id stringlengths 7 11 | source stringclasses 1
value | category stringclasses 11
values | title stringlengths 15 214 | text stringlengths 70 30.5k | url stringlengths 57 160 | tags stringlengths 3 113 | created_at int64 1.22B 1.79B |
|---|---|---|---|---|---|---|---|
se_79725054 | stackoverflow | MACHINE_LEARNING | RuntimeError in torch.cat during VACE-Wan2.1 inference: mask and video tensor shape mismatch | RuntimeError in torch.cat during VACE-Wan2.1 inference: mask and video tensor shape mismatch
I'm using the Wan2.1-VACE video generation model, and during inference I encountered a RuntimeError related to mismatched tensor shapes in a torch.cat operation inside the vace_latent() function.
From the debug output:
src_vid... | https://stackoverflow.com/questions/79725054/runtimeerror-in-torch-cat-during-vace-wan2-1-inference-mask-and-video-tensor-sh | python, machine-learning, deep-learning, pytorch, computer-vision | 1,754,318,209 |
se_79727929 | stackoverflow | MACHINE_LEARNING | How to compare the numerical precision of two different tensors | How to compare the numerical precision of two different tensors
I'm trying to compare the output of two tensors with different numerical precisions: one in float64 (fp64) and the other in float32 (fp32). Both tensors are computed from the same inputs and represent the same operation or result, just at different precis... | https://stackoverflow.com/questions/79727929/how-to-compare-the-numerical-precision-of-two-different-tensors | python, pytorch, precision, numeric | 1,754,520,498 |
se_79705928 | stackoverflow | MACHINE_LEARNING | Using DataLoader for efficient model prediction | Using DataLoader for efficient model prediction
I'm trying to understand the role/utility of batch_size in torch beyond model training. I already have a trained model, where the batch_size was optimized as a hyperparameter. I want to use the model to make predictions in new data. I'm following the same format of the i... | https://stackoverflow.com/questions/79705928/using-dataloader-for-efficient-model-prediction | python, pytorch, pytorch-dataloader | 1,752,829,153 |
se_79665616 | stackoverflow | MACHINE_LEARNING | CUDA error: no kernel image is available for execution on the device | CUDA error: no kernel image is available for execution on the device
Im using the latest LibTorch with CUDA 12.6 installed on Windows 10
Libtorch is showing CUDA is available, however, I get this error when I try to use
device = torch::Device(torch::kCUDA, 0);
network.to(device)
Am I missing some installation? Is... | https://stackoverflow.com/questions/79665616/cuda-error-no-kernel-image-is-available-for-execution-on-the-device | pytorch, cuda, libtorch | 1,749,881,182 |
se_79727368 | stackoverflow | MACHINE_LEARNING | Why does my flwr federated learning setup freeze at round 1 while on deployment engine? | Why does my flwr federated learning setup freeze at round 1 while on deployment engine?
I'm new to the federated learning systems and I'm trying to train a model using 2 supernodes (clients). I managed to start the superlink (server) succesfully and successfully connect the nodes to the server and when I run the proje... | https://stackoverflow.com/questions/79727368/why-does-my-flwr-federated-learning-setup-freeze-at-round-1-while-on-deployment | python, pytorch, artificial-intelligence, flower, federated-learning | 1,754,487,635 |
se_78725972 | stackoverflow | MACHINE_LEARNING | What parameter do I need to change for it to match requirements? | What parameter do I need to change for it to match requirements?
I am trying to train a model based on a modified MNIST dataset so it classifies random images with label 10. I am constantly getting a TypeError.
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize((0.1307,), (0.3081,))
]... | https://stackoverflow.com/questions/78725972/what-parameter-do-i-need-to-change-for-it-to-match-requirements | machine-learning, pytorch, mnist, pytorch-dataloader | 1,720,532,622 |
se_79724468 | stackoverflow | MACHINE_LEARNING | Pytorch compute graph don't release as expected | Pytorch compute graph don't release as expected
import torch
def analyze_your_actual_code(): """分析你的实际代码"""
a = torch.randn(4, requires_grad=True)
print(f"a: {a}")
print(f"a.grad: {a.grad}")
loss = a.sum()
loss.backward()
print(f" a.grad: {a.grad}")
loss.backward()
... | https://stackoverflow.com/questions/79724468/pytorch-compute-graph-dont-release-as-expected | python, pytorch, gradient | 1,754,280,230 |
se_79721249 | stackoverflow | MACHINE_LEARNING | Learnable parameter only updating non-zero values and identically during training | Learnable parameter only updating non-zero values and identically during training
I have the following code in Python3.11 using PyTorch:
arr = np.array([[0, 0, 0],
[0, -1, 0],
[0, 1, 0]])
arr_tensor = torch.tensor(arr, dtype=torch.float32, device=device).unsqueeze(0).repeat(5, 1, 1, 1,... | https://stackoverflow.com/questions/79721249/learnable-parameter-only-updating-non-zero-values-and-identically-during-trainin | python, pytorch, tensor | 1,753,962,830 |
se_79559122 | stackoverflow | MACHINE_LEARNING | OSError: Qwen/Qwen2.5-VL-7B-Instruct does not appear to have files named model-00002-of-00005.safetensors despite having the file locally | OSError: Qwen/Qwen2.5-VL-7B-Instruct does not appear to have files named model-00002-of-00005.safetensors despite having the file locally
I'm trying to use the Qwen2.5-VL-7B model for my project, and I've downloaded a local file named model-00002-of-00005.safetensors. However, when I run my code, I encounter the follo... | https://stackoverflow.com/questions/79559122/oserror-qwen-qwen2-5-vl-7b-instruct-does-not-appear-to-have-files-named-model-0 | python, deep-learning, pytorch, fine-tuning, oserror | 1,744,003,354 |
se_79316602 | stackoverflow | MACHINE_LEARNING | error mat1 and mat2 shapes cannot be multiplied (4x256 and 768x1280) while fine tuning stable video diffusion | error mat1 and mat2 shapes cannot be multiplied (4x256 and 768x1280) while fine tuning stable video diffusion
I want to fine tune a stable diffusion model with my dataset. Getting error on line output = lora_unet
model used: stable-video-diffusion-img2vid-xt-1-1
Tried some code fixes given by chatgpt but no use. This... | https://stackoverflow.com/questions/79316602/error-mat1-and-mat2-shapes-cannot-be-multiplied-4x256-and-768x1280-while-fine | pytorch, artificial-intelligence, stable-diffusion | 1,735,521,266 |
se_79709893 | stackoverflow | MACHINE_LEARNING | DQN fails to learn good policy for Atari Pong | DQN fails to learn good policy for Atari Pong
I'm trying to implement the findings from this DeepMind DQN paper (2015) from scratch in PyTorch using the Atari Pong environment.
I've tested my Deep Q-Network on a simple test environment, where episodes last only 5 time steps and the maximum achievable reward is 4.1. My... | https://stackoverflow.com/questions/79709893/dqn-fails-to-learn-good-policy-for-atari-pong | python, deep-learning, pytorch, reinforcement-learning | 1,753,159,942 |
se_78152635 | stackoverflow | MACHINE_LEARNING | How to activate the adaptive solver in torchdiffeq? | How to activate the adaptive solver in torchdiffeq?
