![]() Setting TF_CPP_MIN_LOG_LEVEL should still work (see below in v0.12+ update), but there was a reported issue for version 2.0 until 2.3.z fixed in 2.4 and later. ![]() I tensorflow/core/common_runtime/gpu/gpu_bfc_:51] Creating bin of max chunk size 1.0KiB I tensorflow/core/common_runtime/gpu/gpu_:717] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Graphics Device, pci bus id: 0000:04:00.0) I tensorflow/core/common_runtime/gpu/gpu_:136] 0: Y I tensorflow/core/common_runtime/gpu/gpu_:126] DMA: 0 Major: 5 minor: 2 memorålockRate (GHz) 1.0885 I tensorflow/core/common_runtime/gpu/gpu_:102] Found device 0 with properties: I tensorflow/stream_executor/cuda/cuda_gpu_:900] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero I tensorflow/stream_executor/dso_:105] successfully opened CUDA library libcurand.so locally I tensorflow/stream_executor/dso_:105] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_:105] successfully opened CUDA library libcufft.so locally I tensorflow/stream_executor/dso_:105] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_:105] successfully opened CUDA library libcublas.so locally By debugging information I mean what TensorFlow shows in my terminal about loaded libraries and found devices etc.
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