filtered_logits = top_k_top_p_filtering(next_token_logits, top_k=top_k, top_p=top_p) File "generate.py", line 74, in top_k_top_p_filtering

AMD Milan 7763/7T83 ，Intel icelake 8378A 使用perf ，timeout -k 9 5 perf top -e task-clock 10次必挂， 发生core dump 【环境信息】 硬件信息： AMD Milan

"/tmp/tmpxft_0000944f_00000000-17_hl_top_k.compute_61.cpp1.ii". CMake Error at paddle_cuda_generated_hl_top_k.cu.o.cmake:262 (message): Error

UpdateForwardTensorInfoInBpropGraph] The cell stack is empty when running a new top cell 140319604890704_(32, 3, 224, 224)Tensor[Float32]_(32, 12)Tensor[Float32]

本任务需要将《Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation》这篇论文基于MindSpore框架进行代码复现。 论文地址：https://arxiv.org/abs/2101

com/PaddlePaddle/Paddle/blob/develop/paddle/operators/top_k_op.h#L43) of `top-k` op's output is `int64_t`, so it is necessary for edit

filtered_logits = top_k_top_p_filtering(next_token_logits, top_k=top_k, top_p=top_p) File "generate.py", line 91, in top_k_top_p_filtering

选择显示列： 执行top命令后，按 f 键，再按某一列的代表字母，即可选中或取消显示； 列显示位置调整： 执行top命令后，按 o 键，选择要调整位置的列（如K:CUP Usageage），按动一下大写K则显示位置往上调整，按动一下小写K则显示位置往下调整。

sequence. In the first search step, top beam size sequences with highest scores, indices of these top k sequences in the original nested

the top level [ 76s] /usr/share/aclocal-1.16/init.m4:29: AM_INIT_AUTOMAKE is expanded from... [ 76s] configure.ac:7: the top level

nms_param { nms_threshold: 0.44999998807907104 top_k: 100 } code_type: 2 keep_top_k: 100 confidence_threshold: 0.25 } } ``` 报错日志