Hello,
I ran into the following error when running the final prediction command: cryoCARE_predict.py --conf predict_config.json
2025-01-03 11:19:44.871539: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2025-01-03 11:19:44.872627: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:3 with 45266 MB memory) -> physical GPU (device: 3, name: NVIDIA RTX A6000, pci bus id: 0000:61:00.0, compute capability: 8.6)
Loading network weights from 'weights_best.h5'.
(208, 1264, 928, 1)
2025-01-03 11:19:53.903428: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2025-01-03 11:19:53.921961: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 3593075000 Hz
2025-01-03 11:19:55.220327: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once.
2025-01-03 11:19:55.220463: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-01-03 11:19:56.573105: F tensorflow/stream_executor/cuda/cuda_dnn.cc:88] Check failed: narrow == wide (-391249920 vs. 3903717376)checked narrowing failed; values not equal post-conversion
Aborted (core dumped)
Below are my Tensorflow and nvcc versions:
pip show tensorflow
Name: tensorflow
Version: 2.4.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /home/csun/miniconda3/envs/cryocare_11/lib/python3.8/site-packages
Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras-preprocessing, numpy, opt-einsum, protobuf, six, tensorboard, tensorflow-estimator, termcolor, typing-extensions, wheel, wrapt
Required-by:
nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Fri_Jun_14_16:34:21_PDT_2024
Cuda compilation tools, release 12.6, V12.6.20
Build cuda_12.6.r12.6/compiler.34431801_0
Has anyone seen the same error? How should I work around it?
Best,
Chen
Hello,
I ran into the following error when running the final prediction command: cryoCARE_predict.py --conf predict_config.json
2025-01-03 11:19:44.871539: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2025-01-03 11:19:44.872627: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:3 with 45266 MB memory) -> physical GPU (device: 3, name: NVIDIA RTX A6000, pci bus id: 0000:61:00.0, compute capability: 8.6)
Loading network weights from 'weights_best.h5'.
(208, 1264, 928, 1)
2025-01-03 11:19:53.903428: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2025-01-03 11:19:53.921961: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 3593075000 Hz
2025-01-03 11:19:55.220327: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once.
2025-01-03 11:19:55.220463: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-01-03 11:19:56.573105: F tensorflow/stream_executor/cuda/cuda_dnn.cc:88] Check failed: narrow == wide (-391249920 vs. 3903717376)checked narrowing failed; values not equal post-conversion
Aborted (core dumped)
Below are my Tensorflow and nvcc versions:
pip show tensorflow
Name: tensorflow
Version: 2.4.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /home/csun/miniconda3/envs/cryocare_11/lib/python3.8/site-packages
Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras-preprocessing, numpy, opt-einsum, protobuf, six, tensorboard, tensorflow-estimator, termcolor, typing-extensions, wheel, wrapt
Required-by:
nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Fri_Jun_14_16:34:21_PDT_2024
Cuda compilation tools, release 12.6, V12.6.20
Build cuda_12.6.r12.6/compiler.34431801_0
Has anyone seen the same error? How should I work around it?
Best,
Chen