mfigurnov / sact Goto Github PK
View Code? Open in Web Editor NEWSpatially Adaptive Computation Time for Residual Networks
License: Apache License 2.0
Spatially Adaptive Computation Time for Residual Networks
License: Apache License 2.0
Hi, First of all great paper, i am trying to run the scripts to evaluate with ImageNet data set, I am not able to get any data from the URL, 'https://raw.githubusercontent.com/tensorflow/models/master/inception/inception/data/'.
Also the link to prepare the ImageNet Dataset in TF-Slim format under 'Instructions' (https://github.com/tensorflow/models/tree/master/inception#getting-started) gives 404.
Any help would be appreciated.
regards,
anki
The code imagenet_train.py needs a pretrained resnet-101. However, Kaiming He just provide the prototxt and weights in Caffe version.
I have checked your code and find in file flopsometer.py
, function conv2d
you don't actually accelerating convolution but just calculate the FLOPS. However, even if FLOPS is less, you cannot say that the convolution operation must be accelerated. Because in convolution, most of the time cost is IO, for example, the im2col operation.
Hi, recently i wanna visualize some intermediate feature maps in your programs. I use some way like
sess = tf.Session() , sess.run(images), {images are the tensor in cifar_main.py file}. It seems that it does not work, i can not convert the images tensor to numpy.
Do you have any idea to get some intermediate feature maps?
I am not sure this is my computer problem or not. After opening your pdf file, there are many typos inside
Recall that the residual function consists of a stack of 1 × 1, 3 × 3 and 1 × 1 convolutional layers. The first convolutional layer has to be evaluated in the positions obtained by dilating the active positions set with a 3 × 3 kernel. The second and third layers need to be evaluated just in the active positions.
Hello, I found a performance issue in the difinition of sact_image_heatmap
, summary_utils.py, tf.stack will be created repeately during the program execution, resulting in reduced efficiency. So I think it should be created before the loop in the sact_image_heatmap
.
The same issues exist in:
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.
In imagenet_model you defined resnet_v2 with global_pool,
is there any reason that cifar model doesn't contain global average pooling?
Am I missing something?
or the part
Line 86 in 6c45317
I use 2 Titan XP with Tensorflow 1.7.
I tried to evaluate the pretrained model on ImageNet.
Even though I set the flag numexamples to 10 for quicker test,
It is running over 20 hours...
Is this normal?
I ran the whole validation set with batch size 50, so I got 50000 image jpgs and 50000 ponder map pngs.
I tried to find the figure in your README just to make sure everything's done well.
I only found the one below,
and I found I have couple of redundant images like:
My ImageNet raw-data seems find but I think I have a problem with tfrecord,
since I get almost 0 evaluation accuracy only in ImageNet (doing well on cifar-10).
I also posted an issue about the ImageNet script.
tensorflow/models#4051
I'm planning to reproduce part of your code to pytorch,
and if my issue is just because of the tfrecord issue, I will be fine.
Or am I missing something?
I use 2 Titan XP with python 2.7
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.