torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 31.75 GiB total capacity; 30.99 GiB already allocated; 48.75 MiB free; 30.99 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentatio...
*/ | ^~~~ E:/ASOFTWARE/ESP/container/v5.3.1/esp-idf/components/freertos/FreeRTOS-Kernel/include/freertos/queue.h:55:36: error: storage class specified for parameter 'QueueHandle_t' 55 | typedef struct QueueDefinition * QueueHandle_t; | ^~~~ E:/ASOFTWARE/ESP/container/v5.3.1/esp-...
ERROR:root:Failed to execute the training process: The shape of the mask [0] at index 0 does not match the shape of the indexed tensor [1, 4096, 320] at index 0
particularly those related to the TensorRT engine build and metadata handling. You may need to reconvert your ONNX model to the TensorRT engine, making sure to specify the correct task and check the integrity of the model and metadata files. ...
axon:5021:5090 [2] NCCL INFO channel.cc:52 Cuda Alloc Size 16 pointer 0x7f04e4001200 axon:5021:5090 [2] NCCL INFO Allocated 9637892 bytes of shared memory in /dev/shm/nccl-IzK0tQ axon:5022:5092 [3] NCCL INFO Mem Realloc old size 0, new size 8 pointer 0x7f9984004f00 ...
Hi, I retrained the detect model (ssd-mobilenet-v2) with my own dataset and successfully converted it to ONNX and now trying to run it on Jetson Nano 4G kit. I used this command: ./detectnet --model=/home/jetson/detect/mb2-ssd-lite.onnx ...