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can anyone help me with the gpu configuration? it works well on cpu but when i turn to the model to run on gpu it opens succefully all the related libraries but crashes it some step
#95
2022-02-04 13:35:36.159284: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-02-04 13:35:36.159373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9008 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3080, pci bus id: 0000:06:00.0, compute capability: 8.6)
2022-02-04 13:38:46.444608: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
2022-02-04 13:39:39.431728: E tensorflow/stream_executor/cuda/cuda_blas.cc:428] failed to run cuBLAS routine: CUBLAS_STATUS_EXECUTION_FAILED
2022-02-04 13:39:39.466299: W tensorflow/core/kernels/queue_base.cc:277] _0_padding_fifo_queue: Skipping cancelled enqueue attempt with queue not closed
Traceback (most recent call last):
File "/home/souid/anaconda3/envs/arabic_coref/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1356, in _do_call
return fn(*args)
File "/home/souid/anaconda3/envs/arabic_coref/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1341, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/home/souid/anaconda3/envs/arabic_coref/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found.
(0) Internal: Blas GEMM launch failed : a.shape=(30, 20), b.shape=(20, 3000), m=30, n=3000, k=20
[[{{node width_scores/xw_plus_b/MatMul}}]]
[[Sum/_687]]
(1) Internal: Blas GEMM launch failed : a.shape=(30, 20), b.shape=(20, 3000), m=30, n=3000, k=20
[[{{node width_scores/xw_plus_b/MatMul}}]]
0 successful operations.
0 derived errors ignored.
The text was updated successfully, but these errors were encountered:
2022-02-04 13:35:36.159284: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-02-04 13:35:36.159373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9008 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3080, pci bus id: 0000:06:00.0, compute capability: 8.6)
2022-02-04 13:38:46.444608: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
2022-02-04 13:39:39.431728: E tensorflow/stream_executor/cuda/cuda_blas.cc:428] failed to run cuBLAS routine: CUBLAS_STATUS_EXECUTION_FAILED
2022-02-04 13:39:39.466299: W tensorflow/core/kernels/queue_base.cc:277] _0_padding_fifo_queue: Skipping cancelled enqueue attempt with queue not closed
Traceback (most recent call last):
File "/home/souid/anaconda3/envs/arabic_coref/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1356, in _do_call
return fn(*args)
File "/home/souid/anaconda3/envs/arabic_coref/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1341, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/home/souid/anaconda3/envs/arabic_coref/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found.
(0) Internal: Blas GEMM launch failed : a.shape=(30, 20), b.shape=(20, 3000), m=30, n=3000, k=20
[[{{node width_scores/xw_plus_b/MatMul}}]]
[[Sum/_687]]
(1) Internal: Blas GEMM launch failed : a.shape=(30, 20), b.shape=(20, 3000), m=30, n=3000, k=20
[[{{node width_scores/xw_plus_b/MatMul}}]]
0 successful operations.
0 derived errors ignored.
The text was updated successfully, but these errors were encountered: