Questions tagged [pytorch-ignite]
9 questions
3
votes
1 answer
Optuna Pytorch: returned value from the objective function cannot be cast to float
def autotune(trial):
cfg= { 'device' : "cuda" if torch.cuda.is_available() else "cpu",
# 'train_batch_size' : 64,
# 'test_batch_size' : 1000,
# 'n_epochs' : 1,
# 'seed' : 0,
# …
Tonz
- 95
- 8
1
vote
1 answer
Transformers summarization with Python Pytorch - how to get longer output?
I use Ai-powered summarization from https://github.com/huggingface/transformers/tree/master/examples/summarization - state of the art results.
Should i train it myself to get summary output longer than used in original huggingface github training…
Vic Nicethemer
- 1,011
- 2
- 14
- 36
1
vote
1 answer
DiagonalBiLSTM RuntimeError: bool value of Tensor with more than one value is ambiguous
I am trying to implement Diagonal BiLSTM using a torch. I have CBAM model prepared, also spatial gate as mentioned in this article. My code for defining conv2d layer is as follows.
def Conv2D(name, input_dim, output_dim, filter_size, inputs,…
Jayant Chauhan
- 177
- 1
- 10
0
votes
0 answers
ValueError: y and y_pred must have same shape of (batch_size, num_categories, ...) and num_categories > 1
This is my code and I use pytorch-ignite. The shape of sample's labels are (batch_size,) and the outputs of my netwroy as y_pred is (batch_size,10) and 10 is the number of my class. I use criterion = F.cross_entropy as a loss function. after an…
omid
- 445
- 5
- 20
0
votes
0 answers
Pytorch ignite metrics - passing objects
I've been playing with metrics in pytorch ignite and have come across an issue with passing ignite objects to other ignite objects, for instance this code
cm = metrics.ConfusionMatrix(10)
cm.reset()
cm.update((y_pred,…
Dominik Ficek
- 138
- 11
0
votes
1 answer
Pytorch ignite create_supervised_evaluator not returning the Custom Metrics
I am trying to use create_supervised_evaluator from ignite.engine with my custom Metrics
evaluator = create_supervised_evaluator(model, metrics={'perform': Perform()}, device=device)
But evaluator.state.metrics.keys() is returning empty state…
Prayalankar Ashutosh
- 121
- 4
0
votes
0 answers
Dataloder with IterableDataset throws exception: expected unspecified batch_sampler option
I tried to implement custom IteratableDataset with Dataloder as follows:
class LazyDataset(IterableDataset):
def __init__(self, file_dir):
self.file_dir = file_dir
self.files = os.listdir(file_dir)
def __len__(self) -> int:
…
Amir
- 13,841
- 10
- 67
- 104
0
votes
1 answer
Write validation metrics on pytorch-ignite ProgressBar on same line
Is there a way to write validation metrics at the end of the progress bar using pytorch-ignite like in keras?
Right now, I'm using ProgressBar.log_message (example below) to print the relevant metrics, but doing so prints on a new line at the end of…
name.disp
- 243
- 1
- 5
0
votes
2 answers
How can I use the LBFGS optimizer with pytorch ignite?
I started using Ignite recently and i found it very interesting.
I would like to train a model using as an optimizer the LBFGS algorithm from the torch.optim module.
This is my code:
from ignite.engine import Events, Engine,…
Riverarodrigoa
- 554
- 8
- 21