🐛 Bug I compared the execution time of two codes. Code 1: import torch import numpy as np a = [np.random.randint(0, 10, size=(7, 7, 3)) for _ in range(100000)] b = torch.tensor(np.array(a)) And code 2: import torch import numpy as np a =...
TypeError: max_pool1d_with_indices(): argument 'kernel_size' (position 2) must be tuple of ints, not Tensor I have checked, and the problem is with "x4.size(2)". When running my model in Python, the result is a scalar, which is OK for max_pool1d. But when torch.onxx.export(...
LongTensor(encoded) return question_tensor elif isinstance(question, list): question_tensor = [convert_question_str_to_tensor(q) for q in question] question_tensor = torch.cat(question_tensor, 0) return question_tensor Example 6Source File: base_dataset.py From Learning-Monocular-Depth-by-...
from convert_hf_to_gguf import LazyTorchTensor, Model logger = logging.getLogger("lora-to-gguf") @dataclass class PartialLoraTensor: A: Tensor | None = None B: Tensor | None = None # magic to support tensor shape modifications and splitting class LoraTorchTensor: _lora_A: ...
“Could not convert to CV Tensor” 这个报错的原因是数据集中某个样本解码失败/数据集格式不正确导致的。如下举例是ImageNet数据集的格式举例,你与你本地比较下: $ tree train/ train/ ├── class1 │ ├── 1_1.jpg │ └── 1_2.jpg ├── class2 │ ├── 2_1.jpg │ └── 2_2...
TypeError:can't convertCUDAtensor to numpy.Use Tensor.cpu()to copy the tensor to host memory first. 意思是:如果想把CUDA tensor格式的数据改成numpy时,需要先将其转换成cpu float-tensor随后再转到numpy格式。 numpy不能读取CUDA tensor 需要将它转化为 CPU tensor 将predict.data.numpy()改为predict.data...
TensorFlow saved_model: export failure: can’t convert cuda:0 device type tensor to numpy. 对于此类问题,作者在issue中的统一回答是:新版本已解决了该问题,请使用新版本。 然而,直接使用新版本毕竟不方便,因为在工程中很可能已经做了很多别的修改,使用新版本会直接覆盖这些修改。因此,解决思路是用新版本的修...
This could happen if your model uses indexing on tensors or other types not recognized as list or tuple by the Core ML tools. You may need to revise the TorchScript code to ensure it only performs item selection on supported types or adjust the way tensors are indexed. Up vote post of...
D:\Anaconda3\envs\aoc\lib\site-packages\mmdeploy\core\optimizers\function_marker.py:158: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the ...
最近在看QA,对dataset不是很了解,所以看了一下pytorch中的squad_convert_example_to_features。 1.squad_convert_example_to_features 以下为pytorch源代码: 其中example数据大致呈现(不完整): defsquad_convert_example_to_features( example, max_seq_length, doc_stride, max_query_length, padding_strategy, is...