Comments (3)
Hi, it seems there is something wrong in profiling. Maybe you could debug the benchmark model by running command like this:
# push the model to device
adb [-s <device-serial>] push <path-of-your-model> <remote-model-path-to-push>
# run the benchmark model
adb [-s <device-serial>] shell <path-of-your-benchmark-model> --num_threads=1 --num_runs=50 --warmup_runs=10 --graph=<remote-model-path> --enable_op_profiling=true --use_gpu=false
if the benchmark model works well, there will be messages containing latency of each node, and summary message like this:
Timings (microseconds): count=222 first=3897 curr=3924 min=3858 max=4031 avg=3925.67 std=29
Memory (bytes): count=0
133 nodes observed
from nn-meter.
我遇到了相同的问题,同时我进行了测试,可以得到如下的信息:Timings (microseconds): count=100 first=913862 curr=914318 min=877044 max=926036 avg=911992 std=8223
Memory (bytes): count=0
1 nodes observed,但是在正则化匹配时匹配失败 @ @JiahangXu
from nn-meter.
我在dev/profile-in-local上找到了解决方案,谢谢
from nn-meter.
Related Issues (20)
- Why removed nodes are not removed from inbound
- can nn-meter be used for pytorch/tensorflow on the server device? HOT 2
- Comparing string to list
- Can you explain why stride[::3] has to be [1, 1]?
- Do we need self._fetch_connections(kernels)?
- Why used [kernel_extent_w, kernel_extent_h] as k_size?
- Why set output_shape to 0?
- Used get_h to calculate outw...Is this a typo HOT 1
- self.tmp_dir not found HOT 1
- How did you measure FLOPS of different CPU and GPU in the baseline comparison experiment? HOT 1
- Using NNI with nn-Meter HOT 4
- how to predict model generated from keras model.save()? HOT 2
- Can you provide the specific time and accuracy of each epoch of tflite_cpu training the conv-bn-relu kernel? HOT 3
- Question on Padding Calculation for Building PyTorch Networks HOT 3
- KeyError in graph_tool
- Error in Prediction of certain Model Families HOT 2
- in the next two rounds, the accuracy rate drops HOT 3
- How can I get the models in datasets.zip?
- NotImplementedError
- How to use PyTorch or TensorFlow to check the predicted value 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 nn-meter.