In the documentation of the well-known library torchdiffeq, the author have made an user guide with how to use the adaptive solver. However, when doing the instruction (even with using "options"), the step size in my experiment does not change during the time. I wond... | https://stackoverflow.com/questions/78152635/how-to-activate-the-adaptive-solver-in-torchdiffeq | pytorch, open-source, differential-equations | 1,710,322,556 |
se_79704439 | stackoverflow | MACHINE_LEARNING | How to solve InvalidArchiveError while installing pytorch with Anaconda? | How to solve InvalidArchiveError while installing pytorch with Anaconda?
I have installed the latest Anaconda and updated everything. When I try to install BERTopic or PyTorch itself, I am getting this error:
InvalidArchiveError("Error with archive C:\Users\myuser\AppData\Local\anaconda3\pkgs\pytorch-2.6.0-cpu_mkl_py... | https://stackoverflow.com/questions/79704439/how-to-solve-invalidarchiveerror-while-installing-pytorch-with-anaconda | python, pytorch, anaconda, bert-language-model | 1,752,737,574 |
se_69968477 | stackoverflow | MACHINE_LEARNING | RuntimeError: CUDA error: no kernel image is available for execution on the device after model.cuda() | RuntimeError: CUDA error: no kernel image is available for execution on the device after model.cuda()
I am working on this model:
class Model(torch.nn.Module):
def __init__(self, sizes, config):
super(Model, self).__init__()
self.lstm = []
for i in range(len(sizes) - 2):
self.l... | https://stackoverflow.com/questions/69968477/runtimeerror-cuda-error-no-kernel-image-is-available-for-execution-on-the-devi | python, pytorch | 1,636,938,127 |
se_79709724 | stackoverflow | MACHINE_LEARNING | RuntimeError: CUDA error: named symbol not found when using TorchAoConfig with Qwen2.5-VL-7B-Instruct model | RuntimeError: CUDA error: named symbol not found when using TorchAoConfig with Qwen2.5-VL-7B-Instruct model
I'm trying to load the Qwen2.5-VL-7B-Instruct model from hugging face with 4-bit weight-only quantization using TorchAoConfig (similar to how its mentioned in the documentation here), but I'm getting a runtime e... | https://stackoverflow.com/questions/79709724/runtimeerror-cuda-error-named-symbol-not-found-when-using-torchaoconfig-with-q | python, pytorch, huggingface-transformers, huggingface, quantization | 1,753,141,279 |
se_78806145 | stackoverflow | MACHINE_LEARNING | Is there a way to generate the computation graph of a PyTorch model from just a forward pass? | Is there a way to generate the computation graph of a PyTorch model from just a forward pass?
Imagine a network like this:
import torch
import torch.nn as nn
class CoolCNN(nn.Module):
def __init__(self):
super(CoolCNN, self).__init__()
self.initial_conv = nn.Conv2d(in_channels=3, out_channels=16, ... | https://stackoverflow.com/questions/78806145/is-there-a-way-to-generate-the-computation-graph-of-a-pytorch-model-from-just-a | python, graph, pytorch | 1,722,242,716 |
se_79713748 | stackoverflow | MACHINE_LEARNING | Move elements up in a one dimensional torch tensor | Move elements up in a one dimensional torch tensor
If I have a torch tensor of the form:
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0]
.roll simply moves the elements down
[6.0, 1.0, 2.0, 3.0, 4.0, 5.0]
I want it to roll the other way resulting in
[2.0, 3.0, 4.0, 5.0, 6.0, 1.0]
(in fact, the last element will be zero'd in this p... | https://stackoverflow.com/questions/79713748/move-elements-up-in-a-one-dimensional-torch-tensor | python, pytorch | 1,753,377,646 |
se_73156669 | stackoverflow | MACHINE_LEARNING | How can I get the inference compute graph of the PyTorch model? | How can I get the inference compute graph of the PyTorch model?
I want to handwrite a framework to perform inference of a given neural network. The network is so complicated, so to make sure my implementation is correct, I need to know how exactly the inference process is done on the device.
I tried to use torchviz to... | https://stackoverflow.com/questions/73156669/how-can-i-get-the-inference-compute-graph-of-the-pytorch-model | pytorch, onnx | 1,659,027,933 |
se_79711939 | stackoverflow | MACHINE_LEARNING | Difference between tokens generated on a configuration in two different contexts | Difference between tokens generated on a configuration in two different contexts
I have a model that given a configuration, or state (of a Rubik's cube, but whatever, it is a sequence of integers) generates a movement (from 0 to 5). This movement can be used to bring the configuration to another state and the model ha... | https://stackoverflow.com/questions/79711939/difference-between-tokens-generated-on-a-configuration-in-two-different-contexts | python, pytorch, tensor, reinforcement-learning | 1,753,276,095 |
se_61848635 | stackoverflow | MACHINE_LEARNING | How to decide which mode to use for 'kaiming_normal' initialization | How to decide which mode to use for 'kaiming_normal' initialization
I have read several codes that do layer initialization using nn.init.kaiming_normal_() of PyTorch. Some codes use the fan in mode which is the default. Of the many examples, one can be found here and shown below.
init.kaiming_normal(m.weight.... | https://stackoverflow.com/questions/61848635/how-to-decide-which-mode-to-use-for-kaiming-normal-initialization | initialization, pytorch | 1,589,702,167 |
se_71608439 | stackoverflow | MACHINE_LEARNING | Can PyTorch / XLA be used for the Coral dev board TPUs? | Can PyTorch / XLA be used for the Coral dev board TPUs?
The last discussion of this I found was before [this article]https://cloud.google.com/blog/products/ai-machine-learning/pytorch-is-now-ga-on-google-cloud-tpus came out.
Has anyone had any experience or know if it is possible to use a pytorch model directly on th... | https://stackoverflow.com/questions/71608439/can-pytorch-xla-be-used-for-the-coral-dev-board-tpus | pytorch, google-coral | 1,648,150,453 |
se_68243122 | stackoverflow | MACHINE_LEARNING | RuntimeError: Given groups=1, weight of size [64, 32, 3, 3], expected input[128, 64, 32, 32] to have 32 channels, but got 64 channels instead | RuntimeError: Given groups=1, weight of size [64, 32, 3, 3], expected input[128, 64, 32, 32] to have 32 channels, but got 64 channels instead
I am trying to experiment with why we have a Vanishing & exploding gradient, and why Resnet is so helpful in avoiding the two problems above. So I decided to train a plain Convo... | https://stackoverflow.com/questions/68243122/runtimeerror-given-groups-1-weight-of-size-64-32-3-3-expected-input128 | python, neural-network, pytorch | 1,625,389,328 |
se_68319216 | stackoverflow | MACHINE_LEARNING | AttributeError: 'numpy.ndarray' object has no attribute 'unsqueeze' | AttributeError: 'numpy.ndarray' object has no attribute 'unsqueeze'
I'm running a training code using pyhtorch and numpy.
This is the plot_example function:
def plot_example(low_res_folder, gen):
files=os.listdir(low_res_folder)
gen.eval()
for file in files:
image=Image.open("t... | https://stackoverflow.com/questions/68319216/attributeerror-numpy-ndarray-object-has-no-attribute-unsqueeze | python-3.x, pytorch, numpy-ndarray | 1,625,844,302 |
se_76595301 | stackoverflow | MACHINE_LEARNING | import error with pyg-lib and torch-sparse | import error with pyg-lib and torch-sparse
I have been facing an issue with importing torch_geometric, every-time I run, from torch_geometric.nn import MessagePassing I get a stack trace as follows -
/Users/karan_bania/anaconda3/envs/PyGtut/lib/python3.10/site-packages/torch_geometric/typing.py:18: UserWarning: An i... | https://stackoverflow.com/questions/76595301/import-error-with-pyg-lib-and-torch-sparse | import, pytorch, cpu, pytorch-geometric | 1,688,224,401 |
se_67518928 | stackoverflow | MACHINE_LEARNING | How to make VScode launch.json for a Python module | How to make VScode launch.json for a Python module
I'm researching self-supervised machine learning code.
