EDIT: attaching some code to help generate similar results (appended at end) I have a really small model with architecture [2, 3, 6] where the hidden layer uses ReLU and it's a softmax activation f...

I have a TensorFlow model on which I would like to perform post-training quantization. I am using C# for software and the device will be in c++ (where I will use tflite). It would be nice to have t...

I'm developing a custom thin-client server that serves rendered webpages to its clients. Server is running on multicore Linux box, with Webkit providing the html rendering engine. The only problem...

Using tflite and getting properties of interpreter like : print(interpreter.get_input_details()) [{'name': 'input_1_1', 'index': 47, 'shape': array([ 1, 128, 128, 3], dtype=int32), 'dtype': <...

The paper "Natural Language Processing with Small Feed-Forward Networks" https://arxiv.org/pdf/1708.00214.pdf states: I've implemented quantization as per the above equations in python: ...

I am trying to understand quantization in tensorflow and I am following this tutorial. https://heartbeat.fritz.ai/8-bit-quantization-and-tensorflow-lite-speeding-up-mobile-inference-with-low-preci...

I am new to tensor quantization, and tried doing something as simple as import torch x = torch.rand(10, 3) y = torch.rand(10, 3) [email protected] with PyTorch quantized tensors running on C...

I'm trying to get a Mobilenetv2 model (retrained last layers to my data) to run on the Google edge TPU Coral. I've followed this tuturial https://www.tensorflow.org/lite/performance/post_training_...

I'm trying to use UINT8 quantization while converting tensorflow model to tflite model: If use post_training_quantize = True, model size is x4 lower then original fp32 model, so I assume that mode...

Recently, I've started creating neural networks with Tensorflow + Keras and I would like to try the quantization feature available in Tensorflow. So far, experimenting with examples from TF tutoria...

I'm looking at the Tensorflow tf.nn.quantized_conv2d function and I'm wondering what exactly the qint8, etc. dataypes are, particularly if they are the datatypes used for the "fake quantization nod...

Is it possible to use tf.contrib.quantize.create_training_graph for model quantiation with already trained Keras model? As I understand I can import tf.Graph from Keras model, but can I fin...

What I want to do I'm trying to create a quantized version of the Inception-ResNet-v1 model used in facenet - with not only quantized weights, but quantized nodes as well, according to Tensorflow'...

I need to generate a color palette of the top 5 dominant colors in an image. I'd like to replicate the results of Embedly's extract tool or Color Thief. The following command gives me slightly dif...

Here is the example I am testing on MNIST dataset for quantization. I am testing my model using below code: import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data fro...

I would like to train a quantized network, i.e. use quantized weights during the forward pass to calculate the loss and then update the underlying full-precision floating point weights during the b...

So I'm trying to encode some animated gif files in my Java application. I've been using some classes/algorithms found online, but none seem to be working well enough. Right now I'm using this quan...

I recently read a very interesting paper (http://arxiv.org/pdf/1602.02830v3.pdf) suggesting a method for training a CNN with weights and activations constrained to [-1,1]. This is highly beneficia...

I tried the quantization tools in Tensorflow with a toy model. It surely reduced the model to about 25% percent, however, increase the executing time by many times. GPU is fully used when both mo...

A Note For Readers: This is a long question, but it needs a background to understand the question asked. The color quantization technique is commonly used to get the dominant colors of an image. O...

NeuQuant.js works well when the image width and height are a multiple of 100: 300x300 Otherwise, there is obviously a bug: 299x300 (These were made with this web app.) I'm 90% sure that the ...

There is a nonlinear dynamic system x_n = f(x_n,eta) whose functional form is x[n+1] = 2*x[n] mod 1. This is a chaotic dynamical system called as the Sawtooth map or the Bernoulli Map. I am facing ...

Problem : How do I use a continuous map - The Link1: Bernoulli Shift Map to model binary sequence? Concept : The Dyadic map also called as the Bernoulli Shift map is expressed as x(k+1) = 2x(k) ...

I am currently working on a Gesture Recognition application, using a Hidden Markov Model as the classification stage on matlab(using webcam). I've completed the pre-processing part which includes e...

On emulators running Android 4.0 or 4.0.3, I am seeing horrible colour banding which I can't seem to get rid of. On every other Android version I have tested, gradients look smooth. I have a Surfa...