sbnet
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Sparse Blocks Networks
Hi. Thanks for the codes and the detailed instruction. I implemented sparse convolution into my encoder: ```python with tf.variable_scope('featureEncoder'): auxiShape = (self.inputShape[0], self.inputShape[1], self.inputShape[2], 7) featureShape = (self.inputShape[0], self.inputShape[1], self.inputShape[2],...
You have an error with TF 1.11.0. It's impossible to build the library.  I manage to build it with TF 1.8.0 / 1.9.0 / 1.10.0 but with TF 1.11.0...
OP_REQUIRES macro has changed since tensorflow version 1.5 The expression requires a semicolon postfix
When I run sample.py, I get the following error: Traceback (most recent call last): File "sample.py", line 61, in indices = sbnet_module.reduce_mask(mask, blockCount, tol=0.5, **inBlockParams) TypeError: reduce_mask() got an unexpected...