And I have wanted to debug the code with python debugger not pdb.set_trace().
This is python command for ubuntu terminal.
python -m torch.distributed.launch --nproc_per_node=1 main_swav.py \
--data_path /dataset/i... | https://stackoverflow.com/questions/67518928/how-to-make-vscode-launch-json-for-a-python-module | python, visual-studio-code, pytorch, vscode-debugger | 1,620,907,483 |
se_78994162 | stackoverflow | MACHINE_LEARNING | How can I just calculate a part of grad using make_functional in PyTorch? | How can I just calculate a part of grad using make_functional in PyTorch?
func_model, func_params = make_functional(self.model)
def fm(x, func_params):
fx = func_model(func_params, x)
return fx.squeeze(0).squeeze(0)
def floss(func_params,input):
fx = fm(input... | https://stackoverflow.com/questions/78994162/how-can-i-just-calculate-a-part-of-grad-using-make-functional-in-pytorch | python, network-programming, deep-learning, pytorch, gradient-descent | 1,726,577,824 |
se_79663445 | stackoverflow | MACHINE_LEARNING | RuntimeError: expected scalar type Float but found BFloat16 with nn.TransformerEncoder | RuntimeError: expected scalar type Float but found BFloat16 with nn.TransformerEncoder
I’m running my model in bf16-mixed precision and encountering the following error:
RuntimeError: expected scalar type Float but found BFloat16
This happens when I apply an nn.TransformerEncoder model to my data.
My input consists of... | https://stackoverflow.com/questions/79663445/runtimeerror-expected-scalar-type-float-but-found-bfloat16-with-nn-transformere | pytorch | 1,749,727,705 |
se_79683781 | stackoverflow | MACHINE_LEARNING | Getting StopIteration or No Output while using HuggingFace InferenceClient with TinyLlama / Falcon models | Getting StopIteration or No Output while using HuggingFace InferenceClient with TinyLlama / Falcon models
I'm trying to run text generation using the Hugging Face InferenceClient in Python, but I keep getting either a StopIteration error or no output at all. Here's my setup:
from huggingface_hub import InferenceClient... | https://stackoverflow.com/questions/79683781/getting-stopiteration-or-no-output-while-using-huggingface-inferenceclient-with | python, pytorch, huggingface-transformers, langchain, large-language-model | 1,751,204,523 |
se_76844362 | stackoverflow | MACHINE_LEARNING | 50% training and test accuracy in deep nn model for binarily classifying 2d points | 50% training and test accuracy in deep nn model for binarily classifying 2d points
I have a deep neural network with 2 hidden layers. I'm trying to use the neural network to classify 2d datapoints to either 0 or 1. That data that I've generated looks like this:
What I'm trying to do also looks like this tensorflow cl... | https://stackoverflow.com/questions/76844362/50-training-and-test-accuracy-in-deep-nn-model-for-binarily-classifying-2d-poin | python, pytorch, neural-network | 1,691,294,374 |
se_78007663 | stackoverflow | MACHINE_LEARNING | Pytorch reserving way more data than needed | Pytorch reserving way more data than needed
I'm trying to finetune a sentencetransformer.
The issue is that I'm running into an OOM-error (I'm using google-cloud to train the model).
I keep getting that pytorch reserves ~13GB (theres ~14GB) available thus there's no room for any batch.
If I try to calculate the actual... | https://stackoverflow.com/questions/78007663/pytorch-reserving-way-more-data-than-needed | python, memory, pytorch, sentence-transformers | 1,708,089,874 |
se_73327697 | stackoverflow | MACHINE_LEARNING | Configuring a progress bar while training for Deep Learning | Configuring a progress bar while training for Deep Learning
I have this tiny training function upcycled from a tutorial.
def train(epoch, tokenizer, model, device, loader, optimizer):
model.train()
with tqdm.tqdm(loader, unit="batch") as tepoch:
for _,data in enumerate(loader, 0):
y = data['target_ids'].to(dev... | https://stackoverflow.com/questions/73327697/configuring-a-progress-bar-while-training-for-deep-learning | python, pytorch, tqdm | 1,660,259,140 |
se_79397100 | stackoverflow | MACHINE_LEARNING | RuntimeError: Batching rule not implemented for aten::gru.input | RuntimeError: Batching rule not implemented for aten::gru.input
I'm using torchrl for training my reinforcement learning agent.
I'm trying to call a GRU layer with batched data (to be precise, calling a GAE as an advantage module with the batched data from the replay buffer), and it shows this error:
RuntimeError: Ba... | https://stackoverflow.com/questions/79397100/runtimeerror-batching-rule-not-implemented-for-atengru-input | python, pytorch | 1,738,161,634 |
se_79684873 | stackoverflow | MACHINE_LEARNING | Model with ResNet blocks stuck at low accuracy | Model with ResNet blocks stuck at low accuracy
I am trying to implement classification of ECG segments from PTB-XL database (https://physionet.org/content/ptb-xl/1.0.3/). The architecture of the model which I am using is:
import torch
import torch.nn as nn
class ResNetBlock(nn.Module):
def __init__(self, in_chann... | https://stackoverflow.com/questions/79684873/model-with-resnet-blocks-stuck-at-low-accuracy | python, pytorch, neural-network, conv-neural-network, resnet | 1,751,291,422 |
se_79692554 | stackoverflow | MACHINE_LEARNING | What's the use case for `torch.randn_like` when`requires_grad=True`? | What's the use case for `torch.randn_like` when`requires_grad=True`?
In PyTorch, requires_grad can be set to True in torch.randn_like, what's the use case for this?
Say we have $\epsilon ~ N(0, I)$, to my understanding, since $\epsilon$ is not a parameter, there is no need to pipe gradient through it.
Thanks in ad... | https://stackoverflow.com/questions/79692554/whats-the-use-case-for-torch-randn-like-whenrequires-grad-true | python, pytorch | 1,751,878,335 |
se_79695755 | stackoverflow | MACHINE_LEARNING | How to get the KL divergence between two datasets (say ImageNet1k and FGVC-Aircraft) | How to get the KL divergence between two datasets (say ImageNet1k and FGVC-Aircraft)
I want to find out the KL divergence between 2 datasets, so for that I am extracting the features from ResNet50 for both of them, but if I calculate the same for ImageNet1k (say 20% of val set) and FGVC-Aircraft test set, I get a very... | https://stackoverflow.com/questions/79695755/how-to-get-the-kl-divergence-between-two-datasets-say-imagenet1k-and-fgvc-aircr | python, deep-learning, pytorch | 1,752,069,680 |
se_79697025 | stackoverflow | MACHINE_LEARNING | Why is "with torch.cuda.stream()" not asynchronous? | Why is "with torch.cuda.stream()" not asynchronous?
Cause
I'm trying to achieve the overlap between the forward and backward passes of two model chunks in dualpipe. I plan to simply implement it using torch.cuda.stream first, as follows:
def overlapped_forward_backward(
module0: torch.nn.Module,
inpu... | https://stackoverflow.com/questions/79697025/why-is-with-torch-cuda-stream-not-asynchronous | python, pytorch | 1,752,148,802 |
se_79700340 | stackoverflow | MACHINE_LEARNING | RendezvousTimeoutError when using torchrun | RendezvousTimeoutError when using torchrun
I am attempting to do training with multiple GPUs on pytorch, but am experiencing a RendezvousTimeoutError when doing so. I have looked at the relevant documentation and forums, but have not solved the issue.
