level 1
夢魇拾忆
楼主
程序在本地运行正常，但是放到django容器里就会出现内存申请失败
name: NVIDIA GeForce GTX 1060 with Max-Q Design major: 6 minor: 1 memoryClockRate(GHz): 1.3415
pciBusID: 0000:01:00.0
totalMemory: 6.00GiB freeMemory: 5.11GiB
2022-05-07 20:12:12.233937: W T:\src\github\tensorflow\tensorflow\core\common_runtime\bfc_allocator.cc:219] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.14GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2022-05-07 20:12:12.985232: W T:\src\github\tensorflow\tensorflow\core\common_runtime\bfc_allocator.cc:219] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.25GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2022年05月07日 12点05分
1
name: NVIDIA GeForce GTX 1060 with Max-Q Design major: 6 minor: 1 memoryClockRate(GHz): 1.3415
pciBusID: 0000:01:00.0
totalMemory: 6.00GiB freeMemory: 5.11GiB
2022-05-07 20:12:12.233937: W T:\src\github\tensorflow\tensorflow\core\common_runtime\bfc_allocator.cc:219] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.14GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2022-05-07 20:12:12.985232: W T:\src\github\tensorflow\tensorflow\core\common_runtime\bfc_allocator.cc:219] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.25GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.