Trying to trace a model via torch_neuronx but getting issue: RuntimeError: The following operation failed in the TorchScript interpreter #835 New issue Closed ramsum56 opened this issue Feb 21, 2024· 3 comment
🐛 Describe the bug I used https://github.com/MichaelMonashev/bench_models/blob/main/bench_models.py to benchmark new torch version on vision neural networks. Here is results: Torch 2.0.1: CPU: 12th Gen Intel(R) Core(TM) i9-12900K cores: ...
transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /root/miniconda3/envs/sz...
We expect that some modules will need time to support NumPy 2. Traceback (most recent call last): File "/data_home/cly/ModelZoo-PyTorch/PyTorch/built-in/foundation/ChatGLM-6B/ptuning/preprocess.py", line 45, in <module> import torch File "/usr/local/lib64/python3.9/site-packages/...
/home/miniconda3/envs/CosyVoice2/lib/python3.10/site-packages/torch_npu/contrib/transfer_to_npu.py:246: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use...
Note This checkpointing method is recommended if you use PyTorch and the SageMaker model parallelism library v1.10.0 or later.Partial checkpointingTo save checkpoints of a model trained with model parallelism, use the smdistributed.modelparallel.torch.save_checkpoint API with the partial ch...
trace = torch.jit.trace(learn.model, input_tensor) # Define the Core ML input type (considering your model's input shape) _input= ct.ImageType( name="input_1", shape=input_tensor.shape, bias=[-0.485/0.229, -0.456/0.224, -0.406/0.225], ...
Prepare a training job to collect TensorBoard output data Accessing the TensorBoard application on SageMaker AI Open TensorBoard using the sagemaker.interactive_apps.tensorboard module Open TensorBoard using the get_app_url function as an estimator class method Open TensorBoard through the SageMaker AI con...
model = torch.load("2nd_model.pt").to(device)model.eval() traced_script_module = torch.jit.script(model) Error: --- FrontendError Traceback (most recent call last) <ipython-input-17-59a3d0112d6d> in <module>() 1 model = torch.load("2nd_model.pt").to(device) 2 model.eval() -...
🐛 Describe the bug Trying to run to do an onnx export of a torch script model, got RuntimeError: input_values.size() == param_count_list.size() INTERNAL ASSERT FAILED /home/go22670/.conda/envs/torch/lib/python3.10/site-packages/torch/onn...