Here are relevant details of what I am attempting:
I am trying to u... | https://stackoverflow.com/questions/79700340/rendezvoustimeouterror-when-using-torchrun | machine-learning, pytorch | 1,752,452,893 |
se_79656626 | stackoverflow | MACHINE_LEARNING | How to install pytorch and opencv using a fixed conda channel order? | How to install pytorch and opencv using a fixed conda channel order?
Conda creates a pristine environment, configures a fixed channel order, and then starts installing pytorch torchvisioni pytorch-cuda and opencv, and it prompts for dependency conflicts. Do I have to install opencv via pip?
The same thing happens with... | https://stackoverflow.com/questions/79656626/how-to-install-pytorch-and-opencv-using-a-fixed-conda-channel-order | python, opencv, ffmpeg, pytorch, conda | 1,749,261,379 |
se_53580088 | stackoverflow | MACHINE_LEARNING | Calculate the output size in convolution layer | Calculate the output size in convolution layer
How do I calculate the output size in a convolution layer?
For example, I have a 2D convolution layer that takes a 3x128x128 input and has 40 filters of size 5x5. | https://stackoverflow.com/questions/53580088/calculate-the-output-size-in-convolution-layer | machine-learning, deep-learning, pytorch, conv-neural-network | 1,543,752,568 |
se_79678471 | stackoverflow | MACHINE_LEARNING | When using TensorDictPrioritizedReplayBuffer, should i store "td_error" field in TensorDict data? | When using TensorDictPrioritizedReplayBuffer, should i store "td_error" field in TensorDict data?
Let's say you are gonna train DDPG or any algorithm that use Prioritized Replay Buffer. When using torchrl TensorDictPrioritizedReplayBuffer, after you calculate td_error, you gonna use it to call TensorDictPrio... | https://stackoverflow.com/questions/79678471/when-using-tensordictprioritizedreplaybuffer-should-i-store-td-error-field-in | pytorch, reinforcement-learning | 1,750,826,401 |
se_69539538 | stackoverflow | MACHINE_LEARNING | ERROR: vars() argument must have __dict__ attribute when trying to use trainer.train() on custom HF dataset? | ERROR: vars() argument must have __dict__ attribute when trying to use trainer.train() on custom HF dataset?
I have the following model that I am trying to fine-tune (CLIP_ViT + classification head). Here’s my model definition:
class CLIPNN(nn.Module):
def __init__(self, num_labels, pretrained_name="openai/clip-v... | https://stackoverflow.com/questions/69539538/error-vars-argument-must-have-dict-attribute-when-trying-to-use-trainer-t | dictionary, machine-learning, pytorch, dataset, huggingface-transformers | 1,634,037,123 |
se_79701808 | stackoverflow | MACHINE_LEARNING | Piecewise curve segment lengths from Pytorch | Piecewise curve segment lengths from Pytorch
Most examples of pdist (or cdist) seems to be between two tensors. If I have a piecewise curve defined as follows:
line=torch.tensor([(-104.6400,0.0000),(-104.6400,0.1500),(-103.5500,0.5140),(-98.1000,1.0775),(-92.6500,1.4553)])
What I have coded to get the segment lengths... | https://stackoverflow.com/questions/79701808/piecewise-curve-segment-lengths-from-pytorch | python, pytorch | 1,752,570,699 |
se_55920015 | stackoverflow | MACHINE_LEARNING | How to realize a polynomial regression in Pytorch | How to realize a polynomial regression in Pytorch
I want my neural network to solve a polynomial regression problem like y=(x*x) + 2x -3.
So right now I created a network with 1 input node, 100 hidden nodes and 1 output node and gave it a lot of epochs to train with a high test data size. The problem is that the pred... | https://stackoverflow.com/questions/55920015/how-to-realize-a-polynomial-regression-in-pytorch | python, regression, pytorch, polynomial-approximations | 1,556,624,019 |
se_79695488 | stackoverflow | MACHINE_LEARNING | Trained Huggingface EncoderDecoderModel.generate() produces only bos-tokens | Trained Huggingface EncoderDecoderModel.generate() produces only bos-tokens
I am working on a Huggingface transformers EncoderDecoderModel consisting of a frozen BERT-Encoder (answerdotai-ModernBERT-base) and a trainable GPT2-Decoder. Due to the different architectures for Encoder and Decoder, both come with different... | https://stackoverflow.com/questions/79695488/trained-huggingface-encoderdecodermodel-generate-produces-only-bos-tokens | python, deep-learning, pytorch, huggingface-transformers, large-language-model | 1,752,058,070 |
se_79700988 | stackoverflow | MACHINE_LEARNING | How TorchRL deals with multiple trajectories in the same batch? | How TorchRL deals with multiple trajectories in the same batch?
I am trying to understand how the DQN algorithm with RNNs works in PyTorch's RL API through this tutorial. However, the way some of the classes handle episodes and batches during training are unclear to me.
I noticed that SyncDataCollector stitches episod... | https://stackoverflow.com/questions/79700988/how-torchrl-deals-with-multiple-trajectories-in-the-same-batch | python, pytorch, reinforcement-learning | 1,752,501,047 |
se_71582280 | stackoverflow | MACHINE_LEARNING | RuntimeError: shape '[-1, 784]' is invalid for input of size 614400 | RuntimeError: shape '[-1, 784]' is invalid for input of size 614400
I'm practicing code that implements the "Auto-Encoding Variable Bayes (VAE)" paper.
However, the error "RuntimeError:shape [16, 1, 28, 28] is invalid for input of size 37632" has not been resolved. I don't know how to solve it. Please help me.... | https://stackoverflow.com/questions/71582280/runtimeerror-shape-1-784-is-invalid-for-input-of-size-614400 | python, pytorch, conv-neural-network, runtime-error, transformer-model | 1,648,013,744 |
se_79697190 | stackoverflow | MACHINE_LEARNING | ComfyUI error: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0 | ComfyUI error: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0
I am trying to train a LoRA in ComfyUI using the modified version of the example workflow for ComfyUI-FluxTrainer (https://github.com/kijai/ComfyUI-FluxTrainer/issues) I found on reddit here (https://www.reddit... | https://stackoverflow.com/questions/79697190/comfyui-error-expected-all-tensors-to-be-on-the-same-device-but-found-at-least | python, pytorch | 1,752,156,359 |
se_79700170 | stackoverflow | MACHINE_LEARNING | Cannot install pytorch in Python | Cannot install pytorch in Python
While installing pytorch in the terminal using
$ pip install pytorch
I get the following error
Collecting pytorch
Using cached pytorch-1.0.2.tar.gz (689 bytes)
Installing build dependencies ... done
Getting requirements to build wheel ... error
error: subprocess-exited-with-er... | https://stackoverflow.com/questions/79700170/cannot-install-pytorch-in-python | python, pytorch | 1,752,431,033 |
se_79691715 | stackoverflow | MACHINE_LEARNING | Can I use a custom attention layer while still leveraging a pre-trained BERT model? | Can I use a custom attention layer while still leveraging a pre-trained BERT model?
