biased_input = torch.randn(4, 5) output_before = net.forward(biased_input) bias = net.get_bias().clone() self.assertEqual(list(bias.shape), [2]) net.set_bias(bias + 1) self.assertEqual(net.get_bias(), bias + 1) output_after = net.forward(biased_input) self.assertNotEqual(...
#include "torch/csrc/jit/passes/pass_manager.h" #include "torch/csrc/jit/passes/requires_grad_analysis.h" #include "torch/csrc/jit/passes/shape_analysis.h" #include "torch/csrc/jit/passes/utils/subgraph_utils.h" #include "torch/csrc/jit/ir/scope.h" #include "torch/csrc/jit/runtime/arg...
// jit/python/script_init.cpp// _create_function_from_trace是Python和C++的接口// 建图、创建compilation_unit、创建返回的函数m.def("_create_function_from_trace",[](conststd::string&qualname,constpy::function&func,constpy::tuple&input_tuple,constpy::function&var_lookup_fn,boolstrict,boolforce...
Hi, I used the pre-trained StyledGenerator model(e.g. stylegan-512px-new.model) provided in the rosinality/style-based-gan-pytorch repository and trying to export this model to ONNX. Issue description Traceback (most recent call last): F...
🐛 Describe the bug When exporting a model to onnx (embedded into a torch.jit.script call) that uses MultiheadAttention, I am running into errors related to unsupported operators. This is all part of a bigger project (I'm coming from High...