Comments (4)
Hi, with our official supported config I can't reproduce this error. Can you please provide the following information:
Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No
OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
TensorFlow installed from (source or binary):
TensorFlow version (use command below):
Python version:
GCC/Compiler version (if compiling from source):
CUDA/cuDNN version:
GPU model and memory:
Exact command to reproduce:
SbNet repo commit sha:
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TensorFlow installed from (source or binary): pip
TensorFlow version (use command below): 1.8.0
Python version: 3.5
GCC/Compiler version (if compiling from source):
CUDA/cuDNN version:9/7.1
GPU model and memory: 1080ti/11gb X 2
Exact command to reproduce: make test
SbNet repo commit sha:
commit 01e56ff
Author: Mengye Ren [email protected]
Date: Tue May 29 23:18:07 2018 -0400
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We are supporting Python 2.7 at this time. Have you tried with 2.7?
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I will do that, I am assuming that is the reason that the make test fails, but i am still able to use the library successfully.
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Related Issues (20)
- auto testing error HOT 2
- Running with variable input size HOT 2
- Is the detection model used in the SBNet paper open? HOT 2
- AttributeError: module 'f21c708d1ddc75dcce283dd13fe531f7' has no attribute 'sparse_gather' HOT 4
- No speed-up despite sparsity HOT 15
- Usage within C++ inference pipeline HOT 1
- Performance for sparse_scatter_var worse not always better than sparse_scatter HOT 3
- Unable to cast to tf.Variable after sparse_scatter operation HOT 1
- CXX11_ABI Flag HOT 2
- No gradient defined for SparseScatter_Var HOT 4
- Invalid configuration argument reduce mask
- make test error 1 HOT 2
- sparse_conv_lib doesn't do sparse_conv2d_custom correctly HOT 1
- Huge loss in accuracy using SBNet HOT 3
- Tensorflow 1.11.0 Error HOT 9
- sample.py not working
- is there a pytorch version? HOT 4
- Time cost increases HOT 1
- Is there any way to reduce computation time of sbnet_module.reduce_mask? HOT 2
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