Comments (3)
Hi, I do not quite understand the question.
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why do we need a tensorflow.dll
- tensorflow.dll way to use C API without the need to build TF, as well as have a single cross-platform interface.
I also do not urge to use C API, if you prefer to use any other API, better use it.
For internal reasons at work, it was convenient to use the С API, later I made this repository purely, for example, maybe it turned out to be useful to someone. -
what's the relation between c++ client session and c_api TF_Session and core/public/session in tensorflow source code
- It is well described in the answer https://stackoverflow.com/a/44714132/9514814.
Again, in this repository, examples of the code that we use at work, other wrappings and implementations are possible.
from hello_tf_c_api.
Do you have any additional questions?
from hello_tf_c_api.
@Neargye I am searing more information, but I can shutdown this for now.
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.