WebMay 19, 2024 · Inputs, labels and prediction are all FloatTensor. If you have changed the training code, pls make sure you are converted you mask to FloatTensor. Thank you, for all your help!!! I updated my code for passing mask to floattensor. Now, I am getting next error! Webmask_value = torch.finfo(attn_weights.dtype).min # Need to be a tensor, otherwise we get error: `RuntimeError: expected scalar type float but found double`. # Need to be on the same device, otherwise `RuntimeError: ..., x and y to be on the same device` mask_value = torch.tensor(mask_value, dtype=attn_weights.dtype).to(attn_weights.device)
LoRA_Finetuning/GPT2_LoRA.py at main · …
WebJun 10, 2024 · A data type object (an instance of numpy.dtype class) describes how the bytes in the fixed-size block of memory corresponding to an array item should be interpreted. It describes the following aspects of the data: Type of the data (integer, float, Python object, etc.) Size of the data (how many bytes is in e.g. the integer) WebArgs: image (Tensor): Tensor of shape (3, H, W) and dtype uint8. masks (Tensor): Tensor of shape (num_masks, H, W) or (H, W) and dtype bool. alpha (float): Float number between 0 and 1 denoting the transparency of the masks. 0 means full transparency, 1 means no transparency. colors (color or list of colors, optional): List containing the ... sbi sushant lok ifsc code
Data type objects (dtype) — NumPy v1.13 Manual - SciPy
Web1 Answer Sorted by: 79 LongTensor is synonymous with integer. PyTorch won't accept a FloatTensor as categorical target, so it's telling you to cast your tensor to LongTensor. This is how you should change your target dtype: Yt_train = Yt_train.type (torch.LongTensor) WebFeb 4, 2024 · RuntimeError: expected dtype Float but got dtype Long - run_lm_finetuning.py #2728 Closed paulthemagno opened this issue on Feb 4, 2024 · 11 comments paulthemagno commented on Feb 4, 2024 • edited ( ( ) [ [ while before the crash the code enters the mask_tokens () function corretly and prints lines like these: … WebA floating point scalar operand has dtype torch.get_default_dtype() and an integral non-boolean scalar operand has dtype torch.int64. Unlike numpy, we do not inspect values when determining the minimum dtypes of an operand. Quantized and complex types are not yet supported. Promotion Examples: sbi sunday working branches