In the paper “Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks”, they multiply a similarity matrix with the attention scores inside the attention layer. I want to apply a similar customization, but I a... | https://stackoverflow.com/questions/79691715/can-i-use-a-custom-attention-layer-while-still-leveraging-a-pre-trained-bert-mod | pytorch, nlp, huggingface-transformers, bert-language-model, transformer-model | 1,751,802,422 |
se_79406168 | stackoverflow | MACHINE_LEARNING | Code higher efficientnet models based on B0 model | Code higher efficientnet models based on B0 model
I wanted to utilize EfficientNet models for my study. However, while I was able to construct EfficientNet-B0, I'm stuck on the part on expanding it to it's higher models - B1, B2, so on..
Here is my implementation of my code for B0:
import torch
import torch.nn as nn
... | https://stackoverflow.com/questions/79406168/code-higher-efficientnet-models-based-on-b0-model | deep-learning, pytorch, efficientnet | 1,738,478,736 |
se_75833935 | stackoverflow | MACHINE_LEARNING | Is there any way to specify a typehinted Pytorch DataLoader? | Is there any way to specify a typehinted Pytorch DataLoader?
Say I have the following:
class SomeClass:
def some_function(dataloader: DataLoader):
for idx, batch in enumerate(dataloader):
... do something with batch ...
I would like to type the dataloader such that I can show through function par... | https://stackoverflow.com/questions/75833935/is-there-any-way-to-specify-a-typehinted-pytorch-dataloader | python, pytorch, python-typing, pytorch-dataloader | 1,679,662,547 |
se_70986821 | stackoverflow | MACHINE_LEARNING | ERROR: Could not find a version that satisfies the requirement torch (from versions: none) ERROR: No matching distribution found for torch | ERROR: Could not find a version that satisfies the requirement torch (from versions: none) ERROR: No matching distribution found for torch
I tried to download torch by using pip install torch
I faced this problem:
C:\Users\Ahmad Sadek>pip install torch
ERROR: Could not find a version that satisfies the requirement tor... | https://stackoverflow.com/questions/70986821/error-could-not-find-a-version-that-satisfies-the-requirement-torch-from-versi | python, python-3.x, pytorch | 1,643,979,683 |
se_76067578 | stackoverflow | MACHINE_LEARNING | how can i download pytorch manually? | how can i download pytorch manually?
hello im trying to use some python programs that need pytorch and when trying to install it using the command
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
this is the error i get
WARNING: Retrying (Retry(total=4, connect=None, read=N... | https://stackoverflow.com/questions/76067578/how-can-i-download-pytorch-manually | python, pip, pytorch, download, package | 1,682,018,567 |
se_78059837 | stackoverflow | MACHINE_LEARNING | unable to implement tgt_mask and tgt_key_padding mask properly in transformer decoder model | unable to implement tgt_mask and tgt_key_padding mask properly in transformer decoder model
I have implemented a transformer decoder for next token prediction. I am passing the tgt_mask and tgt_key_padding mask to not attend the future tokens and to ignore the padding. but I am constantly receiving the error
Training ... | https://stackoverflow.com/questions/78059837/unable-to-implement-tgt-mask-and-tgt-key-padding-mask-properly-in-transformer-de | python, pytorch, nlp, transformer-model, attention-model | 1,708,939,721 |
se_79210054 | stackoverflow | MACHINE_LEARNING | import torch throws TypeError: can't set attributes of built-in/extension type 'torch._C.DisableTorchFunctionSubclass' | import torch throws TypeError: can't set attributes of built-in/extension type 'torch._C.DisableTorchFunctionSubclass'
I installed torch==1.13.0+cu116 and ran Python on the terminal. Then, I did import torch, but I got the following error:
>>> import torch
Traceback (most recent call last):
File "<stdin>... | https://stackoverflow.com/questions/79210054/import-torch-throws-typeerror-cant-set-attributes-of-built-in-extension-type | python, pytorch | 1,732,173,335 |
se_72226652 | stackoverflow | MACHINE_LEARNING | I want train a set of weight using pytorch, but the weights do not even change | I want train a set of weight using pytorch, but the weights do not even change
I want to reproduce a method from a paper, the code in this paper was written in tensorflow1.0 and I want to rewrite it in pytorch. A brief description, I want to get a set of G that can be used to reweight input data but in training, the G... | https://stackoverflow.com/questions/72226652/i-want-train-a-set-of-weight-using-pytorch-but-the-weights-do-not-even-change | tensorflow, pytorch | 1,652,430,896 |
se_65822014 | stackoverflow | MACHINE_LEARNING | RuntimeError: Input tensor at index 3 has invalid shape [2, 2, 16, 128, 64] but expected [2, 4, 16, 128, 64] | RuntimeError: Input tensor at index 3 has invalid shape [2, 2, 16, 128, 64] but expected [2, 4, 16, 128, 64]
Runtime error while finetuning a pretrained GPT2-medium model using Huggingface library in SageMaker - ml.p3.8xlarge instance.
The finetuning_gpt2_script.py contains the below,
Libraries:
from transformers impo... | https://stackoverflow.com/questions/65822014/runtimeerror-input-tensor-at-index-3-has-invalid-shape-2-2-16-128-64-but | python, pytorch, amazon-sagemaker, huggingface-transformers, gpt-2 | 1,611,209,478 |
se_78053086 | stackoverflow | MACHINE_LEARNING | solving an ODE using neural networks | solving an ODE using neural networks
I want to solve this ODE using neural nets. du/dt + 2u + t = 0 with initial condition u(0)=1 and t is between 0 to 2.
I want to use pytorch and automatic differentiation method to solve this equation. but I don't know how can I calculate du/dt in pytorch.
I want to define loss func... | https://stackoverflow.com/questions/78053086/solving-an-ode-using-neural-networks | pytorch, neural-network, ode, automatic-differentiation | 1,708,791,411 |
se_63047762 | stackoverflow | MACHINE_LEARNING | Correct way to register a parameter for model in Pytorch | Correct way to register a parameter for model in Pytorch
I tried to define a simple model in Pytorch. The model computes negative log prob for a gaussian distribution:
import torch
import torch.nn as nn
class GaussianModel(nn.Module):
def __init__(self):
super(GaussianModel, self).__init__()
sel... | https://stackoverflow.com/questions/63047762/correct-way-to-register-a-parameter-for-model-in-pytorch | python, pytorch | 1,595,483,772 |
se_75127947 | stackoverflow | MACHINE_LEARNING | How predict next word using LSTM model? | How predict next word using LSTM model?
I am currently building an LSTM model in Pytorch to predict the next word of a given input.
My model:
class LSTM(nn.Module):
def __init__(self, vocab_size, embedding_dim, hidden_dim, num_layers, dropout_rate, tie_weights):
super().__init__()
self.num_layers = num_laye... | https://stackoverflow.com/questions/75127947/how-predict-next-word-using-lstm-model | python, pytorch, lstm | 1,673,811,965 |
se_66217552 | stackoverflow | MACHINE_LEARNING | How to assign NaN to tensor element? | How to assign NaN to tensor element?
I want to assign NaN to a tensor element.
import torch
x = torch.tensor([1, 2, 3])
x[x == 2] = None
I have the error:
TypeError: can't assign a NoneType to a torch.LongTensor
I need it to make sure that some later sophisticated calculations are not made for certain values of x. | https://stackoverflow.com/questions/66217552/how-to-assign-nan-to-tensor-element | python, pytorch, typeerror, nan, tensor | 1,613,438,490 |
se_70159221 | stackoverflow | MACHINE_LEARNING | RuntimeError: mean(): input dtype should be either floating point or complex dtypes. Got Long instead | RuntimeError: mean(): input dtype should be either floating point or complex dtypes. Got Long instead
I wrote below code using PyTorch and ran into the runtime error:
tns = torch.tensor([1,0,1])
tns.mean()
---------------------------------------------------------------------------
RuntimeError ... | https://stackoverflow.com/questions/70159221/runtimeerror-mean-input-dtype-should-be-either-floating-point-or-complex-dty | python, pytorch, runtime-error, mean, tensor | 1,638,208,668 |
se_79690376 | stackoverflow | MACHINE_LEARNING | Pytorch C++ API doesn't load | Pytorch C++ API doesn't load
I am testing a C++ API and trying to load the .pt files which trained in Python and saved there.
