WebApr 10, 2024 · a = torch.softmax(a, dim=1) a = a.numpy() 在CPU上是正常运行的,然后用GPU的时候就出现了这个报错。 TypeError: can’t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first. numpy不能直接读取CUDA tensor,需要将它转化为 CPU tensor。 WebFeb 26, 2024 · The actual issue here is that PyTorch doesn't have a uint16 dtype, and that's why we don't support converting NumPy arrays of that type into torch tensors. As you mention, you'll have to convert to another dtype, like int32, first. You could file a new issue requesting that PyTorch add support for the uint16 dtype, if you like.
Converting an image to a Torch Tensor in Python
WebNov 3, 2024 · import numpy as np: from scipy.sparse import csr_matrix: import torch: __author__ = 'Andrea Esuli' Acsr = csr_matrix([[1, 2, 0], [0, 0, 3], [4, 0, 5]]) WebThe first step is to call the function torch.from_numpy () followed by changing the data type to integer or float depending on the requirement. Then, if needed, we can send the tensor to a separate device like the below code. Code: torch. from_numpy ( p). to ("cuda") PyTorch Tensor to NumPy Array pate sicilienne
Convert numpy to torch - code example - GrabThisCode.com
WebJun 12, 2024 · Check the numpy docs: im_array = np.array (image_data) # image_data is the memmap im_tensor = torch.from_numpy (im_array) Something like this should work. EDIT: Looks like you can just call: torch.from_numpy (image_data) 1 Like wxystudio (wxystudio) June 12, 2024, 3:33am 3 tymokvo: from_numpy thx very much, it works 1 Like WebMar 11, 2024 · 以下是一个示例代码: import numpy as np import torch import tensorflow as tf # 创建一个numpy数组 arr = np.array([1, 2, 3]) # 将numpy数组转换为PyTorch张量 torch_tensor = torch.from_numpy(arr) # 将numpy数组转换为TensorFlow张量 tf_tensor = tf.convert_to_tensor(arr) 希望这可以帮助你解决问题! WebFeb 15, 2024 · import torch import numpy as np np_array = np.array([5, 7, 1, 2, 4, 4]) # Convert Numpy array to torch.Tensor tensor_a = torch.from_numpy(np_array) tensor_b … pates à la ricotta