I've preinstalled TensorFlow 2.5.0, CUDA 11.2 and cuDNn 8.1 (according to official tensorflow, and all the checks of the system worked (gtx 1650), windows10. But when I started to load my CNN code, I've got an error "An error occurred while starting the kernel" (see below). I use spyder 5.0.3 (same with v.4) through anaconda within python 3.8.Could anyone guide me within the possible solution?
Thanks in advance!
An error ocurred while starting the kernel2021 12:45:24.772944: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll2021 12:45:26.321211: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll2021 12:45:27.669015: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:pciBusID: 0000:5a:00.0 name: NVIDIA GeForce GTX 1650 with Max‑Q Design computeCapability: 7.5coreClock: 1.155GHz coreCount: 14 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 149.04GiB/s2021 12:45:27.670447: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll2021 12:45:27.694891: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll2021 12:45:27.694926: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll2021 12:45:27.710466: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll2021 12:45:27.714065: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll2021 12:45:27.733820: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusolver64_11.dll2021 12:45:27.746203: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll2021 12:45:27.746885: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll2021 12:45:27.746979: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 02021 12:45:27.747224: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance‑critical operations: AVX AVX2To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.2021 12:45:27.747673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:pciBusID: 0000:5a:00.0 name: NVIDIA GeForce GTX 1650 with Max‑Q Design computeCapability: 7.5coreClock: 1.155GHz coreCount: 14 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 149.04GiB/s2021 12:45:27.747791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 02021 12:45:28.170239: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:2021 12:45:28.170287: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 02021 12:45:28.170293: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N2021 12:45:28.170452: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2150 MB memory) ‑> physical GPU (device: 0, name: NVIDIA GeForce GTX 1650 with Max‑Q Design, pci bus id: 0000:5a:00.0, compute capability: 7.5)2021 12:45:28.477335: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2)2021 12:45:39.004978: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll