🐛 Describe the bug We are tying to use TorchFunctionMode to convert the input tensors of SDPA to DTensor (if they are not). Unfortunately this approach fails. Digging into the detail, this seems to be a funda
A high-throughput and memory-efficient inference and serving engine for LLMs. Extended for Rubra function calling models - [Core][Optimization] change python dict to pytorch tensor (#4607) · rubra-ai/vllm@63575bc
The spectral attention submodule employs a two-layer MLP, structured as an encoder-decoder, which focuses on extracting the spectral information while strengthening the dependencies across spectral dimensions. The spatial attention (SA) submodule enhances the spatial features by using two convolutional ...
In addition, we use PyTorch [37] to build the GNN model of our CoChangeFinder. To split the dataset, we allocate 80% of the data as the training dataset for model training and validation to ensure that our model is trained on a majority of the data while reserving the remaining 20% ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Checkpoint doesn't work with torch_function if torch_function change tensor metadata · pytorch/pytorch@dc7556f
A high-throughput and memory-efficient inference and serving engine for LLMs - [Core][Optimization] change python dict to pytorch tensor for blocks …· lifuhuang/vllm@20cfcde
The pixel-shuffle algorithm is implemented as depth to space in TensorFlow and pixelshuffle in PyTorch. Fig. 5 demonstrates the process of rearranging elements in a tensor with shape N,C∗s2,H,W=1,4,3,3 to a tensor with shape N,C,H∗s,W∗s=(1,1,6,6), where s is an ...
The bi-features are shown as the shape of their tensor, “Ft : Ci × Hi × Wi” denotes tth (t∈{A,B}) time and subscript i denotes different feature or dimension. The gray font represents the process of dimensionality changes in the feature matrix. 3.3. Temporospatial interactive ...
🐛 Describe the bug When you create a MaskedTensor and change it to cuda, the data is the only one that change to cuda. When we use a reduction function on cuda MaskedTensor (sum, to_tensor, etc), it will always fail since the mask in on ...
In pytorch 0.3.0, the tensor just use: tensor.cuda() 👍 1 Collaborator ssnl commented Nov 16, 2018 In 0.3, tensor.cuda() also returns a new tensor rather than modifies tensor inplace.. Sign up for free to join this conversation on GitHub. Already have an account? Sign in to ...