tf-approximate
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ehw-fit
Approximate layers - TensorFlow extension
Dear authors, Thank you for making your idea open source. I looked through the issues raised earlier and could not find similar points raised. I was going through the repository...
Hi, I just wanted to install the tf approx, but I couldn't do that, as I got the error on this link: "https://ehw.fit.vutbr.cz/tf-approximate/tf-approximate-gpu.sif" Would you please help us for this...
hello, I want to express my gratitude for sharing your open source code. I came across your project while searching for solutions related to approximate multipliers, and I'm eager to...
Hi! I want to build TFapprox with tensorflow 2.3 but it gives me error with cmake. I was wondering what could be the other requirements for building the environment with...
FATAL: container creation failed: mount error: can't mount image /proc/self/fd/9: failed to mount squashfs filesystem: invalid argument. I have python 3.8 and singularity 3.0.3 installed
Hi, my name is John. Thank for your opening source. In your code, the quantization of weight and activation are both UINT8[0, 255] , so unsigned 8*8 multipilers are used....
Hi, I was wondering if approx_nn_conv_ops_ref.cpp needs to be edited and then, the libApproxGPUOpsTF.so need to be created again if we want to make any changes in the convolution. It...
Hello, Thanks for old reply for my issue. I try my addition unit and observe the result. I see error rate cause high error rates for the network. So, I...
In file python/keras/layers/fake_approx_convolutional.py: When registering gradient for approximate convolution layer you should replace: @ops.RegisterGradient("FakeApproxConv2D") with @tf.RegisterGradient("ApproxConv2DWithMinMaxVars") RegisterGradient function takes name of the TF operator not the layer. Greetings Ratko
