGetApiVersion failed with %d\", res);\n-\t\treturn -ENOTSUP;\n+\t\trte_errno = ENOTSUP;\n+\t\treturn -rte_errno;\n \t}\n \n \tif (cuda_api_version < CUDA_API_MIN_VERSION) {\n \t\trte_cuda_log(ERR, \"CUDA API version found is %d Minimum requirement is %d\",\n \t\t\t\tcuda_api_version, CUDA_API_MIN_VERSION);\n-\t\treturn -ENOTSUP;\n+\t\trte_errno = ENOTSUP;\n+\t\treturn -rte_errno;\n \t}\n \n \tdev->mpshared->info.context = (uint64_t)pctx;\n@@ -1019,7 +1071,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuDeviceGetAttribute failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \tdev->mpshared->info.processor_count = (uint32_t)processor_count;\n \n@@ -1029,7 +1082,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuDeviceTotalMem failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \t/*\n@@ -1040,7 +1094,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\t\tRTE_CACHE_LINE_SIZE);\n \tif (dev->mpshared->dev_private == NULL) {\n \t\trte_cuda_log(ERR, \"Failed to allocate memory for GPU process private\");\n-\t\treturn -ENOMEM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tprivate = (struct cuda_info *)dev->mpshared->dev_private;\n@@ -1052,7 +1107,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuDeviceGetName failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tres = pfn_cuDeviceGetAttribute(&(private->gdr_supported),\n@@ -1062,7 +1118,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\tpfn_cuGetErrorString(res, &(err_string));\n \t\trte_cuda_log(ERR, \"cuDeviceGetAttribute failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tif (private->gdr_supported == 0)\n@@ -1077,7 +1134,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\trte_cuda_log(ERR,\n \t\t\t\t\"cuDeviceGetAttribute failed with %s\",\n \t\t\t\terr_string);\n-\t\treturn -EPERM;\n+\t\trte_errno = EPERM;\n+\t\treturn -rte_errno;\n \t}\n \n \tif (private->gdr_write_ordering == CU_GPU_DIRECT_RDMA_WRITES_ORDERING_NONE) {\n@@ -1088,7 +1146,8 @@ cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct rte_pci_devic\n \t\t\tpfn_cuGetErrorString(res, &(err_string));\n \t\t\trte_cuda_log(ERR, \"cuDeviceGetAttribute failed with %s\",\n \t\t\t\t\terr_string);\n-\t\t\treturn -EPERM;\n+\t\t\trte_errno = EPERM;\n+\t\t\treturn -rte_errno;\n \t\t}\n \n \t\tif (private->gdr_flush_type != CU_FLUSH_GPU_DIRECT_RDMA_WRITES_OPTION_HOST)\n@@ -1118,14 +1177,17 @@ cuda_gpu_remove(struct rte_pci_device *pci_dev)\n \tint ret;\n \tuint8_t gpu_id;\n \n-\tif (pci_dev == NULL)\n-\t\treturn -EINVAL;\n+\tif (pci_dev == NULL) {\n+\t\trte_errno = ENODEV;\n+\t\treturn -rte_errno;\n+\t}\n \n \tdev = rte_gpu_get_by_name(pci_dev->device.name);\n \tif (dev == NULL) {\n \t\trte_cuda_log(ERR, \"Couldn't find HW dev \\\"%s\\\" to uninitialise it\",\n \t\t\t\tpci_dev->device.name);\n-\t\treturn -ENODEV;\n+\t\trte_errno = ENODEV;\n+\t\treturn -rte_errno;\n \t}\n \tgpu_id = dev->mpshared->info.dev_id;\n \n", "prefixes": [ "v2" ] }