Comments (2)
Sorry to bother you with something off topic. Have you been able to download the dataset from the links provided? I've been trying to download it for days but it doesn't work
from a-pytorch-tutorial-to-image-captioning.
encoder_dim = encoder_out.size(3) Dimension out of range (expected to be in range of [-2, 1], but got 3)
@yuhua666 , I am assuming you are not training in batches, this is why you are lacking that dimension. Your output features probably look like this:
encoder_dim = torch.rand(196, 2048) # (num_pixels, dimensionality)
encoder_dim.size(3) # This will result in your error.
[-2, 1] means you can only call sizes from -2 to 1. 0 and 1 would be the first two sizes, and -1 and -2 would also be those two, but taken in reverse order (E.g. encoder_dim.size(-1) = 2048; encoder_dim.size(-2) = 196).
What you need right there in your search function is an encoder like this:
encoder_dim = torch.rand(10, 14, 14, 2048) # (batch_size, width, height, dimensionality)
encoder_dim.size(3) # Now this will return your 2048 (number of filters)
If your GPU cannot hold multiple batches, you can just send it in one batch just to fill that dimension.
from a-pytorch-tutorial-to-image-captioning.
Related Issues (20)
- why use LSTMCell not use LSTM directly HOT 3
- Asking about List of Packages Version
- Failed to create .hdf5 files
- bleu-4 does not increase HOT 2
- Code stopped @ train.py with this error,
- Anyone , Please help to solve this error HOT 3
- If i want to use RL for this , how will i do ?
- eval.val is not working.
- Dataset not available HOT 3
- ValueError: max() arg is an empty sequence HOT 3
- High loss and low bleu-4 for training HOT 7
- Example Notebook?? HOT 1
- In eval.py, it seems that for each image, the model has to recalculate 5 times, is it too inefficient?
- Please help me with the error:RuntimeError: Expected target size [32, 9490], got [32, 51] HOT 1
- I think this a bug. caption.py 140 HOT 5
- RuntimeError: CUDA error: device-side assert triggered
- Only the author mentions half the bleu-4 score HOT 2
- can this model detect and recognize text in images containing text HOT 1
- I get this issues:Dimension out of range (expected to be in range of [-2, 1], but got 2) HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from a-pytorch-tutorial-to-image-captioning.