My problem is that it stuck at loading it, in the exact this line
module = torch::jit::load(model_path); (mode_path is string variable and is path to my .pt).
I do not have graphics card an... | https://stackoverflow.com/questions/79690376/pytorch-c-api-doesnt-load | python, c++, pytorch | 1,751,641,420 |
se_77994888 | stackoverflow | MACHINE_LEARNING | Can we provide an example and motivation on when to use covariant and contravariant? | Can we provide an example and motivation on when to use covariant and contravariant?
I have some troubles finding real use cases of covariant/contravariant. I would like a concrete motivation and example on when covariant/contravariant is used, in particular, I would appreciate the example to be such that if covariant... | https://stackoverflow.com/questions/77994888/can-we-provide-an-example-and-motivation-on-when-to-use-covariant-and-contravari | python, pytorch, python-typing, liskov-substitution-principle | 1,707,919,622 |
se_79691807 | stackoverflow | MACHINE_LEARNING | How to find MSE when using a batch loader? | How to find MSE when using a batch loader?
I'm working on a regression task using deep learning models. While calculating the MSE, I have divided by the length of the dataset. However, ChatGPT is suggesting me to divide it by the length of the loader. What is the correct way to calculate MSE in this case?
Also, I want... | https://stackoverflow.com/questions/79691807/how-to-find-mse-when-using-a-batch-loader | python, deep-learning, pytorch, eval, mse | 1,751,810,199 |
se_74968093 | stackoverflow | MACHINE_LEARNING | Most efficient way to use a large image dataset with Google Colab -- getting drive timeout + memory errors | Most efficient way to use a large image dataset with Google Colab -- getting drive timeout + memory errors
I'm using Google Colab to a classifier in PyTorch and my training dataset has ~30,000 JPEG images which I have stored in my Google Drive. Efficiently using this large amount of data with Colab and Drive has been ... | https://stackoverflow.com/questions/74968093/most-efficient-way-to-use-a-large-image-dataset-with-google-colab-getting-dri | python, machine-learning, deep-learning, pytorch, google-colaboratory | 1,672,471,083 |
se_79686864 | stackoverflow | MACHINE_LEARNING | S3 Torchconnector loads data as a list of tensors | S3 Torchconnector loads data as a list of tensors
I'm setting up a model and about to start training a dataset from an S3 bucket. To load the data from S3 I'm using s3torchconnector.S3MapDataset.from_prefix which loads the data into the Sagemaker space I'm using. However, when I start to training, this S3torchconnecto... | https://stackoverflow.com/questions/79686864/s3-torchconnector-loads-data-as-a-list-of-tensors | python, database, amazon-s3, pytorch, amazon-sagemaker | 1,751,434,624 |
se_64980694 | stackoverflow | MACHINE_LEARNING | Pytorch, opencv installation problem in python2 having cv library installed in python3 | Pytorch, opencv installation problem in python2 having cv library installed in python3
I am running Python code on Ubuntu 18.04.
I needed opencv library for the code so I installed opencv using python3:
pip3 install opencv-python
But the code requires and compatible with Python 2.
I tried to install the library usin... | https://stackoverflow.com/questions/64980694/pytorch-opencv-installation-problem-in-python2-having-cv-library-installed-in-p | python, python-3.x, python-2.7, pytorch, ubuntu-18.04 | 1,606,195,504 |
se_78906762 | stackoverflow | MACHINE_LEARNING | PyTorch TensorBoard SummaryWriter giving empty metrics | PyTorch TensorBoard SummaryWriter giving empty metrics
I've been setting up tensorboard with PyTorch. Originally I was using lightning, and ran into an issue where I would log my hyperparameter, but the metrics in the HPARAMS tab would be empty. So, to pin point the issue I moved over to the simplest possible example ... | https://stackoverflow.com/questions/78906762/pytorch-tensorboard-summarywriter-giving-empty-metrics | python, tensorflow, pytorch, tensorboard, tensorboardx | 1,724,430,047 |
se_79605098 | stackoverflow | MACHINE_LEARNING | Cross-validation with PyTorch | Cross-validation with PyTorch
I am trying to implement cross-validation with PyTorch;
I am used to Sklearn's cross_validation function which is much simpler to use (most likely because I did not fully understand what was happening under the hood); I was hoping someone could advise if first of all this looks correct an... | https://stackoverflow.com/questions/79605098/cross-validation-with-pytorch | python, machine-learning, pytorch, cross-validation | 1,746,305,389 |
se_58692476 | stackoverflow | MACHINE_LEARNING | What is Adaptive Average Pooling and how does it work? | What is Adaptive Average Pooling and how does it work?
I recently came across a method in Pytorch when I try to implement AlexNet.
I don't understand how it works. Please explain the idea behind it (with some examples) and how it is different from Max Pooling or Average Pooling in terms of Neural Network functionality... | https://stackoverflow.com/questions/58692476/what-is-adaptive-average-pooling-and-how-does-it-work | python, math, neural-network, deep-learning, pytorch | 1,572,866,793 |
se_79635390 | stackoverflow | MACHINE_LEARNING | PyTorch and Streamlit interaction error: "Tried to instantiate class '__path__._path', but it does not exist!" | PyTorch and Streamlit interaction error: "Tried to instantiate class '__path__._path', but it does not exist!"
I'm developing an application that uses Streamlit and PyTorch (through the huggingface transformers library) to analyze system requirements with a language model. However, I'm encountering t... | https://stackoverflow.com/questions/79635390/pytorch-and-streamlit-interaction-error-tried-to-instantiate-class-path | python, machine-learning, pytorch, huggingface-transformers, streamlit | 1,747,998,374 |
se_71533654 | stackoverflow | MACHINE_LEARNING | open and read PT. file using python code by pytorch | open and read PT. file using python code by pytorch
I want to read a PT file with python and I don't know how, I want to open it with python
can you help me please, any ideas? | https://stackoverflow.com/questions/71533654/open-and-read-pt-file-using-python-code-by-pytorch | python, pytorch | 1,647,641,254 |
se_69429586 | stackoverflow | MACHINE_LEARNING | How to get a Histogram of PyTorch tensors in batches? | How to get a Histogram of PyTorch tensors in batches?
Is there a way to get the histograms of torch tensors in batches?
For Example:
x is a tensor of shape (64, 224, 224)
# x will have shape of (64, 256)
x = batch_histogram(x, bins=256, min=0, max=255) | https://stackoverflow.com/questions/69429586/how-to-get-a-histogram-of-pytorch-tensors-in-batches | python, pytorch, histogram, tensor | 1,633,303,115 |
se_79674587 | stackoverflow | MACHINE_LEARNING | PyTorch Lightning does not terminate on Mac OS Metal (M4 Max) when num_workers > 0 | PyTorch Lightning does not terminate on Mac OS Metal (M4 Max) when num_workers > 0
I've been trying to train some basic models using PyTorch Lightning on an M4 Max Mac Studio. While the training itself goes without hitch, there appears to be a problem when attempting to terminate the program at the end. After train... | https://stackoverflow.com/questions/79674587/pytorch-lightning-does-not-terminate-on-mac-os-metal-m4-max-when-num-workers | python, pytorch, pytorch-lightning | 1,750,522,674 |
se_59149138 | stackoverflow | MACHINE_LEARNING | How do you invert a tensor of boolean values in Pytorch? | How do you invert a tensor of boolean values in Pytorch?
