NVIDIA Tensor Core / DLA 资料汇总

本文汇总了关于NVIDIA Tensor Core的使用,包括在cuBLAS中如何利用Tensor Cores的示例代码。同时介绍了深度学习加速器DLA的基本概念,提供了相关样例代码,并讨论了在TensorRT中如何配置和运行模型以利用DLA进行推理,包括设备类型的设置和管理。
2025-06-28 10:31:47.153173: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0 2025-06-28 10:31:47.571149: E tensorflow/stream_executor/cuda/cuda_blas.cc:428] failed to run cuBLAS routine: CUBLAS_STATUS_EXECUTION_FAILED Traceback (most recent call last): File "/root/miniconda3/envs/dla/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call return fn(*args) File "/root/miniconda3/envs/dla/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn target_list, run_metadata) File "/root/miniconda3/envs/dla/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(90, 13), b.shape=(13, 256), m=90, n=256, k=13 [[{{node pi/vf/me_rec/fc1/MatMul}}]] [[pi/cond/Merge/_29]] (1) Internal: Blas GEMM launch failed : a.shape=(90, 13), b.shape=(13, 256), m=90, n=256, k=13 [[{{node pi/vf/me_rec/fc1/MatMul}}]] 0 successful operations. 0 derived errors ignored. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "run_attack_ma_trpo.py", line 117, in <module> gamma) File "run_attack_ma_trpo.py", line 92, in main batch_size=batch_size, env_timesteps_phy=env_timesteps_phy, at_th=at_th, gamma=gamma) File "run_attack_ma_trpo.py", line 72, in train_trpo save_dir=log_dir, save_flag=save_flag, plot_flag=plot_flag) File "/root/dla-master/deep_rl_for_swarms/rl_algo/trpo_mpi/trpo_mpi_attack.py", line 316, in learn seg, info = seg_gen.__next__() File "/root/dla-master/deep_rl_for_swarms/rl_algo/trpo_mpi/trpo_mpi_attack.py", line 58, in traj_segment_generator ac, vpred = pi.act(stochastic, np.vstack(ob)) File "/root/dla-master/deep_rl_for_
06-29
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