File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/utils.py", line 504, in export _export( File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/utils.py", line 1529, in _export graph, params_dict, torch_out = _model_to_graph( File "/home/users/naconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/utils.py", line 1115, in _model_to_graph graph = _optimize_graph( File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/utils.py", line 663, in _optimize_graph graph = _C._jit_pass_onnx(graph, operator_export_type) File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/utils.py", line 1867, in _run_symbolic_function return symbolic_fn(graph_context, *inputs, **attrs) File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/symbolic_opset9.py", line 6664, in onnx_placeholder return torch._C._jit_onnx_convert_pattern_from_subblock(block, node, env) File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/utils.py", line 1867, in _run_symbolic_function return symbolic_fn(graph_context, *inputs, **attrs) File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/symbolic_opset11.py", line 230, in index_put if symbolic_helper._is_bool(indices_list[idx_]): File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/symbolic_helper.py", line 736, in _is_bool return _is_in_type_group(value, {_type_utils.JitScalarType.BOOL}) File "/home/users/anaconda3/envs/sparsedrive/lib/python3.8/site-packages/torch/onnx/symbolic_helper.py", line 708, in _is_in_type_group scalar_type = value.type().scalarType() RuntimeError: r INTERNAL ASSERT FAILED at "../aten/src/ATen/core/jit_type_base.h":547, please report a bug to PyTorch.
Ранее переводчик назвал журналистов «не сильно образованными существами». По его мнению, представители этой профессии озвучивают информацию, которую их обязали транслировать.
，这一点在旺商聊官方下载中也有详细论述
// 内层：以 "channel\taccountId" 为键，缓存过滤后的 Binding 列表
2. 警惕“伪敏捷”与“真内卷”Anthropic的快，源于“心理安全感”和“去部门墙”；而国内的快，往往源于“加班文化”和“领导驱动”。如果没有建立“犯错可见但可原谅”的机制，所谓的敏捷只是更快的内耗。