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(self, gradient, retain_graph, create_graph, inputs=inputs)įile "/home/yuanhao/PycharmProjects/rl/venv/lib/python3.10/site-packages/torch/autograd/_init_.py", line 173, in backward Variable._execution_n_backward( # Calls into the C++ engine to run the backward passįile "/home/yuanhao/PycharmProjects/rl/main.py", line 99, in įile "/home/yuanhao/PycharmProjects/rl/venv/lib/python3.10/site-packages/torch/_tensor.py", line 396, in backward torch/csrc/autograd/python_anomaly_mode.cpp:102.) Return F.linear(input, self.weight, self.bias) Traceback of forward call that caused the error:įile "/home/yuanhao/PycharmProjects/rl/main.py", line 94, in įile "/home/yuanhao/PycharmProjects/rl/main.py", line 83, in forwardįile "/home/yuanhao/PycharmProjects/rl/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_implįile "/home/yuanhao/PycharmProjects/rl/venv/lib/python3.10/site-packages/torch/nn/modules/container.py", line 139, in forwardįile "/home/yuanhao/PycharmProjects/rl/venv/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 114, in forward home/yuanhao/PycharmProjects/rl/venv/lib/python3.10/site-packages/torch/autograd/_init_.py:173: UserWarning: Error detected in MvBackward0. I would like to thank you in advance for your help, I hope it's not a stupid mistake I overlooked I also tried responseType: "blob", after reading through stack overflow but this would not change anything on the outcome. Link.href = (blob) įirst of all the two methods, base64ToArrayBuffer and saveByteArray, are from a guy called Jahongir Rahmonov, i copied the two methods from this question Var sampleArr = this.base64ToArrayBuffer(response.data) Content_Type: 'application/pdf charset=UTF-8',