With NumPy, you can do it with np.invert(array), but there's no invert function in Pytorch. Let's say I have a 2D tensor of boolean values:
import torch
ts = torch.rand((10, 4)) < .5
tensor([[ True, True, False, True],
[ True, True, True, True],
... | https://stackoverflow.com/questions/59149138/how-do-you-invert-a-tensor-of-boolean-values-in-pytorch | python, python-3.x, machine-learning, deep-learning, pytorch | 1,575,338,009 |
se_79681636 | stackoverflow | MACHINE_LEARNING | GPU out of memory issue when training in PyTorch | GPU out of memory issue when training in PyTorch
I am trying training data for my AI/ML model and got CUDA out of memory issue :
Any solution would be the great help
torch.cuda.OutOfMemoryError: CUDA out of memory.
Tried to allocate 3.52 GB. GPU 0 has a total capacity of 11.75 GB of which 609.19 MB is free. I... | https://stackoverflow.com/questions/79681636/gpu-out-of-memory-issue-when-training-in-pytorch | python, pytorch, gpu | 1,751,013,277 |
se_55820303 | stackoverflow | MACHINE_LEARNING | Fixing the seed for torch random_split() | Fixing the seed for torch random_split()
Is it possible to fix the seed for torch.utils.data.random_split() when splitting a dataset so that it is possible to reproduce the test results? | https://stackoverflow.com/questions/55820303/fixing-the-seed-for-torch-random-split | pytorch, torch | 1,556,058,995 |
se_79644970 | stackoverflow | MACHINE_LEARNING | ERROR: Failed building wheel for mamba-ssm | ERROR: Failed building wheel for mamba-ssm
Error Message:
RuntimeError:
The detected CUDA version (11.8) mismatches the version that was used to compile
PyTorch (12.6). Please make sure to use the same CUDA versions.
The complete log is shown at the end as follows:
ERROR: Failed building wheel for mamba-ssm
Failed to... | https://stackoverflow.com/questions/79644970/error-failed-building-wheel-for-mamba-ssm | pytorch, mamba-ssm | 1,748,584,974 |
se_79676236 | stackoverflow | MACHINE_LEARNING | What size should an `IterableDataset` report when used in a multi-worker `DataLoader`? | What size should an `IterableDataset` report when used in a multi-worker `DataLoader`?
Here's a simple dataset and a data loader that uses it:
import torch
from torch.utils.data import DataLoader, IterableDataset
class Dataset(IterableDataset):
def __init__(self, size: int):
super().__init__()
se... | https://stackoverflow.com/questions/79676236/what-size-should-an-iterabledataset-report-when-used-in-a-multi-worker-datalo | python, pytorch, pytorch-dataloader | 1,750,684,286 |
se_70621634 | stackoverflow | MACHINE_LEARNING | TypeError: forward() got an unexpected keyword argument 'input_ids' | TypeError: forward() got an unexpected keyword argument 'input_ids'
I have pre-trained BERT model with my head.
I am using a fine-tuned Roberta Model that is unbiased-toxic-roberta trained on Jigsaw Data:
https://huggingface.co/unitary/unbiased-toxic-roberta
Creating the data using pytorch dataset
tokenizer = ... | https://stackoverflow.com/questions/70621634/typeerror-forward-got-an-unexpected-keyword-argument-input-ids | python-3.x, pytorch, huggingface-transformers | 1,641,560,329 |
se_72262608 | stackoverflow | MACHINE_LEARNING | Steps for Machine Learning in Pytorch | Steps for Machine Learning in Pytorch
When we define our model in PyTorch. We run through different #epochs. I want to know that in the iteration of epochs.
What is the difference between the two following snippets of code in which the order is different? These two snippet versions are:
I found over tutorials
The cod... | https://stackoverflow.com/questions/72262608/steps-for-machine-learning-in-pytorch | python, machine-learning, pytorch | 1,652,718,861 |
se_74057587 | stackoverflow | MACHINE_LEARNING | How to export PyTorch model to file (Python) and load it (libtorch C++) using TorchScript? | How to export PyTorch model to file (Python) and load it (libtorch C++) using TorchScript?
I am struggling with the (de)serialization of PyTorch data. I would like to save my model to a PT(H) file after training it with PyTorch (using GPU). Next I would like to load that serialized model in C++ context (using libtorch... | https://stackoverflow.com/questions/74057587/how-to-export-pytorch-model-to-file-python-and-load-it-libtorch-c-using-to | c++, serialization, pytorch, deserialization, libtorch | 1,665,671,693 |
se_79674172 | stackoverflow | MACHINE_LEARNING | PyTorch CUDA Out of Memory in Graph Generation | PyTorch CUDA Out of Memory in Graph Generation
In my project I use pytorch to deploy a customed llm inference. In generation step I use torch.cuda.graph to reduce the CPU overhead since the implement of this llm is quite naive torch-version.
In short I slice the total max output token length to several steps, each st... | https://stackoverflow.com/questions/79674172/pytorch-cuda-out-of-memory-in-graph-generation | pytorch, large-language-model | 1,750,483,003 |
se_79641155 | stackoverflow | MACHINE_LEARNING | CNN predicts constant values for sparse amplitude regression — can't learn true pixel values | CNN predicts constant values for sparse amplitude regression — can't learn true pixel values
I’m training a small CNN (code below) to predict sparse amplitude maps from binary masks.
Input: 60×60 image with exactly 15 pixels set to 1, rest are 0.
Target: Same size, 0 everywhere except those 15 pixels, which have... | https://stackoverflow.com/questions/79641155/cnn-predicts-constant-values-for-sparse-amplitude-regression-cant-learn-true | tensorflow, machine-learning, deep-learning, pytorch, conv-neural-network | 1,748,377,627 |
se_79638978 | stackoverflow | MACHINE_LEARNING | Stable Diffusion WebUI Torch Installation Error: [WinError 32] File in Use by Another Process | Stable Diffusion WebUI Torch Installation Error: [WinError 32] File in Use by Another Process
I'm trying to run Stable Diffusion WebUI (v1.10.1) on Windows using the built-in launch.py script. However, during the environment setup, it fails to install torch==2.1.2 and torchvision==0.16.2.
Here are my environment detai... | https://stackoverflow.com/questions/79638978/stable-diffusion-webui-torch-installation-error-winerror-32-file-in-use-by-an | windows, pytorch, torch, torchvision, stable-diffusion | 1,748,264,886 |
se_79671010 | stackoverflow | MACHINE_LEARNING | Numpy function sum does not work on PyTorch tensors | Numpy function sum does not work on PyTorch tensors
I am wondering if it is expected that if I call numpy.sum on a PyTorch tensor I get an error. As an aside, it does work on Pandas DataFrames.
data = [[1.1, 2.2], [1.1, 2.2], [1.1, 2.2]]
a = np.array(data)
d = pd.DataFrame(data)
t = torch.tensor(data)
np.sum(a, axis... | https://stackoverflow.com/questions/79671010/numpy-function-sum-does-not-work-on-pytorch-tensors | python, numpy, pytorch, compatibility | 1,750,264,048 |
se_69230570 | stackoverflow | MACHINE_LEARNING | How to do batched dot product in PyTorch? | How to do batched dot product in PyTorch?
