Comments (6)
Try cmake, it's creat vs proj.
git clone --depth 1 https://github.com/Neargye/hello_tf_c_api
cd hello_tf_c_api
mkdir build
cd build
cmake -G "Visual Studio 15 2017" -A x64 ..
cmake --build . --config Debug
from hello_tf_c_api.
from hello_tf_c_api.
Thanks! I successfully compiled and ran your code. It's working! I hardly can find differences with my code that leaks memory every TF_SessionRun and I don't find you initialize graphdef with TF_GraphImportGraphDef, I find this in other c_api examples, seems like this is unnecessary for prediction?
from hello_tf_c_api.
Leaks can be by many options, need check code line by line.
from hello_tf_c_api.
Checnk tf_utils files, it's wrapper on tf c api.
from hello_tf_c_api.
Yes, this is what I did when find this repo but find no big difference. The only thing is TF_GraphImportGraphDef that was in original code snippet I find and now I blame this method for memory leak. If you are interested in my code, I have posted question about memory leak on stackoverflow.
from hello_tf_c_api.
Related Issues (20)
- Memory leak during inference with frozen graph HOT 9
- session_run hangs on GPU (libtensorflow-gpu) HOT 4
- question about this library HOT 3
- how to turn off verbose and idle threads?
- GPU dll HOT 5
- cuda_driver.cc:175] Check failed HOT 1
- How to create Tensor of TF_BOOL? HOT 2
- TF_INVALID_ARGUMENT
- Inference is running very slow on CPU HOT 1
- Multiple models inference HOT 4
- 3D input to model returns different output than python HOT 1
- What is this actually doing? HOT 2
- TF_SessionRun with multiple outputs gives Segmentation Fault HOT 5
- TF_INVALID_ARGUMENT HOT 1
- Multiple GPU Inferencing HOT 1
- cmake -G "Unix Makefiles" .. stop HOT 1
- Confine TensorFlow C API not to generate more than one threads
- Import LSTM-Layer: Expected input[1] to be control input
- when i load graph the TF_Code is ‘TF_UNKNOWN’ , why?
- when i load graph the TF_Code is ‘TF_INVALID_ARGUMENT ’ , why?
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from hello_tf_c_api.