Comments (10)
Are you compiling x64? Could you send a error message?
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Now compiled, how to choose to use CPU or GPU?
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Different build are required with the support of CPU and GPU. My library is build with the support of the Cpu.
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I can't successfully build tensorflow for GPU..View official README,Does the DEBUG version require python35d.lib ?
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Different build are required with the support of CPU and GPU. My library is build with the support of the Cpu.
Can you try to build a GPU version tensorflow? i can't compelete it. thx
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@Neargye Can you provide Python generated code for PB files, my PB file does not work properly.
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Can you try to build a GPU version tensorflow? i can't compelete it. thx
@taotaolin i add GPU build https://github.com/Neargye/tensorflow/releases/tag/v1.11.0
from hello_tf_c_api.
@Neargye Can you provide Python generated code for PB files, my PB file does not work properly.
Could you please clarify which code interests you?
from hello_tf_c_api.
@Neargye Can you provide Python generated code for PB files, my PB file does not work properly.
Could you please clarify which code interests you?
I want to load MNIST graph with the C++ API, but follow the link http://jackytung8085.blogspot.com/2016/06/loading-tensorflow-graph-with-c-api-by.html method, it was found that the compiler could not be successfully compiled.
I can't understand how to load my MNIST model using methods like hello_tf_c_api/src/session_run.cpp
.
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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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