I have a input tensor that is of size [B, N, 3] and I have a test tensor of size [N, 3] . I want to apply a dot product of the two tensors such that I get [B, N] basically. Is this actually possible? | https://stackoverflow.com/questions/69230570/how-to-do-batched-dot-product-in-pytorch | pytorch | 1,631,923,631 |
se_79659212 | stackoverflow | MACHINE_LEARNING | AttributeError: 'list' object has no attribute 'to' (samples are actually a Tensor) | AttributeError: 'list' object has no attribute 'to' (samples are actually a Tensor)
EDIT:
I'm training a model using a custom dataloader. The outcome from the dataloader is a list of tensors which cannot be processed by the main model because I have defined the sampler as samples = samples.to(device, n... | https://stackoverflow.com/questions/79659212/attributeerror-list-object-has-no-attribute-to-samples-are-actually-a-tens | python, machine-learning, pytorch, tensor, training-data | 1,749,486,826 |
se_66992585 | stackoverflow | MACHINE_LEARNING | How does one use Pytorch (+ cuda) with an A100 GPU? | How does one use Pytorch (+ cuda) with an A100 GPU?
I was trying to use my current code with an A100 gpu but I get this error:
---> backend='nccl'
/home/miranda9/miniconda3/envs/metalearningpy1.7.1c10.2/lib/python3.8/site-packages/torch/cuda/__init__.py:104: UserWarning:
A100-SXM4-40GB with CUDA capability sm_80 is n... | https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu | python, machine-learning, neural-network, pytorch | 1,617,822,268 |
se_79668219 | stackoverflow | MACHINE_LEARNING | issues installing PyTorch in a new virtual environment | issues installing PyTorch in a new virtual environment
I'm testing some models and have created virtual environments for them. One of them required PyTorch which I was able to install with no issues. However, for another one, I've made a new virtual environment and when installing flash-attn, it complains about missin... | https://stackoverflow.com/questions/79668219/issues-installing-pytorch-in-a-new-virtual-environment | python, pytorch, flash-attn | 1,750,106,757 |
se_79618223 | stackoverflow | MACHINE_LEARNING | PyTorch3D Build Fails with "Cannot open include file: 'thrust/detail/cstdint.h'" | PyTorch3D Build Fails with "Cannot open include file: 'thrust/detail/cstdint.h'"
I'm trying to build PyTorch3D from source on Windows 11 using CUDA 12.8, but the build fails with the following error during the compilation of CUDA extensions:
FAILED: D:/Project/3D_Reconstruction/src/pytorch3d/build/te... | https://stackoverflow.com/questions/79618223/pytorch3d-build-fails-with-cannot-open-include-file-thrust-detail-cstdint-h | python, machine-learning, deep-learning, pytorch, computer-vision | 1,747,065,151 |
se_79662773 | stackoverflow | MACHINE_LEARNING | How to transform a S3 directory as os.Path in Python with boto3? | How to transform a S3 directory as os.Path in Python with boto3?
I want to use ImageFolder from Torchvision with an AWS S3 bucket where I have my dataset saved, however, it requires a os.Path like file and with boto3 I can just get a directory or a list which is not allowed by ImageFolder. Do you know how can I get a ... | https://stackoverflow.com/questions/79662773/how-to-transform-a-s3-directory-as-os-path-in-python-with-boto3 | python, amazon-web-services, machine-learning, amazon-s3, pytorch | 1,749,684,797 |
se_79662498 | stackoverflow | MACHINE_LEARNING | How can I view the value of a LibTorch tensor in Visual Studio debugger | How can I view the value of a LibTorch tensor in Visual Studio debugger
In the image below I am running the same PPO minimalist project. On the right side is the original code in python with PyTorch in VSCode. On the left side is the converted code in C++ with LibTorch in VS2022 Community Edition.
The Python VSCode sh... | https://stackoverflow.com/questions/79662498/how-can-i-view-the-value-of-a-libtorch-tensor-in-visual-studio-debugger | c++, pytorch, libtorch | 1,749,667,525 |
se_60667134 | stackoverflow | MACHINE_LEARNING | How to visualize 3d joints of a SMPL model based on pose params | How to visualize 3d joints of a SMPL model based on pose params
I am trying to use demo.py in nkolot
/
GraphCMR | GitHub. I am interested in obtaining joints from the inferred SMPL image and visualize it similar to described in README of this project: gulvarol
/
smplpytorch | GitHub.
I also posted the issue here: http... | https://stackoverflow.com/questions/60667134/how-to-visualize-3d-joints-of-a-smpl-model-based-on-pose-params | deep-learning, computer-vision, pytorch | 1,584,088,157 |
se_79666147 | stackoverflow | MACHINE_LEARNING | PyTorch Sharing CUDA tensors | PyTorch Sharing CUDA tensors
I have a question considering sharing gpu-tensors between processes using the torch.multiprocessing module. Here is a minimal example:
import torch
import torch.multiprocessing as mp
from torch.nn import Embedding
import time
device = 'cuda' if torch.cuda.is_available() else 'cpu'
def wor... | https://stackoverflow.com/questions/79666147/pytorch-sharing-cuda-tensors | pytorch, python-multiprocessing | 1,749,934,586 |
se_72725944 | stackoverflow | MACHINE_LEARNING | Create custom connection/ non-fully connected layers in Pytorch | Create custom connection/ non-fully connected layers in Pytorch
As shown in the figure, it is a 3 layer with NN, namely input layer, hidden layer and output layer. I want to design the NN(in PyTorch, just the arch) where the input to hidden layer is fully-connected. However, from hidden layer to output, the first two ... | https://stackoverflow.com/questions/72725944/create-custom-connection-non-fully-connected-layers-in-pytorch | python, machine-learning, deep-learning, neural-network, pytorch | 1,655,968,201 |
se_51054627 | stackoverflow | MACHINE_LEARNING | PyTorch Autograd automatic differentiation feature | PyTorch Autograd automatic differentiation feature
I am just curious to know, how does PyTorch track operations on tensors (after the .requires_grad is set as True and how does it later calculate the gradients automatically. Please help me understand the idea behind autograd. Thanks. | https://stackoverflow.com/questions/51054627/pytorch-autograd-automatic-differentiation-feature | python, machine-learning, computer-vision, pytorch | 1,530,074,320 |
se_79653745 | stackoverflow | MACHINE_LEARNING | Using Torchvison ImageFolder on AWS S3 | Using Torchvison ImageFolder on AWS S3
I'm working with an AWS S3 instance and trying to deploy a SSL model loading a dataset from a bucket list I have defined on S3. The DL framework I'm using is PyTorch and more concretely to load the images dataset from S3 I'm using Torchvsion. However, when I try to load the image... | https://stackoverflow.com/questions/79653745/using-torchvison-imagefolder-on-aws-s3 | amazon-web-services, amazon-s3, pytorch, amazon-sagemaker, torchvision | 1,749,093,628 |
se_79641245 | stackoverflow | MACHINE_LEARNING | Is it possible to save a Pytorch model and continue training the model later without needing the model class definition? | Is it possible to save a Pytorch model and continue training the model later without needing the model class definition?
I am curious, as I have not found a way to save a Pytorch model and load the same model to continue training it on a new dataset without needing the original model definition.
So far, I know how to ... | https://stackoverflow.com/questions/79641245/is-it-possible-to-save-a-pytorch-model-and-continue-training-the-model-later-wit | pytorch, neural-network | 1,748,382,908 |
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