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Я пытался запустить Tensorflow на k40m GPU и получил ошибку:Tensorflow не удалось запустить на графических процессорах k20m и k40m
F tensorflow/stream_executor/cuda/cuda_driver.cc:383] Check failed: CUDA_SUCCESS == dynload::cuCtxSetCurrent(context) (0 vs. 216)
Выданный могут быть воспроизведены на k40m и k20m GPU: https://github.com/tensorflow/tensorflow/issues/526
Кто-нибудь знает исправление?
Подробный журнал:
++ python cifar10_train.py
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so.7.5 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so.7.5 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so.4 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so.7.5 locally
Filling queue with 20000 CIFAR images before starting to train. This will take a few minutes.
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties:
name: Tesla K40m
major: 3 minor: 5 memoryClockRate (GHz) 0.745
pciBusID 0000:08:00.0
Total memory: 11.25GiB
Free memory: 11.15GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:718] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K40m, pci bus id: 0000:08:00.0)
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 256B
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 512B
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 1.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 2.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 4.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 8.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 16.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 32.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 64.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 128.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 256.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 512.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 1.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 2.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 4.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 8.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 16.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 32.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 64.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 128.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:53] Creating bin of max chunk size 256.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:107] Allocating 10.60GiB bytes.
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:118] GPU 0 memory begins at 0x13047a0000 extends to 0x15aaa4019a
F tensorflow/stream_executor/cuda/cuda_driver.cc:383] Check failed: CUDA_SUCCESS == dynload::cuCtxSetCurrent(context) (0 vs. 216)
./run.sh: line 4: 33880 Aborted python cifar10_train.py