Host_softmax not implemented for int
WebPytorch RuntimeError: “host_softmax” not implemented for ‘torch.cuda.LongTensor’ 报错的位置在这个地方 loss=criterion(out,train_y) # train_y 应该是int64 WebApr 18, 2024 · RuntimeError: expected scalar type Long but found Int Most likely this is a very basic issue but I have no clue how to fix it. Can anybody help me with this, please?
Host_softmax not implemented for int
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WebNov 15, 2024 · int input_len and assert (input_len != 0);--> assert(input_len > 0);. Further: Unclear why code dis-allows input_len == 0. See below and suggest assert(input_len >= 0); … WebNov 26, 2024 · The test environment is a GeForce RTX™ 3090 GPU, the data type is half, and the Shape of Softmax = (49152, num_cols), where 49152 = 32 * 12 * 128, is the first three dimensions of the attention Tensor in the BERT-base network.We fixed the first three dimensions and varied num_cols dynamically, testing the effective memory bandwidth of …
WebApplies the Softmax function to an n-dimensional input Tensor rescaling them so that the elements of the n-dimensional output Tensor lie in the range [0,1] and sum to 1. Softmax is defined as: \text {Softmax} (x_ {i}) = \frac {\exp (x_i)} {\sum_j \exp (x_j)} Softmax(xi) = ∑j exp(xj)exp(xi) When the input Tensor is a sparse tensor then the ... WebThe Vitis-AI compiler will always report the softmax as being implemented in the CPU. This is because the hw softmax is actually not implemented in the DPU, but in a separate hw post processing kernel. Since the arch.json file is only for DPU Vitis-AI compiler config it will be the same whether or not you use the hw softmax.
Web昇腾TensorFlow（20.1）-dropout:Description. Description The function works the same as tf.nn.dropout. Scales the input tensor by 1/keep_prob, and the reservation probability of the input tensor is keep_prob. Otherwise, 0 is output, and the shape of the output tensor is the same as that of the input tensor. WebNov 19, 2024 · Hi all, I have problem with NLLLoss, I am getting error message: RuntimeError: “nll_loss_out_frame” not implemented for ‘Long’ This is my code: for input_tensor, target_tensor in train_dataloader: encoder_decoder.zero_grad () log_probs = encoder_decoder ( (input_tensor,target_tensor)) predicted = log_probs.argmax (dim=1)
WebJun 22, 2024 · Host and manage packages Security. Find and fix vulnerabilities Codespaces. Instant dev environments Copilot. Write better code with AI Code review. Manage code changes Issues. Plan and track work ... RuntimeError: "log_softmax_lastdim_kernel_impl" not implemented for 'Long' To Reproduce.
WebMar 10, 2024 · 1 Answer. Short answer: Your derivative method isn't implementing the derivative of the softmax function, it's implementing the diagonal of the Jacobian matrix of the softmax function. Long answer: The softmax function is defined as softmax: Rn → Rn softmax(x)i = exp(xi) ∑nj = 1exp(xj), where x = (x1, …, xn) and softmax(x)i is the i th ... the incredible hulk 1978 tv series introWebBased on the stream_id and task_id fields, you can locate the model containing the overflow operator from the Runtime INFO-level log. In addition, you can locate the block where overflow occurs based on block_idx and obtain the cause from status. 昇腾TensorFlow（20.1） Parent topic: Special Topics. the incredible hulk 1979 comicWebSep 17, 2024 · RuntimeError: log_softmax_forward is not implemented for type torch.LongTensor When using nn.CrossEntropyLoss () ( But works in MSELoss) Before i was getting RuntimeError: Expected object of type torch.LongTensor but found type torch.FloatTensor for argument #2 'target’ the incredible hulk 1978 pilot