// Move the data structures to the GPU. // NOTE: This synchronizes the CPU and GPU. torch::Tensor key_cache_ptrs_tensor = torch::from_blob( key_cache_ptrs, {num_layers}, torch::kInt64).to(cache_device); torch::Tensor value_cache_ptrs_tensor = torch::from_blob( value_cache_ptrs...
frame.check_recomputed_tensors_match(gid) File "/data/users/chienchin/mywork/pytorch/torch/utils/checkpoint.py", line 903, in check_recomputed_tensors_match raise CheckpointError( torch.utils.checkpoint.CheckpointError: torch.utils.checkpoint: Recomputed values for the following tensors have ...
However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI ...
In order to validate the effectiveness of the above training methodology, we performed experiments on a prototype multi-level PCM chip comprising 1 million PCM devices fabricated in 90 nm CMOS baseline technology37. PCM is a memristive technology, which records data in a nanometric volume of pha...
the feature map is compressed into two tensors of sizeC×1×1. Then, the two vectors are input into the MLP (Multi-Layer Perceptron) respectively, and the output of the MLP is merged by element-by-element summation. Finally, the channel attention weight graphWd(d=1,…,D)(whereDrepresen...
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@eb08ada
guopengf commented Sep 23, 2024 • edited by pytorch-bot bot 🐛 Describe the bug The following code defines a 3d convolution layer and we run inference under AMP. For the input tensor with the shape of [1, 128, 248, 248, 248], the peak memory usage from the nvidia-smi command...
CUDA used to build PyTorch: 12.5 ROCM used to build PyTorch: N/A OS: Ubuntu 22.04.4 LTS (aarch64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: Could not collect CMake version: version 3.29.3 Libc version: glibc-2.35 ...
🐛 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 ...
SERVER_ARGS="--model-repository=$DATADIR --exit-timeout-secs=120" SERVER_LOG_BASE="./inference_server" source ../common/util.sh Expand All @@ -58,7 +58,7 @@ for TARGET in cpu gpu; do fi # set strict readiness=false on CPU-only device to allow # unsuccessful load of TensorRT ...