2022-08-07 14:55:41.443016: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.444582: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.444796: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.445032: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1943] TensorFlow was not built with CUDA kernel binaries compatible with compute capability 5.0. CUDA kernels will be jit-compiled from PTX, which could take 30 minutes or longer.
2022-08-07 14:55:41.445235: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-08-07 14:55:41.446078: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.446304: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.446567: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.446669: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1943] TensorFlow was not built with CUDA kernel binaries compatible with compute capability 5.0. CUDA kernels will be jit-compiled from PTX, which could take 30 minutes or longer.
2022-08-07 14:55:41.476670: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.476816: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.476932: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-08-07 14:55:41.477031: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1747 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 750 Ti, pci bus id: 0000:01:00.0, compute capability: 5.0
2022-08-07 14:55:41.477225: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
2022-08-07 14:55:41.491297: F ./tensorflow/core/kernels/random_op_gpu.h:244] Non-OK-status: GpuLaunchKernel(FillPhiloxRandomKernelLaunch<Distribution>, num_blocks, block_size, 0, d.stream(), key, counter, gen, data, size, dist) status: INTERNAL: no kernel image is available for execution on the device